VisualDNA helps businesses better understand customers by providing psychographic data on over 65 million Russian profiles, going beyond conventional big data on what, when, and where to provide insight into who customers are and why they do things. By combining big data and psychology, VisualDNA improves predictive accuracy by nearly 300% within the first minute of a session compared to using first party data alone. The company recommends that businesses understand their audience using various data sources, leverage first party data, integrate VisualDNA's third party data to create a clearer customer profile, analyze the data to optimize marketing content, and plan and optimize content like ads based on the three-dimensional profiles covering what, where, and who customers are.

1. «What, Where and WHO делает ваш клиент:
От 2D к 3D персонализации контента»
Анна Ская, CEO
VisualDNA Russia

5. VisualDNA: больше, чем Big Data
Big data + psychology = Psy-tech
Helping people to be understood for who they really are
Conventional big data
sources and analytics
only get you so far
WHAT people do
WHEN they do it
WHERE they do it
Our data provides the
WHO and WHY
WHO you are
WHY you do things
§ 65M profiles in Russia
§ Deep customer understanding
§ Better, faster decisions
§ More relevant customer
experience, loyalty, retention
§ Improved business performance
+ =
Our Partners:

6. CONSUMER
Engaging consumer products
create powerful psychographic
database
We help people to be valued
for who they really are
SCIENCE
Using psychology and big data to
understand more about people
than anyone else
MARKETING SERVICES
Understanding people at scale to help
businesses treat their customers
appropriately
TECHNOLOGY
Advanced ‘big data’ technology
leverages predictive analytics
across a database of more than
300 million profiles
Немного о VisualDNA

7. Цифровой портрет пользователя

9. Within first minute of a
session VDNA data improves
prediction accuracy by nearly
300% compared to 1st party
data alone.
Case Study: Data helps you predict

10. WHAT?
(context, searching, device)
WHERE?
(geo tag, maps, home/office)
WHO (psychographic, personality )
3D профиль: WHERE, WHAT и WHO

11. 1.
Понимайте
аудиторию
(TNS,
Google,
Yandex)
2.
Используйте
1st
party
3.
Integrate
3rd
party
data
для
создания
более
чёткого
профиля
4.
Анализируйте/use
it
(создавайте
свою
систему
или
оптимизируйте
существующую)
5.
Планируйте
и
оптимизируйте
контент
(рекламу)
Как использовать 3D персонализацию:

12. Thank you