Data you can trust.
Infrastructure you can keep.
One e-commerce data foundation in BigQuery. Stable definitions, instant dashboards, and an AI Analyst that shows its work.
One Source Of Truth
Meta says one thing, Shopify says another. Get one view you can stand behind.
Trust is engineered
Documented definitions + automated QA (no more "which revenue is right?").
AI answers you can verify
Ask in Slack. Get the answer, visualization, plus the SQL behind it.
No lock-in
We don't hold your data hostage. If you leave, you keep the warehouse tables, dashboards, and SQL. No rebuild.
Trusted by fast-growing e-commerce brands
You know the feeling
“Is that number actually right?”
You’re about to make a call—budget, promo, inventory, forecast—and the room stalls.
Behind every growth decision is a data question. When the data is right, your team can:
SourceMedium was built to end that cycle.
How it works
Three steps. One foundation.
Our data stack is purpose built on GCP for fast growing e-commerce brands.
01 CONNECT
Unify all your first party data
Prebuilt connectors for e-commerce, ads, subscriptions, and ops. We ingest what you already run and avoid per-connector surprise bills.
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02 STANDARDIZE
Align on one set of definitions
We reconcile source differences across commerce, ads, and analytics. We define the metrics and run daily checks so definitions don’t drift.
SourceMedium
Standardized Metrics Layer
We translate raw platform data into business metrics your team recognizes. Clear definitions and SQL make it easy to understand and verify.
- Governance and QA
- 2,500 data quality tests
- Consistent definitions
- Documented metrics
- Performance
- Fast queries at scale
03 ACTIVATE
Use it everywhere your team works
BigQuery stays the source of truth. Dashboards and the AI Analyst run on the same definitions in your warehouse. Every number stays verifiable and auditable.
Infrastructure
BigQuery Foundation
We set up BigQuery the right way from day one. Datasets, naming, roles, permissions, and baseline compute come preconfigured so it stays fast and manageable as you scale.
Analytics
Dashboards
Curated dashboards that surface what matters. Use our prebuilt Looker Studio template, or bring your own BI.
AI Analyst
Verified Answers
Purpose-built for e-commerce. It answers from your standardized metrics, not a generic analytics chatbot. Ask in Slack and get the answer plus SQL you can run in BigQuery. Easy to verify. Easy to share.
AI Platform
AI Integrations
Use SourceMedium inside the AI tools you already use. Connect via MCP, call a simple REST API, and package repeatable workflows as Agent Skills.
How we operate
Everything without the stack tax.
We own the foundation end to end. We ship changes safely, keep it reliable, and keep pricing simple as you scale.
One accountable partner
One accountable owner for the foundation. No vendor handoffs. No finger pointing.
Predictable monthly pricing
No per-connector surprises. No hidden maintenance fees as you add sources and scale.
Ship changes safely
We document definition changes, test them, and roll them out without breaking trust.
Transparent by design
Access the underlying data and documented metric definitions. We manage the transformation logic. You can verify every number and extend the schema with your own models.
Built in your warehouse
The foundation lives in your BigQuery project. You keep ownership and can leave without rebuilding.
Operational rollout support
We help your team adopt dashboards and AI workflows. Not just ship tables and disappear.
Trust layer
Data you can trust.
A schema you can build on.
Trust comes from definitions you can inspect.
We keep them stable as your business changes.
Every dashboard chart and AI answer stays traceable back to warehouse logic.
No more black box AI
Finally, AI you can verify. Not a chatbot. Not another web app. An always awake e-commerce analyst that lives in Slack.
Every tool has "AI" now. Most of it is a black box. SourceMedium’s AI Analyst runs on your standardized metrics, speaks operator language, and includes SQL with every answer.
Questions you can ask
Which marketing channels are driving the best ROAS?
Meta Ads leads with 4.2x ROAS and strong conversion rates. Google Shopping drives high-intent traffic with 3.8x ROAS. YouTube performs well for awareness (2.9x ROAS) but has longer conversion cycles.
| Channel | Spend | Revenue | ROAS | Conversions |
|---|---|---|---|---|
| Meta Ads | $45,000 | $189,000 | 4.2 | 892 |
| Google Shopping | $38,500 | $146,300 | 3.8 | 751 |
| YouTube Ads | $32,000 | $92,800 | 2.9 | 445 |
| Email Marketing | $5,200 | $62,400 | 12 | 312 |
| TikTok Ads | $18,000 | $46,800 | 2.6 | 234 |
-- Analyze channel performance with ROAS and conversion metrics
SELECT
marketing_channel,
SUM(ad_spend) as total_spend,
SUM(attributed_revenue) as total_revenue,
ROUND(SUM(attributed_revenue) / NULLIF(SUM(ad_spend), 0), 1) as roas,
COUNT(DISTINCT conversion_id) as conversions
FROM `your_project.analytics.marketing_performance`
WHERE
date >= DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY)
AND marketing_channel IS NOT NULL
GROUP BY marketing_channel
ORDER BY total_spend DESC
LIMIT 5 Ready to stop debating the numbers?
Get started
Tell us a bit about your brand and stack—we’ll follow up with a quick walkthrough.
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