Track Your TikTok Brand Collab Video's Performance

A brand collaboration is the most expensive single asset in most influencer programs, and the worst measured. The creator posts, you screenshot the view count a few days later, and the "report" is one number with no shape: no velocity, no sentiment, no idea whether the people in the comments wanted to buy or wanted to dunk. By the time the campaign wrap-up lands, the window to act on the post is gone.

KOLens tracks the video, not just the creator. Here is how to instrument your own sponsored post so the ROI question has a real answer.

Put your sponsored post on the tracker

1. 1

   Paste the post URL

   Open Video Tracking and paste the TikTok link your creator sent you, e.g. https://www.tiktok.com/@creator/video/762608….
2. 2

   Tag it 'own'

   Mark the video own. This files it under your collaborations and unlocks the own-vs-competitor comparison later.
3. 3

   Set the cadence — tighter for launches

   Default refresh is every 24 hours. For a launch day or a post you expect to spike, drop it to hourly so the velocity curve has resolution when it matters. You can also pin the language and region you care about.
4. 4

   Add buyer-intent keywords

   In the comment alert keywords box, keep the built-in purchase-intent set and add your product or brand names. New comments that match fire an alert to your channel.

Velocity beats vanity

The number your creator screenshots is the total view count, which only ever goes up. KOLens derives the metrics that actually describe a launch:

• Views-per-hour velocity — the average growth rate across the tracked span. This is the difference between "still climbing" and "peaked on day one."
• 7-day and 30-day deltas — acceleration, not just totals, so you can tell a slow burn from a flash in the pan.
• Engagement rate per snapshot — likes + comments + shares + saves over views, recomputed each capture so you see whether engagement is keeping pace with reach.

Did it land? Read the comments, not the count

A technically successful post — good views — with a hostile comment section is a brand-fit problem you want to catch in hours, not at the wrap-up. KOLens harvests the actual top-level comments, classifies each positive / neutral / negative, and shows the distribution as a bar with a net-sentiment score and the top comments by likes.

The sharper signal is buyer intent. When a viewer comments "where to buy", "drop the link", or names your product, that is a warm lead sitting in public. KOLens' comment keyword alerts catch those the moment they post and route them to your alert channel (email, webhook, or in-app), with every trigger logged in the alert feed so nothing slips.

An AI verdict on the post

One click generates an AI summary of the video: what it's about, the content themes, a quality verdict, and a buyer-intent read — written in your current interface language. It's the 10-second answer to "should we whitelist this and put spend behind it, or was this creator a one-off?"

Who actually saw it

TikTok doesn't publish per-video viewer demographics, so KOLens approximates the audience from the creator's own audience profile and labels it plainly as an author-level approximation. If you've run an audience snapshot on the creator it uses that real follower sample. It's the gut-check on whether the post reached the buyers you paid to reach.