Analyze Affiliate Marketing Report Data in Spreadsheets

Affiliate marketing reports from networks like ShareASale, CJ Affiliate, Impact, and Rakuten export with click IDs, conversion timestamps, commission tiers, and referral URLs that need cleaning before you can calculate payout accuracy or compare channel performance. The data arrives with duplicate transaction records, mixed currency formats, and affiliate IDs that don't match your internal tracking. To analyze affiliate marketing report data, upload the network's export to DataMimi and ask which partners and offers earn the most. DataMimi has a free plan with 40 credits a month and no card needed; paid plans start at $9 a month.

Handling multi-currency commission amounts

Affiliate reports from international programs include Sale Amount and Commission Amount in the currency of each transaction, with a separate Currency Code column. Networks convert to your payout currency at month-end using rates that don't appear in the export. To analyze total commission owed, you need to apply exchange rates to each row, but using today's rate creates a mismatch with what the network will actually pay. Most networks provide a separate currency conversion report at month-end, which you have to join to the transaction export by Order ID to get the final amounts.

Reconciling reversed transactions

When a customer returns a product or cancels a subscription, the network marks the original transaction as 'reversed' or 'cancelled' and may create a new row with a negative Commission Amount. Some networks update the Status on the original row instead of adding a new one. To calculate net commission, you need to sum all Commission Amounts including negatives, but also check for duplicate Order IDs where one is marked reversed—counting both would double-subtract the commission.

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Which affiliates have the highest conversion rate How much commission is approved but not yet paid Which products generate the most affiliate revenue What percentage of clicks convert by traffic source How do commission amounts compare across different affiliate tiers

What this export contains

Affiliate ID

Affiliate Name

Click ID

Conversion Date

Sale Amount

Commission Amount

Commission Rate

Order ID

Product SKU

Referral URL

Status

Payment Date

Device Type

Country Code

Common questions

How do I analyze affiliate marketing report data when Order IDs repeat?

Sort by Order ID and Conversion Date, then use a formula to flag rows where the Order ID matches the row above. Keep the latest Conversion Date for each Order ID, which represents the final status. Most duplicates occur because networks include the same order in multiple date-range exports as it moves from pending to approved.

Why doesn't Commission Amount equal Sale Amount times Commission Rate?

Affiliate networks apply tiered commission structures, minimum payout thresholds, or flat fees that override the stated percentage. Some networks also round commission to two decimals while showing rates to four decimals, creating small mismatches. Check your program's commission rules for volume bonuses or product-specific rates that explain the difference.

How do I match Affiliate IDs to my internal partner records?

Export your internal partner list with email or company name, then use fuzzy text matching on the Affiliate Name column after trimming whitespace and converting to lowercase. Affiliate IDs change when partners rejoin or promote through sub-networks, so name-based matching catches more records than ID matching alone.

What's the fastest way to calculate total pending commission?

Filter the Status column to 'approved' or 'pending' depending on your network's terminology, then check that Payment Date is blank or null. Sum the Commission Amount column for those rows. Some networks use 'locked' or 'awaiting payment' instead of 'approved', so check your specific export's status values first.

How do I extract UTM parameters from the Referral URL column?

If URLs are encoded, use a formula to replace %20 with spaces and %3F with question marks. Then split the URL on '?' to separate the query string, and split that on '&' to get individual parameters. Look for utm_source, utm_medium, and utm_campaign. Many referral URLs are truncated at 255 characters, which cuts off parameters—those rows need manual lookup in your analytics platform.

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