500K+ New Organic Users Every Month
Project Overview
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Role: Senior Product Manager (Packaging, Billing and Support team)
Company: Philo (Live TV Streaming Service)
Scope: Integrate FAST (Free Ad-Supported Streaming TV) into our current product
Team: 1 backend engineer, 1 frontend engineer, 1 data analyst, expanded cross-functional team later
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​Background
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Our company already had FAST channels in our content lineup, but it wasn’t accessible as a true free entry point for users. I was tasked to answer a high-stakes question:
| Can we use FAST as a free acquisition lever without cannibalizing our paid subscription business?
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Key Questions
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1. Will introducing FAST more prominently cannibalize our paid product?
2. Can FAST be used as a low-friction acquisition and reactivation lever?
3. How do we safely test this without risking core subscription revenue?
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Hypothesis
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If we offer a curated FAST experience as a re-entry point for users who are reactivating, then we will:
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Increase reactivations
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Generate additional ad revenue
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And convert a meaningful portion of these users into paid subscribers
…without cannibalizing our existing paid user base.
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Approach
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Start with Reactivation Flow on Web
We deliberately started on web (direct billing) with a small, controlled test where risk was lowest and iteration was fastest.
Experiment:
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Target: Deactivated subscribers
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Design: A/B test
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Control: Standard reactivation flow (paid-only path)
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Variant: Reactivation flow that offers FAST as a free option alongside the paid reactivation path
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Metrics monitored:
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Reactivation rate (users who resume a paid subscription)
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Any payment events
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Ad revenue
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Behavior of users who entered via FAST:
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How many later upgraded to paid?
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Time-to-upgrade after entering FAST
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Key Discovery
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To our surprise, the results were not cannibalizing at all — they were additive.
We observed that:
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More users reactivated overall in the variant with FAST offer.
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Users who entered through FAST:
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Engaged with content, generated ad revenue, and
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A meaningful percentage upgraded to the paid product shortly after.
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The “free first” approach essentially:
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Reduced friction
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Rebuilt trust with users
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Increased ad revenue
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Iterations & Expanded Testing
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With the initial hypothesis validated and no signs of cannibalization, we expanded our testing:
1. New Entry Points & Cohorts
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We began to test FAST:
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In different areas of the product experience
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With different user cohorts​
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We continued to monitor:
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Subscription conversions
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Retention
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Ad revenue
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Cannibalization
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2. External Billers
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Our product supports external billers / platforms.
We tested FAST experiences across:
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Different billers
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Different platforms
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Different user cohorts
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The goal was to ensure:
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The positive behavior we saw on web was consistent
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No specific partner or platform exhibited unexpected cannibalization or negative revenue impact
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Once we had data-backed confidence that FAST was:
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Not cannibalizing paid subscriptions, and
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Actually creating a positive combined revenue effect (ad + subscription)
…we secured buy-in to staff a larger cross-functional team to turn this into a scalable, polished experience.
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Universal Search & Distribution
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The next major unlock came from distribution via universal search across major streaming platforms.
Integrating FAST into Universal Search
We integrated FAST content so that it appears in platform-level search results, such as Roku universal search.​
This meant that when users searched for content on their devices, our FAST content could appear as a free way to start watching immediately.
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Why this matters:
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These are high-intent users already searching for content.
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We could acquire users without incremental advertising cost​
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Results
After rolling out FAST through universal search and scaling our experience:
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We achieved 500K+ new organic users every month
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No additional advertising spend to acquire them
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These users:
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Drove meaningful ad revenue
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Upgraded to paid experience
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We preserved the health of our core subscription product, and in many cases:
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Improved overall monetization per user when combining ad + subscription revenue
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