Choosing an EC Analytics Tool: GA4 and Free Trackers vs a Revenue Dashboard

"I installed an analytics tool, but I still can't tell which numbers to look at to judge revenue." If you run an EC store, you hear this a lot.

There are plenty of tools, but the hard part of choosing isn't the number of features. It is what you want to know. What most EC owners want to know is "which channel is actually generating revenue" — in other words, a revenue decision.

Here is the conclusion up front. You choose an analytics tool by what you want to see. If you want to judge revenue in EC, the shortcut is to choose by "how quickly it gets you to the revenue numbers," not by feature count.

This article sorts the main analytics tools from the angle of "choosing by revenue." We line up GA4, free trackers, open source, and revenue-focused dashboards along selection axes.

TL;DR#

The conclusion first.

• Analytics tools split broadly into "general-purpose web analytics" and "revenue-focused dashboards"
• What EC owners want to know is usually "which channel generates revenue." General-purpose tools take more setup and analysis work
• The criterion is not feature count but "how quickly it gets you to a revenue decision" — judged on setup effort, clarity of metrics, and EC focus

1. What an analytics tool is for#

Conclusion: choose by the "numbers you want to see." For most EC owners, the goal is a revenue decision.

Analytics tools split, roughly, into two types.

One is general-purpose web analytics. GA4 and free trackers fall here. They let you see PV (page views), traffic sources, and user behavior in detail. They are feature-rich, but built for an analyst.

The other is a revenue-focused dashboard. It shows revenue, average order value, and purchase rate by channel, ready to read from the start. It fits the ad decisions EC owners make.

What matters in EC is not "are there many visits." It is "are those visits generating revenue." For the same visit count, whether it turns into revenue varies widely by channel.

2. Comparing the main tools by selection axis#

Conclusion: instead of listing features, four axes make the differences clear.

The four axes to look at:

1. Setup effort (one tag, or a build required)
2. Clarity of metrics (shown in EC terms)
3. Focus on EC revenue
4. Cost

Lined up along these axes, the main types look like this.

GA4 is free and powerful, but seeing EC revenue requires "e-commerce measurement" setup and assembling reports. Free trackers are easy but weaker at channel-level revenue analysis. Open source offers high flexibility, but build and operations take effort. None is good or bad — what matters is the fit to your goal.

3. A checklist for EC owners who choose by revenue#

Conclusion: if the goal is a revenue decision, choose on these four points.

1. Can you install it with one tag (start without a build)?
2. Can you immediately see revenue, average order value, and purchase rate by channel?
3. Are metrics shown in EC terms (revenue, order value)?
4. Can you try it for free?

The one most often overlooked is RPS (revenue per session). RPS shows revenue per visit, bundling both acquisition efficiency and order value into one metric.

RPS = Revenue / Sessions

The average purchase rate in EC is said to be around 2-3% [2]. Even a channel with a low purchase rate can grow revenue if its order value is high — and vice versa. That is exactly why "can you see purchase rate, order value, and revenue together" becomes the dividing line. For the basics of RPS, see What is RPS: the metric, formula, and how to get it in GA4.

RevenueScope's solution

General-purpose tools are feature-rich, but judging EC revenue takes setup and report building. For someone who wants to know "which channel generates revenue" right now, that is a detour.

RevenueScope is a lightweight, revenue-focused dashboard you can use by adding just one tag to GA4. It shows the four core metrics by channel — Revenue, AOV (average order value), RPS (revenue per session), and CVR (purchase rate). Adding Sessions, it presents five KPI cards that keep ad decisions simple.

RevenueScope dashboard (demo data shown). Revenue, RPS, AOV, and CVR line up on one screen by channel.

In the screen above, Google search has the highest AOV (5,000 yen) but a low RPS of 125 yen, while the email newsletter has a mid AOV (4,600 yen) yet, thanks to a high purchase rate, the highest RPS at 345 yen. The reversal — "high AOV does not mean best revenue efficiency" — is clear at a glance. Even without specialist knowledge, you can decide "shift budget to the newsletter next." That is the way of using it for those who choose by revenue.

That said, RevenueScope is not a replacement for GA4. Detailed user-behavior analysis with GA4, daily revenue decisions with RevenueScope — that complementary use is the fit.

4. FAQ#

Q. Isn't GA4 alone enough?

It is not that it falls short. But judging EC revenue requires e-commerce measurement setup and report building. Decide by weighing the effort.

Q. Are free analytics tools enough?

For grasping visit counts, yes. But many are weak at channel-level revenue analysis, which can leave revenue decisions wanting.

Q. What about open-source tools?

Privacy and customization are strong, but build and operations take resources. It comes down to whether you have a development team in-house.

Conclusion#

There are many analytics tools, but the criterion for choosing is simple. Three points.

• Choose by "the numbers you want to see," not by feature count
• For most EC owners, the goal is a revenue decision. General-purpose analytics can be a detour
• "One tag, revenue metrics visible right away" is the criterion when choosing by revenue

When the feature count overwhelms you, return to "what do I want to know." To grow revenue in EC, choose the tool that gets you to the revenue numbers fastest.

Related articles#

• Triple Whale vs RevenueScope: choosing an EC revenue-analysis tool
• DIY GA4+BI build vs RevenueScope: a TCO comparison
• What is RPS: the metric, formula, and how to get it in GA4
• Shopify GA4 revenue analysis guide

References#

• [1] Google Analytics Help "Ecommerce in Google Analytics" Help 2026
• [2] Statista "Online shopper conversion rate worldwide by industry" Statista 2024
• [3] Matomo "Matomo Analytics" matomo.org 2026
• [4] PostHog "Product analytics" posthog.com 2026
• [5] RevenueScope "RPS (revenue per session): definition and formula" /en/news/rps-revenue-per-session-guide 2026