High Impact Testing

They came to us with a request to scale their AD & creative performance.

The main goal was to implement a testing strategy and increase overall AD & creative performance. The main metric we wanted to improve where:

• Click Through Rates (CTR)
• Cost per Action (CPA)
• Return on Ad Spend (ROAS)

The challenge was to improve overall Brand Communication, and enhance their communication architecture.

We decided to test with the new Prouct launch. In order to test and reach new audiences, and create a new revenue stream.

Although the brand is all about emotion, we needed to focus on data. Learn what the customer pain points are, and how we solve their problems.

Because we are on a tight schedule and budget we setup a process of a series of Sprints and High Impact Tests. In order to save budget and gain Confidence Intervals with our tests we setup our tests based on Cumulative Binomial Probability Distribution.

Every test reinforces the previous learning and that is how we gained confidence with the test results.

OVERALL RESULTS.

AD RANKING.

RESULTS.

We tested a Traffic Campaign Objective VS Purchase Campaign Objective on Prospecting Audiences.

The Campaigns start of with the Traffic Campains outperforming the Purchase Campaign.

But once the algorithm learns, we see the Purchase Objective Campaign  gain traction and starts to outperform the Traffic Campaign.

The overall goal is reached, we have a scalable and profitable New Customer Acquisition Campaign, with a Brand New Product.

Start Planning and implement a continous High Impact Test process for all products and campaigns. All in order to maximise business and campaign performance.