Affiliate programs are portfolios. Like any portfolio, they carry concentration risk, have performing and non-performing assets, and need periodic rebalancing. Most program managers know their top 5 affiliates by name. Far fewer can articulate the health distribution of their full partner base -- how many are active, how many are dormant, and how many are generating revenue below their commission cost.
An iGaming operator with 400 approved affiliates might find that 180 have never sent a single click. Another 120 sent traffic but generated zero FTDs. Of the remaining 100 active partners, 12 account for 75% of revenue. That is not a healthy portfolio -- it is a dependency on 12 relationships disguised as a 400-partner program.
Identify acceleration opportunities, increase support
Stable mid-tier
Consistent but flat performance
5-15% of revenue
Evaluate if deal terms match actual value delivered
Low performers
Active but below breakeven on commission cost
2-5% of revenue
Restructure deals or graduate to higher-value activities
Dormant
Approved but no activity in 90+ days
0% of revenue
Reactivation campaign or clean removal from active roster
Never activated
Approved but never sent a single click
0% of revenue
Review onboarding funnel, remove after 180 days
Measuring Concentration Risk
Concentration risk is the single most dangerous structural problem in affiliate programs. If your top 3 affiliates generate more than 50% of program revenue, you have a fragile program -- losing one partner could cut revenue by 20% overnight. Calculate your Herfindahl-Hirschman Index (HHI) for affiliate revenue: sum the squares of each affiliate revenue share percentage. An HHI above 2,500 indicates high concentration.
Calculate revenue share percentage for each active affiliate
Determine what percentage of total revenue your top 3 and top 10 partners represent
Identify any single affiliate representing more than 15% of program revenue
Assess what happens to your P&L if your largest affiliate leaves -- model the scenario
Review contract terms for top affiliates: notice periods, exclusivity clauses, non-compete provisions
High concentration is not always bad -- it depends on the quality and stability of those relationships. But it does require contingency planning. If you cannot survive losing your top affiliate for 90 days, your program has a structural vulnerability that needs addressing.
Dormancy and Activation Analysis
A high dormancy rate often indicates an onboarding problem, not a partner quality problem. Pull the data on when each dormant affiliate was approved, what onboarding materials they received, and whether they completed any setup steps (tracking link creation, creative download, first campaign). If 60% of dormant affiliates never created a tracking link, your onboarding flow has a gap.
For Forex IB programs, dormancy patterns differ. An introducing broker may be approved and active on another platform, waiting for their first referred trader to generate enough volume to justify switching focus. Track not just click activity but also referred account registrations and first trades. A broker with 5 registered traders but no trading volume is stalled at a different point than one with zero referrals.
Key Takeaways
Segment your partner base into six categories from top performers to never-activated -- most programs have 40-50% dormant partners
Concentration risk is the most dangerous structural problem: if your top 3 affiliates control 50%+ of revenue, model the scenario of losing one
Calculate the Herfindahl-Hirschman Index to quantify concentration -- above 2,500 signals high risk
High dormancy rates usually indicate onboarding problems, not partner quality problems -- trace where partners stall in the activation funnel