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DATA era
Data-driven services for the Mobile Marketing
Industry
Dr. Theodoros
Michalareas
tmichalareas@velti.com
Boosting the
App
Economy
Let’s get started!
FIA Dublin
A mobile showroom
background
examples
interesting problems
& future
FIA Dublin
2
Boosting
the App
Economy
3
Digital me
Boosting
the App
Economy
People use mobile to
help them in their
daily lives
Harvard Business Review, Jan/Feb 2013
4
Boosting the
App Economy
Big data in mobile marketin
5
Boosting the
App Economy
App Stores & developers
distimo
6
Boosting the
App Economy
Mobile marketing funnel
Marketers interest in
using mobile
Base: 139 mobile marketers Source: A commissioned study conducted by Forrester Consulting on behalf of Group Commerce,
September 2012
Which of the following targeting dimensions are you using in mobile marketing or
advertising?
• Mobile-specific
(partial)
• Real-time information
• Mobile-specific
• Static / Profile
• Audience
• Static / Profile
Boosting the
App Economy
background
examples
interesting problems
the future
FIA Dublin
8
Boosting
the App
Economy
9
Data Gathered
 Page views
 Site visits
 Time spent on site
 Response Rate
 Purchases
Data Gathered
 Impressions
 Clicks
 Click-through rate
 Installs
 Opt-ins
Data Gathered
 Participation
 Usage
 Interactions
 Data profile
Data Gathered
 Payments
 Revenue from ads
 Redemption rate
 Amount spent
 Top-ups
MOBILE
MARKETING
POWERED BY
DATA
Tying data collected from across the
digital/mobile marketing mix to provide
brands a universal view of their consumer
LONG TERM
CUSTOMER
LOYALTY
CONSUMER
ENGAGEMENT
To grow…
CONSUMER
DATA
enables…
CONSUMER
INSIGHTS
To drive…
Seasonal
On-Pack
Promo
Promotional
Sampling
Facebo
ok
Contest
POS Ads
Coupon
Offers
Print Ads
Data
Collected
Data
Collected
Data
Collected Data
Collected
Data
Collected
Data
Collected
TV Spot
Data
Collected
THE BIG DATA CHALLENGE
EXAMPLE STRATEGY TO ACHIEVE
CONSUMER ENGAGEMENT
10
Boosting the
App Economy
11
Sequential paths - more start on a
smartphone than anywhere
Source: Google, The new multi-screen world: understanding cross-platform consumer behaviour, US, August 2012
• Based on the type of task at hand and the role of each device
• Consumers primarily rely on search, rather than links or URLs to switch device
12
Sequential paths are based on the task and
role of device
Source: Google, The new multi-screen world: understanding cross-platform consumer behaviour, US, August 2012
• On tablet the most common starting point is for shopping and travel
• Consumers rely on search, rather than use links or URLs to switch device
background
examples
interesting problems
& the future
FIA Dublin
13
Boosting
the App
Economy
MOBILE APPLICATION DISCOVERY &
PROMOTION
Data driven
services
MOBILE APPLICATION – ACTIONABLE
ANALYTICS
Data driven
services • How many are my
customers
• Who are they
• How they use my app &
which aspects they enjoy
most
• How is this actionable
through an SDK/API
MOBILE APPLICATION – INSIGHTS
Data driven
services
• What are the audience
segments of my application
inmobi
MOBILE APPLICATION – DEVELOP
MONETIZATION RULES
Data driven
services
Inmobi
MOBILE APPLICATION – DATA SILOS &
PERSONAL DATA
Data driven
services
Exposing data outside silos
- App silos
- Vendor silos
- Operator silos
MOBILE APPLICATION – PRIVACY & VALU
Data driven
services
 Transparency
 What the application knows
 How it is used
 Security
 Data are safe and secure
 Control
 I can control what you do with my
data
Cost of policy framework
MOBILE APPLICATION – TARGETING
Data driven
services
IT’S
BEENFIA Dublin
21
Boosting the
App Economy

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FIA Dublin Presentations: Data Driven Services in the Mobile Marketing Industry by Theodoros Michalareas

  • 1. DATA era Data-driven services for the Mobile Marketing Industry Dr. Theodoros Michalareas tmichalareas@velti.com Boosting the App Economy Let’s get started! FIA Dublin A mobile showroom
  • 2. background examples interesting problems & future FIA Dublin 2 Boosting the App Economy
  • 3. 3 Digital me Boosting the App Economy People use mobile to help them in their daily lives Harvard Business Review, Jan/Feb 2013
  • 4. 4 Boosting the App Economy Big data in mobile marketin
  • 5. 5 Boosting the App Economy App Stores & developers distimo
  • 7. Marketers interest in using mobile Base: 139 mobile marketers Source: A commissioned study conducted by Forrester Consulting on behalf of Group Commerce, September 2012 Which of the following targeting dimensions are you using in mobile marketing or advertising? • Mobile-specific (partial) • Real-time information • Mobile-specific • Static / Profile • Audience • Static / Profile Boosting the App Economy
  • 9. 9 Data Gathered  Page views  Site visits  Time spent on site  Response Rate  Purchases Data Gathered  Impressions  Clicks  Click-through rate  Installs  Opt-ins Data Gathered  Participation  Usage  Interactions  Data profile Data Gathered  Payments  Revenue from ads  Redemption rate  Amount spent  Top-ups MOBILE MARKETING POWERED BY DATA Tying data collected from across the digital/mobile marketing mix to provide brands a universal view of their consumer
  • 10. LONG TERM CUSTOMER LOYALTY CONSUMER ENGAGEMENT To grow… CONSUMER DATA enables… CONSUMER INSIGHTS To drive… Seasonal On-Pack Promo Promotional Sampling Facebo ok Contest POS Ads Coupon Offers Print Ads Data Collected Data Collected Data Collected Data Collected Data Collected Data Collected TV Spot Data Collected THE BIG DATA CHALLENGE EXAMPLE STRATEGY TO ACHIEVE CONSUMER ENGAGEMENT 10 Boosting the App Economy
  • 11. 11 Sequential paths - more start on a smartphone than anywhere Source: Google, The new multi-screen world: understanding cross-platform consumer behaviour, US, August 2012 • Based on the type of task at hand and the role of each device • Consumers primarily rely on search, rather than links or URLs to switch device
  • 12. 12 Sequential paths are based on the task and role of device Source: Google, The new multi-screen world: understanding cross-platform consumer behaviour, US, August 2012 • On tablet the most common starting point is for shopping and travel • Consumers rely on search, rather than use links or URLs to switch device
  • 13. background examples interesting problems & the future FIA Dublin 13 Boosting the App Economy
  • 14. MOBILE APPLICATION DISCOVERY & PROMOTION Data driven services
  • 15. MOBILE APPLICATION – ACTIONABLE ANALYTICS Data driven services • How many are my customers • Who are they • How they use my app & which aspects they enjoy most • How is this actionable through an SDK/API
  • 16. MOBILE APPLICATION – INSIGHTS Data driven services • What are the audience segments of my application inmobi
  • 17. MOBILE APPLICATION – DEVELOP MONETIZATION RULES Data driven services Inmobi
  • 18. MOBILE APPLICATION – DATA SILOS & PERSONAL DATA Data driven services Exposing data outside silos - App silos - Vendor silos - Operator silos
  • 19. MOBILE APPLICATION – PRIVACY & VALU Data driven services  Transparency  What the application knows  How it is used  Security  Data are safe and secure  Control  I can control what you do with my data Cost of policy framework
  • 20. MOBILE APPLICATION – TARGETING Data driven services

Editor's Notes

  1. Click in the text boxes to edit their content.
  2. Click in the text boxes to edit their content.
  3. Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation (Source: McKinsey Global Institute, 2011) We believe that there is a BIG DATA challenge for all FMCG brandsThere is quite a big amount of data produced by the unconnected marketing initiatives that each one of them produces fragmented data that will never let you know your consumers
  4. of those, let’’sFOCUS on tablet for a second… the least common device for sequential switching…..(remember starting mobile is most likely to result in a multiple device path…)Tablets are most used for shopping and travel planning (versus other activities) Note how few people (i.e. ZERO) feel the need to carry on shopping on a smartphone after starting on a tablet25% start shopping on a desktop – 19% continue on a smartphone, 5% on a tablet65 % start shopping on a smartphone – 61% continue on a PC, 4% continue on a tablet
  5. Click in the text boxes to edit their content.
  6. Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation (Source: McKinsey Global Institute, 2011) We believe that there is a BIG DATA challenge for all FMCG brandsThere is quite a big amount of data produced by the unconnected marketing initiatives that each one of them produces fragmented data that will never let you know your consumers
  7. Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation (Source: McKinsey Global Institute, 2011) We believe that there is a BIG DATA challenge for all FMCG brandsThere is quite a big amount of data produced by the unconnected marketing initiatives that each one of them produces fragmented data that will never let you know your consumers
  8. Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation (Source: McKinsey Global Institute, 2011) We believe that there is a BIG DATA challenge for all FMCG brandsThere is quite a big amount of data produced by the unconnected marketing initiatives that each one of them produces fragmented data that will never let you know your consumers
  9. Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation (Source: McKinsey Global Institute, 2011) We believe that there is a BIG DATA challenge for all FMCG brandsThere is quite a big amount of data produced by the unconnected marketing initiatives that each one of them produces fragmented data that will never let you know your consumers
  10. Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation (Source: McKinsey Global Institute, 2011) We believe that there is a BIG DATA challenge for all FMCG brandsThere is quite a big amount of data produced by the unconnected marketing initiatives that each one of them produces fragmented data that will never let you know your consumers
  11. Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation (Source: McKinsey Global Institute, 2011) We believe that there is a BIG DATA challenge for all FMCG brandsThere is quite a big amount of data produced by the unconnected marketing initiatives that each one of them produces fragmented data that will never let you know your consumers
  12. Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation (Source: McKinsey Global Institute, 2011) We believe that there is a BIG DATA challenge for all FMCG brandsThere is quite a big amount of data produced by the unconnected marketing initiatives that each one of them produces fragmented data that will never let you know your consumers
  13. Click in the text boxes to edit their content.