The Affiliate Program Audit: A Complete Health Check Framework
A quarterly affiliate program audit takes 2-3 hours and identifies the highest-leverage improvement opportunities across publisher quality, tracking health, commission economics, and content performance. This framework covers every dimension of program health.
Publisher Base Audit
Who's in your program and who's actually working: Active publisher rate assessment: count your total approved publishers; count publishers with at least one click in the last 30 days; calculate active publisher rate (active ÷ total); flag if below 20%; identify publishers approved more than 90 days ago with zero clicks — these represent failed activations. Publisher concentration analysis: calculate the percentage of total GMV generated by your top 1, 5, and 10 publishers; flag if top 5 publishers exceed 50% of total GMV; identify which publishers are trending up (growing month-over-month) and which are declining. Publisher tier distribution: what percentage of your active publishers are Tier 1, Tier 2, and Tier 3? Is the tier distribution healthy, or is your Tier 1 being neglected or over-concentrated? Publisher type diversity: categorize your active publishers by type (content blogger, comparison site, coupon publisher, social creator, email publisher); is your publisher mix overly concentrated in one type? Coupon publisher over-concentration suggests the program may be over-relying on discount-driven conversions. Dormant publisher inventory: how many publishers have been inactive for 60-90+ days? What was their last active period? Could any be reactivated with a targeted outreach campaign? A dormant publisher with historical activity represents a warmer lead than new publisher recruitment.
Tracking Health Audit
Is your tracking actually working: Tracked conversion rate vs. industry benchmark: what is your tracked affiliate conversion rate? How does it compare to category benchmarks? Unusually low conversion rates (below 0.5% for content publishers) suggest tracking gaps, poor landing page experience, or misaligned traffic. S2S tracking status: are you running server-to-server (S2S) tracking in addition to pixel-based tracking? If not, estimate how many conversions you're losing to browser-based tracking limitations; calculate the tracking gap impact on reported ROAS. Deep link audit: test your top 20 affiliate deep links manually; do they route correctly to the intended product or landing pages? Broken or mis-routed deep links are among the most common causes of unexplained conversion rate declines. Coupon code tracking: if you use publisher-specific coupon codes, are they tracking correctly and consistently? Coupon tracking gaps lead to publisher payment disputes and undermine program trust. Fraud signal review: review conversion data for fraud signals — unrealistically high conversion rates from specific publishers (above 15%); geographic anomalies (publisher claiming conversion credit from geographies not associated with their audience); conversion velocity spikes that don't correlate with traffic spikes; these signals warrant investigation before the next payment cycle.
Commission Economics Audit
Are you paying the right amounts to the right publishers: Program-level ROAS calculation: calculate your affiliate channel ROAS for the last 90 days (total GMV ÷ total program cost including commissions + network override fees + management costs); compare against your target ROAS; below target requires investigation of whether commission rates are too high, publisher quality is declining, or conversion rates are falling. Publisher-level ROAS analysis: calculate ROAS for each active publisher; rank publishers by ROAS; identify publishers with significantly above-average ROAS (candidates for investment and commission escalation) and below-average ROAS (candidates for commission re-negotiation or program review). New customer rate by publisher: what percentage of each publisher's conversions are new customers vs. returning? Publishers with low new customer rates (below 30%) may be primarily re-attributing existing customers; this reduces the incremental value of their affiliate conversions and should be reflected in their commission economics. Commission competitiveness review: look up competitor programs on your affiliate network; are your commission rates above or below the category median? Are your cookie windows above or below the category median? Publisher EPC comparison: are your published EPC figures above or below competing programs? Above-average EPC attracts quality publishers; below-average EPC makes recruitment difficult.
Content and Campaign Performance Audit
What's working and why: Publisher content quality review: manually review the affiliate content of your top 20 publishers; is the content high quality, informative, and purchase-intent aligned? Does it include proper FTC disclosure? Are affiliate links visible and functional? Does it feature current product information and pricing? Top content identification: which specific pieces of publisher content are driving the most conversions? What content formats, topics, and products do they feature? Use this analysis to inform your next content brief package. Seasonal performance comparison: compare current quarterly performance against the equivalent prior-year quarter; identify over- and under-performing seasonal periods and plan content investment to address gaps in the upcoming year. Campaign lift analysis: for any commission uplift campaigns run in the last 90 days, calculate the lift in publisher GMV versus the equivalent non-campaign period; calculate the incremental commission cost of the rate increase; determine whether the campaign was net-positive in incremental ROAS. Next audit actions: document the three highest-priority actions identified by this audit (ranked by impact potential); assign ownership and timelines; schedule the next audit for 90 days out.