Blufire vs Shopify Analytics: when the built-in reports stop answering the margin question
Shopify's built-in analytics is free with every plan and genuinely good: 200+ reports, gross profit by product, RFM groups, five attribution models and ShopifyQL. What it does not do is net shipping, payment fees, returns and ad spend out of every order, or tie the result to your ledger. That is the gap Blufire fills.
Every Shopify store already has analytics. Shopify's pricing page lists "200+ real-time reports, plus custom analytics" on every plan (shopify.com), and the core features are available on any subscription (help.shopify.com). That includes profit reports, customer cohorts, RFM analysis, marketing reports with five attribution models, a live view, and ShopifyQL, a query language you can now drive with plain-English questions through Sidekick (changelog.shopify.com). For many stores, that is enough, and nobody should pay for a tool before they have outgrown it. The gap shows up when the question becomes margin. Shopify defines gross profit as net sales minus cost, where cost per item is what you paid the manufacturer, excluding shipping and other costs, and profit only appears for products that had a cost recorded when they sold (help.shopify.com). Its marketing pages do not show cost, ROAS or CPA for Facebook and Google campaigns, and point you to the ad platforms for those (help.shopify.com). Blufire picks up from there. It reads your Shopify data along with Klaviyo, Google and Meta, and every view reads in CM1: revenue minus COGS, shipping, payment fees and returns. The numbers reconcile to your ledger, attribution models are compared rather than trusted, and ad spend sits next to the margin it produced. This page is a fair guide to when Shopify's own reports are enough and when they are not. Shopify facts were checked on Shopify's help centre, changelog and Australian pricing page on 30 September 2026.
Who each is for
Blufire
Blufire is margin-true analytics for Shopify brands, installed from the Shopify App Store. Every view is built on CM1 (revenue minus COGS, shipping, payment fees and returns) and reconciled to your ledger, to the dollar. Ad spend from Google and Meta sits beside the margin it produced, attribution models are compared side by side, and 13 sections apply the same maths to discounting, customer value, creative, inventory, forecasting and experiments. Price is set by trailing twelve-month revenue, from A$219 a month, with a 30-day free trial.
Shopify Analytics
Shopify Analytics is the reporting built into every Shopify store: an analytics dashboard, reports across 11 default categories (acquisition, behaviour, customers, finance, fraud, inventory, marketing, orders, profit, retail sales and sales), and Live View (help.shopify.com). Custom explorations are available on all plans (help.shopify.com), with ShopifyQL behind every report (help.shopify.com). It is included in the Shopify subscription, which in Australia runs from A$56 a month on Basic to from A$3,700 on Plus, billed monthly (shopify.com).
Side by side
| Dimension | Blufire | Shopify Analytics |
|---|---|---|
| Cost | A$219, A$429, A$995 or A$2,099 a month by revenue band; 30-day free trial | Included with the Shopify plan: A$56 Basic, A$149 Grow, A$575 Advanced, from A$3,700 Plus, monthly (https://www.shopify.com/au/pricing, checked 30 Sep 2026) |
| Profit definition | CM1: revenue minus COGS, shipping, payment fees and returns, on every order, customer, channel and SKU | Gross profit = net sales minus cost; cost per item excludes shipping and other costs (help.shopify.com) |
| Missing costs | Reads unit costs from Shopify and shows exactly which products are missing them | Profit reported only for products and variants with a cost recorded at the time of sale (help.shopify.com) |
| Ad spend | Google and Meta connected; spend read against the CM1 it produced | Facebook and Google campaigns do not show cost, ROAS, CPA or CTR in Shopify (help.shopify.com) |
| Attribution | Models compared side by side in one matrix, one published source-of-truth map; never Shopify last-touch | Last non-direct click, last click, first click, linear and any click (help.shopify.com); 30-day window, UTM-based (help.shopify.com) |
| Customer analytics | Lifetime value in margin terms, lifecycle states, margin-true RFM, personas, drill to the list | Cohort analysis, predicted spend tier, RFM analysis with 11 groups, new vs returning (help.shopify.com) |
| Ledger reconciliation | Every number reconciled to your accounting ledger, to the dollar | Finance reports within Shopify; no ledger tie-out described in the analytics help pages we checked |
| Custom reporting | Pivot and drill fixed views; CSV of the records behind any chart | Custom explorations on all plans, ShopifyQL editor, plain-English queries via Sidekick (changelog.shopify.com) |
| Causal proof | Geo-lift tests, email holdouts and ad holdouts with confidence intervals in CM1 | Not part of Shopify's built-in reports |
| Discounts and inventory | Margin verdict on each discount code; ABC x XYZ, days of cover, return-reason costs | Discounts reduce net sales and profit margin (help.shopify.com); inventory reports among the defaults (help.shopify.com) |
Honest read
Where Blufire is stronger
- Profit after every variable cost: CM1 subtracts shipping, payment fees and returns as well as COGS, where Shopify's gross profit is net sales minus product cost (help.shopify.com).
- Ad spend in the same view as margin: Google and Meta connect in one click, so each channel is read in CM1, where Shopify points you to the ad platforms for cost and ROAS (help.shopify.com).
- Honest attribution: models compared side by side and one published source-of-truth mapping, never Shopify last-touch presented as the answer.
- Ledger tie-out: every number reconciled to your accounting ledger, to the dollar, with a data health page behind each figure.
- Decisions, not just reports: a ranked queue of margin leaks, a margin verdict on every discount code, and the executive read ranking your biggest problems for your seat.
- Proof of cause: geo-lift tests and holdouts that return a verdict and a confidence interval in CM1.
- Margin-ranked audiences pushed to Klaviyo, Google or Meta, with the round trip read back in CM1.
Where Shopify Analytics is stronger
- No extra cost: it comes with every Shopify plan, and the pricing page lists 200+ real-time reports plus custom analytics on each (shopify.com).
- Native and immediate: the dashboard updates within about a minute (help.shopify.com), and Live View shows visitors, sessions and orders as they happen (help.shopify.com).
- More customer analysis than many stores realise: cohort analysis, predicted spend tier and RFM analysis with 11 groups (help.shopify.com).
- Five attribution models including linear, and cross-device storefront reporting since March 2023 (https://help.shopify.com/en/manual/reports-and-analytics/shopify-reports/report-types/default-reports/marketing-reports, https://help.shopify.com/en/manual/promoting-marketing/analyze-marketing/marketing-performance).
- Flexible querying: ShopifyQL behind every report and plain-English questions through Sidekick (changelog.shopify.com).
- Covers point-of-sale and retail too, with gross profit by POS location and retail sales reports (help.shopify.com).
Which should you choose
Choose Blufire if
- You need profit after shipping, payment fees and returns, not gross profit after product cost alone.
- You spend meaningfully on Google and Meta and want that spend judged against the margin it produced.
- You no longer trust last-click attribution and want models compared side by side.
- Your finance team needs analytics that tie out to the ledger.
- Discount codes, returns or stock are eating margin and you want them measured in dollars of CM1.
Choose Shopify Analytics if
- You are early, and product-level gross profit, sales and customer reports answer your questions today.
- Your ad spend is small, or you are happy to read cost and ROAS inside Meta and Google.
- You want to build your own reports with ShopifyQL or Sidekick rather than use a fixed analytical model.
- Budget is tight and every additional subscription needs to earn its place.