Digital Trends London, January 2009 www.ianjindal.com www.internetretailing.net

Digital Trends

London, January 2009

www.ianjindal.com

www.internetretailing.net

Digital Trends London, January 2009 www.ianjindal.com www.internetretailing.net

Digital Trends

London, January 2009

www.ianjindal.com

www.internetretailing.net

Digital Trends Context Retail and Christmas Social Data

Digital Trends

Context

Retail and Christmas

Social

Data

1. Context

1. Context

2. Christmas

£4.7bn online over Christmas: 14% YOY November - highest YOY of 26% Growth is slowing in ecommerce but still above offline eCommerce - 16% for H2 (IMRG) Offline - 0% for H2 (source: ONS) Christmas Day: 3.8m (14% down), but sales 21% higher at £102m. Customers bargain-hunting Pre-Christmas sales and January started immediately after last posting date! Boxing day busiest of year (down 5% YOY) John Lewis Christmas day traffic - twelve times higher than 2007 PC World, Currys, Dixons - 30-40% increase (mainly large TVs) 2. Christmas

£4.7bn online over Christmas: 14% YOY

November - highest YOY of 26%

Growth is slowing in ecommerce but still above offline

eCommerce - 16% for H2 (IMRG)

Offline - 0% for H2 (source: ONS)

Christmas Day: 3.8m (14% down), but sales 21% higher at £102m.

Customers bargain-hunting

Pre-Christmas sales and January started immediately after last posting date!

Boxing day busiest of year (down 5% YOY)

John Lewis Christmas day traffic - twelve times higher than 2007

PC World, Currys, Dixons - 30-40% increase (mainly large TVs)

Product. Price. Promise 2. Christmas 118%

Product. Price. Promise

3. Social

Reviews becoming standard User “stories”, not just ratings 78%: “customer recommendations are the most credible form of advertising” (Nielsen) 3. Social

Reviews becoming standard

User “stories”, not just ratings

78%: “customer recommendations are the most credible form of advertising” (Nielsen)

Top style-setters become “Mavens” Based on page views AND product clicks Customers become sales-people Social networks become retailers 3. Social Reviews becoming standardUser “stories”, not just ratings78%: “customer recommendations are the most credible form of advertising” (Nielsen)

Top style-setters become “Mavens”

Based on page views AND product clicks

Customers become sales-people

Social networks become retailers

Reviews becoming standardUser “stories”, not just ratings78%: “customer recommendations are the most credible form of advertising” (Nielsen)

Configure all panels, materials, colour Preview your custom shoe nikeid.nike.com 3. Social

Configure all panels, materials, colour

Preview your custom shoe

nikeid.nike.com

Configured option Buy “your” show Feedback to Nike on trends, colours May put into production 3. Social

Configured option

Buy “your” show

Feedback to Nike on trends, colours

May put into production

4. Data Data evolution accurate enriched meta actionable mashed semantic autonomous & predictive

Data evolution

accurate

enriched

meta

actionable

mashed

semantic

autonomous & predictive

4. Data Data evolution accurate enriched meta actionable mashed semantic autonomous & predictive

Data evolution

accurate

enriched

meta

actionable

mashed

semantic

autonomous & predictive

4. Data Metadata Segmentation and metadata for increased relevance.“Behaviour” is useful metadata - if you can capture it - ‘ignore ratio’?Capture offline as well as online - warranties...

Metadata

Segmentation and metadata for increased relevance.“Behaviour” is useful metadata - if you can capture it - ‘ignore ratio’?Capture offline as well as online - warranties...

4. Data Metadata New services Links to commerce

Metadata

New services

Links to commerce

4. Data “ Doing” not “viewing” Making Social Networks “transactional”You can “do”, not just “view”From web to desktopWeb to web

“ Doing” not “viewing”

Making Social Networks “transactional”You can “do”, not just “view”From web to desktopWeb to web

4. Data “ Doing” not “viewing” Making Social Networks “transactional”You can “do”, not just “view”From web to desktopWeb to web

“ Doing” not “viewing”

Making Social Networks “transactional”You can “do”, not just “view”From web to desktopWeb to web

4. Data Google - hCard format added to Search results.One click to add the result to your address book.Could do the same with calendar items, or recommentations

Google - hCard format added to Search results.One click to add the result to your address book.Could do the same with calendar items, or recommentations

4. Data: personal and placeful and propagated

4. Data More is More - the network effect Network ‘knows’ more than any individual component or contributor ‘ ambush’ marketing?

More is More - the network effect

Network ‘knows’ more than any individual component or contributor

‘ ambush’ marketing?

4. Data Attention Profiling Markup Language - www.apml.org Beyond ‘personal’: interchange and exchange value of behaviour

Attention Profiling Markup Language - www.apml.org

Beyond ‘personal’: interchange and exchange value of behaviour

4. Data Show us some APML!!

4. Data Location, location, location (and mobile)

4. Data: epiphenomena and ESP

4. Data Number of freely connected nodes where exchange cost is near zero Business analysis Services Mashups Predictive Responsive and self-configuring ESP? Hyperdata Epidata Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

4. Data Number of freely connected nodes where exchange cost is near zero Business analysis Services Mashups Predictive Responsive and self-configuring ESP? Business Web Social Web 1 Social Web 2 Networked Web Hyperdata Epidata Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

So?

Customers - cynical, savvy, disloyal, discriminating, demanding Market - slowing, saturated, competitive Insights - partial, expensive, temporary CRM, VRM - just the start. Rounded behaviour generated rounded, multivariate, multi-co-ordinated, oddly-permissioned data So?

Customers - cynical, savvy, disloyal, discriminating, demanding

Market - slowing, saturated, competitive

Insights - partial, expensive, temporary

CRM, VRM - just the start. Rounded behaviour generated rounded, multivariate, multi-co-ordinated, oddly-permissioned data

Proposition - value, clear, consistent - must “ring true” Use don’t own - build on ‘free’ Invest in data - create, collect, exchange, borrow, give, sell, rent... combine Time and place - every time, every place, everywhere: selling and serving by mobile in time and place Look and learn - success is temporary: learn and respond to customers rather than ‘telling them’ to comply Standout - good time to achieve distinctive and profitable position. So what?

Proposition - value, clear, consistent - must “ring true”

Use don’t own - build on ‘free’

Invest in data - create, collect, exchange, borrow, give, sell, rent... combine

Time and place - every time, every place, everywhere: selling and serving by mobile in time and place

Look and learn - success is temporary: learn and respond to customers rather than ‘telling them’ to comply

Standout - good time to achieve distinctive and profitable position.

Thank you Digital Trends London, January 2009 www.ianjindal.com www.internetretailing.net

Thank you

Digital Trends

London, January 2009

www.ianjindal.com

www.internetretailing.net