Basedash is AI-native business intelligence for commerce brands. Connect your storefront, ads, payments, and ops — then just ask.
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Connect your data
750+ integrations+ warehouses, ad platforms, CRMs & 730 more
One source of truth
Warehouse · Semantic layer
AI data analyst
"Which channels drove the most revenue this quarter?"
Paid social leads, up 41%
Commerce overview
LiveRevenue
$1.28M
▲ 12.4%
AOV
$86
▲ 4.1%
ROAS
3.9x
▲ 0.3
Basedash is an AI-native business intelligence platform for ecommerce brands. It unifies your storefront, ad platforms, payments, email, and fulfillment data into one model, then answers questions in plain language — blended ROAS, LTV by channel, true profit per order, and inventory risk — with no SQL or dedicated BI team required.
Revenue, margin, and retention — calculated from one trusted model.
Net revenue
$1.28M
+12.4%
Blended ROAS
3.9x
+0.3
Average order value
$86
+4.1%
Repeat purchase rate
31%
+2.6pp
Contribution margin
42%
+1.8pp
Customer acquisition cost
$24
-9%
From acquisition to fulfillment, ask the questions that decide your week.
Blended ROAS and channel attribution
See which channels actually drive revenue — net of ad spend, discounts, and fees. Basedash blends Shopify, Meta, Google, and Klaviyo into one view so you stop trusting per-platform dashboards that all claim the same sale.
"Which channels drove the most revenue this quarter, net of ad spend?"
Retention and LTV cohorts
Track repeat purchase rate, time to second order, and 90-day LTV by acquisition channel. Find out which campaigns bring buyers who come back — not just one-and-done discount hunters.
"What is the 90-day LTV of customers acquired through paid social vs email?"
Inventory and SKU performance
Connect your storefront, 3PL, and ERP to spot stockouts before they happen and surface the SKUs driving margin. No more reconciling ShipHero exports against a Shopify spreadsheet by hand.
"Which SKUs are at risk of stocking out in the next 14 days?"
True profitability per order
Layer shipping, payment processing, COGS, and ad spend onto every order to see real contribution margin by product, collection, and region — not just top-line revenue.
"What is contribution margin by product category after shipping and fees?"
Subscription and repeat revenue
For subscription and replenishment brands, monitor active subscribers, churn, MRR, and upgrade rate from Recharge and Stripe alongside your one-time orders in a single model.
"How is subscriber churn trending versus new subscriptions this month?"
Daily commerce briefing
Every morning, an AI agent scans yesterday's sales, spend, and inventory and posts the things that moved to Slack — a revenue spike, a creative that's fatiguing, a SKU running low.
"What changed in the business yesterday that I should know about?"
Get instant answers, uncover important trends, and make confident decisions faster.
Connect your own warehouse, or use Basedash Warehouse to visualize all your data in one place.
See all 750+ integrationsConnect your commerce stack
Basedash integrates with the tools every modern brand already runs on.
Shopify
Orders, products, and customers
Stripe
Payments and processing fees
Klaviyo
Email and SMS revenue
Meta Ads
Paid social spend and ROAS
Google Ads
Search and Shopping spend
Amazon Seller
Marketplace orders and fees
Attentive
SMS marketing performance
ShipHero
Fulfillment and inventory
Recharge
Subscriptions and retention
Gorgias
Support tickets and CSAT
NetSuite
ERP, COGS, and finance
GA4
Site traffic and behavior
Plus 750+ more data sources. See all integrations
Basedash vs commerce dashboards
Why brands move from per-platform dashboards and spreadsheets to one AI-native model.
| Capability | Basedash | Other tools |
|---|---|---|
| AI-generated commerce dashboards | Yes | No |
| Blended, multi-touch attribution | All channels in one model | Last-click, per-platform |
| Profit after COGS, shipping, and fees | Built in | Manual spreadsheets |
| Natural language questions | Yes | SQL or rigid templates |
| Data sources | 750+ integrations | Shopify + a few ad platforms |
| Your own warehouse and SQL | Yes | Locked to their model |
| Time to first dashboard | Minutes | Days to weeks |
| Embedded analytics for partners | Yes | Rarely |
Ecommerce analytics FAQ
What metrics should an ecommerce brand track?
The core set is net revenue, average order value (AOV), blended ROAS and MER, customer acquisition cost (CAC), repeat purchase rate, 90-day LTV, contribution margin after COGS/shipping/fees, and inventory sell-through. Basedash calculates these automatically once your storefront, ad platforms, and payments are connected.
How is blended ROAS different from platform ROAS?
Platform ROAS (the number Meta or Google reports) counts every sale each platform thinks it influenced, so the totals double-count and overstate performance. Blended ROAS divides total revenue by total ad spend across all channels using one source of truth, giving you a single honest number you can actually budget against.
Which ecommerce tools does Basedash connect to?
Basedash connects to Shopify, Stripe, Klaviyo, Meta Ads, Google Ads, Amazon Seller, Attentive, Recharge, ShipHero, Gorgias, NetSuite, GA4, and 750+ sources in total — plus any warehouse like BigQuery, Snowflake, or Postgres. You can connect directly or sync through your existing warehouse.
Can Basedash replace a tool like Triple Whale or a spreadsheet?
For most brands, yes. Basedash covers attribution, profitability, retention, and inventory in one place — and because it sits on your own data model, you're not locked into someone else's definitions. You can always drop into SQL or connect your warehouse when you need more depth.
Do I need a data analyst to use it?
No. Anyone on the team can ask a question like "what's our repeat rate by first product purchased?" and get a governed chart back. A semantic layer keeps metric definitions consistent, so the numbers in a marketer's dashboard match the ones in the founder's board deck.
How does Basedash handle profitability?
Basedash layers COGS, shipping, payment processing fees, and ad spend onto every order so you see real contribution margin — by product, collection, channel, or region — instead of just top-line revenue. That's the number that tells you whether a discount or a new acquisition channel is actually working.