CAse study
Bearaby
Bearaby is a DTC seller of award-winning weighted blankets that promote better sleep, made entirely from sustainable fibers. Bearaby's weighted blankets became one of the must-have home comforts during Covid times.
But with the impact of iOS 14.5, paid media performance had taken a bit of a hit. Bearaby turned to no-code ML platform Black Crow AI to give retargeting and prospecting a boost.
But with the impact of iOS 14.5, paid media performance had taken a bit of a hit. Bearaby turned to no-code ML platform Black Crow AI to give retargeting and prospecting a boost.
+120%
Increase in ROAS
100%
Increase in sales from retargeting ads
the challenge
Bearaby was faced with having to manually re-target audiences, proving inefficient due to limited insights. Not only that, but they had a goal to scale their existing business rapidly and intelligently. Deriving accurate customer behavior and doing so in a way that would help them exceed their business goals seemed like an impossible task. That’s where Black Crow AI comes in.
the solution
Bearaby installed Black Crow AI’s plug-and-play platform into its website to develop a custom machine learning model that will give its marketing team real-time predictions about its site visitors. The marketing team took these predictions and created custom audiences on Facebook, Google, and Snapchat to target the brand’s retargeting ad campaign.
the results
After 30 days, Bearaby saw:
- 100% increase in conversions from retargeting ads (Facebook, Google Search and Snapchat)
- 120% increase in return on as spend (ROAS)
150+ DTC merchants already use Black Crow AI to step-change performance:
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