Why Triple Whale's numbers don't match Shopify (and which one is right)

Triple Whale is built to be the single source of truth for DTC operators. Most stores find out within a month that its numbers don't perfectly match Shopify Analytics. The gap is usually small (5-15%) but big enough to make you question every dashboard.

Four reasons the numbers diverge, and how to think about which to trust.

1. Attribution windows differ

Triple Whale uses its own attribution model that blends platform-reported clicks (Meta, Google) with first-party pixel events. Shopify Analytics uses last non-direct click within Shopify's own session model. Customers who get attributed to Meta in Triple Whale might be attributed to Direct in Shopify if Shopify's session expired before the conversion.

2. Refund handling

Shopify subtracts refunds from revenue immediately on refund date. Triple Whale by default reports gross revenue (pre-refund) unless you switch to the Net Revenue view. If you compare Shopify Net Sales to Triple Whale Gross Revenue, the numbers will always diverge.

3. Time-zone settings

Shopify reports in your store's primary time zone. Triple Whale reports in UTC by default unless you change it. A purchase at 11 PM PT shows up on different days in each dashboard.

4. Triple Whale's pixel captures more than Shopify's analytics

Triple Whale's Sonar pixel captures sessions and conversions even when Shopify's analytics session has expired. For stores with long consideration windows, Triple Whale catches conversions that Shopify attributes to Direct.

Which number is right?

Shopify is right for raw revenue. Triple Whale is right for blended channel attribution. They're answering different questions. Use Shopify to know what you collected; use Triple Whale to know what each channel contributed.

If the gap is over 15%, run a tracking audit. The most common cause is a Triple Whale Sonar pixel that doesn't have the right Shopify event coverage, which means it's making attribution decisions on incomplete data.