Why follower count is the wrong thing to optimise for

Most briefs written by brand managers include a line like this: minimum 50,000 followers. It feels like a sensible floor. Big audience means big reach, and big reach means more people see the product.

The problem is that follower count measures the wrong thing entirely.

What follower count actually tells you

A follower count tells you how many accounts clicked a button at some point in time. It tells you almost nothing about:

• Whether those followers care about the category you're in
• Whether they trust the creator's recommendations
• Whether they actually see the content (reach ≠ followers in a world of algorithmic feeds)
• Whether they're in the market you're trying to reach

An account with 300,000 followers who posts about travel, food, fitness, relationships, and memes is an entertainment channel. A few percent of that audience might be interested in coffee. Most are there for the memes.

The metric that actually matters: fit

Fit is the overlap between the creator's natural audience and your ideal customer. It's not something platforms surface in their search UI, because it requires actually reading the content and understanding who it attracts.

A Sydney café with a new batch brew program doesn't need reach to the general population. They need reach to people who already care about specialty coffee. Those people are a small, passionate, concentrated audience — and there are creators who have built trust with exactly them.

A concrete example

Take two creators:

Creator A: 180,000 followers. Posts about lifestyle, travel, restaurants, and fashion in Sydney. Gorgeous photos, strong aesthetic. The coffee content lands well because they post it in beautiful spaces.

Creator B: 9,000 followers. Posts exclusively about Sydney's specialty coffee scene — varietals, brew methods, new roasters, café openings. Replies to every comment. Their audience came specifically to follow that content.

A brand selling a new Colombian single-origin to Sydney coffee enthusiasts will do better with Creator B. Not because Creator B has better content. But because Creator B's 9,000 followers chose to follow a coffee-specific account. Their follower-to-interested-customer ratio is dramatically higher.

Creator A's audience is large. Creator B's audience is relevant.

The compounding effect of trust

Follower count also ignores the trust dimension. A creator who has built a community around a specific interest carries genuine credibility in that space. Their recommendation isn't just a placement — it's an endorsement from someone the audience has come to trust on exactly this topic.

This trust doesn't scale linearly with followers. It often runs inverse to scale: the smaller and more focused the community, the tighter the social contract between creator and audience.

Mega-influencers often can't say no to enough deals to maintain the fiction that every recommendation is genuine. Their audience knows this. Smaller, niche creators often have more latitude to only post things they actually use.

What to optimise for instead

Instead of asking "how many followers do they have?", ask:

• What percentage of their content is in our category?
• Does their audience engage specifically on category-relevant posts?
• Do they seem to actually use and care about this type of product?
• Has their audience self-selected around this topic, or are they there for other reasons?

These questions require reading the content. They can't be answered by a platform search filter. That's why most brands default to follower count — it's the number you can see without doing any work.

Scrye approaches discovery differently. We read creator content to understand what they actually post about, and match against briefs at the content layer — not the follower layer. The result is a shortlist of creators with genuine fit, not just sufficient size.

If you're running a campaign and you care about more than impressions, that distinction matters.

Ready to find creators who'd make this content anyway?