Affiliate Case Study: ROI 58% – Financial Offers

Experienced affiliate marketing professional Mark Corlo and his media buying team share a campaign case study on how they used MegaDSP to generate a net profit of $765 in 30 days.

Campaign period: 30 days (February 2021), Offers: Various financial products, GEO: Colombia, Traffic: Pops and Push Notifications, Investment: $1,370, Total income: $2,135, Net profit: $765, Conversions: 735, ROI: 58%

Launch stage

In the initial testing phase, we decided to use Push Notifications and Pops. We started sending our traffic directly to the offer in the case of Push, and for the Pop traffic we created a specific landing page in order to verify that the campaign showed potential.

We tested several different creatives and angles for our ads to determine which converted the best and if there was at least one variant that could work for us. After the first round of testing we came to the conclusion that this vertical had potential.

Our focus was on choosing the winning conversion angle. For this we did split testing and created new variations of the winning ad to try to further improve our metrics.

What metric determined that a creative was considered a winner? We evaluated the CTR of the ad (this told us how attractive the ad was to consumers) and its Conversion Rate. The higher CTR allowed us to reduce advertising costs of the traffic source and the higher conversion rate allowed us to bid higher than our competing advertisers. It was all about finding the right balance.

Optimization Stage

After testing more than 13 different creatives and angles with our ads, we were left with the 3 that had achieved a superior performance. This was the case with Push Notifications.

During the optimization process, the placements that didn’t work for us (those which we were spending budget on but that didn’t generate enough conversions, were eliminated.)

In the case of Pop traffic we had to be quick to identify Bot traffic. For this it was necessary to use a Landing Page.

Another thing we evaluated was the performance of mobile and desktop traffic. We discovered that mobile traffic showed the biggest potential.


It was a campaign that had a high amount of conversions and a profitability close to 60%, although CR% was somewhat low. This could be further improved by creating new ads and a landing page to further filter the traffic sent to the offer.


Before launching any campaign there is no guarantee that it will work, so it is advisable before launching any campaign to conduct an investigation (using Ad Intelligence) to see if the vertical or type of offer can work well with the country and the type of traffic you want to target.

It is also important to consider that unfortunately many campaigns are usually of short duration (usually between 4 -6 months), so you have to try to scale them up quickly and get the most out of them within that time period.

To be able to scale up any campaign it is advisable to try to find various traffic sources and use optimization to fine tune the campaign. Then adopt the model of using the same optimization and knowledge in order to launch similar offers.