Data-backed audience targeting optimization
We improved always-on campaign targeting framework. We uploaded offline customer data for retargeting purposes

Fixed campaign structure to improve scalability
We restructured the campaign funnels adding more detailed levels to deepen our AB testing possibilities.

AB Testing
We implemented a fixed AB Testing framework with a more scalable and flexible structure. One of the key aspects in our methodology was to understand the language and messaging that resonated the best with the targeted audiences, depending on their segment, funnel level and product knowledge. For example, male audiences preferred a straight to the point messaging that gave them a quick and easy solution for gifting. For female audiences who were new to the brand, they had to be educated much more and inspired by the different value propositions of different types of products.

Hi-IQ integration
Using our data from our Hi-IQ database, we were able to identify highly engaged users who are more likely to make a purchase action and fed it into our Facebook ads. This allowed us to remarket products to users who are highly likely to convert and improve our overall ROAS. With this data, we were also able too create a Facebook Lookalike audience of this list as well to prospect for new customers more efficiently.