What Shopify's built-in analytics offers
Shopify Analytics is genuinely good at what it does. It is included at all plan levels, requires zero configuration, and gives you a reliable view of your store's transactional performance. For a brand doing its first £50,000 in revenue, it may be everything you need.
The core Shopify analytics stack includes:
Overview dashboard
The overview dashboard shows total sales, orders, average order value, sessions, and conversion rate in a configurable date range with period-over-period comparison. The data is accurate — it comes directly from the Shopify order ledger — and updates in near real-time. You can filter by sales channel (online store, POS, wholesale) and by staff.
Reports library
Shopify Plus and Advanced plans unlock a full reports library covering sales by product, sales by traffic referrer, customer purchase frequency, returning customer rate, and a basic cohort analysis showing repeat purchase behaviour by acquisition month. These reports are well-designed and export to CSV cleanly.
Live view
The live view shows active sessions on your store in real time — useful for watching a sale launch or a press mention drive traffic. It visualises sessions on a world map and shows the number of active visitors at checkout.
Finances summary
Shopify's finance reports summarise gross sales, discounts, returns, net sales, shipping revenue, taxes collected, and payment processing fees. This is a useful starting point for monthly finance reconciliation, though it stops well short of a true P&L.
Shopify Analytics is genuinely excellent for transactional reporting. The data is accurate, the interface is clean, and the built-in cohort reports are more sophisticated than most brands realise. If you are primarily asking "how much did we sell and to whom?" — Shopify can answer that.
Where Shopify Analytics falls short
The limitations of Shopify Analytics become apparent the moment you try to connect your marketing spend to your revenue. Shopify can tell you that someone came from a paid social referrer and bought — but it cannot tell you whether the campaign that drove them was profitable, whether you are over-investing in a saturated channel, or whether a customer you acquired for £45 is likely to be worth £180 over twelve months.
No cross-channel marketing attribution
Shopify's traffic source reports attribute sessions to the last click — the referrer URL at the session level. There is no integration with ad platform spend data. You cannot see Meta ROAS, Google ROAS, or TikTok ROAS inside Shopify. You certainly cannot see blended MER. Every marketing analysis requires you to manually reconcile Shopify revenue data with your ad platform dashboards in a spreadsheet.
No customer lifetime value modelling
Shopify shows you the purchase frequency and repeat customer rate for cohorts — which is a reasonable proxy — but it does not calculate a forward-looking LTV prediction. You cannot segment by predicted LTV, identify your highest-value acquisition cohorts, or model what happens to LTV when you change acquisition mix.
No product profitability
Shopify knows your gross revenue per product and your product cost (if you have set up cost of goods). But it does not net out refund rates, ad spend allocated per product, pick-and-pack costs, or shipping contribution per SKU. It cannot tell you which products are actually profitable and which are subsidised by your bestsellers.
No marketing mix modelling
Shopify has no MMM capability whatsoever. This is not a criticism — MMM is a sophisticated statistical capability that sits outside the scope of a transactional commerce platform. But it means that for brands spending more than £50,000 per month on advertising, Shopify's analytics gives you no scientifically grounded view of channel incrementality.
No finance bridge
Connecting your Shopify revenue to a true bottom-line P&L — accounting for COGS, ad spend, returns, 3PL costs, and overheads — is not possible inside Shopify. The finance reports give you gross figures; actual profitability analysis requires a separate tool.
Limited custom reporting
Shopify's custom reports allow you to filter and group the built-in report dimensions, but you cannot create genuinely new metrics or cross-join data sources. You cannot, for example, create a report that shows net revenue per acquisition channel after deducting refunds and ad spend for that channel.
Feature comparison: Shopify Analytics vs Nuso
| Feature | Shopify Analytics | Nuso |
|---|---|---|
| Real-time sales data | Yes | Yes |
| Order and revenue reports | Yes | Yes |
| Cohort retention analysis | Basic (purchase frequency) | Full cohort retention curves |
| Customer LTV modelling | No | Predicted LTV by cohort |
| Product profitability (after COGS + returns) | COGS only (manual entry) | Full margin per SKU |
| Marketing Mix Modelling (MMM) | No | Built-in Bayesian MMM |
| Cross-channel marketing attribution | Last-click only (session referrer) | Cross-channel with MMM overlay |
| Blended MER tracking | No | Automatic, daily |
| Ad platform spend integration | No | Meta, Google, TikTok, Pinterest |
| Finance bridge (P&L) | Gross figures only | Net margin after all costs |
| AI creative tools | No | AI Studio (backgrounds, ad creatives) |
| Custom metric builder | Limited filter/group | Yes |
| Marketing calendar | No | Campaign planning with MER targets |
| Budget optimisation recommendations | No | MMM-powered budget allocator |
| Cost | Included in Shopify plan | Paid (see pricing) |
Legend: Yes / Full Partial No
Who should stay on Shopify Analytics
If any of the following describe your situation, Shopify Analytics is probably sufficient for now — and you should invest your energy in growth rather than tools:
Early-stage brands (under £500k annual revenue)
At this stage, you likely have one or two ad channels, a limited product range, and your most important metric is simply whether you are growing month-over-month. Shopify tells you that clearly. The overhead of interpreting MMM outputs or LTV models is not yet justified by the decisions it would change.
Brands with simple channel mix
If you are running only organic social and email, with no paid advertising, Shopify Analytics plus a basic email platform dashboard is all you need. There is no cross-channel attribution problem to solve if you only have one channel.
Wholesale or B2B Shopify stores
B2B stores where orders come through sales relationships rather than paid advertising have fundamentally different analytics needs. Shopify's customer and order reports may serve you well without additional tooling.
Who should use Nuso
The signal that you have outgrown Shopify Analytics is almost always the same: you are making significant marketing budget decisions based on platform-reported ROAS, and you have a nagging sense that the numbers do not quite add up. Meta says 4.0 ROAS, Google says 3.5 ROAS — but your gross margin is declining and you cannot explain why.
Nuso is designed for brands that have crossed the following thresholds:
- £500k+ annual revenue — at this level, the decisions Nuso enables (channel reallocation, product de-listing, customer segment focus) are worth far more than the tool cost
- £20k+ monthly ad spend across 2+ channels — the cross-channel attribution problem becomes material above this threshold
- Repeat purchase business — if you sell consumables, subscriptions, or fashion, LTV modelling changes how you think about acquisition economics entirely
- Scaling team with a CMO or head of growth — Nuso gives this person the analytical infrastructure to make defensible, data-driven decisions rather than gut-feel ones
- Experiencing attribution confusion — if your blended reported ROAS looks fine but your bank account disagrees, you need a measurement layer that the platforms cannot manipulate
A skincare brand spending £35,000/month on Meta and Google had platform-reported ROAS of 4.2 across both channels. After running Nuso's MMM for the first time, the model attributed 34% of their attributed revenue to baseline organic traffic that would have occurred regardless of paid spend. Their true blended MER was 2.1 — half of what the platforms reported. This is not fraud; it is the structural reality of last-touch attribution in a brand-aware category. Nuso showed them this; Shopify Analytics could not.
How to get started with Nuso alongside Shopify
Nuso connects to Shopify via the official Shopify Partner API — it reads your orders, products, and customer data in read-only mode, with no write access to your store. Setup takes approximately 10 minutes:
- Create your Nuso account at nuso.co.uk/app and start your free trial — no credit card required
- Connect your Shopify store — authorise the OAuth connection. Historical order data syncs immediately; typically 1–3 minutes for stores under 50,000 orders
- Connect your ad platforms — link Meta, Google, and TikTok Ads using the built-in OAuth connectors. Spend data syncs daily
- Review your Overview dashboard — Nuso immediately shows you blended MER, daily revenue vs. ad spend, and your gross margin by product category
- Run your first MMM — available once you have 52+ weeks of Shopify order history. The model runs in the background and delivers results within the hour
Critically, Nuso supplements Shopify Analytics rather than replacing it. Your Shopify admin remains your source of truth for order management, customer service, and operational reporting. Nuso sits on top as your analytical and marketing measurement layer — reading the same underlying data and adding the cross-channel intelligence that Shopify is not designed to provide.
You do not need to change anything about how you manage your Shopify store. The connection is passive and read-only. Your team continues using Shopify for day-to-day operations; they use Nuso to understand performance and make strategic decisions.
Explore the full Nuso Analytics feature set or Marketing tools to see exactly what is included at each plan level.
See the difference for yourself
Connect your Shopify store in 10 minutes. No credit card required. See your blended MER, product margins, and cohort LTV immediately.
Start free trial