Analytics tell you what happened. PreViral tells you what's next.

No. PreViral works before you publish. It scores video ideas at the concept stage and analyzes finished videos before you post them. Your analytics dashboard reports on published videos; PreViral predicts how an idea or a finished cut is likely to perform before anyone sees it. If you searched for a YouTube analytics tool, the honest answer is that PreViral will not replace your dashboard, and it is not trying to: analytics remain the best way to learn from what you already uploaded. What analytics cannot do is protect the hours you spend on the next video, because they are silent until after the upload. That earlier moment is where PreViral operates, scoring the concept, the script, the finished cut, and the thumbnail while every single one of them can still be changed quickly and cheaply.

PreViral Analysis reviews your finished video before you upload it and returns a 0 to 100 score with timestamped fixes. Video analytics report on a video after it is public. Think of Analysis as pre-publish quality control and analytics as post-publish reporting. The two answer different questions at different moments: analytics tell you what your audience did, which retention dips happened, and how a video compares to your channel history, all of it after the fact. Analysis tells you what is likely to happen and points to the exact seconds that help or hurt retention while you can still re-cut them. Short Analysis covers clips up to 90 seconds for Reels, Shorts, and TikToks; Long Analysis handles videos up to 30 minutes with deeper framework breakdowns. Used in sequence, you fix the cut first and then let analytics confirm the result.

Yes, and that is the intended setup. Use PreViral to choose and refine the idea, then publish and read your dashboard as usual. The two cover different stages, so nothing overlaps: prediction before the upload, reporting after it. In practice the combination becomes a loop that compounds over time. You score several concepts, film the strongest, run the finished cut through Analysis, and publish. Your dashboard then shows what actually happened, and the public track record lets you compare our prediction against the real outcome, misses included. Each cycle teaches you something about your niche that makes the next idea stronger, and none of it requires switching tools mid-workflow or granting PreViral access to your channel data. Creators who already pay for an analytics suite lose nothing: the prediction layer simply fills the gap their dashboard leaves open.

PreViral scores your idea against the patterns behind videos in your niche, platform, and country, drawn from 8,700 analyzed contexts. The score is a probability signal about the concept itself, not a guarantee, and it works even if your channel is brand new. That independence from channel history is deliberate: what makes a hook land or a premise feel crowded is a property of the content and the audience, not of your subscriber count. The engine was built on more than 2,500 hours of research into what travels and what flops across 58 niches, 5 platforms, and 30 countries, and its reference patterns are refreshed so predictions track the current meta rather than last year's. For a new channel this is the practical advantage: you get niche-calibrated feedback from the first idea, long before a dashboard has anything to show.

YouTube long form, YouTube Shorts, TikTok, Instagram Reels, and Facebook Reels. Analytics differ on every one of them, and so do the viral patterns, so PreViral tailors each prediction to the platform, niche, and country you select. The differences are bigger than most dashboards make visible: Shorts live or die in the first two seconds, long-form YouTube rewards a promise that survives the mid-roll, and TikTok pacing rules would sink an Instagram Reel aimed at an older audience. Because of that, the same concept can be worth filming on one platform and not on another, which is exactly what a per-platform score makes visible before you commit to an edit. If you repurpose content across platforms, score the idea once per target platform and let the spread of results decide where the video runs first.