In-Store Lift Studies Result In Confident Digital Spending
AI Data-Modeling Powered $0 to $40MM Valuation Growth

Monkedia worked with Circle, a technology company innovating within the parental controls sector, to implement advanced pixel segmentation in order to accurately measure in-store sell-through within 3rd party retailers. Through the optimization of video ad creative and web psychology, in conjunction AI data-modeling of consumer demand to adjust ad spend during the year for optimal spending, Monkedia was able to help Circle grow from a $0 to $40MM valuation during our time working together.
$40MM
Valuation at Exit
160MM
Impressions
1.2MM
Conversions

The Story

When Monkedia first started working with Circle, they were an innovative tech startup with very few sales. Fast forward to 18 months later and they had a $40MM valuation. Monkedia was able to help Circle achieve this remarkable growth by implementing advanced pixel segmentation that allowed us to accurately measure in-store sell-through within the 3rd party retailers where their product was available for purchase. We were then able to map differences in audience makeup per store while running lift studies that allowed for the brand to confidently spend at predictable returns in order to meet sales quotas.

Additionally, Monkedia AI data-modeled consumer demand to automatically adjust ad spend during the peak times of year for optimal spending that enabled maximum ROI.

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