FEATURED CASE STUDY
How Opal achieved 33% higher M0 ROAS in a Meta test using
predictive signals
Day30 used machine learning to score users from onboarding responses and their first six hours of in-app behaviour, helping Meta identify likely paying subscribers while keeping cost per trial comparable.
A look at our customers
“These results came from the model I build and monitor for Opal's own internal reporting - not a cherry-picked data source. The pilot result was also visible in our own analytics.”
Yunshu Yang, Opal
2x1
1
Tall
57% Lower CAC for predictive signal vs start trial event in A/B Test
1x2
4
Normal
Mimo
Education
1x1
2
Normal
1x1
5
Normal
Finimize
News
1x1
3
Normal
1x1
7
Normal
“These results came from the model I build and monitor for Opal's own internal reporting - not a cherry-picked data source. The pilot result was also visible in our own analytics.”
John White, CEO at Birda
2x1
9
Tall
Joy
Parenting
1x1
12
Normal
Speak
Language
1x1
13
Normal
