Goal

The client’s app is an e-commerce platform offering users a wide variety of fashion items (clothes, shoes, accessories, and so on). In a highly competitive category, the client wanted to put together awareness and user acquisition campaigns to increase app installment.

Ad Strategy

We ran the multi-channel ad campaign to capture users’ attention using banners, interstitials, and native ads. Conducting A/B-test, we figured out the best performing creative and message, and focused on these to drive the efficiency of the ad campaign more. AI algorithms were analyzing a large amount of data to accurately target and show ads to users who indicated a high likelihood of installing. Additionally, we set up look-alike targeting, which increased reach to successfully show ads to high-intent users who were similar to the client’s target audience.

Through this high-impact ad campaign, we completed the client’s task. By removing segments with a low level of conversions, working on performance, and both manual and Bid Factors optimization, the campaign finished with high efficiency and saw a significant return on investment.

Results

In the span of one month, the ad campaign achieved good results. The analytics proved that our strategy was efficient in increasing app installs as well as boosting purchases.