How Many Influencers Do You Need for a Campaign?

There's no single right number

There's no universal "correct" number of influencers for a campaign. The right count is your campaign budget divided by the expected cost per influencer, adjusted for tier mix, expected non-delivery and the campaign's objective. A performance-led campaign usually needs more, smaller creators than an awareness-led campaign with the same budget, because the two objectives optimize for different things. The rest of this guide gives you the formula, a worked example, and the mistakes brands make when they guess a round number instead.

Step 1: Start from budget, not headcount

The most common mistake is deciding on a number first — "we want to run 20 influencers" — and then squeezing the budget to fit. That's backwards. Start with what you actually have to spend, and let the count be the output of the calculation, not the starting point. If you haven't set that starting number yet, see how to set an influencer marketing budget for a top-down and bottom-up method to get there.

The base formula:

Active creators = Campaign budget ÷ Average cost per creator

"Cost per creator" covers everything you actually pay per participating influencer — upfront fee, commission at your expected sales level, and any payment for UGC and usage rights. See how much should brands pay influencers if you don't have that number yet.

Step 2: Choose your tier mix before you calculate a count

Cost per creator depends entirely on which tier you choose. Nano, micro, macro and mega influencers carry very different prices and very different roles in a campaign — see the full comparison in nano, micro, macro or mega influencers. A DKK 90,000 budget produces a completely different headcount depending on whether it goes to three macro creators or forty nano creators.

Most performance-focused campaigns get the best balance of data, cost and conversion by putting the bulk of the budget in the micro tier and using a small number of larger creators as reach "anchors" — see the worked example below.

Step 3: Build in a non-delivery buffer

Not everyone you recruit delivers. Some never reply after first contact, some decline after seeing the brief, and some stall mid-collaboration. If you plan around 100% of recruited creators delivering, the campaign typically ends up with fewer active creators than planned — and therefore less reach and fewer data points than the budget was actually set up to buy.

Recruited count = Target active creators ÷ (1 − expected non-delivery rate)

The non-delivery rate varies with how well you already know the creators and how tight the brief and agreement are. Set your own number from your own past campaigns; don't borrow a guess from a different category or from this article.

Step 4: Match the count to the campaign's objective

The three objectives pull the count in different directions on the same budget. A campaign that blends objectives should blend the logic too — not apply one formula to the whole budget.

Worked example

WORKED EXAMPLE. All numbers below are hypothetical and for illustration only. This is not a real Make Influence customer case. Replace every assumption with your own.

A brand has DKK 90,000 for a performance-led campaign and wants to compare two ways to split the budget.

Model A: All-micro

• Average cost per micro creator (fee + expected commission + content): DKK 2,500 (illustrative figure — not a market rate)
• Target active creators = 90,000 ÷ 2,500 = 36
• Expected non-delivery: 15%
• Recruited count = 36 ÷ (1 − 0.15) = 36 ÷ 0.85 = 42.4 → recruit 43 creators to end up with roughly 36 active

Model B: Micro creators plus two anchor creators

• 2 larger creators for reach, at DKK 12,000 each: 2 × 12,000 = DKK 24,000
• Remaining budget for micro creators: 90,000 − 24,000 = DKK 66,000
• Micro creators at DKK 2,500 each: 66,000 ÷ 2,500 = 26.4 → 26 micro creators (DKK 1,000 left as buffer)
• Total target active creators = 2 + 26 = 28
• Same 15% non-delivery applied to the micro portion: 26 ÷ 0.85 = 30.6 → recruit 31 micro creators (anchor creators are typically negotiated directly and carry lower non-delivery risk, so they aren't included in this buffer)

Same budget, two different headcounts. Model A gives you more data points and more spread risk; Model B trades eight micro creators for potentially higher total reach through the two anchor creators. Neither model is "correct" — the choice depends on whether the objective is data volume or reach. For the full breakdown of how a single campaign's economics fit together, see worked example: 10 influencers, UGC + commission. Once the campaign has run, the result can be converted into a comparable ROI percentage — see how to calculate influencer marketing ROI.

Portfolio logic: why more, smaller partnerships often beat fewer big ones

Spreading the budget across more, smaller creators instead of a few large ones works the same way as an investment portfolio: any single creator's poor result — a cancellation, low engagement, a mismatched audience — affects a smaller share of the total. With 36 creators, one that doesn't deliver costs you under 3% of planned reach. With three large creators, the same cancellation costs you close to a third of the campaign.

More creators also give you more data points to improve the next campaign with — which content types, which angles, and which sub-segments of your audience actually convert. Three large creators give you three anecdotes. Thirty-six give you a pattern you can act on.

The price of spreading out is coordination: more briefs, more approvals, more payments. That's a real cost, not just a spreadsheet exercise — see why manual influencer marketing becomes messy.

Common mistakes

• Picking a round number first. "20 influencers" isn't a strategy — it's a guess that happens to be divisible by 10.
• Assuming 100% delivery. Without a non-delivery buffer, the campaign typically ends up with fewer active creators than planned.
• Assuming more is always better. More creators require more coordination than most teams have the capacity to handle well.
• Putting the whole budget behind a few large creators for a performance campaign. That concentrates risk exactly where you can least afford it.
• Confusing recruited count with active count. Report and plan against how many actually deliver — not how many you messaged.

Make Influence's experience

This is Make Influence's operational experience, not a universal rule. We most often see brands that set their count from budget and objective, rather than a gut feeling, run more predictable campaigns — because the active creator count becomes a variable they control instead of a surprise that shows up when the results are tallied. We typically recommend planning around active, delivering count and building a non-delivery buffer in from the start, rather than reacting to non-delivery as it happens. When campaigns run continuously instead of as one-off events, this planning gets easier — see build an always-on influencer + UGC system.

FAQ

Is more influencers always better?

No. More creators give you more spread and more data points, but also more coordination. Your capacity to brief, approve and pay doesn't automatically scale with headcount.

How many influencers should a first campaign use?

For a first, bounded test campaign, how to choose the right influencers points to 8–15, enough to see variance without too much complexity. The formula in this guide is for when you're scaling beyond that first test and have a fixed budget to size against.

What if I don't know my average cost per creator yet?

Use a conservative estimate based on your tier choice (see how much should brands pay influencers), run a smaller test campaign, and update the number with your own real costs before planning the full campaign.

Should the count change between an awareness and a performance campaign?

Usually, yes. Awareness optimizes for reach per dollar, which can point toward fewer, larger creators. Performance optimizes for data points and spread risk, which typically points toward more, smaller creators.

How do I account for creators who don't deliver?

Build a non-delivery rate into your recruited count, as shown in the worked example above, instead of recruiting exactly your target and hoping everyone delivers.