NetNet vs Polar Analytics
Multichannel AI analytics platform unifying 45+ data sources
Polar Analytics is a data platform: 45-plus sources unified, custom reports and KPIs, server-side attribution, multi-brand and multi-market reporting. It starts around $750 a month. NetNet calculates profit for one Shopify store from $15. These serve different sizes of business, and the price difference reflects scope rather than value.
Written by Atul Tirkey · Co-founder, NetNet
Updated September 6, 2026 · 3 min read
The most useful thing this page can do is establish whether you are the customer for either product, because the gap between them is a factor of fifteen on price and they are not competing for the same store.
What Polar is
Polar Analytics describes itself as a multichannel AI analytics platform. It unifies more than forty-five data sources into one place, supports custom reports and KPIs across spend, acquisition cost, lifetime value, conversion, cohorts and inventory, runs server-side attribution, and reports across brands, stores, markets and channels.
That is a data platform. The comparison that makes sense for it is not another Shopify app — it is a data warehouse project, or hiring someone to build reporting, both of which cost considerably more than $750 a month.
What NetNet is
A Shopify profit analytics app for one store. It attaches costs to orders — goods, shipping, gateway fees, refunds, ad spend, custom cost heads — and reports gross profit, contribution margin and net profit, from $15 a month.
It has no report builder, no warehouse, no attribution model, and no path to data outside commerce and advertising. Those are boundaries rather than gaps: the product is scoped to one question and priced accordingly.
Where the line sits
The threshold is not revenue. It is how many distinct questions your reporting has to answer.
A single store asking “what is our profit, by product, by channel, by order” has a fixed set of questions. A fixed set of questions is best served by fixed reports built for them, and a custom report builder mostly adds ways to build the same report differently.
A group running three brands across two markets with subscriptions, wholesale and a retail channel has an open-ended set of questions, and every one answered by hand costs someone a day. That is the situation a platform is for.
The second threshold is proportion. At $750 a month a brand doing $80,000 in monthly revenue is spending nearly one percent of top line on analytics, which for most stores at that size exceeds their entire software budget. At $800,000 of monthly revenue the same figure is a rounding error against what it saves.
What each does that the other cannot
Polar, that NetNet cannot: unify sources beyond commerce and advertising, build custom metrics and views, report across multiple brands and markets, run server-side attribution, and support analyst-style exploration.
NetNet, that Polar does not focus on: model gateway fees including the tax charged on them with a test tool, apply per-weight and per-region shipping rules, attribute refund costs back to originating orders, override costs on individual orders, and surface contribution margin as an explicit layer.
Both lists are real. Neither product is trying to be the other, and a brand that needs the first list will not be well served by an app that costs a tenth as much.
The honest recommendation
If you run several brands or markets, or your reporting questions change monthly, or you are otherwise about to build a data warehouse, Polar deserves a conversation and this page is not going to be useful to you.
If you run one Shopify store and want to know what your orders actually left behind, a platform is more machinery than the question requires — and the $700 a month difference buys a considerable amount of inventory.
The upgrade path
Worth saying plainly, because comparison pages rarely do: outgrowing NetNet is a normal outcome rather than a failure of the tool.
A store that adds a second brand, opens a market with different tax treatment, starts selling wholesale, or reaches the point where someone is employed to build reports has changed the shape of its problem. Fixed reports on one store stop being sufficient, and no amount of cost-model depth compensates for not being able to ask a new question.
At that point the sensible move is a platform, and Polar is a reasonable candidate. What transfers is the work rather than the software — the cost model you built, the effective dates on supplier prices, the shipping rules by weight and region, the gateway configuration verified against a payout. Those are inputs any platform will need, and having established them on a smaller system means arriving at the larger one knowing what your numbers should look like.
Starting with a platform before that point tends to go the other way: a great deal of configurable capability, no established view of what the answers should be, and a subscription that dwarfs what the store is spending on anything else.
What Polar Analytics does better
Polar is a genuine data platform rather than a single-purpose app. It unifies more than forty-five sources, builds custom reports and KPIs across acquisition, retention and merchandising, runs server-side attribution, and reports across multiple brands, stores and markets. For a group that needs one warehouse-grade view, no profit calculator substitutes for that.
What NetNet does better
A cost model built rather than configured. Gateway fees as rate, flat component and the tax charged on the fee, testable against a real payout. Per-weight and per-region shipping rules matched to carrier invoices. Refunds attributed back to originating orders, per-order overrides, effective dates on supplier costs, and contribution margin as an explicit layer. A report builder can assemble any view you like of costs nobody has modelled — that is the part it cannot hand you.
Capability comparison
| Capability | NetNet | Polar Analytics |
|---|---|---|
| Scope | Profit for one Shopify store | Unified analytics across the stack |
| Data sources | Shopify, Meta, Google, carriers, gateways | 45+ sources |
| Custom reports and KPIs | Fixed reports plus CSV and Excel export | Custom report and KPI builder |
| Attribution | Spend measured against order margin | Server-side attribution tracking |
| Multi-brand and multi-market | Single store | Brands, stores, markets and channels |
| Profit layers | Gross profit, contribution margin, marketing profit, net profit | Profit and loss within a wider platform |
| Gateway fee modelling | Rate, flat fee and tax on fee, with a test tool | Not a stated focus |
| Per-weight shipping rules | Yes, plus carrier integrations | Not a stated focus |
| Retention and cohorts | New versus returning, repeat rate | LTV, cohorts and retention KPIs |
| Setup effort | Cost configuration, then automatic | Platform onboarding across sources |
| Entry price | $15/month | Around $750/month |
Pricing
| Tier | NetNet | Polar Analytics |
|---|---|---|
| Entry | $15/month, up to $5K monthly revenue ($49 at $25K) | Core from around $750/month |
| Mid | $99/month, up to $100K monthly revenue | Priced on GMV |
| Upper | $199/month, up to $250K monthly revenue | Priced on GMV, annual discounts available |
| Trial | 14 days, full access | Contact for access |
A fifteen-fold price difference is not a value judgement, it is a scope difference. Polar is priced for brands running several channels and markets where a unified data layer replaces analyst time. Below that scale the platform is not underused so much as unaffordable relative to what a single store needs.
Which one fits
Choose Polar Analytics if
- You need one reporting layer across several brands, stores or markets
- Your questions change often enough that a custom report builder pays for itself
- You have data beyond commerce and advertising that belongs in the same view
- The alternative you are pricing against is an analyst or a data warehouse project
Choose NetNet if
- You run one Shopify store and the question is profit rather than reporting breadth
- A $750 monthly subscription is a material share of what the store earns
- The costs eroding your margin are shipping, gateway fees and refunds
- You want the tool configured and useful the same week rather than after onboarding
Frequently asked questions
Why is Polar Analytics so much more expensive?
Because it is a different category. Unifying forty-five data sources, running server-side attribution and supporting custom reporting carries infrastructure and support costs a single-purpose app does not, and it is priced for brands where it replaces analyst headcount.
Is Polar a profit tracking tool?
It reports profit among many other things. Profit is one domain inside a general analytics platform rather than the centre of the product, so cost modelling detail like gateway fee tax or per-weight shipping rules is not where its depth lies.
At what size does Polar start making sense?
Roughly when you have multiple brands, stores or markets to reconcile, or when the alternative is hiring someone to build reporting. Below that a single store rarely generates enough questions to justify a custom report builder.
Can NetNet do custom dashboards?
No. It ships fixed reports plus CSV and Excel export. If you need to define your own metrics and assemble your own views, that is a real requirement NetNet does not meet and Polar does.