Affiliate EPC Comparison Worksheet with 8 Checks for 2026

What Should You Compare Before Choosing?

An affiliate EPC comparison worksheet helps publishers check whether two earnings-per-click figures use the same rules before ranking programs. Put the dates, click definition, traffic source, commission status, currency, and sample size beside each result.

The useful output is not a winner at any cost. It is a comparable set of records, plus a clear list of fields that are missing or different. If the inputs do not match, leave the offers unranked until you can align them.

Copy this worksheet header

Start with one row for each offer and reporting period. Keep separate rows when the traffic source, placement, or commission status changes.

program | network | report_start | report_end | timezone | currency | click_definition | eligible_clicks | traffic_source | placement | earnings_status | included_commission | approved_actions | reported_epc | evidence_note

The affiliate EPC comparison worksheet is a normalization record. It does not estimate future income or prove that one program will convert better for your audience. It also does not turn public commission terms into observed performance data.

Eight checks before you compare EPC

1. Name the decision and the report scope

Write down whether you are choosing which offer to test, reviewing past results, or explaining an observed result to a partner or editor. Those are different jobs. A public commission page can help you screen an offer, but it cannot supply your click denominator or your approved earnings.

Record the platform, program, publisher account, report name, filters, and export date. If one number comes from a network dashboard and another comes from a spreadsheet, preserve both source names. A later reader should be able to find the same report and reproduce the row.

2. Match the click denominator

Do not assume every platform means the same thing by clicks. One export may count all tracked clicks, while another may use unique, valid, or eligible clicks. Some dashboards also exclude suspected bot activity or apply a reporting filter.

Copy the platform's displayed definition into click_definition. If the definition is unavailable, write unknown. Do not silently replace a network count with a site analytics count. Analytics can help explain traffic, but it may not identify which clicks the affiliate program accepts for its EPC calculation.

3. Align the reporting dates and time zone

Use the same start and end dates and record the time zone. A weekly promotion, seasonal sale, or month-end report can make two otherwise similar offers look different. If the platforms use different time zones, compare an overlapping period or retain the mismatch as a limitation.

Do not add daily exports to a monthly total if the date boundaries overlap. Keep the exact report range in the worksheet so an update can be compared with the same window later.

4. Choose the earnings status

Decide whether the worksheet uses pending, approved, paid, or another commission state. Keep the choice identical across offers. Pending actions can later be declined, reversed, or adjusted, so do not present them as accepted earnings without labeling them.

For example, Awin's Publisher Transaction Report separates pending, approved, and declined transactions. Its guidance says pending transactions have not yet been validated and are not considered owed until approved. Other networks may use different labels, so confirm what each status means in the account you export.

5. Compare the same traffic source and placement

Search visitors, newsletter readers, video viewers, and coupon traffic can behave differently. A product tutorial and a generic resource page may also attract readers at different stages. Group by source and placement when the report supports it, or describe the mix if you cannot split it.

Do not treat a program-wide dashboard average as the result of your own content. If a network provides only a blended figure, mark it as network-reported and avoid comparing it directly with a page-level result.

6. Normalize currency and commission treatment

Record the original currency. If you convert values, add the exchange-rate source and date to evidence_note, and apply the same method to every offer. Do not combine currencies by removing the symbols or using an unrecorded rate.

Also record which commissions enter the numerator. Confirm whether the report includes approved or pending amounts, bonuses, adjustments, reversals, or only a selected transaction type. The Awin program details API lists fields such as EPC, conversion rate, approval percentage, validation days, and currency code for program details. That shows why a single EPC cell may need context; it does not establish one definition for every network.

7. Show the sample size beside the average

Keep the click count, approved action count, and period visible next to EPC. A result based on few clicks or actions can move sharply after one order, refund, or approval decision. There is no universal click threshold that makes every comparison reliable.

When the sample is small, label the result exploratory and wait for more observations before changing a high-traffic page or ending a program. Report the counts instead of adding false precision with extra decimal places.

8. Record attribution and confidence limits

Save the referral rule, cookie or account window, qualifying event, last-click or first-click rule, and any known exceptions. If you cannot verify one field, mark it unknown and keep it out of a confident ranking. A long attribution window does not prove that the program will credit every sale.

Add an evidence note for the source URL, capture date, report filters, and any unresolved mismatch. Then label the conclusion as comparable, directionally comparable, or not comparable. That label is a decision aid, not a statistical score.

How to use the worksheet without repeating an old comparison

This guide turns EPC comparison into a reusable row-by-row check. It complements the guide to earnings per click versus commission per sale, which explains what the measures answer, and how to calculate affiliate earnings, which covers projections. This worksheet is for aligning reports before you compare observed results.

When you are building a shortlist, directory profiles such as Splice, Kit, and Shopify can help you find programs to review. Their public profile details are not your EPC data. Verify current terms in the provider account, then fill the worksheet with your own reports when you have tracked results.

Source confidence and limitations

The worksheet fields are an operational framework, not an industry standard or a claim that every network exports the same metrics. An affiliate EPC comparison worksheet can make the inputs repeatable, but it cannot make two different reporting definitions equivalent. Awin documentation confirms that one network exposes EPC, conversion, approval, validation, currency, and transaction statuses. It does not prove that data from different networks are directly comparable.

Do not fill a missing click definition, approval rule, or currency conversion from memory. Ask the program or network for its reporting definition, save the answer, and update the row. For a broader shortlist, browse the FindAffiliates directory and confirm current offer terms before promoting a program.

FAQ

What should an affiliate EPC comparison worksheet include?

Record the program and network, reporting dates, time zone, click definition, eligible clicks, traffic source, currency, earnings status, included commission, approved actions, reported EPC, and source note.

Can I compare EPC from two different affiliate networks?

Only after checking that the click denominator, date range, traffic mix, earnings status, currency, and attribution rules are aligned. If a key definition is missing, label the comparison as limited or not comparable.

Should pending commissions count in EPC?

That depends on the decision and the platform's definition. Keep pending and approved amounts separate unless both offers report the same status and you clearly label it.

How many clicks make an EPC comparison reliable?

There is no universal threshold. Show the click and action counts, keep the time window visible, and treat a small sample as exploratory rather than conclusive.