Influencer and affiliate order attribution

D2C brands running influencer and affiliate programmes often can't answer a basic question with confidence: which specific partnerships are actually driving sales, versus which ones generated engagement without converting into orders.

Why attribution is harder than it sounds

A customer who sees an influencer's post rarely clicks straight through and buys in the same session — they might search for the brand later, or buy through a different device, or mention a discount code weeks after seeing the original post. Simple link tracking catches only the most direct path and misses a meaningful share of influenced sales, which makes performance comparisons between partners unreliable.

What this costs

Without reasonably accurate attribution, budget tends to flow toward partners who are easiest to measure — usually those driving direct, immediate clicks — rather than partners who are actually driving the most total revenue through less direct paths. That's a quiet but real inefficiency in how influencer and affiliate budget gets allocated.

What improves the picture

Unique discount codes per partner, even simple ones, catch a meaningful share of delayed or indirect purchases that link tracking alone misses. Combined with basic post-purchase attribution — a one-question "how did you hear about us" at checkout — the combined signal, while imperfect, is considerably better than either method alone, and cheap to set up.

The realistic bar

Perfect attribution isn't achievable for most D2C brands, and chasing it isn't worth the cost. A good-enough signal that lets you confidently rank your top five partners from your bottom five is usually enough to make real budget decisions — which is the actual goal.