{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Price Power","title":"14: Fix Activation Before Growth w/ Daphne Tideman","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/ffb0df87\"></iframe>","width":"100%","height":180,"duration":3000,"description":"Daphne Tideman, growth advisor and consultant for subscription apps, explains why most retention problems are actually activation problems, how to distinguish vanity activation metrics from ones that predict real retention, and why the aha moment should start in your ads, not just your product.\nDaphne walks through her evolution from treating activation as a simple funnel step to seeing it as a layered, behavioral process spanning the first 7 to 30 days. She shares real examples from growth audits where onboarding completion rates looked great but users vanished by day two, and breaks down the \"time to first value\" vs. \"time to core value\" framework for thinking about activation in stages. She also makes a case for monthly subscriptions as a faster learning tool for startups, and explains why revenue is a terrible North Star metric.\nWhat you'll learn:\nWhy onboarding completion is often a vanity metric that hides activation failures\nHow to identify whether your retention problem is actually an activation problem\nWhy \"any action vs. no action\" comparisons overstate the value of weak activation metrics\nHow to build mini aha moments into onboarding before the paywall\nHow to use the \"time to first value\" vs. \"time to core value\" framework\nWhy monthly subscriptions can help startups learn faster about activation\nHow to test whether an activation metric is predictive or just correlated\nWhen user interviews beat quantitative analysis for defining activation\nWhy extending onboarding can drop completion rates but improve retention\nHow to diagnose activation vs. retention vs. acquisition problems\nWhy revenue as a North Star metric leads teams to extract value instead of create it\nKey Takeaways:\nOnboarding completion is a vanity metric. An app had over 90% onboarding completion on both platforms, but most users were gone by day two. The onboarding was too short and easy to click through. When they extended it and built in value-delivering steps before the paywall, completion...","thumbnail_url":"https://img.transistorcdn.com/zQmNoGN5MuGeMOqTvMb2DuPbwhjQUVEJ-q54eTGsg0c/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zMDkx/MTljNmYxN2FkNGFm/NDIwOWMyNzU0MmQ1/M2ZjZC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}