How online marketing works and how to optimize budgets automatically. Same presentation given in two different data science events in Helsinki this week.
16. Bayesian Bandits / Thompson sampling
The number of pulls for a given lever should match
its actual probability of being the optimal lever
Sample from the posterior for the mean of each lever
21. Moving from conversions to revenue
ROAS = revenue / cost
= revenue / conversions * conversions / cost
= revenue / conversions * 1 / CPA
ROAS = return on ad spend
CPA = cost per action
Existing model
● Lot of data
● Varies fast
● Big differences
New model
● Little data
● Varies slowly
● Small real differences
● Lot of random variation
22. Modeling the revenue per purchase
Revenue follows usually a long-tailed distribution, use log-normal
26. WORK SMARTLY
We’re looking for new Humble Hungry Hunters
to build a world-class product company.
https://www.smartly.io/careers
Markus.Ojala@smartly.io