gonna hire a kol?

hi there

Your marketing team has a shortlist of crypto creators to partner with for an upcoming campaign. Everyone on the list has been flagged because they look good at a glance, solid follower counts, decent engagement on recent posts, active in the right narratives. The usual pre-deal checks have been run. Now you need to actually know whether these people are worth the budget.

The number of brands that get burned by influencers with inflated metrics is not small. And it's not just a crypto thing, although crypto is absolutely where it gets wild. The problem is that surface-level metrics tell you almost nothing about whether those people actually move the needle for your brand. Or whether they're even real.

So here's how a proper KOL evaluation actually looks, using Cookie Pro. Because the difference between gut-feel vetting and data-backed vetting is the difference between a campaign that converts and a very expensive lesson.

Step one: benchmarking, not just ranking

Your shortlist looks fine. Everyone has decent numbers. But "decent" compared to what, exactly?

The first thing Cookie Pro does that a spreadsheet can't is benchmark each creator against peers operating at the same level. Not against every creator on the internet, against accounts with a comparable score to theirs. So instead of seeing that someone has 80k followers and going "sure, cool", you're seeing that their Mindshare, signal, and impressions are in the bottom third of accounts their size.

Some creators punch way above their weight. Others are coasting on a follower count that doesn't translate into real influence. The benchmarking layer is how you tell the difference before you've committed a single dollar.

At this step alone, you can realistically cut a third of your shortlist. Not because anything's obviously wrong, just because the data makes clear they're not the standouts they appeared to be.

Step 2: Go deeper on the audience composition

For the creators who pass the first filter, you move into audience analysis. This is where the picture often changes significantly.

A creator with 6% engagement sounds great. Until you dig into Cookie Pro's geographic breakdown and realise that 70% of that engagement is coming from regions that have nothing to do with your target market. Strip that out and suddenly their effective reach for your specific campaign is... much less impressive.

It's not that those creators are frauds. It's that they're not the right fit for your audience. And you would never have known without the breakdown.

Cookie Pro also gives you a breakdown of each creator's audience quality and type.

Step 3: Who’s their engagers

For creators who still look promising after the audience composition review, you go into the authenticity layer.

Cookie Pro breaks down each creator's audience quality, what proportion of their engagers are high quality, what proportion are suspicious, and where the suspicious engagement is coming from. And look, some low-quality accounts engaging passively with a creator is normal. That alone doesn't tell you anything.

What actually matters is whether the creator is engaging back with those accounts.

A creator who has some bots liking their posts is one thing. A creator who is actively reciprocating engagement with low-quality accounts, building mutual relationships with farmers, is a completely different risk profile. Cookie Pro shows you both.

This is information you could technically gather manually if you wanted to audit thousands of individual interactions, cross-reference account quality, and track reciprocity at scale. Nobody does that. Cookie Pro just shows it to you directly. When you see a creator with high mutual engagement with suspicious users, you know what you're looking at. You move on.

Step 4: Look at the engager score versus unique engagers chart over time

For the creators who are still on your list at this point, you use the final layer of analysis: the chart that plots median engager score against unique engagers over time.

This chart is one of the most powerful tools in Cookie Pro for catching something that is otherwise almost impossible to detect in advance: purchased engagement. Here is what to look for. Under normal conditions, as a creator grows their unique engager count, the median quality of those engagers stays relatively stable or grows gradually. Organic audience growth does not typically produce sudden, dramatic shifts in either direction.

The engagement that looks purchased on this chart is distinctive. You will see a spike in unique engagers paired with a simultaneous and significant drop in median engager quality. 

Can you guess when this KOL bought engagement?

What you end up with?

By the time you have run your shortlist through this process, benchmarking against peers, reviewing audience composition by geography, checking audience type and mutual engagement, and examining the engager quality chart over time, you are not making a judgment call based on intuition or surface metrics. You have a structured, data-backed view of every creator on your list.

The whole process moves from gut feel and surface metrics to verified audience quality, authenticity signals, and engagement integrity. In a fraction of the time. With receipts you can actually show someone when they ask why you chose who you chose.

Budget protected. No surprises after the campaign goes live. And no more spending money on creators whose audiences are held together with bots and borrowed credibility. You're welcome x

Try it in Cookie pro → here

Got questions? Feedback? You know where to find us 📞, we’re here to help you get organized, even if we’re still figuring out our own lives.

Until next lesson,

stay cookish. 🍪