How it works
Kalibratr measures seven observable conversion signals in your video — each one grounded in what actually affects TikTok performance. Here's exactly what happens when you upload a draft.
Drop your video before you hit post. No account needed for your first audit.
Formats
MP4, MOV, WebM — up to 500 MB
Select your niche
Beauty, gadgets, fashion, food, fitness, and more — your score is benchmarked against your category
Processing time
Around 30 seconds for a standard TikTok-length video
Your file
Processed in memory to extract signals, then discarded. Not stored long-term.
Not generic AI opinions. A defined rubric of observable, conversion-relevant signals — each weighted by impact.
What we analyze
Hook timing, product visibility, problem/solution structure, demo presence, pacing, CTA clarity, and niche fit
How it works
Frame extraction, scene cut detection, transcript analysis, caption parsing, and niche benchmark comparison
What we don't do
Guess. Every signal is grounded in something observable in your actual video file.
Niche benchmarks
Your score is compared against real audited videos in your category — not an average across all content types
Not a vague report. A diagnostic with a score, a clear verdict, and ranked, actionable improvements.
Your score
0–100 across all seven signals, with a breakdown by category
Top fixes
Ranked by impact — the highest-leverage changes first, not an alphabetical list
Hook rewrites
Suggested alternative opening lines based on what works in your niche
Verdict
'Post it,' 'fix these first,' or 'remake the opening' — a clear recommendation, not a wall of text
The rubric
Every signal is weighted by how much it actually moves the needle. Hook and demo together account for 40 points — because they're the two biggest conversion levers on TikTok.
Hook Strength
pts
What we measure
We detect when meaningful visual action begins — a face, product, or motion that demands attention.
Why it matters
Hooks that land in the first 1–2 seconds retain 2× more viewers. Every second of delay costs scroll-stops.
We look at
Product Clarity
pts
What we measure
We track when your product first appears on screen and whether it's clearly identifiable without sound.
Why it matters
60% of TikTok is watched on mute. If the product isn't obvious from the visuals alone, you're losing half your audience before they hear a word.
We look at
Problem / Solution
pts
What we measure
Transcript and on-screen text analysis to detect whether a problem is stated and whether the product resolves it.
Why it matters
The strongest TikTok commerce videos follow a problem-first structure. Stating the pain before the solution increases perceived relevance.
We look at
Demo & Proof
pts
What we measure
Scene change detection to identify demonstration moments — before/afters, results, application, or transformation.
Why it matters
Showing beats telling. Videos with a visible result or demo moment convert at significantly higher rates than explanation-only content.
We look at
Pacing
pts
What we measure
Frame-by-frame scene cut analysis measuring whether your edit rhythm matches what performs in your niche.
Why it matters
Too slow and viewers tap out. Too fast and the message is lost. Optimal pacing varies significantly by category — beauty vs. gadgets vs. food each have different rhythms.
We look at
Offer & CTA
pts
What we measure
Caption and transcript scan for CTA language, offer clarity, urgency, and a clear next step.
Why it matters
Viewers who want to act shouldn't have to guess how. A missing or vague CTA is one of the most common — and most fixable — conversion killers.
We look at
Niche Fit
pts
What we measure
Your score is compared against benchmarks from your selected content category, not a one-size-fits-all average.
Why it matters
A skincare video and a gadget demo follow completely different rules. Generic benchmarks produce meaningless scores. Niche benchmarks produce useful ones.
We look at
How benchmarks work
Generic benchmarks produce useless scores. A skincare video and a kitchen gadget demo don't follow the same rules — so we don't score them the same way.
Every video audited through Kalibratr contributes to niche-specific benchmarks. When creators in your category opt in to share post-publish performance — views, completion rate, saves — we use that signal to calibrate which patterns actually correlate with real results.
The more creators audit in a given niche, the sharper the benchmarks become. Your score today is already niche-specific. Over time, it gets more precise.
Niche-specific from day one
Your score is benchmarked against your content category — beauty, gadgets, fashion, food, fitness, and more. Not a one-size-fits-all average.
Outcome data sharpens the model
Creators who opt in to share performance after posting give us real feedback on which signals predicted views, saves, and follows — and which didn't.
You stay in control
Sharing post-publish performance is always opt-in. Your video file is never stored long-term. Outcome data is aggregated, not tied to your content.
The benchmark improves with use
The more creators audit in a niche, the tighter the benchmark range becomes. Early users in a niche directly shape the scoring model for that category.
Upload a draft, select your niche, and get a full diagnostic in 30 seconds. Free — no card required.
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