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THE NEW DISPLAY
POWERED BY BIG DATA PERSONALIZATION
IN A NUTSHELL
Founded in 2005, myThings is the worldwide leader in
conversion-driven display advertising solutions.

Translating intent data into personalized ads, we drive
incremental sales for top online retailers.
15 MARKETS, 800 CUSTOMERS, 160 EMPLOYEES
USA

FRANCE

BENELUX

ITALY

UK GERMANY

TURKEY
SCANDINAVIA

RUSSIA

JAPAN
SPAIN

over
INDIA
LATAM
THE NEW DISPLAY
POWERED BY BIG DATA
PERSONALIZATION
[DISPLAY] ADVERTISING IS CHANGING…
FROM AGE OF AGENCIES

Media Buying En Masse
Targeting Almost Non-Existent
One Creative Fits All
TO AGE OF MACHINES

Programmatic Media Buying
One Creative Fits One
Real Time Advertising
Big Data
COMPANIES STILL NOT CAPITALIZING ON BIG DATA

60
%

considered their
organizations
unprepared to
handle big data

90
%

Failure to
capitalize on big
data translated
to lost revenues

March–April survey among digital marketers

March–April survey among digital marketers
BIG data. BIG opportunity.

60%

Potential increase in retailers’ operating
margins possible with big data
BIG DATA PERSONALIZATION IN DISPLAY

VOLUME

VERACITY

VELOCITY
BIG DATA PERSONALIZATION IN DISPLAY

VOLUME

VERACITY

VELOCITY
MULTIPLE SOURCES OF DATA

Visual recognition data

Social data

CRM Data (2st party)

2

Publisher data

Campaign
Performance data

3

3rd party data

Site-side data (1nd party)

1
1st PARTY DATA (CRM TARGETING)
CRM

BRIDGING ENTERPRISE
CRM DATA WITH DISPLAY

Customer life-time value
gross margin per product

Specific payment methods
Transaction history

DISPLAY
ADVERTISING
DATA GOING UPSTREAM
CROSS-FUNNEL DISPLAY
UPPER FUNNEL
1010010011110110111110101010110101011100
10100101110110111110101010110101011100
10100101001000101010001001001000111
101001001111110010000100100111111
10100100100010010111000101110
101001001100001011010011111

MID FUNNEL

Pretargeting

10100100110000101101001
101001001100101101001
1010010011010010011
10100100110100100
101001001110111

LOWER
FUNNEL

Dynamic
display
MULTIPLE CHANNELS

Desktop

Mobile

Video

Facebook
BIG DATA PERSONALIZATION IN DISPLAY

VOLUME

VERACITY

VELOCITY
GRANULAR SEGMENTATION = PRECISION TARGETING

Product-related

Level of intent

1st party segment

Traffic source
UNIQUE CAMPAIGN FOR EVERY SEGMENT

Segment
Registered users
who never bought
Unique Pricing
8% CPA / 25p CPC

Unique
Products
High margin

Unique layout
Unique
Large-font
Promotion
promotion
15% off your
1st purchase
BIG DATA PERSONALIZATION IN DISPLAY

VOLUME

VERACITY

VELOCITY
In less than 120MS advertisers have to…

Receive bid
Opportunity

Identify cookie

Decide whether
to bid and what
price to bid

Return bid

AdX decision

Select
personalized
content

Serve banner
REAL TIME DECISIONS: BIDDING
Standard optimization
Assuming impression, will
the user click or not?

Big data optimization
Assuming impression, will
the user click or not?
Assuming click, will the
user convert?
Assuming conversion,
how much will be spent?

Assuming spend, what
will be advertiser’s ROI?
REAL TIME DECISIONS: DYNAMIC CREATIVE

Product
Recommendati
on Engine
What banner to
present to which
user?
Adaptive
banner
optimizer
BIG DATA PERSONALIZATION IN DISPLAY

CASE STUDY
CASE STUDY: LITTLEWOODS

Data-driven acquisition & retargeting combined
1st party data optimisation
HOW DID IT WORK?
Did user visit site?

NO

YES

User shown dynamic
display banner

User shown personalized
retargeting banner
RESULTS

1€ : 23€
ROI RATIO

8.18%+
ROI UPLIFT
COMPARED TO
INITIAL FORECAST

Average
PCCR
EXCITING TIMES AHEAD!
Thank You

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The new display powered by big data personalisation, myThings

  • 1. THE NEW DISPLAY POWERED BY BIG DATA PERSONALIZATION
  • 2. IN A NUTSHELL Founded in 2005, myThings is the worldwide leader in conversion-driven display advertising solutions. Translating intent data into personalized ads, we drive incremental sales for top online retailers.
  • 3. 15 MARKETS, 800 CUSTOMERS, 160 EMPLOYEES USA FRANCE BENELUX ITALY UK GERMANY TURKEY SCANDINAVIA RUSSIA JAPAN SPAIN over INDIA LATAM
  • 4. THE NEW DISPLAY POWERED BY BIG DATA PERSONALIZATION
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  • 8. FROM AGE OF AGENCIES Media Buying En Masse Targeting Almost Non-Existent One Creative Fits All
  • 9. TO AGE OF MACHINES Programmatic Media Buying One Creative Fits One Real Time Advertising Big Data
  • 10. COMPANIES STILL NOT CAPITALIZING ON BIG DATA 60 % considered their organizations unprepared to handle big data 90 % Failure to capitalize on big data translated to lost revenues March–April survey among digital marketers March–April survey among digital marketers
  • 11. BIG data. BIG opportunity. 60% Potential increase in retailers’ operating margins possible with big data
  • 12. BIG DATA PERSONALIZATION IN DISPLAY VOLUME VERACITY VELOCITY
  • 13. BIG DATA PERSONALIZATION IN DISPLAY VOLUME VERACITY VELOCITY
  • 14. MULTIPLE SOURCES OF DATA Visual recognition data Social data CRM Data (2st party) 2 Publisher data Campaign Performance data 3 3rd party data Site-side data (1nd party) 1
  • 15. 1st PARTY DATA (CRM TARGETING) CRM BRIDGING ENTERPRISE CRM DATA WITH DISPLAY Customer life-time value gross margin per product Specific payment methods Transaction history DISPLAY ADVERTISING
  • 16. DATA GOING UPSTREAM CROSS-FUNNEL DISPLAY UPPER FUNNEL 1010010011110110111110101010110101011100 10100101110110111110101010110101011100 10100101001000101010001001001000111 101001001111110010000100100111111 10100100100010010111000101110 101001001100001011010011111 MID FUNNEL Pretargeting 10100100110000101101001 101001001100101101001 1010010011010010011 10100100110100100 101001001110111 LOWER FUNNEL Dynamic display
  • 18. BIG DATA PERSONALIZATION IN DISPLAY VOLUME VERACITY VELOCITY
  • 19. GRANULAR SEGMENTATION = PRECISION TARGETING Product-related Level of intent 1st party segment Traffic source
  • 20. UNIQUE CAMPAIGN FOR EVERY SEGMENT Segment Registered users who never bought Unique Pricing 8% CPA / 25p CPC Unique Products High margin Unique layout Unique Large-font Promotion promotion 15% off your 1st purchase
  • 21. BIG DATA PERSONALIZATION IN DISPLAY VOLUME VERACITY VELOCITY
  • 22. In less than 120MS advertisers have to… Receive bid Opportunity Identify cookie Decide whether to bid and what price to bid Return bid AdX decision Select personalized content Serve banner
  • 23. REAL TIME DECISIONS: BIDDING Standard optimization Assuming impression, will the user click or not? Big data optimization Assuming impression, will the user click or not? Assuming click, will the user convert? Assuming conversion, how much will be spent? Assuming spend, what will be advertiser’s ROI?
  • 24. REAL TIME DECISIONS: DYNAMIC CREATIVE Product Recommendati on Engine What banner to present to which user? Adaptive banner optimizer
  • 25. BIG DATA PERSONALIZATION IN DISPLAY CASE STUDY
  • 26. CASE STUDY: LITTLEWOODS Data-driven acquisition & retargeting combined 1st party data optimisation
  • 27. HOW DID IT WORK? Did user visit site? NO YES User shown dynamic display banner User shown personalized retargeting banner
  • 28. RESULTS 1€ : 23€ ROI RATIO 8.18%+ ROI UPLIFT COMPARED TO INITIAL FORECAST Average PCCR

Notas do Editor

  1. BIG RESULTS FOR COMPANIES WHO LEVERAGE BIG DATA