fail to produce revenue
Most influencer program failures are measurement failures before they are execution failures.
Reach bought without attribution setup
An influencer post with 200,000 views and no tracking link produces anecdotes, not data. Without Amazon Attribution or Shopify referral tracking, the revenue contribution is unknown. Programs that cannot be measured cannot be optimized.
Macro influencers selected for follower count, not conversion rate
A creator with 500,000 followers in a category-adjacent niche may produce lower attributed revenue than a creator with 20,000 followers who is trusted specifically for product recommendations in the exact category. Conversion rate is a function of audience fit and creator credibility, not follower count.
No program structure — one-off deals only
Brands that do individual influencer deals without a program structure have no content pipeline, no rate benchmarks, no performance data to learn from, and no leverage with creators. A program structure produces a content cadence, a benchmark database, and compound learning.
for attributed influencer revenue.
Each component addresses a specific failure mode. Together they produce a creator program that generates attributed revenue and evergreen content.
Attribution Framework Setup
Amazon Attribution links configured for each creator and campaign. Shopify referral tracking set up where DTC is the destination. Affiliate commission structure defined using Amazon Associates or a dedicated affiliate platform. Every creator post has an attributed tracking mechanism before content is published.
Creator Identification & Outreach
Creator selection based on audience fit to the product category, engagement rate relative to follower count, and prior product recommendation credibility — not follower count alone. Outreach and brief process managed. Rate benchmarks built from actual performance data.
Ongoing Program Management
Monthly creator brief cycles. Content review against brand guidelines and compliance standards. Performance tracking by creator and by campaign — attributed revenue, click-through rate, and content repurposing viability. Program learning applied to creator selection and brief development each cycle.
Performance before scale.
We configure attribution before the first creator goes live. We prove performance at small scale before we scale the program.
Attribution & Program Setup
Amazon Attribution and Shopify referral tracking configured. Affiliate platform selected and set up where required. Creator selection criteria defined from the product category and target buyer profile. Rate benchmarks established from market data.
Pilot Cohort
Initial creator cohort of five to ten creators selected and briefed. Content produced and published with tracking links in place. Thirty-day performance window measured for attributed clicks and revenue.
Program Scale & Ongoing Management
Pilot cohort performance used to calibrate creator selection criteria and rate benchmarks. Successful creators continued. Underperforming creators replaced. Program scaled based on attributed revenue performance, not reach metrics.
earns its budget.
Every dollar of program spend is tracked against attributed revenue. The program earns its budget or the budget does not grow.
Amazon Attribution and Shopify referral tracking configured for all creators.
Defined criteria based on audience fit, engagement rate, and category credibility.
Initial cohort identified, briefed, and activated with full attribution in place.
Ongoing brief cycle with content review against brand and compliance standards.
Monthly attributed revenue, click-through, and content performance by creator.
Creator attribution data integrated into ARIA's performance reporting and TACoS model.
Marketing & Growth includes additional services that compound on this one.
Attribute the revenue
before scaling the program
We work through referrals. If you have been referred, send us a message and we will audit your current influencer tracking setup and show you what is going unattributed.