You can vet an influencer in 48 hours by splitting it in two: day one is desk research (audience fit, comment quality, engagement against a baseline) and day two is a small tracked test with a unique link or code. Decide on day two, not before, and never on follower count.
Sales are predicted by what the audience does with a creator's posts, not by how many people follow them.
TLDR: Day one: check audience fit, comment quality and engagement rate, and ask for past analytics screenshots. Day two: run a small tracked test with a unique link or code. Commit budget only if clicks and replies look like real buyers.
Day one: five checks from your desk
| Check | What to look at | Red flag |
|---|---|---|
| 1. Audience fit | The creator's audience location and age, which you can ask them to share | Most followers live where you do not sell |
| 2. Comment quality | Read the last 10 posts' comments | Generic emoji, repeated phrases, or comments unrelated to the post |
| 3. Engagement rate vs baseline | Likes plus comments divided by followers, on recent posts | Far below the normal range, or suspiciously identical across posts |
| 4. Past campaign proof | Ask for analytics screenshots from the last two sponsored posts | They cannot or will not share any |
| 5. Fit with your product | Do they already talk about things your customers care about? | Sponsored posts for unrelated brands every week |
For check 3, use a realistic baseline. In Mydrop's September 2026 data on 336 accounts, the median Instagram post earned a 3.1% engagement rate and TikTok 3.0%. The middle half of Instagram posts ran from 1.1% to 6.7%. A creator inside that range is normal. One far below it deserves a question.
If something feels off, run the quick checks in our guide to spotting fake influencer followers before you go further.
Day two: a small tracked test
Desk research can only tell you the audience looks right. A test tells you whether it buys.
Ask the creator for one story or post, and give them:
- A unique link (a link-in-bio page per creator works well, so clicks are theirs alone)
- A unique discount code, if you sell directly
- A fixed time window, such as 24 hours, so you can compare clicks to the same window the week before
Keep the first deal small. You are buying information, not reach.
Day two checks: what to read from the results
| Signal | What it suggests |
|---|---|
| Link clicks in the first 24 hours | The audience trusts the creator enough to act |
| Code redemptions | Real purchase intent, the closest thing to a sales prediction |
| Saves and shares on the post | The content mattered beyond a tap |
| Comments asking about price, sizing or availability | Buyer questions, not fan reactions |
| Lots of likes, no clicks, no questions | An audience that watches but does not buy |
Rank them in this order. Likes come last because they are the cheapest action.
The decision gate
At hour 48, ask three questions:
- Did clicks or redemptions arrive at a level that would pay back a larger fee? You decide the level; write it down before the test starts, so you are not rationalizing afterwards.
- Did the audience ask buyer questions?
- Did the creator hit the brief, on time, without chasing?
Three yes answers mean a bigger deal. Two means a second small test. One or none means move on, and you spent very little finding that out. For pricing the bigger deal, see how much to pay influencers.
Track it in one place
Keep every creator's link and result in one sheet or dashboard, so that after a few tests you can compare creators on cost per click and per redemption. Mydrop's link-in-bio pages can give each creator their own trackable link, and the analytics show how the posts you run yourself perform around the same dates.
If the test goes well and you want a longer run, our 30-day sales prediction test is the next step.
Next step: pick two creators you are considering, run the five day-one checks on each tonight, and send the shortlist winner a request for a tracked test tomorrow.
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