Hero
Performance Marketing
Affiliate & Partner Marketing
Fashion E-Commerce

Creator Affiliate Engine with Real Attribution for a Fashion Retailer


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Overview

What we built

A fashion brand was paying roughly 300 creators on follower counts and gut feel, with no way to know who actually sold anything. We gave every partner a tracked identity and let the revenue decide.

In plain terms: the brand, which sells online alongside its 11 boutiques, had built a large creator programme without measurement. Payouts were flat monthly fees negotiated on audience size, discount codes were handed out informally, and links carried no tracking, so nobody could connect a creator to a sale. The budget kept growing anyway, and when leadership asked what it bought, the marketing team could only answer with screenshots of posts rather than revenue.

We moved the whole programme onto a dedicated partner platform. Every creator received unique tracked links and codes, orders were reconciled against the commerce backend with first-party attribution, and a scoring dashboard ranked partners on revenue, new-customer share and return rates. Payouts shifted from flat fees to performance tiers, and quarterly reviews now decide the roster on data. Return on creator spend climbed from 1.4× to 3.1× within two quarters, and affiliate revenue grew 64% year on year on a flat partner budget.

The Problem

Creator payouts on gut feel

The creator roster had grown to roughly 300 partners the way most do: organically, relationship by relationship, with fees set in negotiation and renewed by habit. Follower counts stood in for value because nothing better existed. Links pointed at the store with no tracking behind them, and discount codes circulated informally, sometimes shared between creators or leaked to coupon sites, so even code redemptions said little about who earned them.

Inside the business, the programme was an article of faith. The budget rose year after year on the strength of reach and engagement screenshots, while finance saw a growing line item with no revenue attached. The marketing team suspected a core of partners drove most of the value and a long tail drove almost none, but with no attribution there was no defensible way to act on that suspicion.

Operations strained under the same opacity. Paying roughly 300 creators on individually negotiated flat fees meant monthly reconciliation by spreadsheet: chasing post evidence, matching invoices and hand-checking codes. The process swallowed two weeks each month and produced nothing that helped anyone decide which partners deserved renewal, because all the effort went into paying the roster, not evaluating it.

Payouts on gut feel

Flat monthly fees were negotiated on follower counts and relationships, so a creator's price had no connection to the sales they actually generated.

Untracked links and codes

Links carried no tracking and discount codes circulated informally, so even a completed order could not be traced back to the partner who drove it.

Screenshots as evidence

The programme was defended with reach and engagement screenshots rather than revenue, leaving finance funding a growing budget on faith rather than numbers.

Spreadsheet reconciliation

Paying roughly 300 partners on bespoke flat fees consumed two weeks of manual spreadsheet work every month, with nothing evaluative to show for it.

What it was costing them

A growing budget was being spread evenly across performers and passengers alike. Creators driving real revenue were underpaid relative to their impact and could be poached, while a long tail collected flat fees for negligible sales. Finance's patience was running out, two weeks a month vanished into reconciliation, and the brand had no honest answer to the simplest question: what does this programme earn?

The Solution

Attribution-first affiliate engine

We stood the programme up on a dedicated partner platform and gave every creator a measurable identity: unique tracked links and unique codes, replacing the informal handouts. First-party attribution then reconciled every order in the commerce backend, so a sale is credited from the transaction record itself rather than inferred from a screenshot or a shared coupon.

On top of that data we built a scoring dashboard that ranks every partner on the measures that matter to a fashion retailer: revenue driven, share of new customers brought in, and return rates on what their audiences buy. A creator who moves product that comes straight back scores very differently from one who brings in first-time customers who keep their orders.

The commercial model changed to match. Flat monthly fees gave way to performance tiers, so earnings scale with attributed results, and quarterly reviews now decide the roster on the dashboard rather than on relationships. Partners see the same logic applied to everyone, which made the transition firmer but fairer, and gave the strongest creators a reason to lean in.

Key decisions

01

Attribution before judgement

Tracked links, unique codes and backend order reconciliation came first, so every later decision about payouts and the roster rested on defensible first-party data.

02

Score beyond raw revenue

Partners are ranked on new-customer share and return rates alongside revenue, so the dashboard rewards creators who bring durable customers, not just volume.

03

Pay for performance, in tiers

Flat fees became performance tiers, aligning what a creator earns with what they demonstrably sell and letting strong partners out-earn their old retainers.

04

Let quarterly reviews cut

The roster is decided in quarterly, data-led reviews, giving underperformers a fair window to improve before the programme reallocates their budget.

05

Reconcile in the backend

Orders are matched inside the commerce backend rather than trusted from platform reports, so attribution survives shared codes and coupon-site leakage.

Measurable Impact

What changed after launch

The numbers answered the faith question decisively. Return on creator spend climbed from 1.4× to 3.1× within two quarters of the performance tiers going live, and affiliate-attributed revenue grew 64% year on year on a flat partner budget. The programme stopped costing more to deliver more: the same money simply went to the right people.

The dashboard also settled the long-tail question: 38% of the 300-creator roster was retired after attribution showed those partners drove under 3% of partner revenue, freeing budget for the creators who actually sell. And monthly payout reconciliation collapsed from two weeks of spreadsheets to under a day, turning an administrative burden into a routine task.

Partner payment

Flat monthly fees set on follower counts

Performance tiers tied to attributed revenue

Sales attribution

Untracked links and informally shared codes

First-party attribution reconciled in the commerce backend

Roster decisions

Renewals by relationship and gut feel

Quarterly reviews on revenue, new-customer share and returns

Reconciliation effort

Two weeks of spreadsheets every month

Payouts reconciled in under a day

Headline results

Return on creator spend climbed from 1.4× to 3.1× within two quarters of performance-based tiers

Affiliate-attributed revenue grew 64% year on year on a flat partner budget

38% of the 300-creator roster retired after attribution showed they drove under 3% of partner revenue

Monthly payout reconciliation cut from two weeks of spreadsheets to under a day

Tech & Tools Used

What powered the build

Every tool below earned its place in this engagement. Here is the part each one played.

Impact.com

The dedicated partner platform at the core of the engine, issuing unique tracked links and codes and administering the performance-tier payouts.

Shopify logo

Shopify

The commerce backend where every attributed order is reconciled, providing the first-party transaction records that anchor creator attribution.

Google Analytics 4 logo

Google Analytics 4

Traces creator-driven sessions through the store, confirming how affiliate traffic behaves on site alongside the attribution the partner platform records.

BigQuery logo

BigQuery

Warehouses order, partner and traffic data together, the working layer where attribution results are joined and prepared for scoring and analysis.

dbt logo

dbt

Models the partner-scoring logic as governed, versioned transformations, so revenue, new-customer share and return-rate calculations stay consistent every quarter.

Looker Studio logo

Looker Studio

Presents the scoring dashboard used in quarterly reviews, ranking every creator on the same measures in a view the whole team shares.

Klaviyo

Connects affiliate-acquired customers to the brand's email and retention flows, showing whether creator-driven buyers come back and buy again.

Stripe logo

Stripe

Handles the performance-tier payouts to creators each cycle, replacing the invoice-chasing and manual transfers that once made reconciliation a spreadsheet exercise.

Slack API logo

Slack API

Sends automated performance notifications to the marketing team, flagging tier changes and review-ready partners without anyone digging through the dashboard.

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