The Ecomm Analyst

Grow is a no-code, full-stack BI platform: ETL, warehousing, and visualization bundled together, sold on an unlimited-user license so the whole company can share one source of truth. Since Epicor acquired it, it has stayed pointed at general SMB business intelligence rather than any one vertical. Grow does not publish pricing, so you get a quote, and the recurring complaint in reviews is the billing model, teams report being charged for dashboards they set up long ago and no longer use. It is a fine horizontal BI tool. It is not built for e-commerce, and for a Shopify or DTC operator that shows up as work you have to do yourself.

Here is what “not built for e-commerce” costs you in practice. Grow will happily chart your Shopify revenue next to your Meta spend, but it will not tell you the two numbers are counting different things, or reconcile them for you. Deciding what counts as a conversion, stitching first-click to last-click, handling the gap between what an ad platform claims and what actually checked out: in a horizontal BI tool, that logic is yours to define and maintain. In an e-commerce-native tool, it ships as the default. That modeling work is the real price of a blank-canvas platform, and it never shows up in the quote.

If you came to Grow because you wanted your store’s numbers in one place, an e-commerce-native tool will get you there faster and usually cheaper. Here is where I would look.

ThoughtMetric

ThoughtMetric, which sponsors this blog, is the most direct answer for an operator whose real goal was understanding marketing performance, not building a company-wide BI stack. It is purpose-built for e-commerce attribution: server-side tracking and post-purchase surveys reconcile what Meta, Google, and TikTok claim against what actually converted in Shopify, reported to the SKU, with five attribution models to choose from. Pricing is transparent and pageview-based, starting at $99 a month ($83 on annual) with the full platform on every tier and no quote required. Where Grow hands you a blank warehouse, this hands you the e-commerce metrics already defined. That is the difference between shipping insight this week and staffing a BI project.

Databox

Databox is the closest general-BI alternative if you still want a horizontal dashboard tool but with published pricing and faster setup. Its connectors bring marketing, sales, and store data together with sensible defaults, users are unlimited, and paid plans start around $135 to $159 a month with cost scaling by data source rather than seat. It is the tool for a team that genuinely needs cross-functional dashboards (finance, ops, marketing in one view) but does not want a quote-gated enterprise contract to get there.

Polar Analytics

Polar Analytics is the middle path: a BI layer built specifically for Shopify merchants who do not want to manage a warehouse. It unifies store, ad, email, and marketplace data into pre-built e-commerce dashboards and has added incrementality testing. Like Grow, Polar does not list a price on its website, so a demo is the only way to a number, but unlike Grow the metrics arrive defined for e-commerce out of the box. Pick it when you want Grow’s single-source-of-truth ambition without building the e-commerce logic yourself.

Glew

Glew is the e-commerce BI option with the widest connector list, 150-plus integrations spanning stores, marketplaces, and marketing tools, aimed at online retailers, agencies, and B2B sellers. It does multichannel reporting, LTV, cohort analysis, and subscription metrics like MRR and churn. Glew does not clearly publish current pricing either, so plan on a conversation to get a figure. It is the pick when your data lives across many platforms and the breadth of integrations is the deciding factor. I covered the landscape in my Glew alternatives post.

Looker Studio

Looker Studio is the free-canvas option for teams that want maximum control over cost. The visualization layer is capable and the base product is free, but you supply the e-commerce logic and you pay for partner connectors (Supermetrics, Windsor.ai, and the like) to pull non-Google data, which can add $30 to several hundred a month. It is a reasonable landing spot for a technical operator who liked Grow’s flexibility but not its quote, as long as you accept the build-it-yourself trade.

How to choose

Grow answers a horizontal question, how does the whole company see its data, and charges accordingly. Most Shopify operators are asking a narrower one: where are my sales coming from and which products make money. If that is you, a purpose-built tool like ThoughtMetric answers it with defined metrics and published pricing, no quote and no warehouse. If you genuinely need cross-functional BI, Databox or Polar get you closer to that with less friction than a quote-gated enterprise platform. Buy for the question you actually have, and be honest about whether you needed a BI stack or just clean e-commerce reporting.