Compare GA4 purchases with store orders by transaction ID

Created by

Gilad Ronen

Actor

GA4 Ecommerce Purchase & Order Reconciliation

Compare normalized GA4 purchase and store-order exports by exact transaction ID. Review missing counterparts, duplicate IDs and comparable value differences. Tested synthetic example; replace data and scope for each new period. One completed report costs $0.25 including platform usage. No Google or store account connection.

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GA4 Ecommerce Purchase & Order Reconciliationh_murdock/ga4-order-reconciliation

purchaseRows

orderRows

matchedTransactions

flaggedTransactions

+5 fields

Input

Single property scope(required):demo-property-opaque

Export scope(required):daily-purchase-and-paid-order-exports

Purchase value basis(required):merchandise net of discounts; excludes tax and shipping

Order value basis(required):merchandise net of discounts; excludes tax and shipping

Absolute amount tolerance(required):0.01

Audit window and timezone(required):{3 fields}

Purchase export coverage(required):complete

Backend order export coverage(required):complete

Normalized purchase source(required):{1 field}

Normalized backend order source(required):{1 field}

Output fields

purchaseRows

orderRows

matchedTransactions

flaggedTransactions

unresolvedTransactions

findingCount

outOfWindowRows

reviewRequired

outcome

How it works

Sign up on Apify or log in

The GA4 Ecommerce Purchase & Order Reconciliation Actor is ready to run with the inputs already set for "Compare GA4 purchases with store orders by transaction ID". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare GA4 purchases with store orders by transaction ID" task

The GA4 Ecommerce Purchase & Order Reconciliation Actor will start running based on the input automatically. You can also change all the input fields, like single property scope, export scope, and more, to match your specific use case.

Receive the "Compare GA4 purchases with store orders by transaction ID" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as purchaserows, orderrows, matchedtransactions, and more.