The Ecomm Analyst

Most influencer measurement is vanity metrics dressed up as reporting. You’ll see impressions, engagement rate, reach, maybe a share-of-voice chart. None of that tells you whether the campaign made money.

The useful question is simpler. Did this creator drive revenue, and if so, how much? Everything else is context. Most of the tools marketed as “influencer analytics” don’t actually answer that question, because they’re built to evaluate creators, not campaigns. That’s a different job.

Here’s the stack I actually use for influencer measurement, broken out by what each piece is good for.

Start with UTMs and discount codes

Before any tool matters, you need clean inputs. Every creator gets a unique UTM link and, ideally, a unique discount code. Without these two things, no tool in the world can separate influencer-driven revenue from everything else happening on your site.

The discount code is the single most underrated measurement tool in the entire stack. It’s attributable, it survives ad blockers, it works across devices, and it gives the creator a reason to push the post harder. If you do nothing else, do this.

Attribution is where the real measurement happens

This is where most operators get stuck. Your Meta pixel doesn’t see influencer traffic. GA4 will show you sessions but won’t tie them back to a full customer journey. Shopify analytics uses last-click, which tends to give credit to whatever happened right before checkout, usually a branded search or direct visit.

ThoughtMetric is what I use for this layer. The relevant piece is the custom reports feature, which lets me build a view specifically for influencer performance. Referrer or UTM source on one axis, revenue and new customer rate as the metrics, filtered to just the creators I’m tracking. That gives me a single saved report I can pull up after a campaign and actually answer the “did this work” question.

Multi-touch attribution matters here more than almost anywhere else in marketing. An influencer usually sits early in the customer journey. Someone sees a creator’s post on Tuesday, searches for the brand on Thursday, clicks a Meta retargeting ad on Saturday, and buys. Last-click gives Meta all the credit. A multi-touch model lets me see the full path and assign appropriate weight back to the creator who started it.

Affiliate and link-tracking layers

For creator programs that run on commission, an affiliate platform sits on top of the attribution layer and handles the payment side.

Shopify Collabs is the obvious default if you’re on Shopify. It’s free, it’s built into admin, and it handles the mechanics of inviting creators, issuing codes, and paying commissions. It’s not a sophisticated analytics tool, but it doesn’t need to be. It’s plumbing.

Levanta is worth looking at if you’re running across Shopify plus Amazon. Amazon attribution is its own rabbit hole, and Levanta handles that relatively cleanly alongside Shopify.

Impact is the enterprise option. More powerful, more complicated, more expensive. Worth it if you’re running a partner program at scale, overkill for most brands.

Post-purchase surveys

This is the quietest tool in the stack and one of the most valuable. Ask every customer one question after checkout. “How did you hear about us?”

Fairing and KnoCommerce are the two I’ve used and liked. ThoughtMetric also has a built-in survey product that rolls into the same reporting, which is convenient if you’re already using it for attribution.

Survey data is messier than click-tracking data, but it captures things the other tools can’t. Podcast mentions, word of mouth, a creator post that someone saw three weeks ago but never clicked. You’ll consistently find that influencer attribution shows up higher in survey data than in pixel-based attribution, which is useful context when you’re deciding whether to keep funding a channel.

The influencer platforms themselves

GRIN, Aspire, CreatorIQ, Upfluence. These are creator CRM and workflow tools. They’ll give you roll-up dashboards with clicks, conversions, and sales generated per creator, mostly based on the UTMs and codes you’ve already set up.

The measurement inside these tools is fine for within-platform reporting. It’s not where I’d go to answer the bigger question of how influencer spend compares to paid social or email. For that you need to pull the numbers into your broader analytics stack.

If you’re already using one of these platforms, great, use the reporting it gives you. But if you’re choosing a tool primarily for its measurement, you’re choosing the wrong thing. Pick these for workflow and creator relationships. Measure elsewhere.

What I’d actually do

For a brand running its first real influencer program, the measurement stack is simpler than it looks. Unique UTM and discount code per creator. An attribution tool that can tie those back to revenue (ThoughtMetric in my case, but anything that does proper multi-touch and integrates with Shopify works). A post-purchase survey for the word-of-mouth signal the pixels miss.

That’s it. The rest is refinement. Don’t let an influencer platform sales team convince you that their engagement dashboard counts as measurement. It doesn’t.