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.
Apps we’ve supported on measurement & signals
“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.”
Julien Ceddaha, Opal
2x1
1
Tall
57%
Lower CAC for predictive signal vs start trial event in A/B test
1x2
2
Normal
Mimo
Education
1x1
7
Normal
“We've worked with a lot of consultants, but Day30 were the first who truly understood mobile attribution at a deep level. After more than a year of trying to solve this internally, Day30 helped us get granular CAC visibility on iOS.”
John White, CEO at Birda
2x1
8
Tall
Speak
Language
1x1
9
Normal
Finimize
News
1x1
10
Normal
Joy
Parenting
1x1
11
Normal
