Barn Owl measures the true sales lift of organic influencer campaigns, in-store and online. We compare the people who follow your creators against matched people who don't. No promo codes, no pixels, no extra work for your creators.
Why it's hard
Brands now put a serious share of their budget into creators. Most still report on it with likes, views, and earned media value. Those numbers say people saw the content. They don't say whether anyone bought something they wouldn't have bought anyway. That's the only question finance and leadership care about.
Compare
Most influencer measurement tells you about attention, or about the small slice of buyers who leave a trail. Barn Owl measures incremental sales across everyone your creators reached.
Measures: Attention
The catch: Reach isn't revenue.
Measures: Code redemptions
The catch: Codes leak to coupon sites, and they miss everyone who bought without one.
Measures: Last-click online conversions
The catch: Nearly all influenced buyers never click. Retail purchases are invisible.
Measures: Stated awareness and intent
The catch: Measures what people say, not what they buy.
Measures: Mentions and sentiment
The catch: Conversation volume isn't purchase behavior.
Measures: Credit across tracked digital touchpoints
The catch: Organic social views aren't touchpoints MTA can see.
Measures: Incremental conversions from ads
The catch: Paid media only. The platform has to control the holdout.
Measures: Incremental conversions from ads
The catch: Paid media only. Organic content cannot be geo-targeted.
Measures: Channel-level contribution over time
The catch: Organic influencer may be too small and too bursty to separate out. If it can, MMM measures only the full channel, not specific campaigns or influencers.
Measures: Incremental sales per household and iROAS
The catch: Needs enough reach to detect lift. We check feasibility up front.
✓ = yes, ◐ = partially, ✗ = no
It's the one method in this table that is causal, sees offline sales, and works for organic content.
How it works
We resolve the identities of your creators' followers into privacy-safe, hashed household profiles. This becomes your exposed group. In parallel, we build a control group: demographically matched people who don't follow any creator in the campaign.
Both groups are matched to real purchase data. Depending on your category, that means retail and loyalty-card data or your own first-party sales, signup, or deposit data.
We compare what followers bought during the campaign with what the matched control bought. The difference is your incremental lift. We scale it to your campaign's estimated household reach to get total incremental revenue and incremental ROAS (iROAS).
What you get
Lift % on your primary KPI: exposed households vs. the matched control
iROAS or CPIA, matched to your KPI: incremental return on ad spend for sales KPIs, or cost per incremental acquisition for order, signup, or deposit KPIs
Up to four additional KPIs when the data is available, such as new buyers, reactivated customers, or high-value segments
Test cells defined around what you want to learn: individual creators, message, campaign, creator tier, and more
Statistical confidence on every number, so you know when a result is real and when it's noise
Recommendations on what to scale, what to cut, and how to set up the next test
Companion method: time-based counterfactual
Some campaigns can't use a follower-based control. The audience may be too small to resolve, every customer may be exposed at once, or the outcome may only exist as a total, like national sales. For these, we build a forecasting model on the pre-campaign period that accounts for trend, seasonality, pricing, promotions, and other marketing spend. We project it forward to estimate what sales would have been without the campaign, then measure the gap between that forecast and what actually happened.
About Barn Owl
Barn Owl Analytics is a specialist measurement firm focused on one problem: proving the sales impact of organic influencer marketing. We don't sell media, manage creators, or take a cut of anyone's spend. Our only job is to tell you, as accurately as possible, what your influencer program is actually worth.
Our team brings measurement and data science experience from Haus, Amazon, and Recast, and has built incrementality measurement programs for brands in DTC, CPG, food & beverage, and sportsbooks.
Why a barn owl: Barn owls hunt in complete darkness. They don't need to see their prey. Their ears are offset so precisely that they can pinpoint a mouse from sound alone. That's our job: finding the signal you can't see. Organic influencer leaves no clicks and no cookies, but the impact is still there for anyone who knows how to listen.
Tell us about your next campaign, or one that just ended. We'll run a free feasibility check and show you what a study would measure.