E-Commerce Analytics

Ecommerce analytics that answers: which channel actually drove profitable revenue?

Your store runs on Shopify, Klaviyo, Meta, TikTok, Google Ads and a finance stack that never talk to each other. Knowi joins them in place, no warehouse, no data team, no SQL. Ask in plain English, get one honest answer.

Plain-English question returning a blended Shopify, Klaviyo and ad spend chart in Knowi

Trusted by data-driven teams

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Connect Your Tools

Every tool your store runs on, natively connected

Storefront, ads, email, search, subscriptions, support and finance each keep their own numbers. Knowi connects directly to each one and blends them without moving your data into a warehouse first.

Ecommerce data sources flowing into one Knowi analytics dashboard
Shopify WooCommerce BigCommerce Amazon Google Ads Meta Ads Instagram TikTok Klaviyo Mailchimp Google Search Console Google Analytics 4 Stripe Recharge QuickBooks NetSuite Gorgias Zendesk MongoDB PostgreSQL MySQL Any REST API

View all supported data sources →

The Problem

Your store's data lives in eight tabs

Each tool reports its own version of the truth.

Every ad platform claims the same sale

Blended ROAS from actual orders ends the double-counting.

Weekly spreadsheet exports

Live cross-source joins replace the VLOOKUP ritual.

No data team

Plain-English questions. No SQL, no analyst, no queue.

Ask your store anything: instant answers from all your data sources and agents
The Basics

What is ecommerce analytics?

Ecommerce analytics combines data from every system a store runs on, storefront, ads, email, subscriptions, and finance, to measure what actually drives revenue and profit. Point tools report one slice each; an ecommerce analytics platform joins the sources in one place, so every metric is defined once and trusted.

Source setup guides: Shopify, Klaviyo, Stripe, Recharge.

Core metrics ecommerce analytics software should cover

  • Blended ROAS: total ad spend against actual store revenue, across all channels
  • Customer acquisition cost (CAC) by channel and campaign
  • Contribution margin per order and SKU, after COGS, shipping, fees, and returns
  • Customer lifetime value (LTV) by acquisition cohort
  • Repeat purchase rate and time between orders
  • Cart abandonment and checkout funnel drop-off
  • Inventory velocity and stockout risk
  • Subscription churn and MRR movement
Antelope Pets Shopify & E-Commerce

"Having all our data sources, credentials, and APIs in one place made my life way easier. It's a game changer, especially for Shopify companies that use a lot of tools and don't want to log into everything."

Jose, Antelope Pets

Antelope Pets unified dozens of tools, ad platforms, fulfillment, email and payments into one Knowi workspace.

Read more customer stories →

Capabilities

The answers point tools can't give you

Because Knowi sees every source at once, it answers the blended questions that single-tool dashboards structurally can't.

Blended ROAS and true CAC across every channel

Join Google Ads, Meta, TikTok, email and affiliate data with actual order records. Real acquisition cost and return on ad spend, not platform-reported numbers that double-count conversions.

See it on your stack →

Blended ROAS and true CAC dashboard comparing platform-reported and actual revenue
Store cost sources flowing into a full-funnel profitability waterfall from revenue to contribution margin

Contribution margin per SKU, after everything

Profit by SKU and order after COGS, shipping, fees, returns and the ads that got the click. Revenue dashboards tell you what you sold; margin dashboards tell you what you kept.

Cohort LTV, retention and subscription churn

Which acquisition cohorts still pay you in month six, tied back to channel and first product. Recharge subscriptions joined to Klaviyo engagement, so churn stops hiding between tools.

Cohort retention curves with cohort heatmap, months since first order

Real-time inventory alerts

Stock counts, fulfillment times and return rates across warehouses, with threshold alerts before stockouts cost revenue.

Embedded seller portals

White-label embedded dashboards in your marketplace or vendor portal, row-level security per seller, under your brand.

Alerts on what matters

Margin dips, CAC spikes, churn moves: anomaly detection watches the blended metrics so you don't have to.

Watch It In Action

Shopify + Recharge + Google Ads + Klaviyo, blended live

The full walkthrough: connecting a real ecommerce stack, blending the sources, and answering the questions this page is about.

Everything Included

The full feature list

One platform, one price. No add-ons for the features that matter.

Data & Modeling

  • 40+ native connectors: SQL, NoSQL, APIs, files
  • Cross-source joins without ETL or a warehouse
  • Nested JSON handling for API data
  • Cloud9QL for derived metrics and transforms
  • Scheduled refresh or direct live queries

Analytics & AI

  • Plain-English questions (NLQ) on blended data
  • AI agents that build queries and dashboards
  • MCP support: Claude and other MCP clients
  • Anomaly detection on margin, CAC, churn
  • Threshold alerts to email and Slack
  • Scheduled reports: PDF and CSV delivery

Embedding & Governance

  • White-label embedded analytics
  • Row-level security per seller or tenant
  • Single sign-on integration
  • Role-based access control
  • Cloud or your own environment
Agentic BI

Agents that work inside your data layer

Most ecommerce tools added a chat box on top of one data source. Knowi's agents operate on the blended data layer itself: they query across every connected source, build new analyses, and monitor margin, CAC, churn and inventory. MCP support means you can work with your data from Claude and other MCP clients.

Knowi agent building a margin alert workflow: blend sources, detect anomalies, alert Slack
When You Outgrow Point Tools

Where Knowi fits in the ecommerce analytics stack

Most ecommerce analytics tools solve one slice: profit trackers, DTC dashboards, attribution tools like Northbeam, or managed warehouses. Knowi combines the data layer and the BI layer in one platform.

Profit tracker apps (e.g. Lifetimely, Glew) DTC dashboards (e.g. Triple Whale, Polar) Managed warehouses (e.g. Daasity) Knowi
Data sources Shopify plus ad accounts Ecommerce tools, templated 100+ connectors into Snowflake Any source, joined in place, no warehouse required
Custom metrics Fixed reports Templated metrics, some custom Full, if you model it Build any query, metric or dashboard
Who runs it Founder Marketer Data team plus separate BI tool Anyone: plain English, no SQL, no analyst
AI None or basic Chat on templated data Bring your own Native agents on the blended data layer
Embedding Not offered Not offered Via your BI tool White-label embedded analytics built in

Comparing specific tools? Polar Analytics alternatives  ·  All comparisons

FAQ

Common questions from ecommerce teams

Can Knowi join Shopify and Klaviyo data without a data warehouse?

Yes. Knowi queries each source natively and joins the results in place, so you can tie Klaviyo flows and campaigns to actual Shopify orders without building a warehouse or ETL pipelines first.

How does blended ROAS in Knowi differ from platform-reported ROAS?

Ad platforms report conversions they attribute to themselves, which overlap across channels. Knowi measures every channel's spend against actual store revenue in one model, so the channels stop double-counting the same sale.

Does Knowi replace tools like Triple Whale or Polar Analytics?

They solve different problems. DTC dashboards give you templated ecommerce metrics quickly and are a good fit for many stores. Teams typically move to Knowi when they need sources those tools don't cover (finance, support, databases), custom metrics, or embedded analytics for a portal or product.

Can I embed ecommerce dashboards into a seller or vendor portal?

Yes. Knowi is also an embedded analytics platform: white-label dashboards, row-level security per seller or vendor, and single sign-on integration are built in.

How long does an ecommerce deployment take?

First dashboards on live data typically ship in days. Connecting sources takes minutes each; the work is deciding which questions to answer first, and our team helps with that during onboarding.

Can AI agents work directly on my commerce data?

Yes. Knowi's agents operate on the blended data layer, so they can answer plain-English questions across every connected source, build new analyses, and alert you when margin, CAC or churn moves. Knowi also supports MCP, so you can work with your data from Claude and other MCP clients.

Do I need a data warehouse for ecommerce analytics?

No. Warehouses help large teams centralize data, but Knowi queries each source natively and joins the results in place, so stores get blended reporting without building or paying for a warehouse. If you already run one, Knowi connects to it like any other source.

How do I track cart abandonment across my tools?

Cart and checkout events usually live in Google Analytics or your storefront while completed orders live in Shopify. Knowi joins the two, so you can see drop-off by funnel step, traffic source, and device, and set an alert for when abandonment spikes.

How do I calculate customer lifetime value for my store?

Join order history with acquisition data and group customers by first-purchase month. Knowi computes cohort LTV across sources, so you can see which channels and first products produce customers who are still buying in month six, not just their first-order value.

What is the best ecommerce analytics tool for my store?

It depends on what you need to see. If platform metrics are enough, your storefront's built-in analytics or a profit tracker app will do. DTC dashboards like Triple Whale or Polar fit stores focused on ad performance. Knowi fits teams that need to join sources those tools don't cover (finance, support, databases), define custom metrics, or embed dashboards in a portal or product.