Know what you actually made on every order
Rig brings Shopify, your ad accounts, Klaviyo, your 3PL and your accounting into one place, works out true margin after shipping and returns, and answers questions about revenue, spend and repeat rate in plain English. No data team needed.
// In plain terms
Rig is AI-native data infrastructure. Think Stripe or Vercel, but for data.
We connect all your sources, build a brain that sits on top of them, and let your team and your AI tools reach that data safely. For a consumer brand that means every order, the ad spend that won it, the parcel that shipped it and the refund that came back all read as one story, so margin is a number you can trust rather than a number you rebuild.
// What you'd build
What a consumer brand builds first
These are projects, not features. Each one is a thing brands already try to do in a spreadsheet, and each one names the systems it reads, so you can tell whether we have actually thought about your stack.
True contribution margin
Margin after cost of goods, shipping, 3PL pick-and-pack, payment fees and returns, at SKU and order level. The number most brands see once a quarter, because assembling it by hand means five exports and a reconciliation nobody has time for.
Shopify · ShipBob · Stord · Xero · Stripe
Blended CAC and channel mix
What a first-time customer actually cost this week, measured against orders in Shopify rather than against each platform's own reported conversions. Summed up, the platforms will always claim more orders than you sold.
Meta Ads · Google Ads · TikTok Ads · Amazon Ads · Shopify
Subscription cohorts and repeat rate
Subscription state joined to order history, so you can see who lapses after box two, which flow held them, and what a retained subscriber is worth against one who churns at the first renewal.
Skio · Klaviyo · Postscript · Shopify
Returns and refund leakage
Return rate by SKU, size and stated reason, netted off revenue so margin includes what came back. It is usually one size in one product line, and it is usually invisible in the storefront dashboard.
Frate Returns · parcelLab · Shopify
Stock cover and sell-through
Units on hand across every 3PL and marketplace against current run rate, so a stockout on the best seller arrives as a warning rather than as a post-mortem.
Unleashed · ShipBob · ShipHero · Mintsoft · Amazon Seller Central
Marketplace P&L
Amazon and Walmart revenue with referral fees, fulfilment charges, ad spend and returns netted off, sitting next to your own DTC margin on the same SKU. Marketplace usually looks worse than the seller dashboard says.
Amazon Seller Central · Walmart Marketplace · Amazon Ads · Sellerboard
Creator and affiliate reconciliation
Attributed orders from your creator and affiliate platforms against what was actually invoiced, so payouts match performance instead of matching whatever the platform reported.
ShopMy · Skimlinks · GoAffPro · Archive
The month-to-date tracker
The one finance view the whole business runs on, rebuilt from source every morning rather than assembled at month end once the accounts close. Suri runs theirs this way, and calls it a single source of truth across the business.
Shopify · Xero · Stripe · Klaviyo
// In production
"In just shy of two months we've flipped how these projects normally go: a solo data function is outputting what would usually take a 10+ person team."
Tal, AI and Data Strategy Manager at Suri
- 40+ sources centralised, roughly 95% of the company's, in just shy of two months
- Metric sign-off went from a quarter of back-and-forth to a single 50-minute meeting
- Running the tracker as an eval set caught errors in the tracker itself, including SKUs carrying no cost of goods and costs booked into revenue that did not belong there
- A solo data function now outputs what would usually take a 10+ person team
Your stack, connected and modelled
Rig Ingest syncs each of these into your warehouse on a schedule, and the context layer models how they join, so an order in Shopify, the spend that won it, the subscription it started and the parcel that shipped it are one story rather than four exports.
Plus 300+ SaaS tools via our integrator and webhooks. See the full library
// Proof
Consumer brands on Rig, and the companies alongside them
Suri and Hunter & Gather are the consumer brands. Every tile says what that company actually does, because a logo wall that implies ten D2C customers when we have two is worth nothing.
Sustainable oral care
Food and supplements
Consumer fintech
Homecare software
Online education
Workplace management
Hospitality tech
K-12 school software// Built on Rig
What consumer brands build on Rig
Real examples assembled from Rig's building blocks. Each one starts from data you already have in Shopify, your ad accounts and your finance tools.
Investor & board reporting
Auto-assemble the board pack from source data
Generate the monthly board and investor update straight from finance, product and CRM data, with the numbers and commentary built in minutes, not days.
minutes, not daysdbt modelling with Claude
Build and document dbt models without a data hire
Describe the model you need in plain English and Rig drafts the dbt SQL, tests and docs against your real schema, then materialises it into your warehouse.
Self-serve dashboards
Let anyone build a custom dashboard in plain English
Business teams ask for the report they need and Rig builds a governed, custom dashboard on your modelled data, so the data team stops being a ticket queue.
CleoCommon questions
Those are attribution dashboards with a fixed view of your data. Suri ran both and still ended up hand-editing spreadsheet exports, because a dashboard cannot answer a question it was not built for. Rig puts Shopify, Klaviyo, the ad platforms, your 3PL and your finance data in one governed warehouse, then lets anyone ask across all of it and build their own model on top. Suri built a cross-channel attribution model with a geo-split MMM that way.
Only if you want it to. Rig can provision and run one for you, which is the usual choice for a brand with no data team, or it can sit on top of the Snowflake, BigQuery or Postgres you already have. The context layer and the governance work the same either way.
Suri centralised roughly 95% of the company's sources in just shy of two months, across more than 40 connectors covering storefront, retail, 3PL, freight, ads and finance. A brand with a smaller stack is faster. Rig manages the syncs, so there is no pipeline for your team to babysit.
Rig does not restore the tracking that privacy changes removed, and any vendor who says otherwise is selling you something. What it does is give you the raw order, spend, subscription and survey data in one place, so you can build and test your own model rather than trusting a black box. Suri's team ran their existing finance tracker as an eval set and scored each rebuilt metric against it.
That is the normal case for a consumer brand. Suri runs a solo data function. The point of the context layer is that finance, growth and ops ask questions in plain English, in Claude or ChatGPT or a hosted dashboard, and get the same answer each time because the definitions live in one place.
Yes. Access is role based, so an agency user can be scoped to campaign and spend data without ever seeing customer records or finance. Every query is logged.
Get one number your whole team believes
Bring your Shopify, ad and finance data. We'll show you what a governed layer over it looks like on a call.