Types of influencers, and what each size actually costs

The five sizes, with the numbers behind each

Price is our model's estimate for a single Instagram feed post. Engagement is the median of the cohort, likes plus comments over followers. Reel views are the median of the accounts we pulled for market studies.

How many creators sit in each band, and how many have ever been paid, counted live in the United States on 3 September 2026:

Three things fall out of those tables before any advice does.

• Supply collapses as you go up. Three quarters of American creators above 10,000 followers sit in the nano band. Above half a million there are fewer than 33,000 in the whole country.
• Price does not follow reach in a straight line. A mega creator has 92 times the median reel views of a nano creator and costs at least 18 times as much per post.
• Most creators at every size have never been paid. Even in the mega band, 27% have no sponsored post in their history.

What about creators with fewer than 10,000 followers?

The five bands start at 10,000 because that is where our pricing dataset begins.

Creators below that are usually called nano-influencers too, and at this size the label carries even less information. A 3,000-follower account with a tight local audience can be worth more to a brand than a 30,000-follower account with poor audience fit, and the deal is often a product rather than a fee.

At this end of the market, audience location, engagement and content quality decide everything and the follower number decides nothing. If you are building a programme here, budget for the coordination rather than for the media.

Why our micro line sits at 50,000 and everyone else's sits at 10,000

This is the part most tier guides skip, including the version of this page we published before today.

The industry convention is roughly: nano 1,000 to 10,000, micro 10,000 to 100,000, macro above that, mega for the famous. It is a useful shorthand and it is not derived from anything. Nobody measured a break at 10,000. The number is round.

Our bands come from the pricing model, which is fitted to what creators are estimated to charge. In that data the break is at 50,000, not 10,000: the top of the 10K to 50K band is $679, the next band starts at $899, and the one after that starts at $2,600. So we cut where the money cuts, and the names follow the cut.

That leaves a genuine collision. A creator with 30,000 followers is a micro-influencer in most of the industry's vocabulary and a nano in our price table. Both are defensible and we are not going to pretend otherwise. When you read a tier number anywhere, including here, check which band the writer means before you use it.

Two practical consequences:

• If a rate card or a report says "micro", ask for the follower range in the same sentence. The word alone is worth nothing.
• On our own site the bands above are the ones every page, the pricing calculator and the ranking pages now use. We aligned the code to them on 4 September 2026, because until then a creator with 60,000 followers was labelled one thing on a ranking page and priced as another in the calculator.

Engagement does not do what the tier guides say

The standard claim is that smaller creators engage better, usually with a number like 6% for micro against 1% for macro, and usually with no source.

Our cohort says something else.

Read that carefully, because it is easy to over-claim in the other direction.

These are cohort medians across every account we hold in each band, not a matched comparison of similar creators in the same niche. The industry's "small accounts engage more" figure usually comes from a selected sample of good small accounts, or from a cohort that includes accounts under 10,000 followers, which ours does not. Survivorship explains part of the gap: an account does not reach a million followers while boring its audience, so the mega band is filtered by success in a way the nano band is not.

What our number does kill is the universal version of the claim. On this data you cannot assume a smaller creator will engage better. Tier does not predict engagement. You have to read the account.

Influencer or creator? What the account label actually tells you

The two words get used as synonyms and they are not the same thing.

A creator makes content. That is the whole definition, and it says nothing about commerce. An influencer is a creator a brand can pay to move an audience, which adds two requirements the word creator does not carry: an audience that acts, and a willingness to take a brief.

Instagram has its own version of the distinction, and it is a self-declared setting rather than an assessment. Every professional account picks a type, Creator or Business, or stays on an ordinary personal account. It is a switch in the app, not a judgement by the platform.

Across 14,050 accounts we pulled for market studies between 30 July and 3 September 2026, this is how the setting is distributed and how those accounts behave:

Two things are worth taking from that.

The setting predicts engagement, and not in the direction the labels suggest. Business accounts engage at about two thirds the rate of creator accounts, and the accounts that never touched the setting engage highest of all. The switch is a proxy for how commercial an account has become, and commercial accounts earn less free reach.

The setting does not decide whether someone is an influencer. This is the rule we work to when we build a listing, and it cuts both ways. A real person running a Business account is a valid pick, because plenty of people run their account as a business. A brand page or an off-topic account typed as Creator is not a pick, whatever the label says. We judge from the bio and the content, and no automated filter replaces that read.

So when a tool tells you an account is a creator account, it has told you which button the owner pressed. Nothing more.

The types we actually sort by when we build a listing

Size is one axis. When we build a ranking page these are the others we hold a creator against, and what each one is really asking.

• Audience location. What share of the audience sits in the country you sell in. The most common reason a technically good creator is the wrong creator.
• Audience age and gender. Read per creator, never averaged across a list.
• Audience interests. What the followers care about, which is not the same as what the creator posts.
• Topic relevance. What the creator posts about, scored against a topic rather than guessed from a bio.
• Bio phrases and post keywords. The literal words in the bio or in recent captions. This is how a niche gets found when no topic label covers it.
• Engagement rate and views. Both, because they answer different questions.
• Audience credibility. How much of the following behaves like real people.
• Sponsored history. Whether the account has ever run a brand post. It splits the market into people who know how a brief works and people who have never been asked.
• Activity. When they last posted. A dormant account with beautiful numbers is a museum.
• Growth. Whether the following is moving, and whether engagement moved with it.

Two of those split the market into genuine types rather than degrees.

Who advertises, and who never has. The share with a brand deal in their history runs from 35% in the nano band to 73% in the mega band. Read from the other side, 27% of accounts above a million followers have never made a sponsored post. In the United States, 27,811 accounts in the 10K to 50K band post regularly, hold 3% engagement or better and have no sponsored post detected at all. That group is a type of its own: cheap, uncynical and unpractised.

Who sells their own thing. A creator with a product, a course or a shop is not looking for the same deal as one who lives on brand fees. Their audience is already used to being sold to, which cuts both ways: higher intent, and less room for your message.

How we rank a list once the filters are set

Filters produce a pool. They do not produce an order, and follower count is a poor order because it only repeats the tier.

So every creator on our ranking pages carries a Click Analytic Influence Index, a score from 0 to 99 with a letter band. It answers the question the tier cannot: which of these creators is strongest, rather than which is largest.

Four things go into it on Instagram:

• Audience fit, 25% of the score. How much of the audience is in the country or the interest the page is about.
• Engagement against the market, 30%. Not the raw rate but the rate against the median for creators of that size in that market. A 2% rate is excellent in one market and ordinary in another.
• View power, 30%. Average reel views divided by followers. This is where a creator whose content travels beyond their own following pulls ahead.
• Audience quality, 15%. The share of the following that behaves like real people.

TikTok and YouTube are scored on the same ideas with different weights, because a follower count means less on a platform that distributes by video. View power carries 40% there, and a fifth component compares reach against the market's median views.

The benchmark moves with size. We hold two medians per market, one for 10K to 50K accounts and one for 250K and above, and interpolate between them on a log scale, so a 120,000-follower creator is judged against creators of roughly their own size rather than against the whole market. On Swiss Instagram those two medians are 1.05% and 0.82%.

Scores land in bands: A+ from 90, A from 80, B from 65, C from 50, D below that. Nobody scores 100, and that is a rule rather than a rounding accident, because no creator is perfect for every brief.

The funnel is stated on each listing page itself: we start from the discovered population for that market, keep the accounts above 10,000 followers, screen them for activity, audience quality and engagement, then rank what survives by the Index.