Connect
SourceMedium pulls data from your platforms directly, through connectors like Fivetran, or via Google Sheets you configure.
See all integrations →Inside the Connect stage
Stop pasting exports into spreadsheets. SourceMedium connects commerce and operating systems, reconciles the differences, and delivers clean data to a maintained BigQuery foundation daily.
Building your own connectors seems easy until the first API deprecation. Then it's a full-time job.
Why teams switch to SourceMedium →50 integrations across commerce, marketing, and analytics, each with setup docs and known limitations.
Connect storefront and order systems like Shopify, Amazon, Stripe, Chargebee, ReCharge, Stay AI, and Loop.
Pull in spend and campaign data from Meta, Google Ads, TikTok, Amazon Ads, and other paid media platforms.
Bring in analytics and customer systems such as GA4, Google Search Console, HubSpot, and attribution tooling.
Every integration follows the same three-stage pipeline. Each stage has documented rules you can inspect.
SourceMedium pulls data from your platforms directly, through connectors like Fivetran, or via Google Sheets you configure.
See all integrations →Raw data is never clean. SourceMedium applies documented rules before anything reaches your reports.
Trusted data lands in modeled BigQuery tables and powers dashboards backed by the same tables you query directly.
The BigQuery data foundation →The maintained platform baseline is complete through the prior day. A few sources have known lag. Connector-specific cadence and latency are documented when confirmed.
| Source type | Typical timing |
|---|---|
| Most core integrations | Complete through the prior day; some connectors refresh throughout the day. |
| Amazon Seller/Vendor and Amazon Ads | 24 to 72 hour lag can occur because of API rate limits. |
| Configuration Sheet updates | Changes applied within about 30 minutes. |
Data movement is step one. Here's what happens after your data lands.
In 30 minutes, we will
Map your current systems and reporting gaps.
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Outline likely fit, implementation scope, and next steps.
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