The 7 Criteria to Evaluate Any
Affiliate Program

Every beginner asks the same first question: which affiliate programs should I join? Most guides answer it with a list — "here are the top 10 highest-paying programs." That advice fails within weeks because it's divorced from your traffic, your niche, and your stage.

The question you actually need answered is whether this specific program is worth your time before you apply, write content for it, and wait 30–60 days for a payout. That decision needs a filter, not a list.

What follows are the seven criteria we use at CommissionStack. Not theory — what we actually learned signing up for, running, and (in a few cases) cutting programs we'd promoted for months.

Why You Need a Framework, Not a List

A static list of "best programs" tells you nothing about fit. "Best" for a crypto blog with 50,000 monthly visitors who already know what a wallet is is not "best" for a brand-new SaaS-review site with 800 monthly visitors from SEO. The math is different. The intent is different. The acceptable cookie window is different.

A framework applies the same questions across programs so the answer reveals itself. If a program fails two of the seven, skip it — no matter how high the commission rate looks in the affiliate network dashboard.

Criterion 1: Commission Structure Fit

The first thing to check isn't the rate — it's the structure. Each model has different implications for your traffic and your content.

• CPA (cost per action) pays a fixed amount when a user completes a step. Best for high-AOV offers where each conversion is meaningful. Predictable revenue per sale but no upside if the customer expands.
• CPS (cost per sale) is a percentage of order value. Works well on e-commerce where order size varies. Smaller AOVs make this harder to justify.
• Recurring rewards you every billing cycle the customer stays. A 30% recurring rate on a $100/mo product is $30/mo for that customer's lifetime — not $30 once. This is the closest thing to real passive income and the only structure where one conversion keeps paying.
• Rev share pays a percentage of revenue (most often user-generated fees) for lifetime. CEX.IO's 30% lifetime rev share on trading fees is the canonical example — when referred users trade, you trade earn. High upside, requires send the right audience.
• Hybrid (CPA + smaller recurring OR CPA + bonus tier) is the rarest and most valuable structure. Immediate cash plus long tail.

What we learned: When we first applied to Kit (formerly ConvertKit), we almost passed on it because the headline 30% recurring rate looked like every other recurring SaaS program. What we missed: 30% lifetime recurring on a product with strong retention and a $25–$79/mo starting price meaning a single referred customer is worth roughly $9–$24/month for years. We changed our tune within a quarter.

Match the structure to your traffic. Recurring fits SaaS-review content. Rev share fits crypto-trader content. CPA fits high-ticket copy where one sale clears your hourly rate for the week.

Criterion 2: Earnings Per Click (EPC), Not the Headline %

EPC (Earnings Per Click) is what networks like PartnerStack and Impact publish — the average dollar amount earned per 100 clicks through your link. It folds conversion rate and commission value into one number. Most beginners ignore it. We didn't.

What we learned: CoinLedger publishes an EPC around $1.20–$1.80 per click on crypto-tax content. Amazon Associates publishes roughly $0.04–$0.08 per click on most categories. Both are real numbers from real traffic. CoinLedger sends 15–25x the revenue per click that Amazon does on our crypto pages — which is why Amazon sits in the "learning tool" section of our stack, not the revenue column.

Before you apply to any program, look for its published EPC, calculate your own from comparable affiliate-network reports, or estimate it from the commission rate × AOV × assumed conversion rate. If the number is below $0.50 per click and the program isn't strategically critical (Amazon, large catalog, brand halo), skip it.

Criterion 3: Cookie Duration vs Your Consideration Window

Cookie duration is the attribution window — the time after a click during which you still get credit for a conversion. 30 days is the SaaS standard. 90 days is generous. 7 days is a red flag for products with sales cycles longer than a week.

What we learned: Amazon's 24-hour cookie is brutal. Someone reads our "best monitor for programming" article on Monday, bookmarks it, comes back Saturday to buy — Amazon keeps the commission because the 24-hour window expired on Tuesday. The lesson: a cookie has to be at least as long as your reader's consideration window for the product. For SaaS, that's 30+ days. For consumer electronics, 14+ days. For impulse purchases, 24 hours is fine because nobody deliberates.

Cookie checklist:

• SaaS / high-AOV / B2B → need 30+ days minimum
• Consumer electronics / hobby products → 14+ days acceptable
• Impulse purchase / consumable → 24 hours is fine
• Crypto / finance (long research phase) → 60+ days strongly preferred
• "Subscribe and save" / recurring → 30+ days to capture trial-to-paid window

If a program's cookie is shorter than your reader's natural consideration window for that product category, you will lose commissions you actually drove. The cookie isn't a marketing detail — it's the program telling you how long your work persists.

Criterion 4: Approval Bar vs Current Traffic Stage

Programs have very different approval bars. Some approve anyone with a working email. Others require domain authority thresholds, manual content review, or a 6-week wait. The program that pays the best often has the strictest approval.

What we learned: We applied to PartnerStack as a new site and got rejected for several programs immediately. The rejection wasn't personal — enterprise programs on large networks often have automated approval criteria tied to domain age, traffic thresholds, content quality scores, and existing partner overlap. Meeting those from zero is a multi-month climb.

Direct programs from mid-sized companies, by contrast, want publishers. They have less bureaucracy, often pay better because they're not paying a network cut, and will approve you with much less traffic.

Apply stage by stage:

1. Stage 1 (0–6 months): Direct programs only. Get approved fast, get links live, prove yourself.
2. Stage 2 (6–12 months): Mid-tier networks. Bring traffic data and content portfolio to the application.
3. Stage 3 (12+ months): Premium networks and tier-1 partner programs. By now you have the proof of operation they wanted at stage 1.

The hard lesson: applying to programs above your traffic stage is wasted effort. They reject you, the rejection goes into the partner database, and reapplying later is harder. Apply where you can actually get in.

Criterion 5: Payment Threshold + Payout Cadence

Payment threshold is the minimum balance you must hit before the program cuts you a check. Payout cadence is how often the cut happens. These two numbers decide when you actually see money.

Typical patterns:

• Net-30, low threshold ($10–$50): Fast cash feedback, ideal when you're still learning.
• Net-60, mid threshold ($50–$100): Standard for SaaS and most established affiliate programs. A conversion in month 1 pays you in month 3.
• Net-90, high threshold ($100+): Difficult for beginners. Your first conversions sit there for three months before they're payable.

Threshold matters because if your first month nets $40 of revenue and the threshold is $100, you don't see a payout for 2.5 months even if every conversion is good. For beginners, a high threshold can be a silent killer — you assume the program isn't paying out when in reality the commission is sitting in escrow waiting for the threshold.

What we learned: CEX.IO pays lifetime rev share with no minimum threshold — every dollar from trading fees flows through. That makes them unlike anything else in our stack. We're happy to wait on payouts from programs with reasonable thresholds; we're unwilling to apply to programs that lock payment behind $100+ minimums when we're still small.

Choose programs whose payment terms match your cash flow needs. If you need monthly feedback to stay motivated (and most of us do), prioritize low-threshold options.

Criterion 6: Brand Pull / Merchant Conversion Rate

This is the criterion most people skip — and it's often the single biggest predictor of revenue. If the merchant has weak brand recognition, even your best content won't convert. If they have strong brand recognition, almost any honest mention will.

What we learned: NordVPN is our top performer not because of the 40% commission. It's our top performer because NordVPN has decade-spanning brand recognition and a recognizable product anyone researching VPNs has already heard of. The article does 30% of the work; the brand does the other 70%.

Compare that to a hypothetical unknown VPN affiliate program at 50% commission: even with the same content, conversion rate tanks because nobody recognizes the name. Trust transfer from your article to their checkout requires the merchant to be a known quantity.

How to assess brand pull:

• Google "product name review" — if millions of results come back, brand has pull.
• Check branded search volume (their name as a Google query). Tons of monthly searches = pull.
• Look at the merchant's own conversion data. If they have weak conversion on direct traffic, you will too from referral.
• Compare product recognition with competition. If you'd recognize five alternatives but never heard of this one, be cautious.

Strong brand pull is the single biggest lever. A 25% commission on a brand people already trust will routinely out-earn a 50% commission on an unknown alternative.

Criterion 7: Tracking Reliability

The tracking reliability of an affiliate program determines whether every conversion you drove actually credits you. Some programs attribute cleanly. Some have post-cookie hijacking, network attribution blackouts, or redirect chains that drop your ID. This is the criterion nobody evaluates upfront and everybody gets burned by.

Real failure modes we've seen:

• Redirect hijacking: Some networks use intermediate redirectors that occasionally strip your affiliate ID. Click works, conversion happens, commission goes to "direct" attribution instead of you.
• Network attribution blackouts: Some networks have known windows (often hour-long, sometimes multi-day) where their tracker fails to fire. Sales still happen, the network just doesn't see them.
• Post-cookie drop: A few programs accept the click but reject the conversion if the customer's email matches an existing marketing list — overriding the cookie with the merchant's attribution.
• Direct programs over networks: When you're starting out, direct programs typically have simpler tracking chains, fewer intermediaries, and faster issue resolution. Networks are professional but the complexity costs you reliability.

What we learned: The single biggest tracking improvement we made was switching from network-only affiliate work to a mix that prioritized direct programs first. Direct programs typically let you see the conversion pipeline end-to-end, resolve disputes faster, and pay out what was rightfully tracked. Networks are great at catalog breadth but introduce tracking risk on every link. As a beginner, weight direct programs higher than you would otherwise.

When you do use networks: pick networks with public uptime/uptime-style reporting (Impact publishes this, PartnerStack does not), test your links in incognito periodically to confirm the redirect chain still passes your ID, and keep a spreadsheet of every "lost" commission so you can compare program quality over time.

Run the Filter Before You Apply

Don't ask "is this program high-paying?" Ask seven questions:

1. Does the commission structure match my content type?
2. What's the realistic EPC, not the headline commission rate?
3. Is the cookie duration at least as long as my reader's consideration window?
4. Can I actually get approved at my current traffic stage?
5. Will the payment terms let me see my first commission in a reasonable timeframe?
6. Does the merchant have brand pull in the audience I'm reaching?
7. Is the tracking reliable enough that I trust the system's number?

Pass 5 of 7 → apply and write content for it. Pass fewer than 5 → skip it, no matter how good the program looks on paper. The goal isn't to optimize any one program to perfection; it's to build a stack where every program passes the filter and the math compounds across them.