Sigma Computing Consulting for DTC Brands
Put the next ad dollar where it earns the most, and stop rebuilding the same CAC and margin sheet every Monday. We build Sigma workbooks on Snowflake that answer it every morning.
The short answer
Where the Hours Go Today
- Someone pulls Shopify, Amazon and ad platform exports into a spreadsheet every morning.
- Each ad platform reports its own CAC, and none of them add up.
- Amazon profit changes after the sale as fees settle, and the sheet never catches up.
- Nobody can say which channel should get the next dollar of spend.
Sigma Workbooks We Build
- Morning Check-In
- Yesterday's sales, spend, orders and contribution margin by channel, loaded before the team starts.
- Next-Dollar Ad Spend
- Spend, new customers and margin by channel side by side, so the team can see where an extra dollar is likely to return the most.
- CAC and LTV:CAC by Channel
- Customer acquisition cost and lifetime value by first-order channel and cohort, with the CAC definition written down.
- Shopify and Amazon Margin
- Contribution margin by SKU and channel, with Amazon fees from settlement data and orders counted once across channels.
Why Sigma Fits
- Finance can work in it
- Sigma gives finance and ops a spreadsheet grid on live Snowflake data, so they can check a margin number without exporting it.
- Inputs for costs and targets
- Input tables let the team enter product costs, budgets or targets that are stored in the warehouse, instead of a side spreadsheet the reports cannot see.
- Large order tables
- Queries run in the warehouse, so the grid handles order-level and line-level tables without extracts to refresh.
2 weeks to minutes
to answer a cross-brand question for a multi-brand portfolio, on Snowflake
Read the case study
Data We Connect
- Shopify
- Amazon Seller Central
- Meta Ads
- Google Ads
- TikTok Ads and TikTok Shop
- Klaviyo
- Product cost and inventory files
- Snowflake
Common questions
Is Sigma good for DTC brands?
Sigma fits brands that already have, or plan, a Snowflake warehouse and a finance or ops team that works in spreadsheets. It is more than a single-store brand on Shopify reports usually needs.
Can Sigma show CAC and LTV:CAC by channel?
Yes, once orders, customers and ad spend are modeled together in Snowflake. We write down which CAC definition each view uses, because blended, attributed and incremental CAC answer different questions.
Can Sigma combine Shopify and Amazon margin?
Yes. We load Amazon settlement and fee data alongside Shopify orders, map SKUs across channels, and count each order once before the margin reaches Sigma.
Should we use Sigma or a packaged ecommerce analytics tool?
A packaged tool is often enough early on. Sigma on Snowflake makes sense when your margin rules differ from the tool's model or finance needs numbers that tie to the books.
How long does a Sigma build take?
It depends on how many channels and stores you have, how much history you need and the state of your product costs. We scope it on a short call.
Bring the report that eats your week
We'll look at it with you and say what Sigma would save. No pitch deck.