Guide
Influencer Selection
Brands
A micro influencer is usually defined as roughly 10,000 to 100,000 followers. In a market the size of Denmark the tier is often the most efficient place to buy, because the audience is close enough to the creator for a recommendation to carry weight and the cost per collaboration is low enough to test many at once. The trade-off is variance and administrative load: a micro programme only works if attribution and payouts are handled per creator rather than by hand.
The tiers are conventions rather than standards, but the working definition most of the industry uses puts micro at roughly 10,000 to 100,000 followers, with nano below it and macro above. The full breakdown of how the tiers differ on engagement, price and budget allocation is in nano, micro, macro or mega influencers.
What matters commercially is not the number but what it implies: at this size a creator still reads their own comments, still answers messages, and still has an audience that experiences them as a person rather than a channel. That is the property you are actually buying.
Denmark is a small market with a dense, high-trust social graph. Two consequences follow:
Spreading the same budget across more, smaller creators therefore tends to buy both wider unique reach and higher trust per impression. That is a structural argument, not a promise — the actual result depends entirely on selection.
Illustrative figures to show the shape of the decision — not Make Influence customer data and not market rates.
Say you have DKK 30,000. Two ways to spend it:
| One macro creator | Ten micro creators | |
|---|---|---|
| Cost each | DKK 30,000 | DKK 3,000 |
| Data points about what works | 1 | 10 |
| Content assets produced | 1–2 | 10–20 |
| Risk if the creator misses | Whole budget | One tenth |
| Admin effort | Low | High — unless automated |
The micro route is not automatically better, but it is almost always the better first move, because it converts a bet into an experiment. You end the month knowing which two or three creators to scale, rather than knowing one number with no way to interpret it. Reading that spread correctly is its own skill — see how to identify which influencers to scale.
The content volume line is easy to undervalue. Ten creators producing ten to twenty usable assets gives you a creative testing pipeline for paid social, which is frequently worth more than the direct sales — see which content deserves ad spend behind it.
It breaks on administration, and it breaks quietly.
Ten collaborations mean ten briefs, ten tracking links, ten sets of content to approve, ten payouts to reconcile and ten sets of usage rights to keep track of. At five creators a spreadsheet copes. Somewhere between ten and thirty it stops coping, tracking gets dropped first, and the programme becomes unmeasurable — which is the exact failure described in why manual influencer marketing becomes messy.
The second failure mode is paying in product only. At micro scale the numbers are small enough that brands are tempted to offer gifting alone, and the creators most worth having decline — see why good creators say no to product-only offers.
The micro model is precisely the case where the operational load decides whether the strategy survives contact with reality. On Make Influence every creator in a campaign gets their own tracking link, sales are attributed per creator automatically, and commission is paid out to each of them without you raising invoices — which is what makes running fifteen small collaborations at once a normal week rather than a project.
Creators are manually reviewed before they can apply, and the marketplace shows audience data by category, so the size and geography filters can be applied while building a shortlist. The mechanics of tracking, compensation and payouts are set out on how Make Influence works for brands.
No. Cost per acquisition varies far more between individual creators than between tiers. The tier decides your risk profile and how many experiments you can run; selection decides the result.
Manually, realistically under ten before tracking starts slipping. With per-creator attribution and automated payouts, several times that.
Usually yes, with the difference expressed in the fixed component rather than the percentage. See how much commission should influencers get.
Sometimes — nano creators are cheaper and often more responsive, at the cost of higher variance and smaller absolute reach. See influencer marketing on a small budget.
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