This case focuses on a Nutra offer in India with a payout of $0.7 per conversion (CPL) and a target CPA of $0.49. The campaign was launched using 300×250 banner ads and involved 5 different creatives to conduct split testing.
After the first 3 days, the campaign gathered enough data for optimization. The initial CPA was $0.53, and using Keitaro for s2s postbacks, the advertiser began refining the campaign.
Using data from the SSP panel, a blacklist of over 100 Zone IDs was created, focusing on those with CPA values more than 30% above the target. Two out of the five creatives were retained for further use, with a CTR threshold of 0.4.
By the end of the test period, the advertiser successfully optimized the CPA to values 20% lower than the initial target. The top-performing creatives were selected for scaling, allowing for further expansion of the campaign.
This case study demonstrates that continuous optimization and data-driven testing can lead to significant improvements in both CPA and ROI. The total payout from the partner was $1,632, achieving an impressive 74% ROI, making the campaign both effective and profitable.
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