VisualDNA Predictive AnalyticsPredict and Optimise in Real Time

VisualDNA’s psychographic data measures the personality, values,

interests, attitudes and lifestyle of consumers.

Psychographic data predicts purchasing patterns

We can predict buying behaviour by knowing ‘who’ a consumer is:

How much they spend

When theybrowse

When they buy

What they buy

How we collect data

We profile consumers with visually based personality tests. The data represented in this presentation comes from consumers that have completed our core personality test. This test covers many aspects of an individual’s life, including core aspects of their personality, their values, their life interests, attitudes and general lifestyle.

KNOWNPROFILE

UNKNOWNPROFILE

How do other people see you?(pick one)

How it works

VisualDNA collaborated with one of the world’s largest online retailers of electronic goods to profile thousands of its customers using our core personality test.

We also placed our pixels at key stages of the conversion funnel throughout their ecommerce site. These pixels enabled us to know exactly what was being bought on the site and when.

Welcome

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CheckoutOrder #77389/9374

Contact details

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Card Number

Expiry Date PAY NOW

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Men and women, young and old, these night

owls aren't what you'd expect. They’re tech

addicts that chill out by gaming, surfing and

watching sport or the latest big TV drama.

They're young at heart and love flash, fast cars,

but meet their adult obligations. Their food's

fast too - a quick pit stop then it's back to life.This would spark a conversation with me

How I like to be entertained

How I use my spare time

My idea of successThe secret of lasting love

My typical drink My evening meal My kind of art

Gamers: Psychographic Data

82%Male

18%Female

59%Have a family

59%Aged over 25

18-24-18 25-34 35-44 45-54 55+

17%

24%32%

18%

7%2%

Gamers: Purchasing Behaviour

+10%Decision to purchase

-22%Average purchase

+70%Day of purchase

+56%Time of purchase

Nexus 4 £271.35$438.15

Alcatel One Touch£38.56$62.27

HTC one X 16Gb £251.96$405.54

Samsung HM1200 £13.38$21.59

Zyxel Keenetic II £56.05$90.43

Prestigio MultiPad £48.30$77.91

Galaxy Tablet 10.1 £16.47$26.53

3.7x 1.6x1.8x2.2x2.4x

MORE LIKELYTO PURCHASE

3.7x 3.7x

SUN10.3

days£201.43$324.52

12am

6amTO

MORE LIKELYTO PURCHASE

MORE LIKELYTO PURCHASE

They strive to settle down and enjoy the

family life. Work is simply a way to provide.

Money is key to a happy relationship but, as

long-termists, they’d rather save than splash

out. Low cost holidays and leisure highlight

they want the quiet life, although an interest

in high-octane entertainment shows they This is my main goal This would spark a

conversation with meThis is the reason I

work

How I spend my spare time

My kind of sport My kind of holiday Where I do my shopping

The secret of lasting love

Family: Psychographic Data

57%Male

43%Female

65%Have a family

67%Aged between 25-44

-18 18-24 25-34 35-44 45-54 55+

5%

16%

37%30%

10%

2%

Family: Purchasing Behaviour

Lenovo Idea Phone£251.72$405.54

-4%Decision to purchase

+23%Average purchase

+16%Day of purchase

+96%Time of purchase

THU9

days

Apple iPhone 48Gb£271.15$438.15

Nexus 4 £271.15$438.15

Galaxy Tablet 10.1 £16.47$26.53

Canon EOS 650D £668.35

$1076.74

Samsung HM1200 £13.38$21.59

Zyxel Keenetic II £56.05$90.43

3.9x

9am10.30am

TO

MORE LIKELYTO PURCHASE

3.9xMORE LIKELYTO PURCHASE

3.9xMORE LIKELYTO PURCHASE

3.9xMORE LIKELYTO PURCHASE

1.9x 1.2x2.9x

£316.62$510.76

Case Study:Leveraging VisualDNA data to predict the value of a user.

Estimating Average Transaction Value

AVERAGE TRANSACTION VALUE

NU

MB

ER

OF

CU

S TO

ME

RS

|£96.89

$156.44

|0

|£193.78$312.19

|£290.67$468.29

|£387.56$624.38

|£484.55$780.48

|£581.46$936.57

|£678.23

$1092.66

8000 –

6000 –

4000 –

2000 –

0 –

Anonymous UserAVERAGE TRANSACTION VALUE

Anonymous users = £251.91/$406.76

|£96.89

$156.44

|0

|£193.78$312.19

|£290.67$468.29

|£387.56$624.38

|£484.55$780.48

|£581.46$936.57

|£678.23

$1092.66

Female User

Male User

AVERAGE TRANSACTION VALUE

AVERAGE TRANSACTION VALUE

Estimating Average Transaction Value

AVERAGE TRANSACTION VALUE

NU

MB

ER

OF

CU

S TO

ME

RS

8000 –

6000 –

4000 –

2000 –

0 –

Anonymous UserAVERAGE TRANSACTION VALUE

Anonymous + Gender

Estimating Average Transaction Value

AVERAGE TRANSACTION VALUE

NU

MB

ER

OF

CU

S TO

ME

RS

8000 –

6000 –

4000 –

2000 –

0 –

Anonymous UserAVERAGE TRANSACTION VALUE

Anonymous + Gender + Age

Female User aged 25-44AVERAGE TRANSACTION VALUE

Male User aged 25-44AVERAGE TRANSACTION VALUE

|£96.89

$156.44

|0

|£193.78$312.19

|£290.67$468.29

|£387.56$624.38

|£484.55$780.48

|£581.46$936.57

|£678.23

$1092.66

Family Male aged 25-44AVERAGE TRANSACTION VALUE

Estimating Average Transaction Value

AVERAGE TRANSACTION VALUE

NU

MB

ER

OF

CU

S TO

ME

RS

8000 –

6000 –

4000 –

2000 –

0 –

Anonymous UserAVERAGE TRANSACTION VALUE

Anonymous + Gender + Family vs. Gamers

Family Female aged 25-44AVERAGE TRANSACTION VALUE

Gamer Male aged 25-44AVERAGE TRANSACTION VALUE

Gamer Female aged 25-44AVERAGE TRANSACTION VALUE

|£96.89

$156.44

|0

|£193.78$312.19

|£290.67$468.29

|£387.56$624.38

|£484.55$780.48

|£581.46$936.57

|£678.23

$1092.66

Proposition: acquire new users with high conversion rate.42.6M users in one of the regions VisualDNA operates in. Our Look-A-Like technology can find users who answered the quiz similarly to those who converted.

Example: we found 3.6M users who are 3 times more likely (than the average) to buy high-

end smartphone.

User Acquisition

Proposition: combine VisualDNA segmentation and behavior on site to achieve even better conversion rates.Traditional retargeting techniques focus on users who drop off before conversion. E.g., “added to basket” without “purchase”. Behaviour of existing customers on site with our unique segmentation allows us to extend traditional retargeting techniques by identifying users up the funnel who are likely to convert. It is possible to target them on and offsite.

Example: we can identify 7.5K unique users on a daily basis who are 5.8 times more likely to convert than active users of online retailer.

Extended Retargeting

Optimising Conversion rate for Ecommerce site

Personalised Messaging

Target users with a tailored message.

Landing page optimization

Recommended products based on VisualDNA

data.

Funnel optimization

Understand what makes users convert and

optimize the site to reflect on this.

Cross /up sell

Recommend additional products a user is likely

to buy.

Personalisation

Welcome

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Welcome

A Unique PropositionBehavioural data on site is important. Unlike our competitors we use our visual questionnaire

to enrich our knowledge of one’s users far and beyond the typical behavioural data.

This enables us to provide up to 80% uplift in user conversions.

VisualDNA Predictive Analyticscontact@visualdna.com