Last quarter, I made what seemed like a small decision: I started actively reaching out to other marketers in my industry to compare notes on influencer campaigns. Nothing formal—just coffee calls, Slack convos, sharing what’s working and what isn’t.
By month two, I realized I’d been flying blind for almost a year.
I discovered that what I thought were standard industry rates were actually 30-40% below what everyone else was paying. I learned that a creator tier I’d basically written off (think 150k-300k followers) was absolutely crushing it for other brands. I found out that one of my ‘consistent underperformers’ was getting engaged mostly by bot followers, something I’d never caught in my own audits. And I realized that I had almost no playbook for scaling UGC-quality content with micro-creators, which is apparently table stakes now.
The worst part? All of this knowledge already existed. People had already solved these problems. I was just isolated in my own silo, optimizing within a very narrow set of assumptions.
I think the root issue was that I wasn’t connected to enough people who were actively doing what I was doing. Case studies are great, but they’re curated. Conversations with peers? Those are real.
What changed: I now have a standing monthly call with four other marketers from different industries. We share what worked, what didn’t, what we’re testing. No proprietary stuff—just the core playbook questions. And my confidence in decision-making has gone way up because I’m making decisions against actual benchmarks, not my own gut.
I’m curious if others have had similar experiences. Have you found that peer networks actually shaped your strategy, or does it mostly just validate what you already know?
This is such an important observation, and it connects directly to a bias I’ve noticed in how we all work: we benchmark against ourselves, not against the market.
Like, if your last three campaigns hit an 8% engagement rate, you think ‘that’s good.’ But if you compare it to what similar creators are doing for competitors or other brands in your space, maybe 8% is actually the bottom quartile. And you just never knew.
I started tracking this systematically about six months ago. I created a shared spreadsheet where I log campaign metrics: creator handle, follower count, engagement rate, CPE, estimated reach, estimated conversion. Obviously with anonymized brands. I share it with about eight other analysts, and we all contribute data.
Within two months, I had 2,000+ campaign data points. That instantly showed me:
- My micro-influencer rates were 25% too low (I was underpaying)
- My expectations for macro-creators were unrealistic (I was expecting too much ROI from expensive placements)
- Creator tiers that looked identical on paper often had wildly different audience quality—some had real followers, some didn’t.
Having real benchmarks instead of guessing changed every subsequent decision. Now when a creator quotes a rate, I know exactly what the market is paying. When I see an engagement number, I know how it stacks up.
The network effect is real. Individual data points are noise. Aggregated data is clarity.
One more thing: the peer network also gives you access to negative case studies. Like, ‘we tried that creator and it was a disaster because X’ or ‘that strategy bombed in our market for Y reason.’ You learn as much from failures as from wins, but you usually don’t have visibility into other people’s failures unless you can actually ask.
This is exactly what we’ve been building into our 2025 strategy—creating an internal cohort of partner brands where we exchange insights monthly. The insights have been genuinely game-changing.
One example: we thought our micro-influencer conversion rates were competitive. Turns out, the brands we’re benchmarking against were getting 15-20% better conversion by using a completely different creator vetting process. They were screening for audience authenticity and engagement depth instead of just follower count. One simple change in how we vet creators improved our results by 18% in the span of two weeks.
The other thing that network did: it exposed how much of marketing is just assumptions dressed up as strategy. Like, ‘macro-influencers are better for brand awareness’—true in aggregate, but we found edge cases where it was totally wrong for our category.
My advice: formalize these conversations. Don’t leave them as ad hoc coffee calls. Set a regular cadence, set expectations for what you’re sharing, and create infrastructure (like a shared doc or dashboard) where the learning accumulates. Otherwise, you’ll have a great conversation, forget 60% of it, and never build it into your process.
Also, if you can, get peers from different industries. Same-industry peers are helpful but often reluctant to share. Peers from adjacent industries? They’re usually way more open.
I love what you’re describing, and I think it also points to something bigger: most marketers are actually hungry to share knowledge, but there’s nowhere to do it safely.
Like, you can’t just post ‘here’s my influencer cost benchmark’ on Twitter because you’ll get flooded with inbound creator requests and rate negotiations. But within a closed group of peers? People will share like crazy.
I’ve noticed this in the community I’m part of—the second you create a space where people feel safe, where it’s clear proprietary info stays private but learnings get shared, collaboration happens naturally.
What if we actually built this into how we do things more formally? Like, peer exchange circles where people commit to monthly conversations and share what they’re learning. Nothing invasive, just ‘here’s what we tested, here’s what moved the needle, here’s what surprised us.’
I think a lot of the fragmentation in our industry comes from people not having peer visibility, not from any kind of competitive deficiency.
Your point about discovering gaps is huge. I had a similar moment when I connected with a founder who’s solving the same problem in a different vertical.
Turns out, my entire assumption about how to scale influencer campaigns was built on outdated playbooks. I had this cascade effect where every downstream decision was based on a false premise.
What helped: talking to someone who was two steps ahead and had already discovered what doesn’t work. Saved me probably six months of learning through failure.
I think the pattern here is clear: your progress is limited by the quality of your peer network. If everyone in your network is making the same mistakes, you won’t catch them. You’ll just validate each other’s wrong assumptions.
How are people actually finding these peer groups? Through the community? Through direct outreach? I want to be more intentional about building my advisory circle.
We’ve actually formalized this at the agency level. We have quarterly ‘state of influencer marketing’ sessions with other agency heads where we share what’s working, what’s broken, client case studies (anonymized), emerging creator opportunities, platform algorithm changes, rate trends.
The ROI of that network is probably 10x our investment in time. We catch trends faster, we avoid pitfalls that others have already stepped in, we spot new creator opportunities before they blow up, and we adjust our pricing models based on real market data instead of hunches.
One concrete example: we noticed three months ago that a certain creator category was becoming saturated. Warned three clients. They shifted budget to less-saturated categories. Saved them probably $50k combined that quarter just by having market visibility.
If you’re not in a formal peer network at this level, I’d recommend joining or starting one. The intelligence is worth more than most agencies charge as a consulting fee.
The key: find people who are trustworthy and have aligned incentives to be honest. Competitors won’t share real data with you. Peers in different sectors won’t hesitate.