GA4 KPIs for Marketing Reports: What to Track and Why

Choosing GA4 KPIs for a weekly marketing report starts with the decisions your team needs to make—not with every metric available in the connector. This guide explains which acquisition, engagement, conversion and revenue metrics belong in a recurring report, how to interpret them, and which combinations can mislead stakeholders.

Quick answer: which GA4 KPIs should a marketing report include?

• Acquisition: active users, new users and sessions, with period comparisons.
• Engagement: engagement rate, engaged sessions and average engagement time.
• Outcomes: relevant key events and clearly defined user or session key event rates.
• Ecommerce, if implemented: purchases, purchase revenue and average order value.
• Diagnosis: landing pages, session source/medium and trends over time.

Data Studio works well for this because it connects to GA4 through a native Google connector. The report lives in Google Drive, can be shared with editors or viewers, and can be copied for another property or client. The dashboard does not replace GA4. It reduces the time spent reconstructing the same views, screenshots, and spreadsheet tabs.

Why teams put GA4 into Data Studio

GA4 is strong at collecting event-based data and letting analysts explore a question in depth. It is weaker as a recurring client or executive report. Native reports change as Google updates the interface. Explorations are easy to overwrite. Comparisons often require extra clicks. Sharing a clean, branded view with a stakeholder is harder than it should be.

A Data Studio dashboard solves a reporting problem, not a data-collection problem. Once the property is connected, the same scorecards, time series, and tables can be reused every week. Date ranges, filters, and comparisons stay visible. The conversation moves from “where do I find this?” to “what changed, and what should we do?”

That is the standard for a useful GA4 marketing report: fewer reporting steps, clearer KPI groups, and enough context to explain movement without dumping the entire GA4 catalog onto one page.

Start with decisions, not every GA4 field

A common mistake is to add every interesting metric because the connector makes it available. The result looks complete and still fails as a report. Stakeholders cannot tell which numbers matter. Analysts spend time explaining the page instead of the performance.

Build the dashboard around recurring questions:

• Are we attracting more people, or fewer?
• Are sessions becoming more useful?
• Are key actions and revenue moving in the right direction?
• Which landing pages and channels deserve more attention?
• Is the change a one-day spike or a real trend?

If a chart does not help answer one of those questions, it probably belongs in a later page or in GA4 Explorations, not on the first screen.

Users, sessions, and demand

The first KPI group should describe whether demand is growing. Users and sessions are still the simplest way to do that, as long as the dashboard is honest about what they mean.

Active users tell you how many people were active in the selected period. Sessions tell you how many visits those people produced. New versus returning users can show whether growth is coming from acquisition or from people coming back. A sessions-per-user ratio can hint at repeat engagement, but it is easy to over-read. Treat it as context, not a goal on its own.

These metrics should sit next to a comparison: previous period, previous year, or both. A dashboard that only shows “this week” forces everyone to remember last week from memory. The point of Data Studio is to make the comparison visible.

Engagement that explains quality

Traffic without quality is not useful. GA4’s engagement metrics help you see whether sessions are doing something after the click.

Engagement rate is usually more readable than bounce rate for GA4 reporting. Engaged sessions, average engagement time, and views per session help explain whether people are staying long enough to consume the page. None of these metrics should be treated as a vanity score. A support article can have a short engagement time and still be successful. A pricing page with high time on page may mean confusion rather than interest.

The useful pattern is to pair volume with quality. If users rise and engagement rate falls, the acquisition mix may have changed. If sessions are flat and engagement time rises, content or UX may be doing more of the work. A GA4 marketing report should make that pairing easy to see.

Conversions and key events

For most marketing teams, the dashboard becomes valuable when it shows outcomes. In GA4, those outcomes are key events or conversions: form submits, sign-ups, purchases, qualified leads, or other actions the business actually cares about.

Report a small set of key events, not every marked event in the property. Show conversion count, conversion rate, and, when it is reliable, conversions by source or landing page. If a team uses several conversion events of different value, separate them. Mixing a newsletter signup with a purchase into one “conversions” scorecard hides the story.

Also be careful with counting. GA4 event counts, session conversion rates, and user conversion rates answer different questions. The dashboard should pick the definition the team already uses in meetings and stay consistent. Changing the definition every month makes the report look like the business is swinging when only the formula moved.

Ecommerce and revenue, when the property has it

If the GA4 property collects ecommerce events, the dashboard should include a compact revenue block: purchase count, total revenue, average order value, and, if the data is trustworthy, items or product lists. This is one of the fastest ways for ecommerce teams to see whether traffic changes are producing money.

If ecommerce tracking is incomplete, do not fill the page with empty or misleading revenue widgets. A missing purchase event is a tracking issue, not a design issue. It is better to show the conversion events that are actually firing and note that revenue reporting depends on those events being implemented correctly.

Landing pages and content performance

Channel reports tell you where people came from. Landing pages and content reports tell you what they arrived on. Both belong in a complete GA4 marketing report.

A practical content block includes landing page, sessions, engagement rate, conversions, and revenue if available. That combination answers a weekly question: which pages attract demand, which pages hold attention, and which pages produce outcomes.

Avoid turning this into an unfiltered dump of every page path. Query parameters, thank-you pages, and thin URLs can crowd out the pages that matter. A dashboard is more useful when it highlights the main entry pages and gives analysts a way to inspect the rest. Data Studio charts can support that with a table, a search box, or a filter control.

Channel and source/medium performance

Acquisition is usually the section stakeholders ask for first. Keep it structured. Default channel group is a good summary. Source/medium is the working table for campaign diagnosis. Session campaign can sit on a paid-media page if the account runs ads.

The same pairing applies here: volume plus outcome. Sessions by channel without conversions encourage teams to chase cheap traffic. Conversions by channel without volume hide whether a channel is simply small. A useful dashboard shows both and lets the date range do the comparison.

Be cautious with last-click interpretation. Data Studio will display whatever attribution the GA4 data source is using. The dashboard should not pretend it has solved multi-touch attribution. It should make the current model readable so the team can discuss it honestly.

Time trends, not only totals

Scorecards answer “how much.” Time series answer “is this a real change?” A GA4 marketing report needs both.

Daily or weekly trends for users, sessions, engagement rate, conversions, and revenue help separate a one-day spike from a lasting shift. Comparisons against the previous period make the trend easier to brief. If the business is seasonal, a year-over-year option is more useful than a seven-day comparison alone.

Do not put twelve overlapping lines on one chart. One primary metric with a comparison line is usually clearer than a crowded combo chart that nobody can narrate.

What to leave out

A good dashboard reduces reporting friction. That means leaving some GA4 detail in GA4.

Real-time maps, every custom event, every user property, and every exploration-style breakdown do not need to live on the first page. They slow the report down and invite debates about chart design instead of performance. Use extra pages when a role needs more depth: a content page, a channel page, an ecommerce page. Keep the overview short enough that someone can brief it in a meeting.

This is also why a prebuilt structure can help. The GA4 Data Studio Template is built around those reporting groups rather than around every field the connector can return. You can still edit metrics, filters, and layout after you make your own copy.

A practical page structure

If you are designing or evaluating a GA4 marketing report, this structure stays readable:

1. Overview scorecards with period comparison
2. Trend chart for the primary demand and outcome metrics
3. Channel or source/medium table
4. Landing page or content table
5. Optional ecommerce or key-event detail

That sequence matches how most marketing conversations actually happen. What moved? Is it a trend? Where did the traffic come from? What did people land on? Did it convert?

Conclusion

A GA4 marketing report is useful when it turns a complex property into a report people can reuse. Track demand, engagement, outcomes, content, channels, and time. Compare periods. Leave the long tail of GA4 fields for investigation. The goal is not to prove that you connected every metric. The goal is to make the next marketing decision easier to explain.

How to choose KPIs for different reporting goals

For lead generation, prioritize qualified form submissions and the acquisition sources that generate them. For ecommerce, connect purchases and revenue to landing pages and channels. For content marketing, pair organic landing-page sessions with engagement and meaningful downstream actions. Do not treat a single engagement metric as proof of business impact.

GA4 KPI reporting checklist

• Define each metric before publishing a report, including whether users means active users or total users.
• Use consistent date ranges and comparisons across scorecards.
• Separate event counts from user-based and session-based rates.
• Verify ecommerce tracking before reporting revenue or average order value.
• Annotate tracking changes and investigate large discrepancies before presenting conclusions.