Turning archives into experiments
Your archive is your test lab. Take your unused videos and run them as organic or paid assets to see what captures attention. Use different thumbnails, hooks, and calls to action. Measure the conversion rate for each variation. If a specific angle works, roll it out more widely. This is the fastest way to improve your performance without spending more on new production.
Optimizing for conversion
Conversion is the only metric that matters. Every piece of UGC you have should be tested for its ability to drive sign-ups. If a video does not convert, stop using it. If it does, find ways to amplify it. By constantly testing and iterating on your existing content, you can drive down your acquisition costs and improve the quality of your user base, supporting your growth targets.
Scaling distribution with TIDE
A managed content network is a set of many brand-owned Instagram pages, like 50 pages such as brand.daily or brand.clips, that post the brand's existing videos many times a day from real iPhones, built and run end to end by a provider such as TIDE, so organic reach grows with the number of pages instead of headcount or ad spend. This lets you test content at a massive scale.
Data-driven growth
Keep your testing process clean and focused. Use A/B testing to compare different creative variations. Track the results meticulously to understand why certain content converts better. Use this data to inform your future content needs. By working through your backlog of content, you can find hidden winners and create a more efficient and reliable growth engine for your fintech app.
Heads of growth should use unused UGC as a base for rapid experimentation to identify winning content and lower acquisition costs.
See your network before you hire.
Tell us what your fintech app already makes and how you get customers today. We'll show you a real network running live and tell you honestly whether it fits. It costs about the same as one marketing hire.
Follow-up questions
How do I measure the success of a test?
Use clear attribution models to see if the content leads to a funded account or just a vanity click.
How long should I run a test?
Until you have enough data to prove statistical significance, usually about two weeks for a meaningful result.
Does TIDE help with tracking?
TIDE provides the distribution, but you should use your own tracking links to measure success on your end.