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Using emerging media data to drive marketing campaigns - 22 march 2011
Ron Jacobs presented on using emerging media data to drive marketing campaigns. He discussed how marketers can capture behaviors from digital and social media to identify influencers and understand consumers. Social media marketing differs from direct marketing in being more conversational and transparent. Marketers need to show accountability and effectiveness through key performance indicators aligned with business goals. Social media is generating large amounts of data that can provide insights if analyzed properly.
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Using emerging media data to drive marketing campaigns - 22 march 2011
- 1. Ron Jacobs President,Jacobs & Clevenger Co-Author, Successful Direct Marketing Methods Sponsor, Ron Jacobs & Bob Stone Multichannel Marketing Communications Certificate Program, DePaul University
- 2. Ron Jacobs [email_address]Using Emerging Media Data to Drive Marketing Campaigns A Presentation for direct mail? data? search? Email? web? DM Days 2011
- 3. Agenda How marketersare capturing and using behaviors of decision makers, influencers and buyers that digital & social media tools can produce What can be learned from Social Media data mining The role of content, curation and collaboration Understanding the social graph The importance of identifying influencers
- 4. Is Social MediaMarketing the New Direct Marketing? Or, is Social Media Marketing just stealing our soul??
- 5. So, how isSocial Media Marketing different than Direct Marketing? Multiple, individual voices that choose to engage Conversational tone Not controlled by the brand Transparent & searchable Users choose touch points Unique to the personality of prospects & customers Meets brand objectives Partial customer engagement Evaluate advocates, influentials Customers and prospects are targeted Communications & tone are controlled by the brand Single, outbound voice Across all touch points Reflects the personality of the brand Meets business objectives Full customer engagement Evaluate with analytics Direct Marketing Social Media Marketing
- 6. New thinking, anew lexicon. Not campaigns… curation Not ads… dialogues. Not awareness & interest… behavior. Reputation Sentiment Experience Collaboration Engagement Relevance Authenticity Transparency Accountability Agility Behavior Like, Friend Curation Influence Emotion Brand Consumer
- 7. Curation enables consumersto become collaborators
- 8. Media Vs ChannelsIt’s about effectiveness, not efficiency
- 9. Channels work together,but play their own roles
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- 11. Crispin Porter +Bogusky’s Social Home Page
- 12. Owned Media …A Brand Channel
- 13. Kogi BBQ… Twitterfor traffic building and CRM
- 14. Kogi BBQ… Twitterfor traffic building and CRM
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- 17. Marketers (and Agencies)need to show accountability & effectiveness, not just measurement Everything has a Key Performance Indicator (KPI), but cross-channel activity makes measurement and attribution harder Relevance How marketing adds value to the business Alignment Proof that marketing is focused on the success of the business, not the size of its budget Rigor A fact-based, disciplined approach to strategy and execution Without the above, Marketing gets The ROI Question This is Finance’s way of asking “Can Marketing be trusted to spend the company’s money wisely?”
- 18. Key Performance Indicators(KPIs) can help measure everything 1. Business contribution: Channel reach, revenue contribution (direct and indirect), Return On Investment (or ROMI), category penetration, costs and profitability. 2. Marketing outcomes: Customers, leads, sales, service contacts, conversion, retention, winback and response efficiencies. Acquisition cost, Avg. order, Avg. profit, Lifetime Value. 3. Customer satisfaction: Usability, performance/availability, recommendation behavior. Opinions, attitudes, reasons for defection, brand impact and churn. 4. Customer behavior : Profiles, customer orientation (segmentation), usability, clickstream and site actions. Bounce rates, conversions, page views, depth, page & site duration, RFM and transaction behavior. 5. Channel promotion: Attraction efficiency. Referrer efficiency, cost of acquisition and reach. CPM Vs CPC. Search engine visibility and link building. Unique visitors, frequency, e-mail marketing results. Channel integration. 6. Social media: Engagement (e.g. # of comments); involvement (e.g. time spent); bounce rate; # of reads, comments, & posts; brand affection/aversion; conversions; mention of brand name; advocacy; viral activity; referrals; recommendations; multiple moving averages; etc. 1. Business contribution 2. Marketing outcomes 3. Customer satisfaction 4. Customer behavior 5. Channel promotion 6. Social Media KPIs distill analytics data into relevant information Exclusive to each business Specific Valuable Actionable Focus on the 3 – 5 most significant metrics
- 19. Marketing Dashboards. Thevisual display of metrics. Marketing Dashboards graphically display KPI’s in main categories Brand Product Customer Channels Efficiency Organizational Development Macro-economic Environment
- 20. Social Media It’salready being used by brands to optimize marketing
- 21. Businesses are takingsocial marketing seriously The number of photos archived on Flikr.com as of June 2009 13.6 Billion The amount of content (Links, news, posts, notes, photos, etc. shared on FaceBook weekly 3.5 Billion The number of minutes spent on FaceBook daily 16 Billon If FaceBook were a country It would be the 3 rd most populated in the world, behind China & India The number of Articles on Wikipedia 16 Million
- 22. Businesses are takingsocial marketing seriously The amount of video uploaded to YouTube every minute 24 hours The amount of time it would take to view every video on YouTube 1,750 Years The number of YouTube videos viewed per day 2 Billion The average number of tweets on Twitter.com every day 65 Million
- 23. The Social Graph…Conversations are occurring around every category, brand, and the entire buying process Where are conversations taking place? What is being talked about? (e.g. Themes, categories, main topics, etc.) Is the Sentiment positive or negative? Can we identify Keywords to be used in dialogues, topics, headlines and copy? Who are the influencers driving them?
- 24. Online data beginsto unlock the riddle of prospects & customers Social monitoring merges with Web analytics Alterian, Omniture, Coremetrics/IBM, Webtrends Technology like Hadoop makes it easy for companies to tap unlimited data E.g. New York Times making its archives public Twitter archived by Library of Congress Facebook Cassandra, Amazon Dynamo, Google BigTable Dashboards and data visualization tools make it easy to understand Balancing privacy and personalization
- 25. Some examples ofsocial media data Simple data scans The number of followers on Twitter and friends on FaceBook The number of links, groups, retweets and frequency of conversation to friends/followers The number of re-tweets, FaceBook "likes", comments and the number of views that a blog post generates The themes, categories discussed in Tweets and FaceBook Personal information e.g. Usernames, Twitter or LinkedIn Bios Listening platform analytics tools e.g. Radian6, Alterian SM2 Focus on domains, authors, influencers, etc. Score each conversation Identify top domains, authors and influencers Create a data set of conversations, by author/domain for key time periods
- 26. Who is anInfluencer? @sujamthe @davepeck
- 27. Combining social/online dataand offline data is a key to micro-targeting Social Data Social Site Affiliation Interests and brand affinities Occupation Education Location Reviews Social Graph Targeting friends Extending reach Social Affinity Offline Data Income Presence of children Home Ownership Purchase Behavior Lifestyles Much more Micro-Targeting Targeted lists of people for postal and/or email programs Serve display media to only people you want Use customer insight to tailor messaging and media plan
- 28. Facebook is creatingand capturing large amounts of data Facebook has 500 million active users 50% of active users log on every day Average user creates 90 pieces of content monthly 550,000 Facebook applications 70% of users engage with apps
- 29. Google’s data miningbenefits their advertisers 79 million US Gmail Accounts Google has 145 million unique US visitors 1 billion searches daily Google data mines all search and Gmail as a resource for advertisers 96% of Googles profit is the result of ad revenue
- 30. Rapleaf, data miningthe social space Rapleaf Data Mines Who – demographics Where – footprint online What – affinities, interests With Whom – friend connections Rapleaf Process Quick Facts Data on 900+ million records 400+ million consumers 60+ billion friend connections
- 31. YOUR AD HEREYOUR AD HERE Marketers can target ads based on social data today Target: -Existing fans/followers -Friends of current fans/followers -Existing & prospective customers -Friends of prospects -Fans/followers of competitors -Custom created segments -Leverage metadata to facilitate sharing
- 32. Bringing Social MediaMarketing to life Alterian Buzz Bowl
- 33. Alterian’s Social EngagementIndex 2011 Super Bowl TV Ads www.alterian-social-media.com/
- 34. Alterian’s Social Sentiment Engagement Index 2011 Super Bowl TV Ads www.alterian-social-media.com/
- 35. How much isa tweet, a fan or a follower worth? Cost Per Social Impression Best: Groupon $0.03 Average: $0.36 per Worst: CarMax $1.94 Alterian's Cost Per Social Impression (CPSI)
- 36. Ads effect Mobileas well, which is growing faster than predicted Mobile searches related to Chrysler, a Super Bowl advertiser, were 102 times higher after the ad was televised Desktop searches for Chrysler increased only 48 times For GoDaddy.com, another Super Bowl advertiser, mobile searches for the brand were 315 times higher than usual Desktop searches were only 38 times higher There are 200 million plus YouTube mobile playbacks per day 78% of smartphone users shop on their device Apps Market… Apple leads with 82.7% share in 2010 (Forrester) Avg. cost of paid apps -- $2.43 $1.7 billion globally in 2010 $38 billion globally by 2015 Source: Google
- 37. Conclusions Social MediaMarketing is creating even more marketing data, but you must data that has value to your brand To prove marketing effectiveness, use a few KPI’s aligned with organizational goals, which have indisputable rigor Customer engagement is attributable to customer experience Relevancy is both earned and bought It’s not Push or Pull… It’s Push and Pull!!! “ If you don’t like change, you’re going to like irrelevance even less.”
- 38. Questions & AnswersQuestions?
- 39.
Editor's Notes
- #5 Users increasingly prefer different channels for different types of messages e.g. A phone app for checking airline schedules, web site for making reservations, SMS for flight delay notifications, email for upgrade and mileage status and Facebook feed for airline promotions. Each channels role in the marketing mix becomes clearer Channels have specific roles and message types Clarity allows marketers to better focus content creation on more meaningful messages; measure and evaluate success, and better communicate each channels benefits to management
- #7 For years, marketers have tried to build awareness, create perceptions, brand identities, position products, create stories, spin ideas, etc. What marketers wanted were actions that would lead to conversions from within their audiences Unless they induce behavior, communications do not result in sales Deliver relevant, compelling and timely messages to drive behavior Buyers don’t know what they want until they see it in context People focus on the relative advantage of one thing over another Communications must engage, nurture and provoke prospect & customer behavior It’s an era of co-innovation & collaboration leading to customer engagement
- #9 Users increasingly prefer different channels for different types of messages e.g. A phone app for checking airline schedules, web site for making reservations, SMS for flight delay notifications, email for upgrade and mileage status and Facebook feed for airline promotions. Each channels role in the marketing mix becomes clearer Channels have specific roles and message types Clarity allows marketers to better focus content creation on more meaningful messages; measure and evaluate success, and better communicate each channels benefits to management
- #10 Create a solar system of owned media. Owned media is a channel you control. There is fully-owned media (like your website) and partially-owned media (like Facebook fan page or Twitter account). Owned media creates brand portability. Now you can extend your brand's presence beyond your web site so that it exists in many places across the web - specifically through social media sites and unique communities. In a recession in which marketing budgets are being cut by 20%, the ability to communicate directly with consumers who want to engage with your brand through long-term relationships can be invaluable. Recognize that earned media is a result of brand behavior. "Earned media" is an old PR term that essentially meant getting your brand into free media rather than having to pay for it through advertising. However the term has evolved into the transparent and permanent word-of-mouth that is being created through social media. You need to learn how to listen and respond to both the good (positive organic) and bad (spurned) as well as consider when to try and stimulate earned media through word-of-mouth marketing. Paid media is not dead, but it is evolving into a catalyst. Many people are predicting the end of paid media (aka advertising). However, that prediction may be premature as no other type of media can guarantee the immediacy and scale that paid media can. However, paid media is shifting away from the foundation and evolving into a catalyst that is needed at key periods to drive more engagement(e.g. Q4 holidays).
- #19 1. Business contribution These are effectiveness measures comparing the performance of the online channel with other channels. Examples: • Online revenue contribution ($, %) – direct and indirect (i.e. transacted online and referred online from offline); • Online profit contribution ($, %) – Profit contribution to the company in the period; • Online sales transaction contribution (n, %) – direct and indirect (% sales online may differ considerably from % revenue or profit contribution if there is a different average order value or profitability online); • Online service transaction contribution (n, %, $) – what percentage of different types of customer service occur online. Cost savings can be calculated for these also; • Online reach % – Share of online users attracted to the site in an industry category in a week or month assessed by services such as Hitwise or Netratings. Strictly, reach should be assessed through reaching customers via third party sites; • Online market share – % of online market revenue captured in comparison with offline. This is difficult to establish in some markets, dependent on industry collaboration; • Online customer migration – % of existing customers using online services. 2. Marketing outcomes: • Sales (n, $) (If relevant); • Leads (n) (registrations of other opportunities to sell); • Cost per Acquisition (CPA) – Promotional cost of obtaining a first time sale; • Other costs – Cost of good sold and average margin. Cost of service; • Average order value (Basket size); • Lifetime value ($) for different customer groups; • Average touch frequency – for example, for e-mail marketing. 3. Customer satisfaction: • Customer satisfaction and loyalty indices; • Number of comments from site and e-mail (% favorable and unfavorable); • Brand metrics (brand favorability); • Site performance and availability; • E-mail enquiry response time and accuracy. 4. Customer behavior: • Site engagement rates (Bounce rates overall and for different pages); • Site conversion rates (Visit to Sale, Visit to opportunity and Opportunity to Sale); • E-mail conversion rates (Newsletter and campaign related); • Visits involving a page view in different categories (Product pages, Service pages, Where to Buy, Contact Us). Visits / customers can be scored according to this; • Visits to purchase/Time to purchase – indication of number of visits involved with purchase; • Number of products purchased per customer; • Transaction behavior (Recency, Frequency, Monetary value analysis for different categories and customer types). RF analysis also relevant for site visits, e-mail response and different service types; • Activity or participation levels (Percentage of customer base / registrations who are actively using online service(s)). nActivated, nActive, nDormant, nLapsed, etc.; • Loyalty or churn metrics (% of customers repeat purchasing in given time, e.g. 1 year). 5. Channel promotion: • Referrer mix from different sources (direct, search, affiliates, etc); • Share of search (main terms within market); • Cost Per Click/Cost Per Contact (Visitors) average and CPM average for online/offline ads. 6. Social Media A variety of measures that quantify some very soft measurements. This is state of the art just now.
- #24 Learn Who the key influencers are Demographics, psychographics, specifics Create a dialogue with influencers to engage them Learn What is being talked about Including themes, tags, specific words Use these words in your own conversations, copy, keywords, etc. Learn consumers Mood . Are they positive or negative. What is the trend? Sentiment is an important behavioral and economic indicator
- #26 By applying Predictive Analytics to all of this information an impressive number of applications arises such as : Analysis of your Twitter Bio and words that are contained in your Tweets. For example we can identify what do people stating in their Bio being "Computer Geeks" discuss more frequently (in terms of Electronic Brands, technology trends etc). (See more here ) Analyze thousands of Twitter accounts and find words that could make a difference in your follower count. (It appears that you should keep things positive -at least most of the time-. See why here ). Identify best practices on how to use Social Media : When to post your new blog post, which words and concepts to avoid writing about and ultimately what concepts (such as Personal Branding ) you should focus on. ( See more here ). Understand consumer behavior : What people liked, how they feel and what they would like to see in upcoming products and/or experiences. See this example on how different aspects of consumer behavior in shopping malls is "mined".
- #29 According to Facebook terms and conditions, to use apps you agree to let Facebook download personal information… Of the user and their friends!
- #30 Google data mines both in and out Gmail.
- #32 To overcome that challenge, web publishers — a label which includes most digital marketers — are increasingly encouraged to tag their content with metadata, describing it with machine-friendly RDFa or microformat vocabularies. For instance, Facebook's Open Graph Protocol leverages such metadata to facilitate sharing among friends and like-interested communities. Google Rich Snippets and Yahoo SearchMonkey leverage such structured data to improve search results for locations, people, reviews, events, and more.
- #34 Social Engagement Index (SEI) - The SEI is a proxy for a brand social reach and is calculated by weighting the raw number of conversations by the reach of its participants. The raw score is then calibrated into an index. A score of 100 is the base brand score. Anything above this indicates a greater net reach of social conversations compared to the average brand. Social Sentiment Engagement Index (SSEI) - The SSEI is a composite that combines measures of both engagement and sentiment. We calculate engagement by measuring the raw number of social conversations factored upon the reach per conversation participant. We then apply a function that accounts for the sentiment of positive and negative comments. Finally we calibrate this into an index based upon 100 point brand score. Anything above this indicates a greater net amount of positive engagements, while a score less than indicates more negative. The further away from 100 a score falls the more intense the sentiment.
- #35 Social Sentiment Engagement Index (SSEI) - The SSEI is a composite that combines measures of both engagement and sentiment. We calculate engagement by measuring the raw number of social conversations factored upon the reach per conversation participant. We then apply a function that accounts for the sentiment of positive and negative comments. Finally we calibrate this into an index based upon 100 point brand score. Anything above this indicates a greater net amount of positive engagements, while a score less than indicates more negative. The further away from 100 a score falls the more intense the sentiment.
- #36 Cost Per Social Impression (CPSM) - How much would you be willing to pay for a Tweet? or a new fan or follower? Clearly social media is in its infancy as a cross-channel media measurement tool, but already it's clear the social space is an excellent medium for measurement as it reflects and resonates brands spend in other channels. In an effort to gauge how successful the brands were at converting their Super Bowl media spend to social engagement we've taken the potential reach of the conversation, using a popularity score as a multiplier, and divided it by the media spend. In looking at a brands CPSM, the closer to $0.00 the better.