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View Pulse
AI powered YouTube analytics to boost video retention.
8 followers
AI powered YouTube analytics to boost video retention.
8 followers
Stop guessing why viewers drop off. ViewPulse AI automatically analyzes your YouTube video retention graphs and pacing to give you exact, actionable editing feedback. Know precisely when to change the music, adjust the hooks, or fix your pacing to keep people watching longer. Built for creators and video editors who want to maximize their audience retention and skyrocket their channel growth without wasting hours in manual analysis.
@marcelo_coelho1 Hey Marcelo, thank you so much for the kind words! Really glad you like the actionable recommendations format.
To answer your question: ViewPulse actually utilizes both, depending on how you want to use it!
Actual Content (Transcript & Pacing): If you simply paste a video link, we analyze the transcript and video structure to pinpoint pacing issues, slow sections, or repetitive patterns based on the content itself.
YouTube Retention Data: If you connect your YouTube channel, we pull the actual audience retention graph metrics directly from your YouTube Analytics. This allows us to map the exact retention drops on your timeline and explain the "why" behind those drops using the transcript context.
(Quick heads-up: Since we are currently waiting for Google to finish our official OAuth verification review, you might encounter a "This app isn't verified" warning screen when trying to connect your channel. You can safely bypass this by clicking "Advanced" -> "Go to viewpulseai.com", or you can just test the tool by pasting any video link first!)
Let me know if you have any other questions or feedback as you explore the tool!
@marcelo_coelho1 Right now, ViewPulse analyzes the overall audience retention curve to pinpoint general pacing and engagement issues across your entire viewer base.
However, segmenting that retention data by specific attributes like whether they are watching on mobile vs. desktop, or if they found your video via YouTube Search vs. Suggested Videos is a brilliant idea. Knowing if a high-energy transition lands perfectly with mobile viewers but alienates search traffic would be a complete game-changer for content strategy.
Since we pull the retention metrics directly from the YouTube Analytics API, expanding our processing pipeline to filter by these demographic and device segments is definitely feasible. I'm adding this straight to our product roadmap for the next updates!
Out of curiosity, which of these attributes (like device types, traffic sources, or age groups) do you find yourself analyzing the most in your own YouTube Studio? I’d love to build this feature with your actual workflow in mind.
@hakanw @marcelo_coelho1 That is a brilliant paradigm shift, Marcelo!
I absolutely love how you distinguished between a "content question" and an "audience question." It’s one thing to say "this specific hook is too slow," but it’s a whole different level of value to say "this hook is losing the exact target audience you are trying to reach."
Giving creators the flexibility to define their target profile or optimization goal before running the analysis would make the AI's recommendations infinitely more robust. For instance, editing advice for a search-driven viewer looking for a fast tutorial should be completely different from advice for a suggested-video viewer looking for entertainment.
You’ve given me some incredible food for thought for our next dev cycles. Thank you so much for taking the time to share these insights it honestly means a lot on a hectic launch day like today
finally something that points out exact timestamps where i lose viewers instead of me squinting at the graph for an hour. the pacing tips actually lined up with what i was already feeling was off
@parkpiper66988 Hey Piper, thank you so much! Squinting at those tiny retention graphs in YouTube Studio is honestly a nightmare, so I’m glad we could save you some eye strain.
It’s awesome to hear that the pacing tips lined up with your intuition. Sometimes you just feel a scene is dragging, but having the exact data to back it up makes editing so much faster.
Good luck with your next video edit!