commission mechanics
Analytics
The data that tells you which content earns commissions and which earns only traffic.
What is Analytics?
Analytics in affiliate marketing is the collection, measurement, and interpretation of data across two distinct systems — the affiliate network dashboard and web analytics — to understand which content, traffic sources, and programs are generating commissions and at what efficiency per click.
Importance of Analytics
Analytics is the mechanism through which an affiliate strategy compounds rather than stagnates. Without measurement, a productive content strategy and a counterproductive one look identical until commission statements arrive. With proper analytics — tracking EPC by content piece, conversion rate by traffic source, and reversal rate by program — an affiliate identifies which investments to scale and which to abandon within weeks rather than quarters.
Analytics In Practice
The analytics that determine whether your affiliate strategy is working are not primarily the ones in Google Analytics — they are the ones in your affiliate network dashboard, tracked at the content-piece level using Sub-IDs. A Sub-ID is a parameter appended to your affiliate tracking link that identifies the specific article, email, or campaign that generated each click and conversion. Without Sub-IDs, your dashboard shows total program commissions but cannot tell you which of your 40 articles is driving 80% of the conversions — which is where optimization decisions live. Three analytics layers to track in parallel: (1) Google Search Console: which queries bring visitors to which articles, at what CTR. (2) Google Analytics 4: which articles drive affiliate link clicks, from which traffic sources. (3) Affiliate network dashboard: commissions by Sub-ID, reversal rate by program, and EPC by traffic source where available. Combining all three reveals the full attribution chain from search query to paid commission.
Analytics Best Practices
- →Implement Sub-IDs on every affiliate link from day one — without them, dashboards show program-level totals only, making it impossible to know which articles generate conversions and which only generate clicks that never convert.
- →Set up affiliate link click tracking as custom events in Google Analytics 4 — this bridges the gap between site analytics and network dashboard, revealing which traffic sources generate affiliate clicks per article.
- →Review EPC by content piece monthly, not just total commissions — an article with 5x the average EPC should receive additional traffic investment; one with near-zero EPC despite high traffic needs a content or offer change.
- →Track reversal rate per program separately from gross commissions — the net figure after reversals is the only honest basis for program comparison and content priority decisions.
- →Monitor Google Search Console for impression drops on commercial-intent articles — a ranking decline is the earliest signal a competitor has improved their content, and updating before commission income falls is always cheaper than recovering after.
Example of Analytics
An affiliate implements Sub-IDs on all Moosend links, using the article slug as the identifier. After 90 days the dashboard reveals: the 'Moosend vs Mailchimp' comparison article generates 42% of all Moosend commissions from 18% of all clicks — an EPC of $1.84. The standalone 'Moosend review' generates 31% of commissions from 29% of clicks — an EPC of $0.80. A 'best email marketing tools' roundup generates 6% of commissions from 24% of clicks — an EPC of $0.19. Without Sub-IDs, all three look like the same program producing a blended average. With Sub-IDs, the comparison article is clearly the highest-value asset and the roundup needs either a content update or its promotional space reallocated.
Related Terms
Related Tools & Services
- Moosend Affiliate Program — Example program used to illustrate Sub-ID analytics revealing EPC by content piece
Product Reviews
Frequently Asked Questions
What analytics do I need for affiliate marketing?
Three layers: (1) Google Search Console — which queries bring visitors to which pages and at what CTR. (2) Google Analytics 4 — which pages drive affiliate link clicks from which traffic sources. (3) Your affiliate network dashboard — commissions by Sub-ID (content piece), reversal rate by program, and EPC by traffic source. Each layer answers a different question; all three together reveal the full chain from search query to paid commission.
What is a Sub-ID in affiliate analytics?
A Sub-ID is a parameter you add to affiliate links to identify the source of each click and conversion. For example, appending ?subid=moosend-vs-mailchimp to your Moosend link lets the network dashboard show which commissions came from that specific article. Without Sub-IDs, dashboards show program totals only — you cannot identify which articles drive conversions and which drive clicks that never convert, making content investment decisions essentially guesswork.
How do I measure affiliate marketing success?
The primary metric is EPC (earnings per click) by content piece and traffic source — it normalises for differences in volume and commission rates, making cross-portfolio comparison meaningful. Secondary metrics: conversion rate (quality of traffic reaching the offer), reversal rate (program reliability), and content ROI (commissions divided by production cost). Tracking all four monthly across your top programs gives you the complete picture needed for scaling and reallocation decisions.