Northbeam vs TrueProfit vs Cifra: which Shopify profit analytics tool is right for you? Jesús Avendaño Jun 4, 2026 Revenue is a vanity number. The metric that actually tells you whether your Shopify store is healthy is net profit, what you keep after product costs, shipping, fees, and ad spend. The trouble is that Shopify's native reports stop short of that, so most stores end up choosing a dedicated profit analytics tool. Three names come up often, and they sit at very different ends of the market: Northbeam, TrueProfit, and Cifra. The hard part is that they don't really compete on the same field. One is an enterprise attribution platform, and two are affordable Shopify-native profit trackers that go head to head. This guide breaks down what each one does, who it's built for, and how to pick the one that matches your store instead of overpaying for depth you won't use or underbuying and outgrowing it in a quarter. Why this matters: most Shopify stores run net profit margins near 10% once every cost is in. A tool that shows revenue or even ROAS without tying it back to real profit can make a leaking store look healthy for months. The right profit analytics tool closes that gap, but only when its price and depth match how you actually operate. Cifra. Cifra is a Shopify-exclusive analytics platform built to answer one question, is your store making money. It pulls your Shopify sales, ad spend, and costs into real-time dashboards and surfaces the metrics that decide profit: Total Sales, Net Revenue, Contribution Margin, Blended ROAS, CAC, AOV, Returning Customers Rate, and Refund Rate, all in one view. Who it's for: Shopify stores that want trustworthy profit, ROAS, and CAC tracking with automated reporting, without an enterprise price tag or a long setup. It fits first-time sellers on the free plan and multi-store operators on the top tier. Pricing is free for up to 100 orders a month, then $29 a month on Starter (300 orders), $49 on Grow (600 orders, the recommended tier), and $149 on Advanced (3,000 orders, with multi-store reporting and custom metrics). Every plan includes all integrations, real-time data, automated reports to email and Slack, and an MCP server that lets you query your store data straight from AI agents like Claude and Cursor in plain language. Paid plans come with a 14-day free trial. What sets it apart is that AI access. Instead of building a report, you can ask "What was my Blended ROAS by channel last month?" and get the answer. Cifra also leans on blended marketing metrics, so no single ad platform takes credit it didn't earn. The trade-off is that it focuses on profit and KPI analytics rather than deep touchpoint attribution, which is a different category of tool entirely. TrueProfit. TrueProfit is a net profit analytics app that does what its name says, it shows your store's real profit in real time. It auto-tracks every cost that eats into your bottom line, including COGS, shipping, transaction fees, taxes, and custom costs, then syncs ad spend from Facebook, Google, TikTok, Bing, Snapchat, and Amazon to give you net profit at the store, product, and ad level. It also includes LTV cohort analysis, P&L reports, and scheduled email reports. Who it's for: profit-first stores and dropshippers who want a clear, real-time read on net profit, with a genuinely good mobile app for checking the business on the go. It's a longtime favorite in the dropshipping community for exactly that reason. Pricing starts at around $25 a month with a free trial, and a single subscription can cover multiple stores through an all-store dashboard. Reviews consistently praise how intuitive it is and how fast the data loads. The difference from Cifra is one of emphasis. TrueProfit is a net-profit purist with strong product-level and ad-level profit breakdowns and a standout mobile experience. Cifra leans more into blended KPI dashboards, Slack reporting, and AI access through its MCP server. Both are affordable and Shopify-native, so the right pick often comes down to whether you want net-profit depth on mobile or KPI clarity with AI access. Northbeam. Northbeam is a different animal. It's a marketing measurement platform for direct-to-consumer brands that run serious paid budgets, combining multi-touch attribution (MTA) with media mix modeling (MMM) and a feature that feeds attribution data back to platforms like Meta and TikTok to sharpen delivery. When you're spending hundreds of thousands a month, knowing precisely which channels drive incremental revenue can move real money. Who it's for: independent 2026 reviews place its sweet spot at roughly $2M to $10M in revenue, or brands spending over $250,000 a month on media. There's no free trial, plans start around $1,500 a month billed on data volume, and annual contracts are standard. The catch is weight and cost. Onboarding is heavy, there's a calibration period before the numbers settle, and you need an analyst-level user to get full value. For a store mainly trying to understand its net profit, Northbeam is far more tool than the job requires. Which should you choose? It comes down to your stage, your spend, and what kind of clarity you want. If you want clean profit, ROAS, and CAC visibility with automated reports and the ability to query your data through AI, Cifra is the most direct fit, and it starts free. If your priority is net profit above all, especially at the product and ad level, and you want to check it from your phone, TrueProfit is purpose-built for that and equally affordable. If you're a larger brand spending heavily on paid media, where precise modeled attribution genuinely changes how you allocate budget, Northbeam offers depth the other two don't attempt, at a price that only makes sense at that scale. For most Shopify stores, the real decision is Cifra versus TrueProfit, and it's less about price than about fit. Northbeam enters the picture only once your ad spend is large enough that attribution modeling would change your decisions. "Profit clarity is the goal, not attribution theater. Pick the tool that makes your real numbers obvious, and only pay for modeled attribution once your spend is big enough to act on it." Cifra Product Team Common mistakes when choosing a profit analytics tool. * Tracking revenue or ROAS but not net profit | A 3x ROAS can still lose money if your margins are thin. Always read performance against real profit. * Buying enterprise attribution too early | Paying $1,500+ a month for modeled MTA before your spend justifies it is cost with no payoff. * Forgetting hidden costs | A profit tool that doesn't capture transaction fees, shipping, and refunds will quietly overstate how healthy you are. * Choosing on price alone | Cifra and TrueProfit are both affordable, so pick on fit. AI and KPI dashboards versus net-profit depth on mobile is the real question. Frequently asked questions. What's the difference between Cifra and TrueProfit? Both are affordable, Shopify-native profit analytics tools. TrueProfit focuses on real-time net profit with strong product-level and ad-level breakdowns and a standout mobile app. Cifra leans into blended KPI dashboards, Slack reporting, and AI access through an MCP server. The right pick depends on whether you want net-profit depth on mobile or KPI clarity with AI. Is Northbeam worth it for a small Shopify store? Usually not. Northbeam is built for brands spending over roughly $250,000 a month on media. For a store mainly tracking profit, a tool like Cifra or TrueProfit covers the job for a small fraction of the cost. Which tool is best for dropshipping? TrueProfit is a longtime favorite among dropshippers because of its net-profit focus and mobile app. Cifra is also a strong fit if you want blended ROAS and CAC alongside profit, plus AI access to your data. Do these tools track net profit, not just revenue? TrueProfit and Cifra both track real profit by accounting for costs like COGS, shipping, fees, and ad spend. Northbeam is an attribution platform first, so profit is not its primary lens. How much do Shopify profit analytics tools cost? The affordable options are inexpensive. Cifra is free for up to 100 orders a month and starts at $29 on paid plans, while TrueProfit starts around $25 a month. Northbeam is the outlier, starting near $1,500 a month. Which tool works best with AI assistants? Cifra includes an MCP server on every plan, so you can query your store data directly from AI agents like Claude and Cursor in plain language. TrueProfit and Northbeam do not currently offer that kind of native AI access. Jesús Avendaño Jun 4, 2026

Northbeam adds the third leg of the attribution stool with incrementality testing. Tuesday, April 7th, 2026 - 1:21 pm No single ad measurement methodology works well anymore for brands with multiple points of sale. That is why attribution startups and consultants use phrases like "triangulation" to refer to a patchwork approach between multitouch attribution (MTA), marketing mix modeling (MMM) and incrementality testing. For the attribution and analytics company Northbeam, which released a new incrementality testing feature on Tuesday, that change has meant working "pretty aggressively" since the beginning of 2026 to "complete the trifecta of digital attribution," VP of Product Stas Goldobin told AdExchanger. Incrementality is a necessary "calibration layer" between the mainstays of MTA and MMM, Goldobin said. MTA is useful for understanding a marketing conversion or customer journey that's happened within the past day or week, especially when someone can be tracked online by conversion events and pixels. MTA helps marketers understand an individual's customer journey within a platform and a relatively short time span. MTA reporting also tends to give direct and useful insights to a marketer, who can immediately put that information to use in a campaign. (For example, MTA provides a list of retargetable online users.) MMM evaluates a far broader span of media - every cent spent by marketing, in theory - but never at an individual level. The idea, Goldobin said, is to answer questions about what might have happened with a different media mix or how much a whole channel, like Meta, might have contributed over a period of weeks or months. Incrementality sits in between, he said. Incrementality tests don't track individuals or provide user-level insights, and, unlike MTA, it takes some days or weeks to run an effective test. But incrementality measurement incorporates more of the live, digital-based data streams of MTA. "The internet is a funny place," Goldobin said. "Sometimes, pixels don't fire; sometimes, events don't get captured." Different platforms cannot reconcile when, say, an ad campaign on Meta led to a purchase on Amazon. Incrementality stitches these things together and, while it can't deterministically attribute those Meta-to-Amazon conversions, it can advise that something like 20% of conversions on one platform might be tied to ad campaigns on a different platform, or whether organic sales with one retailer can be attributed to ads from a particular online platform. Northbeam's incrementality product currently includes Meta and Google as testbed options, and the company plans to add more platforms and cover 80% of average client budgets with incrementality testing within a few months, Goldobin said. Although, he added, for the purposes of incrementality testing, Google actually breaks up into six different properties: Google Search, Google Shopping, Performance Max, Demand Gen, YouTube and Google Ads. Nobody is just "running a Google campaign," he said, at least not the omnichannel marketing operators who use Northbeam. Marketers want to know how YouTube is affecting their business or how search engagement relates to YouTube ROI. Is there anything the big platforms could do to accommodate better incrementality testing? For one thing, Goldobin said, it would be nice to be able to do more tactical experimentation and tinkering within a platform campaign. Right now, he said, the Meta and Google AI-based products "go into a full retraining and relearning cycle" whenever a change is made in the campaign, often even a small tweak. Marketers must carefully balance whether a "micro-optimization" is worth making, if the platform AI might restart its campaign training from zero. "We know the level of effort that it takes to automate executing across all of these platforms," he said. "It's not easy to do. It should be easier." Tagged in: