Data Movement

The end of
"can you download that CSV?"

Stop pasting exports into spreadsheets. SourceMedium connects your entire stack, reconciles the mess, and delivers clean data to your warehouse daily.

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Why is moving data so hard?

Building your own connectors seems easy until the first API deprecation. Then it's a full-time job.

Maintaining 40+ API connectors in-house
Debugging rate limits and schema changes
Normalizing currency and timezones manually
Explaining why GA4 doesn't match Shopify

Coverage you can audit

40+ integrations across commerce, marketing, and analytics, each with setup docs and known limitations.

Commerce and subscription

Connect storefront and order systems like Shopify, Amazon, Stripe, Chargebee, ReCharge, Stay AI, and Loop.

Marketing and ad platforms

Ingest spend and campaign data from Meta, Google Ads, TikTok, Amazon Ads, and other paid media platforms.

Analytics, attribution, and CRM

Bring in analytics and customer systems such as GA4, Google Search Console, HubSpot, and attribution tooling.

How data moves through SourceMedium

Three stages: connect your sources, reconcile the conflicts, and deliver clean data to your warehouse.

01

Connect

SourceMedium pulls data from your platforms directly, through ingestion partners, or via configuration sheets.

02

Reconcile

Raw data is never clean. SourceMedium applies documented rules before anything reaches your reports.

  • Choose financial source of truth: Shopify orders vs. payment processor vs. ad platform
  • Normalize timezones and currency across all sources
  • Explain GA4 vs. Shopify variance with documented reconciliation rules
03

Deliver

Trusted data lands in your warehouse and powers dashboards built on the same foundation.

Freshness expectations

Your data is fresh through yesterday. A few sources have known lag. Here's the breakdown.

Source type Typical timing
Most core integrations Fresh through yesterday on a 24 hour incremental schedule.
Amazon Seller/Vendor and Amazon Ads 24 to 72 hour lag can occur because of API rate limits.
Configuration Sheet updates Model updates are picked up and pushed about every 30 minutes.
How freshness works → What you can do with it →

Next steps

Data movement is step one. Here's what happens after your data lands.

How data gets modeled

Cleaning, transformation, and enrichment turn raw data into tables your team can trust.

How teams use it

Dashboards, AI, attribution, and warehouse access. Pick the surface that fits.

Where data lives

Your BigQuery warehouse. Query it directly.

Ready to stop debating the numbers?

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