Case Study: Bedrop reduces CPA by up to 76% and boosts ROAS by 297% with MGID

Bedrop cuts CPA by up to 76% and boosts ROAS by 297% with MGID

Bedrop, a direct-to-consumer brand specializing in natural bee-based wellness products, aimed to increase purchases while keeping cost per acquisition (CPA) low and improving return on ad spend (ROAS). Their key challenge was aligning the last-click conversion data from vendor MGID with their own first-click attribution model to ensure optimization decisions matched actual business outcomes.

MGID implemented a data-driven optimization strategy using their CPA Tune AI-powered bidding algorithm. They conducted continuous creative refreshes and weekly comparisons with the client's attribution data to exclude underperforming sources and scale budgets on top performers. This solution enabled Bedrop to reduce CPA by up to 76% and boost ROAS by up to 297%, allowing them to confidently scale their advertising investment while maintaining profitability.

Bedrop