Revamping Facebook Ad Strategy with Behavior-Based Targeting 35-65 year-old demographic broadened to include behavior-based audience segments.
A Leading Design Brand, a preferred client of Facebook, sought a more efficient use of their ad spend on the platform. Sherlock AI stepped in with a unique strategy: utilizing 7 diverse data sets, we shifted the brand’s focus from demographic-based targeting to behavior-based targeting. The result? A significant increase in ad efficiency.
5 Million
Anonymized Users
5
Data Stacks Utilized
2 Weeks
to the first output
The Challenge: The OTT platform was incurring high acquisition costs, often exceeding the annual subscription revenue. This approach was unsustainable and inefficient. They needed a new strategy to acquire valuable customers without incurring such high costs.
The Outcome: SherlockAI applied a blend of diverse data – app usage, socio-economic data, social media behavior, and entertainment preferences – to identify a more appropriate audience segment for the platform’s marketing efforts. This resulted in a much ‘smaller fishing pond,’ but one that was far more likely to convert into paying subscribers. Ultimately, SherlockAI’s approach achieved a cost per acquisition for new OTT subscriptions that was 75% lower than the target set by the client. This massive cost reduction showcased the power of an effective, data-driven acquisition strategy.
