AI Coach App User Acquisition
Budget: $8 – $15 USD
I’m ready to bring our new subscription-based AI coaching app in front of English-speaking users in the United States and I need a growth partner who can own the full user-acquisition workflow, starting with paid campaigns on X and later expanding to other major social networks.
The first campaigns must spotlight our AI guided conversations and position them as a fast track to real-world skill development. The core segment we want to win is 25- to 34-year-olds who already spend time on X and are open to trying a free trial that unlocks every coach and training module.
Here’s what I expect from you:
• Map the target personas in detail (interests, language, creative angles) and translate those insights into at least three testable acquisition hypotheses.
• Build and launch the initial ad sets on X—copy, visual direction, and tracking included—optimised for trial starts and, ultimately, subscription conversion.
• Configure event tracking and attribution (Twitter Pixel, GA4, or your preferred stack) so we can measure cost-per-trial, cost-per-subscriber, and retention.
• Run A/B tests on creative, headlines, and calls-to-action; refine based on data until we reach statistically significant learnings.
• Deliver clear reports that tell me what worked, what didn’t, and the next experiments to run.
Acceptance criteria: live campaigns on X forwarding to our App Store page, functioning analytics with verified events, and a summary deck of test results and recommended next steps.
If you have a track record scaling subscription apps, know the nuances of the U.S. market, and can move fast on hypothesis-driven testing, let’s talk.
The first campaigns must spotlight our AI guided conversations and position them as a fast track to real-world skill development. The core segment we want to win is 25- to 34-year-olds who already spend time on X and are open to trying a free trial that unlocks every coach and training module.
Here’s what I expect from you:
• Map the target personas in detail (interests, language, creative angles) and translate those insights into at least three testable acquisition hypotheses.
• Build and launch the initial ad sets on X—copy, visual direction, and tracking included—optimised for trial starts and, ultimately, subscription conversion.
• Configure event tracking and attribution (Twitter Pixel, GA4, or your preferred stack) so we can measure cost-per-trial, cost-per-subscriber, and retention.
• Run A/B tests on creative, headlines, and calls-to-action; refine based on data until we reach statistically significant learnings.
• Deliver clear reports that tell me what worked, what didn’t, and the next experiments to run.
Acceptance criteria: live campaigns on X forwarding to our App Store page, functioning analytics with verified events, and a summary deck of test results and recommended next steps.
If you have a track record scaling subscription apps, know the nuances of the U.S. market, and can move fast on hypothesis-driven testing, let’s talk.
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