BigCommerce's built-in analytics shows you the basics. Knowi pulls every field from the BigCommerce REST Management API and lets you slice it any way - by product, by category, by customer cohort, joined with Google Ads spend and Stripe payouts.
Gross and net revenue, AOV, refunds, and tax by day, product, category, and sales channel in real time
Best sellers, units sold, margin by SKU, and inventory levels so you know what to restock before you stock out
Repeat purchase rate, revenue per customer, and cohort retention by first-order month and acquisition channel
Lifetime value per customer joined with acquisition cost from Google Ads and Meta to find your true ROAS
Knowi connects to BigCommerce through the REST Management API with the standard X-Auth-Token header, automatic pagination, and rate-limit handling. Pull Orders, Products, Customers, Categories, Brands, Coupons, and Store Info - or hit any endpoint via the custom query builder. Knowi calls v3 for catalog and customers and v2 for orders, so you get the full store without picking an API version yourself.
Backfills of 100K+ orders handle automatically. Incremental syncs use date_modified to fetch only changes since the last run. Production-grade out of the box - no Lambda, no Airflow, no ETL pipeline to maintain.
The questions that matter aren't in BigCommerce alone. Did this product's revenue justify its Google Ads spend? Do your BigCommerce orders reconcile to Stripe payouts? Did the Klaviyo campaign you sent last week move repeat purchase rate? Is finance in QuickBooks matching the storefront?
Knowi runs SQL-style cross-source joins across BigCommerce, Google Ads, Stripe, Klaviyo, QuickBooks, NetSuite, your data warehouse, and any REST API - all in a single query. No warehouse needed. This is the gap Glew, Metorik, and Looker Studio can't close.
"What was revenue by category last month?" "Show me my top 10 products by units sold." "Which Google Ads campaigns produce the highest BigCommerce LTV?" "Which coupons drove the most orders in Q4?"
Knowi's agentic BI understands your BigCommerce schema - orders, products, customers, categories - and returns instant visualizations. No SQL. No dashboard-builder learning curve. Most insights are one sentence away.
Generic BI tools treat BigCommerce like any other REST API. E-commerce-only point tools lock you into their dashboard. Knowi is built for both worlds.
Self-service analytics, scheduled reporting, and deployment flexibility - in one BI platform.
Drag-and-drop dashboards. Cloud9QL SQL-like syntax for transformations. Ad-hoc exploration without engineering. Search across all dashboards and datasets to find that analysis you ran three months ago in seconds.
Schedule sales reports to Slack every Monday. Get alerted when inventory drops below threshold or daily revenue dips. Email PDF dashboards to stakeholders monthly. Built-in anomaly detection on every metric.
SaaS in our cloud, single-tenant deployment for compliance, or on-premise install for customers who need data sovereignty. SOC 2 Type II compliant either way.
AI agents that understand your BigCommerce data, answer questions in plain English, and build dashboards automatically.
"What was my revenue growth this quarter?" or "show me the top 10 SKUs by units sold." Get instant results across BigCommerce and every connected source.
Agents proactively surface anomalies: revenue dips, products selling out, categories underperforming, coupons cannibalizing margin. You don't have to ask.
"Build me a store dashboard with revenue, AOV, top products, and repeat purchase rate this month." The agent picks the right visualizations and ships it.
"Which acquisition channels produce the highest BigCommerce LTV?" The agent joins Google Ads, Stripe, and BigCommerce data to find the answer.
Search across all your dashboards and saved queries by meaning. Find the cohort analysis you ran months ago without remembering its name.
Schedule reports to Slack, Teams, or email. "Send the weekly store report to #ops every Monday at 9am, with the top 5 low-stock SKUs called out."
Looking for a Glew or Metorik alternative, or evaluating BigCommerce analytics tools? Here's the honest breakdown.
| Feature | Knowi | Glew | Metorik | Looker Studio | Tableau |
|---|---|---|---|---|---|
| Native BigCommerce connector (v2 + v3) | Yes | Yes | Yes | Via add-on | Via connector |
| Pre-built sales / product / LTV / cohort templates | Yes | Yes | Yes | No | No |
| Cross-source joins (BigCommerce + Google Ads + Stripe) | Yes | Limited | No | Limited | Yes |
| Connect your own database / data warehouse | Yes | No | No | Yes | Yes |
| AI natural language queries | Yes | No | No | Limited | Limited |
| White-label embedded analytics | Yes | No | No | No | Limited |
| Multi-tenant (agency use) | Yes | Limited | No | No | Limited |
| On-premise deployment | Yes | No | No | No | Yes |
| Open Cloud9QL syntax (SQL-like transformations) | Yes | No | No | No | Limited |
BigCommerce analytics, integration, and BI - answered.
Knowi is the best BI tool for BigCommerce merchants that need to combine store data with other sources. A native connector pulls orders, products, customers, categories, brands, coupons, and store info via the BigCommerce REST Management API. Then join that data with Google Ads, Stripe, Klaviyo, and your data warehouse in a single dashboard - no ETL or warehouse required. AI natural language queries and white-label embedding round it out, which point solutions like Glew and Metorik do not offer.
Create a store-level API account in your BigCommerce control panel under Settings, API accounts, then paste the access token and store hash into Knowi's BigCommerce datasource. Knowi calls the BigCommerce REST Management API with the X-Auth-Token header, paginates through orders, products, and customers, and respects BigCommerce's rate limits. No app installation or OAuth flow is required for a store API account. Full setup guide in our BigCommerce integration docs.
Yes. Knowi calls both the BigCommerce v3 API (products, customers, categories, brands, catalog) and the v2 API (orders, coupons, order products) since order data still lives on v2. The connector handles each endpoint's pagination model automatically with page and limit parameters, so you get a complete picture of the store without choosing an API version yourself.
Yes. Knowi's BigCommerce connector pulls customer records and order history with date_created timestamps, which is what LTV and cohort retention need. Build a heatmap of cohorts by first-order month showing repeat purchase rate and revenue per customer over time. Combine with Google Ads spend to compute true LTV-to-CAC by acquisition channel and product.
Glew and Metorik are pre-packaged e-commerce analytics tools - you get the dashboards they decided to build. Knowi is a full BI platform with a native BigCommerce connector, which means you can build any dashboard, join BigCommerce with any other data source (your warehouse, internal database, custom APIs), embed dashboards in your own product, and ask questions in natural language. If you are a BigCommerce merchant who outgrows Glew or Metorik's templates, Knowi is the next step.
Yes - this is Knowi's core differentiator. Cross-source joins let you combine BigCommerce orders, Google Ads spend, and Stripe payouts in a single query. Reconcile BigCommerce revenue against Stripe deposits, attribute order revenue to Google Ads and Meta ad spend, blend Klaviyo email engagement with repeat purchase rate, or tie everything back to QuickBooks and NetSuite finance. No warehouse, no ETL.
Yes. Knowi provides white-label embedded BigCommerce analytics for agencies and SaaS apps. Embed dashboards via iframe or JavaScript SDK with SSO, multi-tenant data isolation, and full custom branding. Agencies managing multiple BigCommerce stores can build template dashboards once and deploy across clients. BigCommerce partners and agencies use this for client-facing reporting portals.
Knowi pulls Orders, Products, Customers, Categories, Brands, Coupons, and Store Info out of the box, plus a Custom Query option to hit any BigCommerce endpoint the connector does not template. Order data includes line items, totals, status, and shipping; product data includes inventory levels, pricing, and variants; customer data includes contact details and order history for LTV analysis.
Yes. Connect multiple BigCommerce stores or channels and union them into a single multi-storefront dashboard, or keep them isolated per tenant for agency use. Compare revenue, AOV, and conversion across storefronts and sales channels in one view. Knowi is multi-tenant out of the box, so each store can have its own branding, domain, and access controls.
Yes. Ask questions like "what was revenue by category last month?" or "show me my top 10 products by units sold" or "which coupons drove the most orders in Q4?". Knowi's agentic BI understands your BigCommerce schema and returns instant visualizations. Combine with cross-source joins to ask questions like "which Google Ads campaigns produced the highest BigCommerce LTV?".
Yes. Knowi is multi-tenant out of the box. Connect multiple BigCommerce stores, each with isolated data and per-store branding. Build a master sales and LTV dashboard template once, deploy across every client store with their own logo, colors, and domain. SSO API integrates with your existing agency portal. No other BigCommerce analytics tool offers this depth of white-label support.
Create a store API account. Paste the token into Knowi. Watch orders, products, and customers populate. Free 21-day trial - no credit card required.