Case Studies/Wolvestuff

Wolvestuff , an online retailer in the North American market wanted to scale audiences while keeping a positive and sustainable Return on Ad Spend (ROAS) . They needed to be able to target audiences broader than users with abandoned carts, but still with a clear purchase intent.

Challenges
Wolvestuff successfully ran Facebook Dynamic Product Ads (DPA) in limited scale to abandoned cart users. Unsurprisingly, expanding to audiences of users who viewed products but didn’t Add-To-Cart (ATC), was unsuccessful both in standard ‘flat’ remarking and DPA.

The next logical step was crossing product views with user behavior through engagement signals, such as time spent on site, view-depth, return rate and others.

These did not prove effective, and failed to achieve a positive ROAS for extended periods of time.

In simpler terms – it was hard to pin-point the right combination of signals that clearly indicated the users’ likelihood to convert, when an Add To Cart action has not been performed.

How Fixel Helped?
Wolvestuff implemented FIXEL and started to collect user engagement data across their site. Users were scored based on their engagement: High , Medium or Basic .

Three weeks later, tens of thousands of visitors were already tagged as High , indicating they were in the top percentile of engagement. Wolvestuff matched these users with the products they viewed (using the standard View Content event) but had not added a product to their cart.

They were served with DPA, using similar copy to the original DPA campaign.

This was the “ Eureka !” moment. This previously unreachable audience was driving conversions with similar, and sometimes better, results than the cart abandonment DPA.