Proprietary neural networks improve Philo’s CTR by 172% and conversion efficiency by 10x.

Influencer

Over the course of the campaign our proprietary neural networks improved Philo’s CTRs by 172%. The result was an increased conversion efficiency of 10x.

Objective

Philo desired to drive subscriptions to their streaming television service by leveraging influencers to spread the word.

Solution

We activated 74 sponsored pieces of content in a six month time span while running influencers through our AI model to find the influencers that drove the highest click-through-rates (CTRs). 

Results

Over the course of the campaign our proprietary neural networks improved client CTRs by 172%.  The higher CTR allowed us to reduce the number of views it took for Philo to acquire subscriptions by 1000%, delivering a lower cost per subscription to the client.

This resulted in Philo increasing their subscription conversion efficiency by nearly 10x. 

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