Guide
Influencer Selection
Brands
The right influencer is the one whose audience overlaps with your actual customer — not the one with the most followers. Evaluate audience fit, geography, content quality, engagement authenticity and category relevance first, and treat follower count as the last thing you look at rather than the first.
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More of a campaign's result is determined before it launches than during it. You can improve a brief, tighten a call to action, fix a landing page — but you cannot fix having picked creators whose audience does not want your product.
The single most common error is treating follower count as the primary filter. It is the weakest signal available and the easiest to inflate.
Before opening any profile, write down who you are trying to reach. Not a demographic bracket — an actual person.
"Women 25–45" is not useful. "People who already spend money on skincare, read ingredient lists, and are frustrated that their current routine is not working on adult acne" is useful, because you can recognise the audience that matches it.
Then the question for every creator becomes concrete: do this creator's followers look like that person?
Does the creator's audience already care about your category? A lifestyle creator with a broad following will reach more people than a dedicated skincare creator, and convert fewer of them.
Look at what the audience responds to. If a creator's fitness posts get real discussion and their sponsored fashion posts get silence, you have learned what their audience is actually there for.
The most overlooked filter, and the one that quietly kills campaigns. A creator can look perfect and have 70% of their audience in a country you do not ship to. If you sell in Denmark, you need Danish followers — not Scandinavian-adjacent ones.
Always check audience location data before agreeing anything.
You are not just buying reach, you are handing someone the job of representing your product. Ask whether you would be happy running their existing content as your own ad. If the answer is no, the collaboration is unlikely to produce something you can reuse.
Read the comments, not the count. Real engagement has context — questions, specific reactions, people tagging friends for a reason. Fake engagement is generic and interchangeable. Detail on this in how to spot fake followers.
Has the creator promoted things before? How did it read? A creator who promotes something different every week has trained their audience to scroll past sponsored content. A creator who is selective has audience trust worth paying for.
Response time, questions asked, whether they read the brief. This predicts whether the collaboration will actually happen on schedule, and it is a strong indicator of whether re-booking them will be easy.
Score each candidate 1–5 on audience fit, geography match, content quality and engagement authenticity. Do not weight them equally — audience fit and geography are gates, not scores. A creator scoring 2 on geography is out regardless of everything else.
Then rank the survivors. You will usually find the shortlist is shorter and better than the one you would have built from follower count.
Most brands over-index on macro early, get a disappointing cost per acquisition, and conclude the channel does not work. Starting in the micro tier with more creators gives you better data for less money.
Do not put a large budget behind a creator you have never worked with. Run a first collaboration with a defined scope and tracked links, look at the result, and then decide whether to scale.
The goal of campaign one is a shortlist for campaign two. Approach it that way and selection stops being guesswork within a couple of cycles.
Evaluating six creators manually is fine. Evaluating sixty is not — which is where brands start defaulting back to follower count because it is the only number readily to hand.
In Make Influence, creator profiles carry audience data including location and engagement alongside their previous campaign performance, so the filters above can be applied while building a shortlist rather than after committing. Once creators have run a campaign with you, their actual click and sales history becomes the strongest selection signal you have — better than any profile metric.
Enough to see variance — usually 8–15. Two creators produce anecdotes, not data.
Often, for direct sales. Not always for awareness. Match the tier to the objective rather than assuming one is superior.
Recent direct-competitor work is a reason to pause. Category experience on its own is usually a positive — it means the audience buys in your category.
Past performance with you. Everything else is a proxy for it.
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