Average CPM Ratesby Niche in 2026

Why CPM ranges differ so much by niche

CPM tracks advertiser demand, not audience size or engagement quality on their own. A niche's CPM sits high when advertisers in that category have real budgets chasing a specific, high-intent audience, and sits low when the category is broad, low-commercial-intent, or crowded with brands unwilling to pay a premium to reach it.

That is why two channels with identical view counts and nearly identical engagement rates can carry very different sponsorship value once niche enters the picture. The table below reflects the ranges currently published across SponsorCraft's own content, sourced from Modash, IMH, and Impact.com benchmark data for 2025 to 2026.

It helps to think about what is actually being purchased in each category. A brand sponsoring finance content is usually chasing a viewer who is a handful of clicks away from opening an account, downloading an app, or making an investment decision, and will pay accordingly. A brand sponsoring general lifestyle content is buying broad awareness from a much less targeted audience, which is a real outcome but a less urgently monetizable one, and the CPM gap between the two categories reflects that difference directly.

This is a demand-side story, not a judgment about content quality. A beautifully produced lifestyle video and a plainly shot finance explainer can both perform equally well with their own audiences; the CPM difference between them comes entirely from how much advertisers in each category are willing to pay to reach a viewer, not from anything about the content itself.

CPM by niche in 2026

These are the broad category ranges with a defensible published figure behind them today. More granular niche and sub-niche breakdowns are being added as SponsorCraft's statistics content expands; this table will grow rather than be replaced.

AI sits deliberately between Finance and Tech in this ordering, not at either end. AI content pulls dev-tooling and infrastructure advertiser budgets that behave more like B2B software spend than like general consumer tech spend, which is why its range overlaps the top of consumer tech and the bottom of the finance bracket rather than sitting cleanly inside either one.

Gaming and lifestyle sit at the lower end of this table for a related but distinct reason. Gaming carries strong engagement and a famously loyal audience, but the advertiser base buying against it, mostly peripherals, energy drinks, and game publishers themselves, has historically paid less per thousand views than finance or tech advertisers chasing a narrower, higher-value audience. Lifestyle content sits lowest because it is the broadest category on this table by definition, which spreads advertiser demand thin across an enormous range of sub-niches rather than concentrating it.

These figures also move over time, not just across categories. A category's CPM range reflects current advertiser budgets and platform demand, which shift year over year as new advertisers enter a niche or existing ones pull back. Treat the table above as a 2026 snapshot, and expect it to be revised as fresh benchmark data comes in rather than as a fixed constant.

For a deeper breakdown of how these figures split by platform specifically, see CPM Rates: YouTube, Instagram, TikTok & Shorts. Platform and niche move somewhat independently: a finance channel's CPM shifts by niche the way this table shows, and shifts again depending on whether that content runs as a long-form YouTube integration or a short-form bundle.

Where your own niche sits inside a broad category

A category-level range is a starting point, not your exact number. SponsorCraft prices against 19 creator niches and 111 sub-niches, so a Coffee & beverages channel and a Food reviews & mukbang channel are not priced as the same Food audience.

Inside food, for example, a coffee and beverage channel sponsored by an actual beverage brand behaves differently from a general food-reviews-and-mukbang channel: the former often carries a slightly firmer CPM floor because the advertiser category is narrower and the product-content fit is tighter, even though both sit inside the same broad food niche.

This is the same reason a table of five broad categories can never be the final word on your specific rate. Every category above contains several sub-niches with meaningfully different advertiser demand inside it, the same way Finance splits into crypto, personal budgeting, real estate, and side hustles, each of which brings a different advertiser base to the table even though they share one row here.

The calculator above is running the same logic as the table: reach, niche, and sub-niche together, not reach alone. A general "food creator" quote and a "coffee and beverages" quote against identical view counts will not land on the same number, because the sub-niche shifts which advertiser category is actually buying the placement.

Using this table when you price your own deal

Match your content to the closest category above, take the midpoint of that range as a starting CPM, and multiply by your expected views divided by 1,000. That gives you a floor to negotiate up from, not a ceiling to stay under. If a brand's opening offer works out to a CPM meaningfully below your category's range, that is a specific, citable reason to counter rather than a vague sense the number feels low.

Treat this table as a starting reference, not a substitute for your own sub-niche and platform specifics. The categories here are broad by design, meant to orient you quickly; an engine that prices your exact sub-niche, engagement rate, and audience geography together will always land closer to a defensible number than reading a midpoint off five rows.

The table will keep growing rather than staying fixed at five rows. As more niche-specific benchmark data becomes available and gets independently verified, additional categories and sub-niche breakouts will be added here, following the same rule of only publishing a figure once a defensible source backs it.

If your own niche is not represented directly above, the closest broad category is still a more useful anchor than guessing from nothing. A gaming-adjacent tech review channel, for instance, sits reasonably between the Gaming and Consumer tech rows, and averaging the two ranges gives a more grounded starting point than picking either one at random.

Frequently asked questions