How to vet a YouTuber before signing a sponsorship deal
You're an advertiser with 5,000 € to spend on a sponsored YouTube video. A creator gets recommended, you check their subscriber count, their recent videos, and… that's it. You sign.
Three months later, the video has 60k views instead of the expected 300k. ROI is catastrophic. The creator wasn't dishonest, they just had a bad period, or their audience shifted, or they posted at the wrong time. But you, you lost 5,000 €.
Scouting is the step too often skipped, and it makes the difference between a successful campaign and a failed one. Here's the 8-point checklist I use, and that Tubify automates most of.
The 8-point checklist
1Median views, not average views
Beginner trap #1: look at the average. A creator with 10 videos at 100k and 1 viral at 5M will have a 545k mean but a 100k median. The median represents the creator's typical video, that's what you negotiate on.
Tool: pull the last 20-30 videos, sort by views, take the middle one. Or use something that does it for you: Tubify computes the 24-month median automatically.
26-month trend
Is the creator growing or declining? Compare median views over the last 6 months vs the previous 6. If the trend is down more than -20 %, either YouTube's algorithm is penalizing them or the audience is drifting. Both are bad signs for your campaign.
Conversely, a creator up +30 % tends to over-perform because YouTube boosts rising channels.
3Real engagement rate
Formula: (likes + comments) ÷ views × 100. YouTube average is around 4 %. A creator at 8-10 % has a hyper-loyal audience that converts better. A creator at 1-2 % often has bought views or talks to a disengaged audience.
Sanity check: read the comments on the last 5 videos. Is there real discussion, or just "first!" and emojis? Surface engagement fools tools, comment content doesn't.
4Niche coherence
Does the creator publish in a coherent niche, or jump between 5 different topics? A channel switching between gaming, personal vlogs and cooking tutorials has a scattered audience. Your sponsored video might reach 100k people but with weak buying intent.
Ideal: 80 % of the last 20 videos in the same theme.
5Audience geography
Ask the creator for YouTube Studio "audience by country" stats. Many channels have 30-40 % of audience outside their main market. Depending on your product, that audience has very different commercial value.
Example: if you sell a monthly box delivered only in the UK, paying for 100k views where 40 % is in regions you don't ship to means paying 40 % for nothing.
6Shorts vs long-form ratio
If the channel has 70 % Shorts in published videos, its overall "median views" are misleading: Shorts generate 5-10x more views than long-form but convert 10x less. For an integration sponsorship, what matters is the median of long-form videos.
Tubify automatically excludes Shorts (≤3 min) from the median.
7Publishing cadence
A creator publishing 1 video per month gets less algorithmic favor than one publishing weekly. Your sponsored video will receive less initial boost.
Check cadence over the last 6 months. If you see a 2-3 month gap, that's a signal: the creator may have burned out, switched careers, or is back from a long break. Discuss it before signing.
8Past sponsorship history
In their last 20 videos, find the sponsored ones (often flagged in the description or with a timestamp). Which brands? Which sectors? Does the tone feel authentic or robotic?
If the creator has sponsored a direct competitor in the last 3 months, it's a no. If all their sponsorships are finance/crypto and you sell HR software, ask yourself whether their audience will get the integration.
The 2-minute scout report
Concretely, here's what an efficient scout looks like:
- Channel URL as input
- 24 months of stats pulled automatically
- Median views on long-form only
- 12m vs previous 12m evolution (+/-%)
- Top 3 / Bottom 3 videos
- Estimated rate range (median × market CPM)
- Comparison with 2-3 other creators in the same niche
All of that takes 15 minutes by hand if you're methodical. With a tool, 10 seconds.
Absolute red flags
Three signals that should always mean no, even if the rate looks attractive:
- Bought views detected: unusually low comments-to-views ratio (< 0.05 %), sudden view spikes without matching viral content. If the creator paid for bot views, your integration reaches zero humans.
- Toxic community: comments predominantly negative, sectarian or conspiratorial. Your brand doesn't want to be associated. Read the last 50 comments.
- Strongly divisive political content in recent videos: risk of associating a mass-market brand with a creator taking strong public positions.
Scout a creator in 10 seconds
Paste a YouTube channel URL into Tubify: we pull 24 months of stats, compute the median on long-form (Shorts excluded), compare the last 6 months to the previous 6, and give you an estimated rate range. Add it to favorites to track it over time without rescanning.
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