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
SIGN UP TRY NOW
Recommended for you...
>VisualDNA_ID#094783027592<>Merchant_ID#894028503<>18:45:03_23.12.2013<>250_USD
CheckoutOrder #77389/9374
Contact details
Address
Shipping
PaymentName on card
Card Number
Expiry Date PAY NOW
>Mastercard_ID
#094783027592>Mastercard_ID
#094783027592
Database
>VisualDNA_ID#094783027592<>Merchant_ID#894028503<>18:45:03_23.12.2013<>250_USD
>VisualDNA_ID#094783027592<>Merchant_ID#894028503<>18:45:03_23.12.2013<>250_USD
VisualDNA_IDA#094<>M#888:44
<>
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
SIGN UPT RY NOW
Recommended for you...
SIGN UP TRY NOW
Recommended for you...
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 [email protected]