I got into this industry before anyone was calling it influencer marketing. We called the people we worked with Spokesbloggers. A colleague coined the term and it stuck, at least for us.
They were content creators and bloggers who had built real audiences online and genuine relationships with their readers. There were no platforms, no dashboards, and no standardized contracts. Everything was built from scratch, relationship by relationship.
What I remember most about that era is that nobody could really prove it worked in the way a CFO would want.
We knew it worked. You could feel it in the traffic, in the audience growth, and in the way engagement would spike when the right creator published something. The creators in our network had real influence over their readers. We just couldn't package it in a way that a finance team could easily sign off on.
From gut feeling to performance channel
For years, the standard way to evaluate an influencer campaign was impressions, reach, and engagement rate. Those numbers were easy to report and hard to argue with. They also didn't tell you whether anyone bought anything.
The industry is now moving away from that. The conversation has shifted from “our campaign reached two million people” to “our campaign drove this many conversions at this cost per acquisition.”
That's a harder conversation to have, and a better one. It forces everyone to be more precise about what success should look like before the campaign starts, not after.
Most campaigns don't fail because of the channel
In my experience, when influencer marketing underperforms, the campaign setup and measurement are almost always where things went wrong, not the channel itself.
One of the most common mistakes is relying only on last-touch attribution. That model gives all the credit to whatever interaction happened directly before the conversion.
In influencer marketing, that rarely captures the full picture. A creator might introduce someone to a brand weeks before they buy. If you're only looking at the last click, the creator's contribution disappears. Then, when budgets are reviewed, influencer marketing gets cut because it supposedly didn't perform.
Layered attribution gives a more honest picture
The stronger programs use multiple signals to understand the full customer journey. They track UTM parameters, affiliate links, unique promo codes, conversion data, and post-purchase surveys that ask customers how they first heard about the product.
None of those methods is perfect on its own. Together, they create a more realistic picture of where influence is happening.
This also helps teams separate awareness from conversion. A creator may be highly effective at introducing a brand to the right audience even when another channel closes the sale later.
The creator relationship still matters more than the platform
Something that hasn't changed, and I don't think it ever will, is that the best influencer campaigns are built on real relationships, not transactions.
When a creator has worked with a brand over time, the audience can usually tell the difference between a one-off sponsored post and a genuine recommendation. That familiarity creates credibility.
A thoughtful mention from a creator who actually knows and uses the product can carry more weight than a polished one-time post from someone with a much larger following.
I learned this early while helping build creator networks. The creators who drove the most value were the ones we'd invested time in, the ones who understood what we were trying to do and believed in it.
The platforms have changed. The tools have changed. The human element has not.
Reach is not the same as relevance
Large audiences can be useful, but audience size alone does not tell you whether the creator is right for the brand.
Relevance, credibility, audience fit, and the quality of the creator's relationship with their followers often matter more than raw reach.
A campaign can generate impressive numbers and still fail to influence the people who matter. That is why the creator selection process should begin with the audience and the business goal, not with follower count.
The next phase will require better measurement
Influencer content now appears across search results, social platforms, private communities, subscriber-only spaces, and increasingly in AI-generated discovery experiences.
That makes measurement more complicated, but it also makes it more important. Brands will need to understand not only whether a creator drove an immediate sale, but how creator content influenced awareness, consideration, trust, and later conversion.
Twenty years ago, I was cold-calling bloggers and trying to explain why they should trust us enough to join a network nobody had heard of. The channel has come a long way.
What hasn't changed is the foundation: the right creator, the right audience, a credible relationship, and a clear understanding of what the campaign is supposed to accomplish.
Influencer marketing does not need to become less human to become more accountable. It simply needs better goals, better measurement, and a more honest view of how influence actually works.
Frequently asked questions about influencer marketing
How should brands measure influencer marketing?
Brands should use a combination of UTM parameters, affiliate links, unique promo codes, conversion data, and post-purchase surveys to understand the full customer journey.
Why does last-touch attribution undercount influencer marketing?
A creator may introduce someone to a brand weeks before a purchase. Last-touch attribution gives credit only to the final interaction and can miss the creator's earlier influence.
Why do long-term creator partnerships matter?
Long-term partnerships help creators understand the brand and develop genuine familiarity with the product, which can make their recommendations more credible to audiences.