Alex Orap, Founder and Chief Growth Officer at YouScan joins NewMR to show how to capture valuable consumer insights using AI-powered capabilities. This session includes a demonstration of the YouScan platform.

1. How to use AI
to capture insights from social media data

2. AGENDA
Alex Orap
Founder & Chief Growth Officer,
YouScan
● Introduction
● Reasons to be sceptical about social data
● Benefits of social data analysis
● AI applications for NLP and CV
● Demo time!
● Q&A

3. 2009
year founded
75
teammates in
13 countries

4. TRUSTED BY 400+
BRANDS AND AGENCIES GLOBALLY
RECOGNIZED BY
INDUSTRY ANALYSTS & CUSTOMERS
Cool AI Vendor for Marketing
- Gartner
“Visual Analysis category Winner
in Martech Challenge
- report by SaaS Advisor
“

5. Conversational data is huge and growing
Global social media users, billions (2017 - 2022)
Source: Statista

6. Issues with social data
● Unstructured
● Not uniform
● Noisy
● Often vague and nuanced
● Representativeness

7. Research industry challenges
● Increased demand for data and insights
● The need to get to insights faster
● “Supply” issues:
○ Low survey response rates
○ BBFG low show-up rates
○ Repeat respondents
○ Panels composition issues

8. The benefits of social data
● Agile and real-time research

9. ● Agile and real-time research
● Access to niche communities
The benefits of social data

10. The benefits of social data
● Agile and real-time research
● Access to niche communities
● Undistorted opinions
● Anonymous feedback

11. The benefits of social data
● Agile and real-time research
● Access to niche communities
● Undistorted opinions
● Anonymous feedback
● See what they do, not what they say

12. Image: 7wdata.be

13. Image:
researchgate.net,
Zhenyu
Wen
Supervised learning

14. Image:
researchgate.net,
Zhenyu
Wen
Supervised learning Unsupervised learning

15. Unsupervised learning:
Trends & anomalies

16. Trend analysis: craft beers

17. Trend analysis: cruelty-free cosmetics

18. Supervised learning: Sentiment and aspects

19. 3.2 billion images are
shared online daily
Source: The Conversation

20. Logos
Objects
Scenes
Activities
Demographic Information
What can computer vision detect?
7
~ 1000 visual labels that can
be used for further analysis

21. Live Demo

22. 🔥Representativeness: from niche communities..

23. 🔥Representativeness: from niche communities.. to global trends

24. Thank you!
Try AI-powered social media analytics:
youscan.io/newmr