In this presentation delivered during the Adjust Mobile Spree Event by Guillem Pons (from Badi) you will learn about machine learning.

2. Badi: The Urban Renaissance

3. The Product
A two-sided Marketplace

4. How it works

5. Data Science Team
Badi Data Science
Guillem Pons Adrián Pino

6. Data Science and Marketing
Facebook ads Google adwords Mobile & Web
We process data We visualize data
We analyse data

7. Question: Of what we target, what do we get?
The Problem
User Acquisition Targets Facebook
Algorithm
(black box)
Users?

8. Question: Of what we target, what do we get?
The Solution
Web/App Adjust Data Science API
DATABASE

9. How are these users?
We need a
DATA WAREHOUSE!
Server to Server (Adjust)
Backend Data
API logs

10. Test facebook
acquisition
(User quality)
Optimize campaigns
based on user data
(User retention)
we can predict
who will engage!
Crown Jewel:
Now, we are ready!

11. Funnel Estimation
Machine
learning
is coming…

12. “The” Question
What’s the probability of a
user ending up a lister?
Random Forest Logistic Regression

13. Not all algorithms always work
Score of
80%
Random Forest Logistic Regression

14. Classification
Technical Issue:
Algorithm fits
all available data

15. Next Steps: Social Data