Why SourceMedium

One accountable partner for the data your business runs on.

SourceMedium connects, models, tests, and maintains your commerce data, then makes it usable through dashboards, attribution, verifiable AI, and direct BigQuery access. More flexible than an analytics app, with less operational burden than building in-house.

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Trusted by operators at 100+ e-commerce brands, including LMNT, CPAP, and Neuro.

Behind every growth decision is a data question. Most brands can't answer it.

Your team debates which numbers are right instead of deciding what to do next.
You're paying for multiple tools, and still can't get a straight answer on CAC or LTV.
Every board deck starts with a scramble to reconcile sources.
Your last data hire left. Now nobody knows how anything was built.

The symptoms appear in reporting. The root cause is a fragmented data foundation, and another dashboard does not fix it.

Warehouse, integrations, dashboards, attribution, and AI: one purchase, one vendor to hold accountable.

Connect

Connect the systems your team relies on

Prebuilt connectors for commerce, ads, subscriptions, and operations.

Model and maintain

Build one trusted data foundation

We reconcile source differences, document business definitions, run automated quality checks, and manage changes without breaking downstream reporting.

Use everywhere

Use the same governed data across AI, dashboards, attribution, and direct BigQuery access

Answers in Slack that can show their SQL, copyable Looker Studio dashboards, and standard SQL against the same tables.

What's included

1 Managed BigQuery warehouse Query directly or connect standard BigQuery-compatible tools. Customer-owned deployment is also available.

2 50 integrations Direct connections to commerce, ads, email, subscriptions, and ops.

3 Data cleaning, merging, and transformation Managed by SourceMedium with production-grade conventions.

4 7 reporting modules 20 documented views organized around recurring monitoring, diagnosis, exploration, and metric-governance work.

5 Multi-touch attribution Cross-channel reconciliation with contribution insights.

6 AI Analyst in Slack Analytical answers can show the SQL they ran; methodology answers point to their governing sources.

7 Customer Solutions Engineer Initial onboarding includes solution hours with a US-based Customer Solutions Engineer. Setup for supported standard connectors is handled by SourceMedium; your team grants access and approves the results.

All platform capabilities included. Usage terms documented before signing.

See pricing

BigQuery runs in SourceMedium's managed environment by default, with direct access to modeled tables and included compute. A customer-owned Google Cloud deployment is also available.

Connect compatible tools such as Tableau, dbt, Python, or Hex, and extend the documented schema without rebuilding the maintained foundation.

See all integrations

Direct modeled-table access

Query with standard SQL and connect BigQuery-compatible tools.

Documented schema

Consistent naming and stable definitions your data team can extend.

Portable reporting assets

Copy, customize, and reconnect retained dashboards when needed.

When your team trusts the numbers, meetings shift from 'where did you pull that?' to 'what should we do?' 4,000+ automated checks run daily to catch issues before they reach reports.

Present to the board and explain where every number came from. Onboard a new analyst: they can use the documentation from day one. Your data team builds on the maintained schema instead of losing their week to pipeline repair.

Your team stops debating dashboards and starts shipping decisions.

Explore documentation

4,000+

automated quality checks daily

180+

defined metrics

Schema commitment

supported long-term; build on it confidently

Documentation

you can actually read (and onboard new hires with)

AI Analyst is included, with answers delivered in Slack. Analytical answers can expose the underlying SQL. Documentation and methodology answers cite the governing sources.

An answer you cannot inspect is a number you still have to defend. Because the AI Analyst reads the same maintained schema as your dashboards, its answers reconcile with the reporting your team already trusts.

SQL behind analytical answers

Open the query, run it in BigQuery, verify the number.

Cited methodology

Ask how a metric is defined and the answer points to the definition that governs it.

One set of definitions

The AI reads the maintained schema your dashboards use, not a separate copy.

See the AI Analyst

If you leave, modeled data already delivered to BigQuery, customer-built SQL and models, copied dashboards, and delivered documentation remain usable. SourceMedium-managed refreshes stop after offboarding. To keep receiving fresh data, move the retained assets to a customer-managed BigQuery instance.

Delivered data remains usable

Keep the modeled data already delivered and move retained assets to a customer-managed BigQuery instance when needed.

Modeled BigQuery data can move to your Google Cloud account

Your work remains portable

Copied reporting assets, customer-built models, and SQL remain usable without starting from zero.

Copied Looker Studio dashboards can reconnect to the retained data
Customer-built SQL and models remain available
Delivered schema and metric documentation remains available

SourceMedium IP

SourceMedium-managed connectors, orchestration, monitoring, and proprietary platform code remain SourceMedium intellectual property.

Managed refreshes stop after offboarding

“If we leave, what happens to our data, dashboards, and team workflows?”

What implementation looks like

From access to the first validated output.

For supported standard connectors, SourceMedium handles authorization guidance, historical backfill, modeling, reconciliation, testing, and dashboard setup. Your team grants access, confirms key definitions, and approves the validated outputs.

Live in two weeks. The two-week target applies to a standard launch with supported connectors. Custom sources and customer dependencies can change the timeline and are scoped separately.

Operating models

Three ways to solve the problem.

Choose based on who should own the ongoing work, not only the feature checklist.

Closed analytics app

Fast to start, but limited to the product's interfaces, definitions, and supported use cases.

Best when speed and a fixed workflow matter more than direct data access.

SourceMedium

AI, dashboards, attribution, and direct BigQuery access on a single foundation that SourceMedium maintains.

Best when you need flexibility without assembling and maintaining the stack yourself.

DIY data stack

Flexible and composable, but your team owns vendor selection, implementation, modeling, QA, and maintenance.

Best when an internal data team wants to own each component.

Explore detailed comparisons

Customers

Teams stop arguing about the data.

“Thanks to SourceMedium, our team no longer wastes time debating metric definitions in meetings. Instead, we can focus on what really matters: making informed, data-driven decisions that drive results.”

“SourceMedium has future-proofed our data infrastructure. Their comprehensive solution not only supports our current needs but is also scalable as we grow. With their managed BigQuery instance, we have full control over our data, creating custom metrics and insights rapidly. This has empowered our team to answer complex business questions and focus on strategic growth initiatives.”

“SourceMedium is our command center; it helps us identify problems before they get bigger. It's easy enough for everyone on the team to use, and it empowers all people.”

Read customer stories

Ready to stop debating the numbers?

In 30 minutes, we will

Map your current systems and reporting gaps.
Show one workflow relevant to your team.
Outline likely fit, implementation scope, and next steps.

See it for yourself.

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