YouTube intelligence for brands: buy sponsorships on evidence
See which channels your competitors sponsor, whether a creator's numbers are real or one viral fluke, and which rising channels are still cheap, before you sign.
Used by partnership, influencer, and brand teams
What is YouTube intelligence for brands?
YouTube intelligence for brands means using public YouTube data to make sponsorship decisions with evidence. It answers the three questions every deal hinges on: where are my competitors spending, are this creator's numbers real and current, and does this audience actually match my buyer?
The difference from an influencer platform is simple: platforms show you what creators say about themselves. OutlierKit shows you what the public performance data says about them.
The sponsorship information gap
Sponsorships are bought on uneven information. The creator knows their real numbers; you get a media kit. Average views can be propped up by one viral video from eight months ago. Subscriber counts say nothing about who still watches.
Meanwhile, your competitors' creator strategy sits in plain view on YouTube: who they sponsor, and which categories they've filled. Nobody looks at it, because collecting it by hand takes weeks.
OutlierKit closes both gaps in one scan.
How brand teams use OutlierKit
Four workflows, from competitor sponsor mapping to pre-signature vetting.
See the sponsorship map of your category
- Find out which channels in your niche run paid promotions, and which brands pay for them
- See where competitors put their creator budget instead of guessing
- Spot channels whose sponsored videos still perform well. That's proof the audience accepts promotion
- Find the categories competitors have crowded, and the nearby ones they've missed
Check the numbers before you sign
- See whether a channel's growth is steady, or one viral video is propping up the average
- Compare recent videos to the channel's normal numbers. That's the honest read on momentum
- Check who the audience really is, so it matches your buyer
- Read the comments as a brand-safety check on the community
Find partners your competitors haven't
- Scan a niche once and see every relevant channel, including rising creators no database lists yet
- Rank channels by momentum, not subscriber counts
- Catch breakout creators while their rates are still low
- Build a shortlist with performance data attached, ready for outreach
Know who owns your buyers' watch time
- See which channels get your category's attention, and how that shifts over time
- Compare your competitors' own channels against the niche average
- Learn which content formats work in your category before briefing branded content
- Track the channels you've partnered with (up to 50+ on the Max plan)
The modules partnership teams lean on
Sponsor Intelligence
The sponsorship map of a niche in one view: which channels run paid promotions, and from whom. Competitor creator budgets stop being a guess.
Competitor Discovery
One input maps thousands of channels in a category, including rising creators no influencer database has listed yet. That long tail is where the cheap sponsorships are.
Audience Psychographics
Who actually watches the channel you're about to sponsor: what they care about and what they respond to. The fastest way to catch an audience mismatch before the contract is signed.
Works alongside your influencer stack
OutlierKit is the evidence layer under the platforms you already use, not a replacement for them.
| Your existing tool | What it does | What OutlierKit adds |
|---|---|---|
| CreatorIQ, Grin, Aspire | Discovery databases, outreach, contracts, payments | A full map of the niche, the sponsor landscape, and a numbers check before you commit budget |
| Media kits & rate cards | The creator's own story about their numbers | An independent check: growth pattern, viral-spike dependence, recent videos vs. the average |
| Your attribution stack | Measures campaigns after they run | A better shortlist before a dollar is spent |
Building creator discovery into your own product instead? The influencer marketing platform APIs guide compares the data sources, and the micro-influencer discovery guide walks through the workflow step by step.
How the data reaches your team
In the app
Run niche scans, review sponsor maps, and vet shortlisted creators.
Via the API →
Feed channel and performance data into your partnership CRM or your own tools.
Via MCP →
Let your AI assistant pull vetting data while it drafts outreach and shortlists.
Who this page isn't for
This page is about sponsorships and creator partnerships. If your job is different:
The for-PR-teams page covers coverage measurement and creator press lists.
The for-marketing-teams page covers hook mining and audience research.
The for-businesses page covers YouTube as an acquisition channel.
Pricing for brand teams
Plans start at $29/mo (Hobby). Pro at $49/mo includes full Competitor Studio access, with sponsor intelligence, for one category. Teams running always-on creator programs across several niches usually pick Max at $199/mo, with monitoring for 50+ channels and on-demand data refresh. Every plan starts with a free trial, no credit card needed.
Frequently asked questions
How does sponsor intelligence actually work?
Can this tell me a channel's sponsorship rates?
How is this different from an influencer marketing platform?
Can we find smaller creators before they get expensive?
Does OutlierKit verify a sponsorship's reach or campaign results?
Is there a free trial?
Sponsorship-heavy channels, broken down
Full breakdowns of channels with mature sponsorship businesses, and the performance patterns brand teams study before buying placements:
OutlierKit Channel Analysis
Good Mythical Morning
Daily talk show
- Subscribers
- 19.6M
- Avg views
- 2.4M
- Total views
- 11.0B
OutlierKit Channel Analysis
Marques Brownlee
Tech reviews
- Subscribers
- 21.1M
- Avg views
- 3.0M
- Total views
- 5.5B
OutlierKit Channel Analysis
The Diary Of A CEO
Business interview podcast
- Subscribers
- 17.8M
- Avg views
- 1.9M
- Total views
- 1.6B
OutlierKit Channel Analysis
Andrew Huberman
Health-science podcast
- Subscribers
- 7.6M
- Avg views
- 1.0M
- Total views
- 503.6M
Stats are from our most recent snapshot of each channel. For live numbers, outlier videos, and up-to-date revenue estimates, run a fresh analysis on OutlierKit →
See your category's sponsor map in one demo
Book a 30-minute demo. We'll scan your category live, show you which channels run paid promotions and from whom, and vet one creator from your current shortlist against their real numbers.
Book a demo