A/B Testing Impact of Google’s ConsumerSDK on our metrics
Md Aamir Sohel Ansari
I employed a 37.5/31.25/31.25 split: Control group (IDs ending with 7,8,9,d,e,c); Test group 1 (Live tracking with distance + traffic layer ON, IDs ending with 0,1,2,3,4); Test group 2 (Live tracking with distance + traffic layer OFF, IDs ending with a,b,f,5,6). Metrics tracked: G2N (Target), OCARA (Check).
The two-sample t-test p-value for G2N and OCARA for both traffic layer OFF and traffic layer ON exceeds alpha (0.05), indicating no significant change in G2N and OCARA values between control and test groups.
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Posted Nov 1, 2023
I had to test the significance of the impact od ConsumerSDK on our G2N metrics for tier1 and tier2 cities. I employed A/B testing to determine the same.
