The DMA data conference
Thursday 1 March 2012, London

#dmadata



  Gold sponsor      Gold sponsor   Media partner
Welcome from the chair



Terry Hunt
Chief Executive Officer, Customer & Co
Keynote Address



Christopher Graham
Information Commissioner
European data protection
reform


Achim Klabunde
Policy Officer Data Protection, Directorate General for Justice,
European Commission

Achim has requested his slides are not made available
UK’s position on European
data protection reform


The Rt Hon. Sir Alan Beith MP
Chairman of the House of Commons Justice Select Committee
Refreshments & networking
Countdown to cookie
compliance


Fedelma Good
Head of Marketing Privacy & Information Management, Barclays


Marc Dautlich
Partner and Head of Information Law, Pinsent Masons LLP
DMA Data Protection
Conference 1st March 2012

    Countdown to Cookie Compliance
                            Fedelma Good
     Head of Marketing Privacy & Information Management, Barclays

                            Marc Dautlich
       Partner and Head of Information Law, Pinsent Masons LLP
Introduction




http://www.dma.org.uk/content/countdown-cookie-compliance%E2%80%A626-may-2012
Covering


• Introduction

• Clarifying the boundaries of the revised law
• Guidance - from the legal and the regulatory perspective

• How ready is UK plc for May 26th?

• What impact are the changes likely to have?

• Some final, practical advice
Clarifying the boundaries of the revised
                      law
Beware: The law doesn’t just cover cookies
•   The law isn’t actually about cookies, but because it affects them so much people
    have started calling it the ‘Cookie Law’

•   The law covers all technologies which store information in the “terminal equipment" of
    a user, and that includes so-called Flash cookies (Locally Stored Objects), HTML5
    Local Storage, web beacons or bugs…and more


And it doesn’t just apply to websites …
•   You also need to think about other instances where similar technologies are used e.g.
    emails and Apps.


But intranet sites are excluded
•   i.e. sites targeted purely at your employees.
In summary

Those setting cookies must:

• tell people that the cookies are there,
• explain what the cookies are doing, and
• obtain their consent to store a cookie on their device.
Can browsers help?
• The law provides that browser settings can be used to indicate
  consent, but, the view of the ICO is that current browser settings are
  inadequate for the task.
• The hope is that browser software will provide a solution (but this
  would rely on 100% uptake of any new releases).
• Microsoft's Internet Explorer 9 browser already offers a setting to
  protect users from potentially intrusive cookies.
• Firefox and Google's Chrome could soon follow suit as they attempt
  to integrate 'Do Not Track' technologies.
• Safari, the default web browser on the Apple iPad and iPhone,
  blocks third-party cookies by default.
• DCMS are continuing to talk with the browser manufacturers and we
  hope to hear more from this in the near future.
Guidance
    … from the legal and the regulatory perspective

The ICO’s perspective
•    On 13 Dec 2011 the ICO issued his half-term report on how things
     are going. His verdict, he wrote, "can be summed up by the
     schoolteacher's favourite clichés: 'could do better' and 'must try
     harder'. A report that listed the URLs of sites that were perfectly
     compliant from day one would be very short indeed. This is not a
     surprise to anyone who recognises that redeveloping and
     redesigning is no easy task.“
The ICO’s core advice remains the same:

     “It is not enough simply to continue to comply with the 2003
    requirement to tell users about cookies and allow them to opt out.
       The law has changed and whatever solution an organisation
         implements has to do more than comply with the previous
                         requirements in this area.”

1. Check what type of cookies and similar technologies
   you use and how you use them.
2. Assess how intrusive your use of cookies is.
3. Decide what solution to obtain consent will be best in
   your circumstances.
Take some comfort …

•   “The guidance we’ve issued today builds on the advice we’ve
    already set out, and now includes specific practical examples of
    what compliance might look like. We’re half way through the lead-in
    to formal enforcement of the rules. But, come 26 May next year,
    when our 12 month grace period ends, there will not be a wave of
    knee-jerk formal enforcement actions taken against those who are
    not yet compliant but are trying to get there.”
Some recurring questions
• Websites with a global audience?
• Legal responsibility vs brand impact?
• Who goes first (or last)?
  – Will big brands wait until 26th May to make their website changes
    live or will they step out bravely earlier than this?
• The do nothing brigade?
  – Are those who have decided to do nothing playing a dangerous
    (or a clever) game?
• Consumer awareness?
  – As awareness and understanding increase will website users
    who come across non compliant sites be more likely to
    complain?



                               Page 17
Some emerging approaches
• IAB
• ICC
• Non-trade association approaches:
  – Evidon
  – CookieQ




                    Page 18
How ready is UK plc for May 26th?
•   Google awareness campaign – Good to know
•   Google
•   Redbridge Media
•   BBC
•   DCMS




                      Page 19
What impact will all this have?

The (free) internet relies on cookies …
• A large number of services may only be offered – free of
  charge – because their providers finance them by means of
  advertising and behavioural targeting has proved to be the
  most efficient method of advertising on the Internet.
• In other words, many services that are available on the
  Internet could not be offered at all or at least not free of
  charge, if they were not financed by advertising.
What impact will all this have?

• Conservative estimates are that over 92% of websites in the
  EU use cookies at the moment
• They’ll either have to stop using cookies, or start gaining
  consent
• And the burning issue is … how to gain consent
• A business coalition has created a website to illustrate how
  the Dutch transposition of the European E-Privacy Directive
  would impact the web surfing experience …
What impact will all this have?

• There are other sites that demonstrate the potential impact in a
  humorous way including David Naylor’s site …
What impact will all this have?

• And no matter what choice you make the impact could be significant …
Ouch!
Some final, practical advice
• If you haven't already started to look at the issue, do so today
• Inform and educate internally
• Ensure the issue is understood by senior stakeholders
• Allocate budget and resource
• Set up a cross functional task force to manage the process
  through to completion
• Ensure customer facing staff know what to say if customers
  ask what your organisation is doing to comply
• Make easy and immediate changes e.g. add to your existing
  cookie policies to tell your customers that you are getting
  ready




                               Page 32
Some final practical experience
•   Identify all your websites
•   Audit your websites
    1. Check what type of cookies and similar technologies
       you use and how you use them.
    2. Assess how intrusive your use of cookies is.
    3. Decide what solution to obtain consent will be best in
       your circumstances.
•   Implement and test your solution
•   Provide clear and understandable descriptions of
    cookies (in same or similar language to others?)




                             Page 33
And finally
•   Remember that this is not just about being compliant for
    26 May 2012:
    – Set up policies and procedures to manage the issue going
      forward
•   Ensure the issue is understood by senior stakeholders




                               Page 34
Thank you.




    Page 35
Has data compliance killed
the telemarketing channel?


Mark Walton
Chief Executive Officer, Aquira
Mark Walton, C.E.O.
Will Data

the
             Legislation
                           kill
      Telemarketing channel ?
60 million
   records a year

     20,000
     new customers a month



          1000
             managed staff
£2 billion
1.1 m people
500      businesses


60,000   in telemarketing
124   companies

86%     said   ‘telemarketing
                 important’

68%               planning   MORE
intrusive
generic
valueless
intimidating


annoying
dishonest
time-consuming

distracting


scary !
rant to Ofcom..




Source: ICO, 6 Jan 2012 September 2010 to September 2011
Source: Ofcom, CCT data


                                                           1   2
EC legislation headlines
Affects storage
•It’s personal !
•Security and
                us all
     • Why, what purpose, how long?
•Rightmore portability & complaint
Be to access proactive
•Communications – EXPLICIT OPT-IN
Severe fines
•Pro-active breaches – come clean!
(a) the purposes of the processing;
(b) the categories of personal data concerned;
(c) the recipients or categories of recipients to whom the personal data
have been disclosed, in particular the recipients in third countries;
(d) the period for which the personal data will be stored;
(e) the existence of the right to request from the controller rectification,
erasure or restriction of processing of personal data concerning the data
subject; (right of access)
(f) the right to lodge a complaint to the supervisory authority and the
contact details of the supervisory authority;
(g) communication of the personal data undergoing processing and of
any available information as to their source.
telemarketing hits             legislative brick wall?



17.2                      million    TPS
12          million landline



5.2          mobile
Multi-channel access
Sophisticated consumers               messages a day
Telemarketing can be

positive
Conversion rates & ROI




      Affinity   Online   Retail   Telemarketing
Standard
                           Standard   Enhanced
                                      Enhanced
LEAD GENERATION
Bound by figures
 Data DMC Rate
                             Data
                            30.00%
                                        Data
                                       50.00%
Calls Per Hour                 22        10
DMC’s Per Hour                  6         5
Productive Hours Per Day       6.5       6.5
DMC Conversion Rate            1%      12.50%
Sales Per Agent Day           0.43        4
Data Penetration Rate         50%       80%

         Driven by data
Data Required Per Day
Cost Per Lead
                              286
                             £0.10
                                         82
                                        £1.50
Data CPA                    £66.67     £30.28
Consumer
insight
 we can target you
Emerging telco

        negative press



Ofcom penalties ?

             97
        complaints
getting it right



           3 million
             records per month


                 20 million
                records hosted

          Dialler ready data
             Sales coaching
Performance and MI reporting
getting it right


                                              results
• Successful performance model developed

• 10,000 additional customers every month
• Cost per sale down   by 16%    (lowest ever )

• Sales up 30% on year
• Annual data usage reduced by 150%

• ROI has saved over £1million per year

• Reduced non compliant data usage to zero

• Mitigated bad publicity and avoided Ofcom penalties
Data Legislation
will not kill
the

Telemarketing
channel
Mark Walton, C.E.O.
www.aquira.co.uk 0843 289 0500   Thank you.
Break out sessions
Best practice and legal
issues of social media


Stephen Groom
Head of Marketing and Privacy Law, Osborne Clarke
Best Practice and Legal Issues of
Social Media
Stephen Groom
Head of Marketing and Privacy Law
Osborne Clarke London
1 March 2012
osborneclarke.com




Coming up


• Some basics
• Top ten social media cases: you are the judge
• Key lessons




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Some basics: CAP Code


• ASA-enforced "CAP" UK Code of Non-broadcast Advertising,
  Sales Promotion and Direct Marketing ("CAP CODE") applies to
  any marketing activity in social media provided it is:
  – under the advertiser's control and

  – directly connected with the supply or transfer of goods, services,
    opportunities and gifts or
  – directly soliciting fund-raising donations

• Penalties:
  – full case report published
  – removal of paid-for search linking to relevant page
  – ASA paid-for ads on search engines, highlighting advertiser's non
    compliance
  – microsite for non-compliant online advertisers     61
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Some basics: unfair trading
laws

• Consumer Protection from Unfair Trading Regulations 2008
  ("CPRs")
• apply to the following in any media channel
  – any act, omission, course of conduct, representation or commercial
    communication (including advertising and marketing) by a trader which is
    directly connected with the promotion, sale or supply of a product to or from
    consumers
• Penalties:
  – For businesses and consenting, conniving or negligent directors, managers,
    secretaries or a person purporting to act in that capacity
  – fines up to £5000 and up to 2 years in prison

  – Injunctions under Enterprise Act 2002

  – Public undertakings                                63
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Some basic rules to follow


• Make it clear that an ad is an ad (and not someone's post)
 – see "always unfair" commercial practices #11 & #22 in Consumer Protection
    from Unfair Trading Regs 2008 Schedule 1
 – See also 2.4 and 3.45 CAP Code-identify advertorials and testimonials must
    be genuine

• CAP Code basic rules: legal, decent, honest, truthful
• User-generated content
 – must comply with CAP Code if adopted, highlighted etc by advertiser

 – re-tweeting could trigger CAP Code testimonial rules

• Data protection: collecting personal data from/contacting
  individuals on social media? Comply with DPA/PECRegs
                                                    64
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Social media- marketing on Twitter


• See Twitter's own rules:
  – Promoted Products Policy, UK Guidelines and
    Guidelines for Contests on Twitter e.g.
    • get permission to use another's Tweets
    • promo rules should disqualify entrants using multiple
      accounts to enter
    • discourage repeated retweets
    • Promoted Products targeted to the UK that directly promote
      unlicensed gambling services not allowed
• NB Celebrity Tweet issues-watch out for the Office of Fair
  Trading
                                                 65
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Social media-marketing on Facebook


• See Facebook's own rules:
 – Promotions Guidelines, Advertising Guidelines and
   Platform Policies
 – Promotions must for example:
   • state that promo is in no way sponsored, endorsed, administered or
     associated with Facebook
   • not condition entry on user taking any action using any Facebook
     features or functionality other than liking a page
   • not use Facebook features or functionality as an entry mechanism eg act
     of liking a page

• NB Sponsored stories- CAP Code rules re: eg alcohol
                                                   66
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Top ten cases #1
OFT vs Handpicked Media Feb 2011

• Handpicked Media ("HPM") operates a commercial
  blogging network
• As part of its client services, it engages bloggers to
  provide editorial coverage of topics eg fashion, music
• Blogs include favourable references to HPM clients
• Appear on various sites including Twitter
• No mention of commercial connection between blogger
  and brands
• OFT investigates..
                                         67
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Top ten cases #2
Nestlé and Greenpeace March 2010

• Greenpeace accuses supplier of palm oil to sweet brands
  of illegal deforestation
• Kraft/Unilever suspend contracts, Nestlé: we will
  investigate first
• Greenpeace posts a video criticising Nestlé
• Nestlé takes legal action to get video taken down
• Greenpeace calls for mass retaliation
• Nestlé's Facebook page fills up with complaints and user
  profile pics carry altered Nestlé logos
• Nestlé tells users it may delete altered logos from profiles
                                          68
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Top ten cases #3
Preece v JD Wetherspoon PLC May 2012

• Wetherspoon employee handbook reserves right to take
  disciplinary action if …
 •    any employee blog "including pages on sites such as Facebook
      ..is found to lower the reputation of the organisation, staff or
      customers"

• Pub manager Miss Preece posts negative comments on
  Facebook about verbal abuse and physical threats she
  suffered at hands of two named customers
• Miss Preece thought only 40-50 of her closest friends
  would see these. She actually had over 600 contacts
• Preece is sacked for gross misconduct and appeals
                                                69
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Top ten cases #4
Snickers/ Rio Ferdinand et al Jan 2012

• Rio Ferdinand, Katie Price & ors start posting odd Tweets
  ending with their photo with a Snickers bar
• Last Tweets link to an @snickersUKhungry#spon account
  set up by Mars
• Unclear whether the personalities are paid by Mars
• Two complaints to the ASA
• The ASA is investigating



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Top ten cases #5
Ebuyer and the ASA               December 2011

• Website for online electrical goods retailer Ebuyer.com
• "Foehn & Hirsch Portable WiFi Internet Radio (black)" and
  showed four and a half stars
• Further text states "17 reviews", all favourable
• Complainant's negative review does not feature and he
  complains to the ASA
• Ebuyer to ASA: "current filters are pre-set to show those
  ratings which are most useful and these will be more
  positive than negative"

                                          71
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Top ten cases #6
Hays Recruitment vs Ions June 2008

• Middle ranking Hays consultant Mark Ions…
• uses his LinkedIn network to approach clients for his own
  rival agency "Exclusive Human Resources" ("EHR")
• EHR set up 3 weeks before Ions resigns from Hays
• Hays apply to court for an order that Ions hands over his
  LinkedIn business contacts
• AND all emails sent to or received by his LinkedIn account
  from Hays computer network
• AND all documents showing any use by Ions of the
  LinkedIn contacts and any business obtained from them
                                         72
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Top ten cases #7
Mercedes Benz "Win a Vito" promo Jan 2012

• Entrants to submit creative content showing why they
  should win
• Judging panel draws up shortlist of 10 for public vote
• Ts and cs: right to alter, amend or foreclose at any time
• During voting, a contestant complained that 2 other
  entrants had posted their entries on forum sites using
  public voting systems
• After initially saying this was OK, Mercedes Benz ("MB")
  discovers that the 2 entrants had been offering to pay for
  votes
                                          73
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Mercedes Benz "Win a Vito" promotion #2


• MB suspends voting period, disqualifies 2 entrants and….
• amends ts and cs to
  • reserve right to disqualify any finalists if it has reason to believe
    anyone voting for their submission has been paid or incentivised in
    any way, either by a finalist or a third party
• MB restarts voting
• MB discovers that the original complainant is using websites allowing
  her to exchange votes with other contest entrants
• MB disqualifies complainant
• Complainant complains to the ASA that late change to the rules
  unfairly led to her disqualification and that the contest had not been
  conducted fairly
                                                     74
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Top ten cases #8
Coastal Contacts, Inc (US)               November 2012

• Coastal Contacts ("CC") Facebook page:
  • "Like this page! So you can get your free pair of glasses"

• Competitor 1-800-Contacts complains to the National
  Advertising Division ("NAD") that CC had been misleading
  and fraudulent by…
• omitting to mention offer conditions such as the need to
  pay cost of shipping and handling until after "like" clicked
  and ……
• mentioning the number of "likes" received from all its
  Facebook pages globally in later press releases given to
  investors                                75
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Top ten cases #9
PhonepayPlus and Captive Interactive Feb 2012

• Captive Interactive operates "Miss Teen Queen UK", an
  online beauty pageant ..
• and encourages contestants to post promotional material
  on Facebook urging friends to send texts supporting their
  entry
• The number to text is a premium rate service number
• One contestant does this and as a result two sisters aged
  11 and 12 spend a collective £2548 texting their support
  for that candidate
• PhonepayPlus investigates
                                        76
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Top ten cases # 10
TripAdvisor and the ASA                     February 2012
• The TripAdvisor website states
 • "read reviews from real travellers…offers trusted advice…more than
    50 million honest travel reviews
 • on review pages is TripAdvisor logo and "Reviews you can trust"

• KwikChex Ltd complains to the ASA that the above is
  misleading as TripAdvisor does not verify reviews and
  cannot not prove they are genuine
• TripAdviser: no review site can guarantee it is 100% fraud
  free. Not practical to manually screen all reviews pre post.
  All reviewers have to click to confirm that their review is
  honest and genuine
                                              77
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Sum-up


• Reviews, likes & other user-generated content: use
  and present with care and remember copyright/moral
  right!
• Employees, social media and brands -accidents waiting
  to happen so review your employee social media policies.
• Data protection -so far the platforms, not marketers have
  occupied data privacy headlines, but don't be the first to
  change this and watch out for the new DP Regulation.
• Paid-for endorsements? Read the IBA/ISBA Guidelines.



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Any questions?



     [insert photo here]
       Height = 5.39cm
       Width = 5.81cm




Stephen Groom
Head of Marketing & Privacy Law
T +44 (0) 207 105 7078
M +44 (0) 207 105 7078
stephen.groom@osborneclarke.com
www.marketinglaw.co.uk




                                  79
Best Practice and Legal Issues of
Social Media
Stephen Groom
Head of Marketing and Privacy Law
Osborne Clarke London
1 March 2012
Lunch & networking
Multi-channel permission
management


Daniel Cross
Director of Strategy, Lateral Group


Chris Parkinson
Group Compliance Director, Lateral Group
Multi Channel Opt-in and Permission
                          Marketing
Today’s Agenda

•   Introducing Lateral Group
•   The regulatory challenge
•   Case study and approaches
•   Q&A time
Introducing Lateral Group
Lateral Group Our Vision & Mission

• We help our clients gain greater insights into their customers
  and prospects, supporting them to profitably sell more
  products and services by developing and enhancing
  relationships through the creation and delivery of integrated
  communications across all channels.

• We will continually demonstrate the successes that we
  deliver our clients through the clear measurement of ROI,
  driving on-going effectiveness and efficiency.
Key Propositions
Proposition Elements
The ICM Competency Framework
The Regulatory Challenge
Legislation

• Data Protection Act

• Privacy and Electronic Communications Regulation
DPA Requirements

• Have you gained the correct permission?
  • Did you explain what you are going to use data for
    • Fair processing notices, Privacy policies
  • Did you gain consent?
          • Freely given, full informed, specific to the
            circumstances, and with a positive indication of the
            Data Subject wishes
          • Remember it can be withdrawn!
• You are not using the data for something else – are you?
  • You can only use data for the purpose or purposes
    specified at the point of collection
Legislation

• Privacy and Electronic Communications Regulation
  • Is it a service message or marketing message
     • Can you send a service message?
     • Can you send a marketing message?
  • Is it B2C or B2B?
     • Different rules for each
  • What sort, if any, opt-in do you have or need?
  • Can you prove it?
Email Marketing

• Compliance Requirements
  • From PECR and DPA
  • Service message
    • Opt in not required, but you must have permission
  • or marketing message
    • Opt in is required for consumers
    • Not for business
         • But different in different countries
  • What is Opt-in or soft opt in
European Email opt in rules

Country      Consumer     Business
Austria      Yes          No
Denmark      Yes          Yes
France       Yes          No
Germany      Yes          Yes
UK           Yes          No
Email Opt In

• Soft Opt In
   • If in the process of making a purchase a consumer
     supplies their email address
   • They consent to receive marketing email “for the time
     being”
   • On similar products and services
   • As long as unsubscribe was offered at the time and in
     every subsequent communication
Email Marketing

• Gathering Consumer Consent
   • Cannot provide pre ticked opt in boxes
      • See example
   • Must opt in to having their email address passed to third
     parties
• Each email communication must contain an unsubscribe
  mechanism
Privacy and Consent

• When collecting consent
  • Store the paragraph that the user signed up to against
    record in database
  • Give user as much choice as possible to get best
    response
  • Allow for service messages in web privacy
  • Do not be too restrictive with definitions of usage
      • You cannot easily change it later!
  • Understand email requirements from PECR
Addressing the Challenge
Increasing Email Permissions

• The drive to integrate online channels to reduce costs
  and develop relationships often highlights issues with
  customer permissions.
• Often these arise through changes in permission
  processes, legacy systems or new data acquisition.

• …there are a number of strategies available for
  marketers to ensure that their permission data is
  optimised in a multi-channel environment.
Email Permission Strategies
                       No Email   Email


      Permission
       No Permission
Engage: Opt In Permissions Capture

•




Result: 31% increase in opted-in contacts
Questions
Consumer targeting through
the ages


Mark Patron
Chief Executive Officer, RedEye
DMA data conference




     Multi-channel marketing
analysing multi-channel online data is like
    trying to drink from a fire hydrant

               Mark Patron
              1st March 2012


                                              10
                                              6
Agenda



         • Data Protection legislation

         • How consumer data has developed

         • Behavioural data - email example

         • Multi-channel media attribution




                                              10
                                              7
Data Protection legislation

• European Data Protection legislation is good for the
  advertising industry. Protects it from itself.
• Just compare with US self-regulation where three
  quarters of Americans signed up to “do not call” list.
• Consumers in the US feel they have lost control of their
  personal data. In Europe consumers have recourse
  through Data Protection legislation.
• The balance between consumers’ right to privacy and
  marketers’ wish to target is a fine and sometimes fraught
  one.
• This balance changes over time, for example Tesco
  Clubcard, 1 - 2% discount in exchange for personal data.

                                                              10
                                                              8
New EU Data Protection Directive


New right to be forgotten      Good idea. Consumers
                               wound up if no one
                               remembers. Auditing?


Limits on profiling of         In employment law for a fair
individuals                    selection or redundancy
                               process use a scorecard!

Data protection registration   Really for mainframes!
requirements and costs         Can legislation keep up?...
abolished


                                                              10
                                                              9
Facebook and privacy

• “Every year people are sharing twice as much
  information as the previous year” Facebook CEO, Mark
  Zuckerberg
• Facebook is a case study in how respecting and
  protecting privacy is fundamental to trusting a brand
• Facebook, similar to many data driven businesses, has
  an inherent conflict - it makes more money by being
  more open with peoples’ personal data
• The next generation are growing up online and are not
  passive recipients of information anymore, they share…
• But employers are discriminating against candidates
  because of something they shared on Facebook

                                                           11
                                                           0
Google and privacy




               Content tracking     Google new privacy policy:
                                    identify users across all its
                                    services and integrate data
                                    across all its services
              Digital photographs
              when & where taken    Could locate individuals in any
              + face recognition    digital photograph on internet
                                    & derive where user has been,
                                    with whom and doing what



Add YouTube and Android smartphones “implications are breathtaking”
                                                   Source: FT 16/2/12
                                                                        11
                                                                        1
Different types of consumer data


                Transactional/RFM   What?
 Customer
                Behavioural         Where?



 Demographic    Lifestyle
                                    How?
                Credit


 Attitudinal    Market research     Why?



                                             11
                                             2
How consumer data has developed

Date Type of data         Source              Recency      1st/3rd   Revenue/
                                                           party     user/yr
‘80’s   Customer d’base Customer               < 1 day       1st       £50
                        transactions
        Geodemographics Census                < 10 years   Anon.      £0.05

‘90’s   Lifestyle         Lifestyle surveys   < 6 months     3rd        £2

‘00’s   Transactional     Co-op databases     < 1 month      3rd       £0.5

        Search            Google              Real time      1st       £15

        Behavioural       Web analytics and   Real time      1st       £50
                          email database
‘10’s   Social media      User generated      Real time    1st/3rd      £3
                          shared content


                                                                                11
                                                                                3
How do you segment your customers?




Source: Econsultancy/RedEye Conversion Rate Optimization Report 2011

                                                                       11
                                                                       4
What do you use segmentation for?




Source: Econsultancy/RedEye Conversion Rate Optimization Report 2011

                                                                       11
                                                                       5
Relevance is key


46% of respondents said
that irrelevancy is the
main reason for
unsubscribing from
company’s email
newsletters…

Frequency of emails is another reason with 23% of email
users listing it as a reason to unsubscribe.




                                                          11
                                                          6
How to make emails more relevant




                                   11
                                   7
How it is done




                 11
                 8
Evans Cycles case study


Evans Cycles implemented
a highly segmented,
customer lifecycle email
marketing strategy.

• 103% increase in year
  on year revenue
• 2399% ROI
• 84.9% open rate
• 40.5% click through rate   2399%
                              ROI


                                     11
                                     9
Online data varies considerably in quality

                       Ov e r Re porting of Visitor Figure s ov e r 28 day pe riod
                                              on xxx.com
                700%
                600%
                500%
                400%
                300%
                200%
                100%
                  0%
                       1    3    5   7    9    11   13   15     17   19   21   23   25   27

                                              IP Based        Cookie Based



       Method                   Good                             Limitations
       IP                       Cheap and easy                   Inaccurate
                                                                 garbage-in garbage-out
       Cookie                   Cheap and easy,                  Cookie deletion and
                                More accurate                    blocking
       Log in                   More accurate for                More expensive
                                registered visitors,             What to do about non
                                Better for targeting             registered users?
       Cookie & log in          Much more accurate               More expensive
                                                                 More difficult
                                                                 More commitment needed
                                                                                              Source: RedEye

                                                                                                               12
                                                                                                               0
Greatest challenges facing web analytics?




Web Analytics Association (2011) Outlook Survey

                                                  12
                                                  1
A typical customer journey




              Origination    Assists   Last click

                                                    12
                                                    2
Media attribution - last click wins


• Default model since post click tracking began online in the
  mid nineties and adopted as standard by Google AdWords,
  DoubleClick and web analytics vendors
• Aggregators like MoneySupermarket have used a model
  that allows them to own the prospect for up to 60 days
• Online data shows the full interaction a customer has with
  the brand across all channels
• Enables you to see the time between visits, the influence a
  channel has on each sale
• But it’s a lot of data to crunch…




                                                                12
                                                                3
What the data looks like




                           12
                           4
Monarch Airlines case study

• On average 60% of sales have some form of assist
• Half of all sales with an assist complete on a different
  channel from the assist
• In some cases you can attribute up to 60% more of your
  sales to tracked media rather than ‘unknown’ or ‘direct to
  site’
• Media attribution analysis led to streamlining online
  marketing activity:
     • Migrating from PPC to SEO for destination terms
     • Paid destination terms expensive & not converting OR
       supporting SEO terms
     • Increased investment in comparison site activity…


                                                               12
                                                               5
Assist Correlation Nodes – January 08

                                      3.5%


            Email                                             Natural Search
            All Sales                                            All Sales
         2.5% no assists
                                      8.5%
         48% self assist
                                                              18% no assists
                                                              45% self assists
                           2%                   14.5%


    4%              9%
                                                                3.5%               10%


                                17%                     3%
     Paid Search
                                                               Comparison
        All Sales
     17% no assists                      4%                       Sites
                                                             Comparison sites
                                                                  All Sale’s
     42% self assists
                                                             29% no assists
                                                                29% no assists
                                                                30% self assists
                                                        Lower crossover to over
                                         8.5%
                                                                channels
                                                          Increase investment            12
                                                                                         6
Assist Correlation Nodes – January 08
Drill into search
                                      16%


       Paid Search -                                  Natural Search
          Brand                                          - Brand
                                      12.5%
         All Sales                                       All Sales
       17% no assists                                 16% no assists
       42% self assist                                41% self assists

                              4%
                                4%             0%



                           Non brand / Destination    4.5%                      9%
       0%          0%                                   4.5%
                           terms
                           Not influencing brand 8%
                                    25%

         Paid Search
                           terms                              Natural
                                        0%
            – Non
            Brand
                           Don’t spend extra money          Search – Non
                                                               Brand
           All Sales
         25% no assists
                           on expensive paid                    All Sales
                                        0%                   30% no assists
         0% self assists
                           destination terms                 31% self assists




                                                                                     12
                                                                                     7
Example output matrix


                      Closes sales -                               Spend More
 % last Click Sales

                      Integrate with overall
                      strategy
                                                           Email
                                                PPC
                              Display

                                                                    SEO

                                    Affiliate


                                                      Starts sales process -
                                                         Integrate in overall
                      Reduce spend                                  strategy


                               % total contribution

                                                                                12
                                                                                8
Conclusion


• The balance between consumers’ right to privacy and
  marketers’ wish to target is a fine and sometimes
  fraught one
• 1st party data - consumers understand and expect
  3rd party data - consumers expect permissioning
  1st/3rd party sharing/network effects - more thought reqd.
• We are in danger of blindly giving up our future privacy
  in return for free apps
• We need good regulation and privacy watchdogs to
  protect consumers (and the advertising industry from
  itself), but not to stifle innovation (or jobs)


                                                               12
                                                               9
Thank You




            13
            0
The impossible dream: How to
adopt basic rules to measure
your marketing

Matthew Tod
Chief Executive, Logan Tod & Co
The Impossible Dream?
Complete, accurate & cost effective Multi-Channel Measurement




Matthew Tod, CEO Logan Tod & Co




© 2011 Logan Tod & Co             March 2, 2012
Retail & Consumer Clients




© 2011 Logan Tod & Co
  2012                  10 January 2012   133
What I’m going to talk about today

• The broken measurement model and the reasons it requires an
  upgrade to meet the needs of Multi-Channel businesses


• Why most Cookies are broken and we should celebrate their
  demise wholeheartedly


• The measurement challenge that we now must tackle




© 2011 Logan Tod & Co       March 2, 2012                       134
The consumer purchasing journey time for many
categories extends over a considerable period




                                        Source: Google/Nielsen NetView – Beyond Last Click



© 2011 Logan Tod & Co   March 2, 2012                                                        135
The complexity of the purchase journey is much
greater than is usually appreciated




                        This is probably an underestimate
                        due to the nature of the survey
                        panel
                                        Source: Google/Nielsen NetView – Beyond Last Click


© 2011 Logan Tod & Co   March 2, 2012                                                        136
The current measurement model is very simplistic
and is based upon an old fashioned view of the web




© 2011 Logan Tod & Co   March 2, 2012            137
The simplistic model does not match the facts that
Logan Tod & Co measure for clients every day



                        Less than half of sales come
                        from the “1 click 1 channel”
                        model




                                                       Source: Logan Tod


© 2011 Logan Tod & Co               March 2, 2012                          138
The real Single View is very complex when real
consumer behaviour is mapped out over time




© 2011 Logan Tod & Co   March 2, 2012            139
Cookies ‘suck’ as a tracking mechanism, so stop
worrying about them so much!




© 2011 Logan Tod & Co   March 2, 2012             140
Our tracking methods are broken and need to adapt
and develop a whole new measurement paradigm

• Most tracking is binary (buy/didn't buy) and makes no allowance
  for the consumer journey
    • “Last Click” predominates
• We focus on single outcomes not value created
   • No value in research? Too difficult? Poor knowledge?
   • Scorecards provide a much better perspective on
      campaigns
• By not showing the full impact of a campaign we
   • Over simplify the marketing process
   • Hide real insight into how consumers buy
   • Undervalue our efforts
   • Misrepresent ROI

© 2011 Logan Tod & Co        March 2, 2012                     141
The numbers don’t add up again, don’t pretend they do!

You need to think about a total measurement strategy

Perfection is unachievable, aim to lower uncertainty

You will need to accept working with samples of data

You will need to use statistical methods not counts

Testing has to be built in to all marketing activity



   © 2012                 02/03/2012                   142
Defining your vision for a multi-channel data,
measurement and insight strategy

• What are the BIG questions you need to answer?
         • How should I best allocate my marketing budget?
         • How can I optimise each channel within a multi-channel context?
         • What are the real constraints to faster more profitable growth?


• What is the VALUE of the answers to these questions?
         • Measurement costs, but you have to spend appropriately, backed
           by a proper business case, to justify it
         • The business case is built by answering questions such as:
                  • What is the true profit you would generate from being 10%, 20% or
                    30% more effective at spending your marketing budget?
                  • What would be the value of focusing your development budgets on
                    the real constraints to growth?


© 2011 Logan Tod & Co                      March 2, 2012                           143
Good questions need integrated data sets &
smarter methods to provide valuable answers




© 2011 Logan Tod & Co   March 2, 2012         144
Good base data is essential; but currently there is a
lack of focus and investment

• ‘Buckets of campaign data’ held in different systems are
  misleading, making sensible analysis impossible
• One source of ALL digital campaign data is a pre-requisite
         • All means all! Search (paid, natural), Affiliate, Email, Display,
           Comparison engines etc. recorded in one system

• The single campaign data collection tools include:
         • Full data collector tools: Celebrus, Magiq
         • Tag management tools: Tagman, Tealium, Site Tagger
         • Web analytics tools: Adobe Omniture, Coremetrics, Google
           Analytics, Webtrends

• Tools are not enough, process is needed to make it work



© 2011 Logan Tod & Co                   March 2, 2012                          145
Single View cannot be achieved, so do simple things
quickly, earn a return, evolve and improve

• Connected ‘Islands of Excellence’ NOT a ‘Single View of the
  customer ’ is the best option currently
         • White Elephant ‘Single view of customer’ IT driven projects are too
           slow, too expensive and will not yield a single view

• Build Island of Excellence first
         •    Campaign data: Single collection point for all campaigns
         •    Product data: Price, relative price, review score, availability
         •    Customer data: Transactions, engagement, comment
         •    Customer experience: Measure the experience across platforms

• Use Cloud based tools, like Quantivo, to speed up production of
  each island and then connecting islands together



© 2011 Logan Tod & Co                    March 2, 2012                          146
Tools like Quantivo are game-changers for multi-
channel data analysis & insight

                                                                       Answer real-world questions to help
                                                                        Answer real-world questions to help
                                                                       you drive impressions, visits,
                                                                        you drive impressions, visits,
                                                                       conversions, or any other behavior.
                                                                        conversions, or any other behavior.




                                                      1
                                                          This online media provider
                                                           This online media provider
                                                          discovered that Xbox channel
                                                           discovered that Xbox channel
                                                          content was bringing first-time
                                                           content was bringing first-time
                                                          visitors referred from Google back
                                                           visitors referred from Google back
                                                          for repeat visits...
                                                           for repeat visits...




2 ...and that those
   ...and that those
  return visitors were 4x
   return visitors were 4x                       ...and that sessions which featured
                                                  ...and that sessions which featured
  more likely to be
   more likely to be                             visits to music game content more
                                                  visits to music game content more
  attracted to music
   attracted to music
  games...
                                             3   than doubled the average page views
                                                  than doubled the average page views
   games...                                      for that session, from 22 to over 45!
                                                  for that session, from 22 to over 45!




© 2011 Logan Tod & Co        March 2, 2012                                                             147
Statistical techniques are now a prerequisite to
understanding consumer behaviour properly




© 2011 Logan Tod & Co   March 2, 2012              148
People & Skills




                        A new breed of Marketing Data Scientists is needed
                        who can use statistics and plan/execute the tests
                        needed to deliver answers




© 2011 Logan Tod & Co                        March 2, 2012                   149
To summarise


• The current industry measurement model needs to be retired
         •    It   is naive and does not reflect consumer reality
         •    It   is broken because it relies so heavily on the discredited cookie
         •    It   cannot provide the answers to proper business questiosn
         •    It   undervalues the impact of may activities

• Get a measurement strategy before everything else
• Smart data collecting with a simple scalable approach enables
  smart people to deliver competitive advantage
• So what is your plan?




© 2011 Logan Tod & Co                       March 2, 2012                             150
Questions, suggestions and
feedback please!

matthew.tod@logantod.com
  matthew.tod@logantod.com


© 2011 Logan Tod & Co   March 2, 2012
Beyond the like: Measuring
value and effectiveness on
social media engagement

Roger Warner
Managing Director, Content & Motion
Refreshments & networking
Making sense of consumer data
in the digital world


Jonathan Burston
Sales Director, CACI
Making Sense of Consumer Data in the Digital World



Jonathan Burston
Sales Director, Integrated Marketing Group
A few years ago there was ‘The Line’…


  Long lunches, beautiful ads, sexy models, big budgets…

  Sales? ROI? The econometric model says we need more TV…

  “We’re brand builders, darling.”




                           Targeted comms, just smaller budgets (& lunches)…

                               Response Rates may be low but it’s profitable…

                                      “We use data-driven insight & analysis”.
…consumers interacted directly with brands




  “ I buy in shop, direct or through an intermediary
     I’ll ask friends or read reviews in magazines

     I watch TV, read the paper, have a mobile

     Identity theft is losing my wallet

     My bank, the Government & data companies know me

     Brands or data companies survey me
     I can opt out or ignore comms    ”
The information age has transformed this…




  Explosion of channels

  Google, Facebook, Apple etc. are the new data giants

  Technology, software, social change?

  We’re all fuelling this data explosion

  More data for marketeers then ever before…
…consumers don’t just engage directly with a brand


  800m Facebook users/ 100 million Twitter users

  ½ of all mobiles to be smartphones by 2015

  Over 250m Tweets a day

  Over 18bn App downloads via iTunes

  Twitter has over 15bn API calls per day
Now we have what we’ve always craved: Contextual Data


  Likes, dislikes, real-time location, preferences, interest…


     Consumers openly supply data to brands & friends

     Brand interaction can be tracked
                                                           Active
     Word of Mouth can be measured                         Brand
                                                        Engagement
     Consumer influence can be gauged

     Tracking technology continually getting smarter
Digital trails are long and complex…



                                                                          Network
                                                                          Network

                                                            Comment
                                                            Comment      Engagement
                                                                         Engagement

                                               Location
                                               Location     Sentiment
                                                            Sentiment     Referral
                                                                          Referral

                                Personal
                                Personal       Interest
                                               Interest     IP Address
                                                            IP Address    Affiliation
                                                                          Affiliation

                                Purchase
                                Purchase     Click-Stream
                                             Click-Stream    Cookie
                                                             Cookie          Age
                                                                             Age

                               Preferences
                               Preferences   Open Rates
                                             Open Rates     Time/Date
                                                            Time/Date      Income
                                                                           Income

                                             Click-Thrus
                                             Click-Thrus     Screen
                                                             Screen      Geo-dems
                                                                         Geo-dems

                                                              Likes
                                                              Likes        Trigger
                                                                           Trigger

                                                                         Behaviour
                                                                         Behaviour
…customer records are becoming more complex & diverse



           Personal Data
           Personal Data                   Personal Data
                                           Personal Data

       Demographic & Lifestyle
       Demographic & Lifestyle        Demographic & Lifestyle
                                      Demographic & Lifestyle
      Transactional Information
      Transactional Information      Transactional Information
                                     Transactional Information
            Comms Data
            Comms Data                     Comms Data
                                           Comms Data

                                    Behavioural (Web & Comms)
                                    Behavioural (Web & Comms)

                                     Predictive (Web & Comms)
                                     Predictive (Web & Comms)

                                             UGI & CVI
                                             UGI & CVI
                                      Social Media Engagement
                                      Social Media Engagement
                                            Sentiment
                                            Sentiment
A Consumer Digital Data Model




                                                                                                                       Web

                                                                                 Brand
                                                 ESP
                                                                                                                 P           Cookies
                                                                                           Social
                                                         WEBSTE                            Media
                                                                                                                                       Beacons
                               WEBSITE
                                                  P                                 A
                        A                                           WEB
                                                                  ANALYTICS                                                                Flash Cookies




IDENTIFIABLE           CONSUMER                        CONSUMER                            3RD PARTY                         3rd PARTY                     ANONYMOUS
CONSUMERS             VOLUNTEERED                       DERIVED                          VOLUNTEERED                         DERIVED                       CONSUMERS

                Personal data provided to an   Data derived about consumers    Data acquired on consumers        Data collected & aggregated
                  organisation directly by        or customers based on       via 3rd party Social Media sites    on anonymous consumers
                  consumers or customers            observed behaviour              (and intermediaries)         based on observed behaviour



               • Contact Details
               • Contact Details               • IP Address
                                               • IP Address                   • Personal details
                                                                              • Personal details                 • Web behaviour
                                                                                                                 • Web behaviour
               • Preferences
               • Preferences                   • Cookie data
                                               • Cookie data                  • Network Size
                                                                              • Network Size                     • Click-stream data
                                                                                                                 • Click-stream data
               • Purchases
               • Purchases                     • Browsing history
                                               • Browsing history             • Location
                                                                              • Location                         • Location/ IP Address
                                                                                                                 • Location/ IP Address
               • Location
               • Location                      • Screen Resolution
                                               • Screen Resolution            • Brand affiliation
                                                                              • Brand affiliation                • Shopping Basket
                                                                                                                 • Shopping Basket
               • Personal Data
               • Personal Data                 • Email Behaviour
                                               • Email Behaviour              • Comment
                                                                              • Comment                            data
                                                                                                                    data
               • Privacy Options
               • Privacy Options               • Email Provider
                                               • Email Provider               • Sentiment
                                                                              • Sentiment                        • Interests
                                                                                                                 • Interests
               • Reviews
               • Reviews                                                                                         • Preferences
                                                                                                                 • Preferences
               • Brand sentiment
               • Brand sentiment                                                                                 • Aggregated
                                                                                                                 • Aggregated
               • Contextual data
               • Contextual data                                                                                   demographics &
                                                                                                                    demographics &
               • Brand Engagement
               • Brand Engagement                                                                                  geo-demographics
                                                                                                                    geo-demographics
               • Likes/ Dislikes
               • Likes/ Dislikes
Marketing language is rapidly changing…

                                      Open
                     APIs            Networks


                                                  Amplification
     Communities


                                                   Social
    Conversational                                Networks
      Marketing


                                                Tradigital
          Augmented
                                                Marketing
            Reality
                             Sentiment
                             Monitoring
…consumer expectations have increased


             FROM                               TO

         6 week reaction                0.06 second reaction

          Single Channel                 Multiple Channels


           One to Many                  One to One to Many

               Push                             Pull

         Data assimilation              Customer dialogue


              Muted                            Loud
Marketing models have to (and are) adapting




                      PUSH
                             Acquisition     Growth         Retention
           PULL

           Engage

                           Brands need to record, link, monitor and
                         utilise relevant data collected from inbound,
          Influence      outbound and intra-consumer conversations,
                          across all relevant channels to drive better
                           conversations and therefore have deeper
                                     customer relationships
          Amplify
Familiar challenges still exist




   Data held in organisational silos

   A lot is known about a few

   Data rich; insight poor

   Brand centric data, not user centric-data

   Organisational planning still product, not consumer focussed
Have we lost our privacy?




                            Picture: viiphoto.ning.com
Where next?




  • Consumer digital is increasing and will only increase

  • Digital data market is changing rapidly – often daily

  • Whether social, web behaviour, email behaviour, Open ID or all – no brand is
    impervious & you’ll already be collecting this data

  • Increasingly more difficult for marketing organisations to help clients have
    coordinated ‘direct’ conversations with their customers

  • Permission management still key
Jonathan Burston
Sales Director, Integrated Marketing Group

T: 020 7065 6137
E: jburston@caci.co.uk
@jonathanburston
From mad men to math men: A
look at the current
transformation of the marketing
industry
Gregory Roekens
Chief Technology Officer, Wunderman
Closing comments from the
chair

Terry Hunt
Chief Executive Officer, Customer & Co
Thank you for attending


To see a list of upcoming events please visit

http://www.dma.org.uk/event-listing

The DMA conference 2012

  • 1.
    The DMA dataconference Thursday 1 March 2012, London #dmadata Gold sponsor Gold sponsor Media partner
  • 2.
    Welcome from thechair Terry Hunt Chief Executive Officer, Customer & Co
  • 3.
  • 4.
    European data protection reform AchimKlabunde Policy Officer Data Protection, Directorate General for Justice, European Commission Achim has requested his slides are not made available
  • 5.
    UK’s position onEuropean data protection reform The Rt Hon. Sir Alan Beith MP Chairman of the House of Commons Justice Select Committee
  • 6.
  • 7.
    Countdown to cookie compliance FedelmaGood Head of Marketing Privacy & Information Management, Barclays Marc Dautlich Partner and Head of Information Law, Pinsent Masons LLP
  • 8.
    DMA Data Protection Conference1st March 2012 Countdown to Cookie Compliance Fedelma Good Head of Marketing Privacy & Information Management, Barclays Marc Dautlich Partner and Head of Information Law, Pinsent Masons LLP
  • 9.
  • 10.
    Covering • Introduction • Clarifyingthe boundaries of the revised law • Guidance - from the legal and the regulatory perspective • How ready is UK plc for May 26th? • What impact are the changes likely to have? • Some final, practical advice
  • 11.
    Clarifying the boundariesof the revised law Beware: The law doesn’t just cover cookies • The law isn’t actually about cookies, but because it affects them so much people have started calling it the ‘Cookie Law’ • The law covers all technologies which store information in the “terminal equipment" of a user, and that includes so-called Flash cookies (Locally Stored Objects), HTML5 Local Storage, web beacons or bugs…and more And it doesn’t just apply to websites … • You also need to think about other instances where similar technologies are used e.g. emails and Apps. But intranet sites are excluded • i.e. sites targeted purely at your employees.
  • 12.
    In summary Those settingcookies must: • tell people that the cookies are there, • explain what the cookies are doing, and • obtain their consent to store a cookie on their device.
  • 13.
    Can browsers help? •The law provides that browser settings can be used to indicate consent, but, the view of the ICO is that current browser settings are inadequate for the task. • The hope is that browser software will provide a solution (but this would rely on 100% uptake of any new releases). • Microsoft's Internet Explorer 9 browser already offers a setting to protect users from potentially intrusive cookies. • Firefox and Google's Chrome could soon follow suit as they attempt to integrate 'Do Not Track' technologies. • Safari, the default web browser on the Apple iPad and iPhone, blocks third-party cookies by default. • DCMS are continuing to talk with the browser manufacturers and we hope to hear more from this in the near future.
  • 14.
    Guidance … from the legal and the regulatory perspective The ICO’s perspective • On 13 Dec 2011 the ICO issued his half-term report on how things are going. His verdict, he wrote, "can be summed up by the schoolteacher's favourite clichés: 'could do better' and 'must try harder'. A report that listed the URLs of sites that were perfectly compliant from day one would be very short indeed. This is not a surprise to anyone who recognises that redeveloping and redesigning is no easy task.“
  • 15.
    The ICO’s coreadvice remains the same: “It is not enough simply to continue to comply with the 2003 requirement to tell users about cookies and allow them to opt out. The law has changed and whatever solution an organisation implements has to do more than comply with the previous requirements in this area.” 1. Check what type of cookies and similar technologies you use and how you use them. 2. Assess how intrusive your use of cookies is. 3. Decide what solution to obtain consent will be best in your circumstances.
  • 16.
    Take some comfort… • “The guidance we’ve issued today builds on the advice we’ve already set out, and now includes specific practical examples of what compliance might look like. We’re half way through the lead-in to formal enforcement of the rules. But, come 26 May next year, when our 12 month grace period ends, there will not be a wave of knee-jerk formal enforcement actions taken against those who are not yet compliant but are trying to get there.”
  • 17.
    Some recurring questions •Websites with a global audience? • Legal responsibility vs brand impact? • Who goes first (or last)? – Will big brands wait until 26th May to make their website changes live or will they step out bravely earlier than this? • The do nothing brigade? – Are those who have decided to do nothing playing a dangerous (or a clever) game? • Consumer awareness? – As awareness and understanding increase will website users who come across non compliant sites be more likely to complain? Page 17
  • 18.
    Some emerging approaches •IAB • ICC • Non-trade association approaches: – Evidon – CookieQ Page 18
  • 19.
    How ready isUK plc for May 26th? • Google awareness campaign – Good to know • Google • Redbridge Media • BBC • DCMS Page 19
  • 23.
    What impact willall this have? The (free) internet relies on cookies … • A large number of services may only be offered – free of charge – because their providers finance them by means of advertising and behavioural targeting has proved to be the most efficient method of advertising on the Internet. • In other words, many services that are available on the Internet could not be offered at all or at least not free of charge, if they were not financed by advertising.
  • 24.
    What impact willall this have? • Conservative estimates are that over 92% of websites in the EU use cookies at the moment • They’ll either have to stop using cookies, or start gaining consent • And the burning issue is … how to gain consent • A business coalition has created a website to illustrate how the Dutch transposition of the European E-Privacy Directive would impact the web surfing experience …
  • 26.
    What impact willall this have? • There are other sites that demonstrate the potential impact in a humorous way including David Naylor’s site …
  • 30.
    What impact willall this have? • And no matter what choice you make the impact could be significant …
  • 31.
  • 32.
    Some final, practicaladvice • If you haven't already started to look at the issue, do so today • Inform and educate internally • Ensure the issue is understood by senior stakeholders • Allocate budget and resource • Set up a cross functional task force to manage the process through to completion • Ensure customer facing staff know what to say if customers ask what your organisation is doing to comply • Make easy and immediate changes e.g. add to your existing cookie policies to tell your customers that you are getting ready Page 32
  • 33.
    Some final practicalexperience • Identify all your websites • Audit your websites 1. Check what type of cookies and similar technologies you use and how you use them. 2. Assess how intrusive your use of cookies is. 3. Decide what solution to obtain consent will be best in your circumstances. • Implement and test your solution • Provide clear and understandable descriptions of cookies (in same or similar language to others?) Page 33
  • 34.
    And finally • Remember that this is not just about being compliant for 26 May 2012: – Set up policies and procedures to manage the issue going forward • Ensure the issue is understood by senior stakeholders Page 34
  • 35.
    Thank you. Page 35
  • 36.
    Has data compliancekilled the telemarketing channel? Mark Walton Chief Executive Officer, Aquira
  • 37.
  • 38.
    Will Data the Legislation kill Telemarketing channel ?
  • 39.
    60 million records a year 20,000 new customers a month 1000 managed staff
  • 41.
    £2 billion 1.1 mpeople 500 businesses 60,000 in telemarketing
  • 42.
    124 companies 86% said ‘telemarketing important’ 68% planning MORE
  • 43.
  • 44.
    rant to Ofcom.. Source:ICO, 6 Jan 2012 September 2010 to September 2011 Source: Ofcom, CCT data 1 2
  • 45.
    EC legislation headlines Affectsstorage •It’s personal ! •Security and us all • Why, what purpose, how long? •Rightmore portability & complaint Be to access proactive •Communications – EXPLICIT OPT-IN Severe fines •Pro-active breaches – come clean!
  • 46.
    (a) the purposesof the processing; (b) the categories of personal data concerned; (c) the recipients or categories of recipients to whom the personal data have been disclosed, in particular the recipients in third countries; (d) the period for which the personal data will be stored; (e) the existence of the right to request from the controller rectification, erasure or restriction of processing of personal data concerning the data subject; (right of access) (f) the right to lodge a complaint to the supervisory authority and the contact details of the supervisory authority; (g) communication of the personal data undergoing processing and of any available information as to their source.
  • 47.
    telemarketing hits legislative brick wall? 17.2 million TPS 12 million landline 5.2 mobile Multi-channel access Sophisticated consumers messages a day
  • 48.
  • 49.
    Conversion rates &ROI Affinity Online Retail Telemarketing
  • 50.
    Standard Standard Enhanced Enhanced LEAD GENERATION Bound by figures Data DMC Rate Data 30.00% Data 50.00% Calls Per Hour 22 10 DMC’s Per Hour 6 5 Productive Hours Per Day 6.5 6.5 DMC Conversion Rate 1% 12.50% Sales Per Agent Day 0.43 4 Data Penetration Rate 50% 80% Driven by data Data Required Per Day Cost Per Lead 286 £0.10 82 £1.50 Data CPA £66.67 £30.28
  • 51.
  • 52.
    Emerging telco negative press Ofcom penalties ? 97 complaints
  • 53.
    getting it right 3 million records per month 20 million records hosted Dialler ready data Sales coaching Performance and MI reporting
  • 54.
    getting it right results • Successful performance model developed • 10,000 additional customers every month • Cost per sale down by 16% (lowest ever ) • Sales up 30% on year • Annual data usage reduced by 150% • ROI has saved over £1million per year • Reduced non compliant data usage to zero • Mitigated bad publicity and avoided Ofcom penalties
  • 55.
    Data Legislation will notkill the Telemarketing channel
  • 56.
    Mark Walton, C.E.O. www.aquira.co.uk0843 289 0500 Thank you.
  • 57.
  • 58.
    Best practice andlegal issues of social media Stephen Groom Head of Marketing and Privacy Law, Osborne Clarke
  • 59.
    Best Practice andLegal Issues of Social Media Stephen Groom Head of Marketing and Privacy Law Osborne Clarke London 1 March 2012
  • 60.
    osborneclarke.com Coming up • Somebasics • Top ten social media cases: you are the judge • Key lessons 60
  • 61.
    osborneclarke.com Some basics: CAPCode • ASA-enforced "CAP" UK Code of Non-broadcast Advertising, Sales Promotion and Direct Marketing ("CAP CODE") applies to any marketing activity in social media provided it is: – under the advertiser's control and – directly connected with the supply or transfer of goods, services, opportunities and gifts or – directly soliciting fund-raising donations • Penalties: – full case report published – removal of paid-for search linking to relevant page – ASA paid-for ads on search engines, highlighting advertiser's non compliance – microsite for non-compliant online advertisers 61
  • 62.
  • 63.
    osborneclarke.com Some basics: unfairtrading laws • Consumer Protection from Unfair Trading Regulations 2008 ("CPRs") • apply to the following in any media channel – any act, omission, course of conduct, representation or commercial communication (including advertising and marketing) by a trader which is directly connected with the promotion, sale or supply of a product to or from consumers • Penalties: – For businesses and consenting, conniving or negligent directors, managers, secretaries or a person purporting to act in that capacity – fines up to £5000 and up to 2 years in prison – Injunctions under Enterprise Act 2002 – Public undertakings 63
  • 64.
    osborneclarke.com Some basic rulesto follow • Make it clear that an ad is an ad (and not someone's post) – see "always unfair" commercial practices #11 & #22 in Consumer Protection from Unfair Trading Regs 2008 Schedule 1 – See also 2.4 and 3.45 CAP Code-identify advertorials and testimonials must be genuine • CAP Code basic rules: legal, decent, honest, truthful • User-generated content – must comply with CAP Code if adopted, highlighted etc by advertiser – re-tweeting could trigger CAP Code testimonial rules • Data protection: collecting personal data from/contacting individuals on social media? Comply with DPA/PECRegs 64
  • 65.
    osborneclarke.com Social media- marketingon Twitter • See Twitter's own rules: – Promoted Products Policy, UK Guidelines and Guidelines for Contests on Twitter e.g. • get permission to use another's Tweets • promo rules should disqualify entrants using multiple accounts to enter • discourage repeated retweets • Promoted Products targeted to the UK that directly promote unlicensed gambling services not allowed • NB Celebrity Tweet issues-watch out for the Office of Fair Trading 65
  • 66.
    osborneclarke.com Social media-marketing onFacebook • See Facebook's own rules: – Promotions Guidelines, Advertising Guidelines and Platform Policies – Promotions must for example: • state that promo is in no way sponsored, endorsed, administered or associated with Facebook • not condition entry on user taking any action using any Facebook features or functionality other than liking a page • not use Facebook features or functionality as an entry mechanism eg act of liking a page • NB Sponsored stories- CAP Code rules re: eg alcohol 66
  • 67.
    osborneclarke.com Top ten cases#1 OFT vs Handpicked Media Feb 2011 • Handpicked Media ("HPM") operates a commercial blogging network • As part of its client services, it engages bloggers to provide editorial coverage of topics eg fashion, music • Blogs include favourable references to HPM clients • Appear on various sites including Twitter • No mention of commercial connection between blogger and brands • OFT investigates.. 67
  • 68.
    osborneclarke.com Top ten cases#2 Nestlé and Greenpeace March 2010 • Greenpeace accuses supplier of palm oil to sweet brands of illegal deforestation • Kraft/Unilever suspend contracts, Nestlé: we will investigate first • Greenpeace posts a video criticising Nestlé • Nestlé takes legal action to get video taken down • Greenpeace calls for mass retaliation • Nestlé's Facebook page fills up with complaints and user profile pics carry altered Nestlé logos • Nestlé tells users it may delete altered logos from profiles 68
  • 69.
    osborneclarke.com Top ten cases#3 Preece v JD Wetherspoon PLC May 2012 • Wetherspoon employee handbook reserves right to take disciplinary action if … • any employee blog "including pages on sites such as Facebook ..is found to lower the reputation of the organisation, staff or customers" • Pub manager Miss Preece posts negative comments on Facebook about verbal abuse and physical threats she suffered at hands of two named customers • Miss Preece thought only 40-50 of her closest friends would see these. She actually had over 600 contacts • Preece is sacked for gross misconduct and appeals 69
  • 70.
    osborneclarke.com Top ten cases#4 Snickers/ Rio Ferdinand et al Jan 2012 • Rio Ferdinand, Katie Price & ors start posting odd Tweets ending with their photo with a Snickers bar • Last Tweets link to an @snickersUKhungry#spon account set up by Mars • Unclear whether the personalities are paid by Mars • Two complaints to the ASA • The ASA is investigating 70
  • 71.
    osborneclarke.com Top ten cases#5 Ebuyer and the ASA December 2011 • Website for online electrical goods retailer Ebuyer.com • "Foehn & Hirsch Portable WiFi Internet Radio (black)" and showed four and a half stars • Further text states "17 reviews", all favourable • Complainant's negative review does not feature and he complains to the ASA • Ebuyer to ASA: "current filters are pre-set to show those ratings which are most useful and these will be more positive than negative" 71
  • 72.
    osborneclarke.com Top ten cases#6 Hays Recruitment vs Ions June 2008 • Middle ranking Hays consultant Mark Ions… • uses his LinkedIn network to approach clients for his own rival agency "Exclusive Human Resources" ("EHR") • EHR set up 3 weeks before Ions resigns from Hays • Hays apply to court for an order that Ions hands over his LinkedIn business contacts • AND all emails sent to or received by his LinkedIn account from Hays computer network • AND all documents showing any use by Ions of the LinkedIn contacts and any business obtained from them 72
  • 73.
    osborneclarke.com Top ten cases#7 Mercedes Benz "Win a Vito" promo Jan 2012 • Entrants to submit creative content showing why they should win • Judging panel draws up shortlist of 10 for public vote • Ts and cs: right to alter, amend or foreclose at any time • During voting, a contestant complained that 2 other entrants had posted their entries on forum sites using public voting systems • After initially saying this was OK, Mercedes Benz ("MB") discovers that the 2 entrants had been offering to pay for votes 73
  • 74.
    osborneclarke.com Mercedes Benz "Wina Vito" promotion #2 • MB suspends voting period, disqualifies 2 entrants and…. • amends ts and cs to • reserve right to disqualify any finalists if it has reason to believe anyone voting for their submission has been paid or incentivised in any way, either by a finalist or a third party • MB restarts voting • MB discovers that the original complainant is using websites allowing her to exchange votes with other contest entrants • MB disqualifies complainant • Complainant complains to the ASA that late change to the rules unfairly led to her disqualification and that the contest had not been conducted fairly 74
  • 75.
    osborneclarke.com Top ten cases#8 Coastal Contacts, Inc (US) November 2012 • Coastal Contacts ("CC") Facebook page: • "Like this page! So you can get your free pair of glasses" • Competitor 1-800-Contacts complains to the National Advertising Division ("NAD") that CC had been misleading and fraudulent by… • omitting to mention offer conditions such as the need to pay cost of shipping and handling until after "like" clicked and …… • mentioning the number of "likes" received from all its Facebook pages globally in later press releases given to investors 75
  • 76.
    osborneclarke.com Top ten cases#9 PhonepayPlus and Captive Interactive Feb 2012 • Captive Interactive operates "Miss Teen Queen UK", an online beauty pageant .. • and encourages contestants to post promotional material on Facebook urging friends to send texts supporting their entry • The number to text is a premium rate service number • One contestant does this and as a result two sisters aged 11 and 12 spend a collective £2548 texting their support for that candidate • PhonepayPlus investigates 76
  • 77.
    osborneclarke.com Top ten cases# 10 TripAdvisor and the ASA February 2012 • The TripAdvisor website states • "read reviews from real travellers…offers trusted advice…more than 50 million honest travel reviews • on review pages is TripAdvisor logo and "Reviews you can trust" • KwikChex Ltd complains to the ASA that the above is misleading as TripAdvisor does not verify reviews and cannot not prove they are genuine • TripAdviser: no review site can guarantee it is 100% fraud free. Not practical to manually screen all reviews pre post. All reviewers have to click to confirm that their review is honest and genuine 77
  • 78.
    osborneclarke.com Sum-up • Reviews, likes& other user-generated content: use and present with care and remember copyright/moral right! • Employees, social media and brands -accidents waiting to happen so review your employee social media policies. • Data protection -so far the platforms, not marketers have occupied data privacy headlines, but don't be the first to change this and watch out for the new DP Regulation. • Paid-for endorsements? Read the IBA/ISBA Guidelines. 78
  • 79.
    osborneclarke.com Any questions? [insert photo here] Height = 5.39cm Width = 5.81cm Stephen Groom Head of Marketing & Privacy Law T +44 (0) 207 105 7078 M +44 (0) 207 105 7078 stephen.groom@osborneclarke.com www.marketinglaw.co.uk 79
  • 80.
    Best Practice andLegal Issues of Social Media Stephen Groom Head of Marketing and Privacy Law Osborne Clarke London 1 March 2012
  • 81.
  • 82.
    Multi-channel permission management Daniel Cross Directorof Strategy, Lateral Group Chris Parkinson Group Compliance Director, Lateral Group
  • 83.
    Multi Channel Opt-inand Permission Marketing
  • 84.
    Today’s Agenda • Introducing Lateral Group • The regulatory challenge • Case study and approaches • Q&A time
  • 85.
  • 86.
    Lateral Group OurVision & Mission • We help our clients gain greater insights into their customers and prospects, supporting them to profitably sell more products and services by developing and enhancing relationships through the creation and delivery of integrated communications across all channels. • We will continually demonstrate the successes that we deliver our clients through the clear measurement of ROI, driving on-going effectiveness and efficiency.
  • 87.
  • 88.
  • 89.
  • 90.
  • 91.
    Legislation • Data ProtectionAct • Privacy and Electronic Communications Regulation
  • 92.
    DPA Requirements • Haveyou gained the correct permission? • Did you explain what you are going to use data for • Fair processing notices, Privacy policies • Did you gain consent? • Freely given, full informed, specific to the circumstances, and with a positive indication of the Data Subject wishes • Remember it can be withdrawn! • You are not using the data for something else – are you? • You can only use data for the purpose or purposes specified at the point of collection
  • 93.
    Legislation • Privacy andElectronic Communications Regulation • Is it a service message or marketing message • Can you send a service message? • Can you send a marketing message? • Is it B2C or B2B? • Different rules for each • What sort, if any, opt-in do you have or need? • Can you prove it?
  • 94.
    Email Marketing • ComplianceRequirements • From PECR and DPA • Service message • Opt in not required, but you must have permission • or marketing message • Opt in is required for consumers • Not for business • But different in different countries • What is Opt-in or soft opt in
  • 95.
    European Email optin rules Country Consumer Business Austria Yes No Denmark Yes Yes France Yes No Germany Yes Yes UK Yes No
  • 96.
    Email Opt In •Soft Opt In • If in the process of making a purchase a consumer supplies their email address • They consent to receive marketing email “for the time being” • On similar products and services • As long as unsubscribe was offered at the time and in every subsequent communication
  • 97.
    Email Marketing • GatheringConsumer Consent • Cannot provide pre ticked opt in boxes • See example • Must opt in to having their email address passed to third parties • Each email communication must contain an unsubscribe mechanism
  • 99.
    Privacy and Consent •When collecting consent • Store the paragraph that the user signed up to against record in database • Give user as much choice as possible to get best response • Allow for service messages in web privacy • Do not be too restrictive with definitions of usage • You cannot easily change it later! • Understand email requirements from PECR
  • 100.
  • 101.
    Increasing Email Permissions •The drive to integrate online channels to reduce costs and develop relationships often highlights issues with customer permissions. • Often these arise through changes in permission processes, legacy systems or new data acquisition. • …there are a number of strategies available for marketers to ensure that their permission data is optimised in a multi-channel environment.
  • 102.
    Email Permission Strategies No Email Email Permission No Permission
  • 103.
    Engage: Opt InPermissions Capture • Result: 31% increase in opted-in contacts
  • 104.
  • 105.
    Consumer targeting through theages Mark Patron Chief Executive Officer, RedEye
  • 106.
    DMA data conference Multi-channel marketing analysing multi-channel online data is like trying to drink from a fire hydrant Mark Patron 1st March 2012 10 6
  • 107.
    Agenda • Data Protection legislation • How consumer data has developed • Behavioural data - email example • Multi-channel media attribution 10 7
  • 108.
    Data Protection legislation •European Data Protection legislation is good for the advertising industry. Protects it from itself. • Just compare with US self-regulation where three quarters of Americans signed up to “do not call” list. • Consumers in the US feel they have lost control of their personal data. In Europe consumers have recourse through Data Protection legislation. • The balance between consumers’ right to privacy and marketers’ wish to target is a fine and sometimes fraught one. • This balance changes over time, for example Tesco Clubcard, 1 - 2% discount in exchange for personal data. 10 8
  • 109.
    New EU DataProtection Directive New right to be forgotten Good idea. Consumers wound up if no one remembers. Auditing? Limits on profiling of In employment law for a fair individuals selection or redundancy process use a scorecard! Data protection registration Really for mainframes! requirements and costs Can legislation keep up?... abolished 10 9
  • 110.
    Facebook and privacy •“Every year people are sharing twice as much information as the previous year” Facebook CEO, Mark Zuckerberg • Facebook is a case study in how respecting and protecting privacy is fundamental to trusting a brand • Facebook, similar to many data driven businesses, has an inherent conflict - it makes more money by being more open with peoples’ personal data • The next generation are growing up online and are not passive recipients of information anymore, they share… • But employers are discriminating against candidates because of something they shared on Facebook 11 0
  • 111.
    Google and privacy Content tracking Google new privacy policy: identify users across all its services and integrate data across all its services Digital photographs when & where taken Could locate individuals in any + face recognition digital photograph on internet & derive where user has been, with whom and doing what Add YouTube and Android smartphones “implications are breathtaking” Source: FT 16/2/12 11 1
  • 112.
    Different types ofconsumer data Transactional/RFM What? Customer Behavioural Where? Demographic Lifestyle How? Credit Attitudinal Market research Why? 11 2
  • 113.
    How consumer datahas developed Date Type of data Source Recency 1st/3rd Revenue/ party user/yr ‘80’s Customer d’base Customer < 1 day 1st £50 transactions Geodemographics Census < 10 years Anon. £0.05 ‘90’s Lifestyle Lifestyle surveys < 6 months 3rd £2 ‘00’s Transactional Co-op databases < 1 month 3rd £0.5 Search Google Real time 1st £15 Behavioural Web analytics and Real time 1st £50 email database ‘10’s Social media User generated Real time 1st/3rd £3 shared content 11 3
  • 114.
    How do yousegment your customers? Source: Econsultancy/RedEye Conversion Rate Optimization Report 2011 11 4
  • 115.
    What do youuse segmentation for? Source: Econsultancy/RedEye Conversion Rate Optimization Report 2011 11 5
  • 116.
    Relevance is key 46%of respondents said that irrelevancy is the main reason for unsubscribing from company’s email newsletters… Frequency of emails is another reason with 23% of email users listing it as a reason to unsubscribe. 11 6
  • 117.
    How to makeemails more relevant 11 7
  • 118.
    How it isdone 11 8
  • 119.
    Evans Cycles casestudy Evans Cycles implemented a highly segmented, customer lifecycle email marketing strategy. • 103% increase in year on year revenue • 2399% ROI • 84.9% open rate • 40.5% click through rate 2399% ROI 11 9
  • 120.
    Online data variesconsiderably in quality Ov e r Re porting of Visitor Figure s ov e r 28 day pe riod on xxx.com 700% 600% 500% 400% 300% 200% 100% 0% 1 3 5 7 9 11 13 15 17 19 21 23 25 27 IP Based Cookie Based Method Good Limitations IP Cheap and easy Inaccurate garbage-in garbage-out Cookie Cheap and easy, Cookie deletion and More accurate blocking Log in More accurate for More expensive registered visitors, What to do about non Better for targeting registered users? Cookie & log in Much more accurate More expensive More difficult More commitment needed Source: RedEye 12 0
  • 121.
    Greatest challenges facingweb analytics? Web Analytics Association (2011) Outlook Survey 12 1
  • 122.
    A typical customerjourney Origination Assists Last click 12 2
  • 123.
    Media attribution -last click wins • Default model since post click tracking began online in the mid nineties and adopted as standard by Google AdWords, DoubleClick and web analytics vendors • Aggregators like MoneySupermarket have used a model that allows them to own the prospect for up to 60 days • Online data shows the full interaction a customer has with the brand across all channels • Enables you to see the time between visits, the influence a channel has on each sale • But it’s a lot of data to crunch… 12 3
  • 124.
    What the datalooks like 12 4
  • 125.
    Monarch Airlines casestudy • On average 60% of sales have some form of assist • Half of all sales with an assist complete on a different channel from the assist • In some cases you can attribute up to 60% more of your sales to tracked media rather than ‘unknown’ or ‘direct to site’ • Media attribution analysis led to streamlining online marketing activity: • Migrating from PPC to SEO for destination terms • Paid destination terms expensive & not converting OR supporting SEO terms • Increased investment in comparison site activity… 12 5
  • 126.
    Assist Correlation Nodes– January 08 3.5% Email Natural Search All Sales All Sales 2.5% no assists 8.5% 48% self assist 18% no assists 45% self assists 2% 14.5% 4% 9% 3.5% 10% 17% 3% Paid Search Comparison All Sales 17% no assists 4% Sites Comparison sites All Sale’s 42% self assists 29% no assists 29% no assists 30% self assists Lower crossover to over 8.5% channels Increase investment 12 6
  • 127.
    Assist Correlation Nodes– January 08 Drill into search 16% Paid Search - Natural Search Brand - Brand 12.5% All Sales All Sales 17% no assists 16% no assists 42% self assist 41% self assists 4% 4% 0% Non brand / Destination 4.5% 9% 0% 0% 4.5% terms Not influencing brand 8% 25% Paid Search terms Natural 0% – Non Brand Don’t spend extra money Search – Non Brand All Sales 25% no assists on expensive paid All Sales 0% 30% no assists 0% self assists destination terms 31% self assists 12 7
  • 128.
    Example output matrix Closes sales - Spend More % last Click Sales Integrate with overall strategy Email PPC Display SEO Affiliate Starts sales process - Integrate in overall Reduce spend strategy % total contribution 12 8
  • 129.
    Conclusion • The balancebetween consumers’ right to privacy and marketers’ wish to target is a fine and sometimes fraught one • 1st party data - consumers understand and expect 3rd party data - consumers expect permissioning 1st/3rd party sharing/network effects - more thought reqd. • We are in danger of blindly giving up our future privacy in return for free apps • We need good regulation and privacy watchdogs to protect consumers (and the advertising industry from itself), but not to stifle innovation (or jobs) 12 9
  • 130.
  • 131.
    The impossible dream:How to adopt basic rules to measure your marketing Matthew Tod Chief Executive, Logan Tod & Co
  • 132.
    The Impossible Dream? Complete,accurate & cost effective Multi-Channel Measurement Matthew Tod, CEO Logan Tod & Co © 2011 Logan Tod & Co March 2, 2012
  • 133.
    Retail & ConsumerClients © 2011 Logan Tod & Co 2012 10 January 2012 133
  • 134.
    What I’m goingto talk about today • The broken measurement model and the reasons it requires an upgrade to meet the needs of Multi-Channel businesses • Why most Cookies are broken and we should celebrate their demise wholeheartedly • The measurement challenge that we now must tackle © 2011 Logan Tod & Co March 2, 2012 134
  • 135.
    The consumer purchasingjourney time for many categories extends over a considerable period Source: Google/Nielsen NetView – Beyond Last Click © 2011 Logan Tod & Co March 2, 2012 135
  • 136.
    The complexity ofthe purchase journey is much greater than is usually appreciated This is probably an underestimate due to the nature of the survey panel Source: Google/Nielsen NetView – Beyond Last Click © 2011 Logan Tod & Co March 2, 2012 136
  • 137.
    The current measurementmodel is very simplistic and is based upon an old fashioned view of the web © 2011 Logan Tod & Co March 2, 2012 137
  • 138.
    The simplistic modeldoes not match the facts that Logan Tod & Co measure for clients every day Less than half of sales come from the “1 click 1 channel” model Source: Logan Tod © 2011 Logan Tod & Co March 2, 2012 138
  • 139.
    The real SingleView is very complex when real consumer behaviour is mapped out over time © 2011 Logan Tod & Co March 2, 2012 139
  • 140.
    Cookies ‘suck’ asa tracking mechanism, so stop worrying about them so much! © 2011 Logan Tod & Co March 2, 2012 140
  • 141.
    Our tracking methodsare broken and need to adapt and develop a whole new measurement paradigm • Most tracking is binary (buy/didn't buy) and makes no allowance for the consumer journey • “Last Click” predominates • We focus on single outcomes not value created • No value in research? Too difficult? Poor knowledge? • Scorecards provide a much better perspective on campaigns • By not showing the full impact of a campaign we • Over simplify the marketing process • Hide real insight into how consumers buy • Undervalue our efforts • Misrepresent ROI © 2011 Logan Tod & Co March 2, 2012 141
  • 142.
    The numbers don’tadd up again, don’t pretend they do! You need to think about a total measurement strategy Perfection is unachievable, aim to lower uncertainty You will need to accept working with samples of data You will need to use statistical methods not counts Testing has to be built in to all marketing activity © 2012 02/03/2012 142
  • 143.
    Defining your visionfor a multi-channel data, measurement and insight strategy • What are the BIG questions you need to answer? • How should I best allocate my marketing budget? • How can I optimise each channel within a multi-channel context? • What are the real constraints to faster more profitable growth? • What is the VALUE of the answers to these questions? • Measurement costs, but you have to spend appropriately, backed by a proper business case, to justify it • The business case is built by answering questions such as: • What is the true profit you would generate from being 10%, 20% or 30% more effective at spending your marketing budget? • What would be the value of focusing your development budgets on the real constraints to growth? © 2011 Logan Tod & Co March 2, 2012 143
  • 144.
    Good questions needintegrated data sets & smarter methods to provide valuable answers © 2011 Logan Tod & Co March 2, 2012 144
  • 145.
    Good base datais essential; but currently there is a lack of focus and investment • ‘Buckets of campaign data’ held in different systems are misleading, making sensible analysis impossible • One source of ALL digital campaign data is a pre-requisite • All means all! Search (paid, natural), Affiliate, Email, Display, Comparison engines etc. recorded in one system • The single campaign data collection tools include: • Full data collector tools: Celebrus, Magiq • Tag management tools: Tagman, Tealium, Site Tagger • Web analytics tools: Adobe Omniture, Coremetrics, Google Analytics, Webtrends • Tools are not enough, process is needed to make it work © 2011 Logan Tod & Co March 2, 2012 145
  • 146.
    Single View cannotbe achieved, so do simple things quickly, earn a return, evolve and improve • Connected ‘Islands of Excellence’ NOT a ‘Single View of the customer ’ is the best option currently • White Elephant ‘Single view of customer’ IT driven projects are too slow, too expensive and will not yield a single view • Build Island of Excellence first • Campaign data: Single collection point for all campaigns • Product data: Price, relative price, review score, availability • Customer data: Transactions, engagement, comment • Customer experience: Measure the experience across platforms • Use Cloud based tools, like Quantivo, to speed up production of each island and then connecting islands together © 2011 Logan Tod & Co March 2, 2012 146
  • 147.
    Tools like Quantivoare game-changers for multi- channel data analysis & insight Answer real-world questions to help Answer real-world questions to help you drive impressions, visits, you drive impressions, visits, conversions, or any other behavior. conversions, or any other behavior. 1 This online media provider This online media provider discovered that Xbox channel discovered that Xbox channel content was bringing first-time content was bringing first-time visitors referred from Google back visitors referred from Google back for repeat visits... for repeat visits... 2 ...and that those ...and that those return visitors were 4x return visitors were 4x ...and that sessions which featured ...and that sessions which featured more likely to be more likely to be visits to music game content more visits to music game content more attracted to music attracted to music games... 3 than doubled the average page views than doubled the average page views games... for that session, from 22 to over 45! for that session, from 22 to over 45! © 2011 Logan Tod & Co March 2, 2012 147
  • 148.
    Statistical techniques arenow a prerequisite to understanding consumer behaviour properly © 2011 Logan Tod & Co March 2, 2012 148
  • 149.
    People & Skills A new breed of Marketing Data Scientists is needed who can use statistics and plan/execute the tests needed to deliver answers © 2011 Logan Tod & Co March 2, 2012 149
  • 150.
    To summarise • Thecurrent industry measurement model needs to be retired • It is naive and does not reflect consumer reality • It is broken because it relies so heavily on the discredited cookie • It cannot provide the answers to proper business questiosn • It undervalues the impact of may activities • Get a measurement strategy before everything else • Smart data collecting with a simple scalable approach enables smart people to deliver competitive advantage • So what is your plan? © 2011 Logan Tod & Co March 2, 2012 150
  • 151.
    Questions, suggestions and feedbackplease! matthew.tod@logantod.com matthew.tod@logantod.com © 2011 Logan Tod & Co March 2, 2012
  • 152.
    Beyond the like:Measuring value and effectiveness on social media engagement Roger Warner Managing Director, Content & Motion
  • 153.
  • 154.
    Making sense ofconsumer data in the digital world Jonathan Burston Sales Director, CACI
  • 155.
    Making Sense ofConsumer Data in the Digital World Jonathan Burston Sales Director, Integrated Marketing Group
  • 156.
    A few yearsago there was ‘The Line’… Long lunches, beautiful ads, sexy models, big budgets… Sales? ROI? The econometric model says we need more TV… “We’re brand builders, darling.” Targeted comms, just smaller budgets (& lunches)… Response Rates may be low but it’s profitable… “We use data-driven insight & analysis”.
  • 157.
    …consumers interacted directlywith brands “ I buy in shop, direct or through an intermediary I’ll ask friends or read reviews in magazines I watch TV, read the paper, have a mobile Identity theft is losing my wallet My bank, the Government & data companies know me Brands or data companies survey me I can opt out or ignore comms ”
  • 158.
    The information agehas transformed this… Explosion of channels Google, Facebook, Apple etc. are the new data giants Technology, software, social change? We’re all fuelling this data explosion More data for marketeers then ever before…
  • 159.
    …consumers don’t justengage directly with a brand 800m Facebook users/ 100 million Twitter users ½ of all mobiles to be smartphones by 2015 Over 250m Tweets a day Over 18bn App downloads via iTunes Twitter has over 15bn API calls per day
  • 160.
    Now we havewhat we’ve always craved: Contextual Data Likes, dislikes, real-time location, preferences, interest… Consumers openly supply data to brands & friends Brand interaction can be tracked Active Word of Mouth can be measured Brand Engagement Consumer influence can be gauged Tracking technology continually getting smarter
  • 161.
    Digital trails arelong and complex… Network Network Comment Comment Engagement Engagement Location Location Sentiment Sentiment Referral Referral Personal Personal Interest Interest IP Address IP Address Affiliation Affiliation Purchase Purchase Click-Stream Click-Stream Cookie Cookie Age Age Preferences Preferences Open Rates Open Rates Time/Date Time/Date Income Income Click-Thrus Click-Thrus Screen Screen Geo-dems Geo-dems Likes Likes Trigger Trigger Behaviour Behaviour
  • 162.
    …customer records arebecoming more complex & diverse Personal Data Personal Data Personal Data Personal Data Demographic & Lifestyle Demographic & Lifestyle Demographic & Lifestyle Demographic & Lifestyle Transactional Information Transactional Information Transactional Information Transactional Information Comms Data Comms Data Comms Data Comms Data Behavioural (Web & Comms) Behavioural (Web & Comms) Predictive (Web & Comms) Predictive (Web & Comms) UGI & CVI UGI & CVI Social Media Engagement Social Media Engagement Sentiment Sentiment
  • 163.
    A Consumer DigitalData Model Web Brand ESP P Cookies Social WEBSTE Media Beacons WEBSITE P A A WEB ANALYTICS Flash Cookies IDENTIFIABLE CONSUMER CONSUMER 3RD PARTY 3rd PARTY ANONYMOUS CONSUMERS VOLUNTEERED DERIVED VOLUNTEERED DERIVED CONSUMERS Personal data provided to an Data derived about consumers Data acquired on consumers Data collected & aggregated organisation directly by or customers based on via 3rd party Social Media sites on anonymous consumers consumers or customers observed behaviour (and intermediaries) based on observed behaviour • Contact Details • Contact Details • IP Address • IP Address • Personal details • Personal details • Web behaviour • Web behaviour • Preferences • Preferences • Cookie data • Cookie data • Network Size • Network Size • Click-stream data • Click-stream data • Purchases • Purchases • Browsing history • Browsing history • Location • Location • Location/ IP Address • Location/ IP Address • Location • Location • Screen Resolution • Screen Resolution • Brand affiliation • Brand affiliation • Shopping Basket • Shopping Basket • Personal Data • Personal Data • Email Behaviour • Email Behaviour • Comment • Comment data data • Privacy Options • Privacy Options • Email Provider • Email Provider • Sentiment • Sentiment • Interests • Interests • Reviews • Reviews • Preferences • Preferences • Brand sentiment • Brand sentiment • Aggregated • Aggregated • Contextual data • Contextual data demographics & demographics & • Brand Engagement • Brand Engagement geo-demographics geo-demographics • Likes/ Dislikes • Likes/ Dislikes
  • 164.
    Marketing language israpidly changing… Open APIs Networks Amplification Communities Social Conversational Networks Marketing Tradigital Augmented Marketing Reality Sentiment Monitoring
  • 165.
    …consumer expectations haveincreased FROM TO 6 week reaction 0.06 second reaction Single Channel Multiple Channels One to Many One to One to Many Push Pull Data assimilation Customer dialogue Muted Loud
  • 166.
    Marketing models haveto (and are) adapting PUSH Acquisition Growth Retention PULL Engage Brands need to record, link, monitor and utilise relevant data collected from inbound, Influence outbound and intra-consumer conversations, across all relevant channels to drive better conversations and therefore have deeper customer relationships Amplify
  • 167.
    Familiar challenges stillexist Data held in organisational silos A lot is known about a few Data rich; insight poor Brand centric data, not user centric-data Organisational planning still product, not consumer focussed
  • 169.
    Have we lostour privacy? Picture: viiphoto.ning.com
  • 170.
    Where next? • Consumer digital is increasing and will only increase • Digital data market is changing rapidly – often daily • Whether social, web behaviour, email behaviour, Open ID or all – no brand is impervious & you’ll already be collecting this data • Increasingly more difficult for marketing organisations to help clients have coordinated ‘direct’ conversations with their customers • Permission management still key
  • 171.
    Jonathan Burston Sales Director,Integrated Marketing Group T: 020 7065 6137 E: jburston@caci.co.uk @jonathanburston
  • 172.
    From mad mento math men: A look at the current transformation of the marketing industry Gregory Roekens Chief Technology Officer, Wunderman
  • 173.
    Closing comments fromthe chair Terry Hunt Chief Executive Officer, Customer & Co
  • 174.
    Thank you forattending To see a list of upcoming events please visit http://www.dma.org.uk/event-listing