Custom reporting is what Polar Analytics does best. It gives you custom dashboards and metrics on a semantic layer, so a metric defined once means the same thing in every report, plus multi-store views and a long list of connectors. Pricing is not listed on the website, so you will need a demo to get a number.
People looking for alternatives usually want one of three things: a published price, less setup, or more direct control over the data than a governed layer allows. These five take different routes to custom reporting, and each fits a different kind of team.
1. Triple Whale
Triple Whale is the closest all-in-one replacement. Its Foundation plan includes a no-code dashboard builder, a custom metric builder, a segment builder, and a SQL editor, plus a library of dashboard templates and automated reports sent to email or Slack. A warehouse export is available as an add-on. Foundation is listed at $219 a month on its Shopify listing, actual pricing depends on annual GMV, and its pricing page says paid plans are 12-month subscriptions. It suits a team with an analyst who wants to write queries without running a warehouse.
2. Looker Studio with Supermetrics
This is the build-your-own route. Looker Studio is free, and Supermetrics lists its Starter plan at $44 a month billed yearly or $55 billed monthly. You can lay out ad platform, Shopify, and spreadsheet data however you like. The catch is that ad numbers arrive as the platforms report them, so the reports will be flexible but not attributed unless you export from an attribution tool.
3. ThoughtMetric
ThoughtMetric handles custom reports on attributed performance without SQL. (Disclosure: ThoughtMetric sponsors this site.) Reports can be cut by channel, campaign, ad set, ad, product, SKU, product category, variant, discount code, country, region, city, and UTM fields, with metrics like MER, new-customer ROAS, cost per new-customer order, net sales, and refunds. Its AI Connectors let you ask Claude or ChatGPT for a one-off breakdown in plain language and get it from the same defined metrics, which is useful for the ad hoc questions that never justify a saved report. Pricing is based on monthly pageviews, starting at $99 a month for 50,000, with every feature on every plan and monthly billing. It is not a BI layer for data outside marketing and orders, and it has no SQL editor.
4. Northbeam
Northbeam includes customizable omnichannel dashboards and access to its MCP on Starter, and higher tiers add unlimited data exports and, on Enterprise, granular touchpoint exports. Starter is listed from $1,500 a month for brands spending under $1.5 million a year on ads, with month-to-month, usage-based billing for Shopify brands, and Professional is listed at $3,500 a month on annual terms. It is a reporting choice for teams whose custom reports are mostly about attributed ad performance and who want its modeling underneath, not for finance or inventory reporting.
5. Report Pundit
Report Pundit covers the store data that marketing tools ignore: orders, discounts, refunds, inventory, tax, payouts, and POS. It is free for stores with fewer than 1,000 lifetime orders, then priced by Shopify plan from $9 to $60 a month, with scheduled report delivery. It does not touch ad spend, so it pairs with any of the tools above rather than replacing Polar on its own.
Decide where your metric definitions live
The part of Polar that is hardest to replace is not the dashboards. It is the semantic layer, the agreement that “new customer” or “contribution margin” means one specific calculation everywhere. Leave without writing those definitions down, and within a quarter you will have three versions of CAC in three tools and a meeting about which one is right.
So before switching, export your metric definitions into a plain document, then list the five or six reports people actually read each week and who reads them. Most teams find two are attribution reports, two are store reports, and one combines them, and that list makes the choice above fairly obvious. If most of the list is attribution, you do not need a BI platform. If most of it mixes ad, store, and finance data, you probably do, and the real comparison is between Triple Whale and building your own in Looker Studio. I listed the reports I think are worth building in the custom reports worth building, and the Triple Whale version of this comparison is Triple Whale alternatives for custom reporting.
Picking one
- Have an analyst who writes SQL and want one platform? Triple Whale.
- Want full layout control at the lowest cost? Looker Studio with Supermetrics.
- Want custom cuts of attributed performance without SQL at a published price? ThoughtMetric (our sponsor).
- Reports are mostly about ad performance and you want view-aware modeling? Northbeam.
- Need operational store reports next to your marketing tool? Report Pundit.
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