Follower count and view count can't tell you whether a creator's audience actually buys — but their comment section can. Two creators with similar reach can have completely different commercial value: one's comments are full of "where do I buy this", the other's are dead. If you're paying creators or picking affiliates, ranking them by the buying intent in their comments beats ranking them by size every time. Here's how brands vet TikTok creators by comment intent, catch conversion leaks, and avoid low-signal partners with the Asgard TikTok API.
Quick answer
- The problem: reach metrics (followers, views) don't measure whether an audience buys.
- The better signal: score each creator by the buying intent in their comments (where-to-buy, urgency, sourcing).
- Watch for conversion leaks: high-intent audiences wasted because the creator doesn't link products or respond.
- Mind the sample size: too few comments = not enough signal; don't trust a score built on 12 comments.
- How: pull comments per creator via the TikTok comments endpoint and rank by intent, not size.
Why a creator's comment section is the real audit
- Views measure attention, comments measure intent. A creator can pull 145K views and still have an audience that wants to buy — or one that just scrolls.
- Intent is creator-specific. The same product does numbers with one creator and nothing with another, because the audience's buying behavior differs.
- It's a pre-partnership test. Before you pay anyone, their existing comments tell you whether their followers convert.
- It scales to a shortlist. Score dozens of creators and rank them — an intent leaderboard instead of a follower spreadsheet.
How to score and rank a creator
For each creator, pull their recent product videos, analyze the comments, and roll them into a single buying-intent score (e.g. 7.2/10) built from:
- Where to buy / link. Volume of "where did you get this" comments — the clearest demand from their audience.
- Purchase urgency. "will be purchasing soon", "it's gonna be an add-to-cart kinda evening" — ready-to-buy emotion.
- Product sourcing. Specific product questions ("where's the no-scrub mold remover?") show real intent to act.
- Engagement quality. Are comments about buying, or just vibes? The ratio is the score.
Takeaway: ranking creators by this score surfaces the partners whose audiences actually spend — regardless of who has more followers.
Conversion leaks: the expensive mistake to catch
The worst outcome isn't a low-intent creator — it's a high-intent creator leaking it. When an audience is begging to buy but the creator never links the product or responds to comments, that demand evaporates. A comment like "Don't bother watching, she only replies hearts" is a flashing warning sign.
- Detect the leak. High where-to-buy volume + no product links + no creator replies = active conversion leak.
- Quantify the waste. Count the unanswered sourcing comments to see how much demand is going nowhere.
- Turn it into an opportunity. A leaking creator is a perfect partner — bring the links and affiliate setup they're missing and capture the demand.
- Fix your own leaks. Run the same check on your brand's videos: are you the creator ignoring "where to buy"?
Don't trust low-signal scores
A score is only as good as the sample behind it. A creator with 66K views but just 12 comments doesn't give enough signal for a reliable read — a single enthusiastic comment shouldn't earn a partnership. Good analysis flags this instead of pretending the number is solid.
- Set a comment-volume floor. Below a threshold, mark the score "low confidence" and skip or revisit later.
- Weight by volume. 106 comments of intent is a real signal; 12 is a coin flip.
- Revisit as engagement grows. A promising creator with thin data today may be scoreable next month.
How to do it at scale with Asgard
- Gather creators & videos. Use the profile, hashtag, and search endpoints to collect candidate creators and their recent product content.
- Pull the comments. Call the comments endpoint for each video to get text, likes, and reply counts.
- Score intent per creator. Classify where-to-buy, urgency, and sourcing comments and compute a buying-intent score, with a confidence flag based on volume.
- Flag conversion leaks. Detect high-intent audiences with no product links or creator replies.
- Rank and act. Build an intent leaderboard and pick partners by audience buying behavior, not follower count.
Frequently asked questions
How do I know if a TikTok creator's audience actually buys? Analyze their comment section for buying intent — where-to-buy, urgency, and sourcing comments. Score and rank creators by that intent with the Asgard TikTok API instead of relying on follower or view counts.
What is a conversion leak? When a creator's audience is high-intent (lots of "where to buy" comments) but the creator never links the product or responds, so the demand is wasted. It's detectable — and a prime partnership opportunity to fix.
How many comments do I need for a reliable score? Enough to be a real sample — a video with 12 comments is too thin to trust. Set a volume floor and treat low-volume scores as low confidence.
Should I pick creators by follower count? No. Two creators with similar reach can convert very differently. Rank by the buying intent in their comments to find the ones whose audiences spend.
Related reading
- Stop chasing viral views — rank TikTok videos by buying intent
- Every "where can I buy this?" TikTok comment is a lost sale
- What TikTok comment sections tell brands about buying intent
Rank creators by who actually converts:
☞ Asgard TikTok API · docs at asgardata.com