Fairing vs Whatagraph
Side-by-side trajectory, velocity, and editorial themes.
Fairing pushes its post-purchase survey data deeper into the analytics stacks ecommerce teams already live in.
Fairing is concentrating on making its survey responses (attribution, NPS, demographics) a first-class data source elsewhere — Shopify Analytics, Hazel, ESPs for NPS embeds. The in-app product is getting cleanup work too: bulk recategorization of write-ins, automated reclassification of exact matches, faster monthly reporting filters. The Shopify Checkout extension story has filled in with native preview tooling.
The product's bet is shifting from 'collect post-purchase survey data' to 'become the post-purchase data layer plugged into the rest of the ecommerce stack'. The Shopify Order Metafields sync removes a real friction point — analysts no longer need to export and join. Pairing with Hazel's AI analytics suggests Fairing wants to be the data source, not the analytics destination.
More integrations with ecommerce data warehouses and CDPs are likely next, since the metafield/sync pattern is repeatable. Expect attribution-specific functionality (multi-touch reconciliation, channel mapping helpers) to land soon — recategorization tooling is foundation work for it.
Whatagraph adds Data Storage and a Snowflake source — agency reports stop waiting on live API calls.
Whatagraph is moving from 'report builder over live API connections' to 'managed data layer plus report builder.' Two recent releases anchor the shift: Data Storage lets Whatagraph store customer data on its own infrastructure with a 24-month default backfill, and Snowflake has been added as a first-party data source so warehouse tables can sit alongside paid media and web analytics in the same report. Around that, the company is filling in standard reporting depth — GeoMap widget, conditional formatting, Gauge and Heatmap widget types — plus broader integration coverage like bol. Retailer and Advertising for Benelux retail media and a rebuilt event-level CallTrackingMetrics.
The product is pushing toward becoming an agency-grade marketing reporting platform that also owns the data plumbing. Historically agencies had to choose between Whatagraph-style report builders (fast but live-API constrained) and BigQuery-based stacks (flexible but heavyweight). Whatagraph's managed Storage destination collapses that choice, and the Snowflake source pulls customer-warehouse data directly into the reporting surface — both moves widen the addressable customer set into mid-market and larger agencies.
Expect the next quarter to deepen the data layer: a SQL-style transformation interface on stored data, more warehouse sources (likely Databricks or Redshift), and a billing change that splits the storage layer from the report-builder seat licenses. The GeoMap widget will exit beta with continent-grouped drill-downs.
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