How to Create an Access Analysis Report: Structure That Gets Read and How to Summarize Key Metrics

When you try to create an access analysis report, you often get stuck on "which metrics should I include" and "in what order should I arrange them so they get across." A report that merely lists numbers conveys neither the problems nor the actions to the reader. This article organizes the structure of an access analysis report that gets read (i.e., where the reader can understand the problems and the next actions) and how to summarize the main metrics, on the premise of GA4. Rather than tool operation steps, it focuses on the report's "template" and "how to choose metrics."

Decide the purpose of the report first

Before you start building, decide who the report is for and what it is meant to help judge. If this is vague, the metrics balloon and the report's key points become blurred. The basic approach is to change the level of detail you include according to the reader: for executives, weight the summary of results (conversions) and month-over-month figures heavily; for the front line, detail the behavioral data and the pages to improve.

The goal of a report is not "to report numbers" but "to be able to decide what to do next." Simply holding this perspective makes it easier to judge which metrics to include and which not to.

The basic structure of a report that gets read

Access analysis reports used in practice are typically built from the following four blocks. Structuring them so you can follow the numbers in the flow of "acquisition to behavior to results" makes it easier to pinpoint where the problems on the site are.

• Overall summary: summarize the main metrics such as users, sessions, and conversions together with month-over-month and year-over-year comparisons
• Acquisition: which channels (search, ads, social, referral) users came from. Look at the increase/decrease and quality of inflow
• Behavior: which pages are viewed most within the site and where users leave. Look at the engagement situation
• Results: conversions and conversion rate. Dig into which inflow and which pages led to results

These four blocks follow, from top to bottom, the user's flow of "people arrive, act within the site, and reach a result." For example, if acquisition is increasing but results are not growing, you can naturally read the data by looking for causes in the behavioral data (frequently viewed pages and exit points).

Main metrics to include in the report (GA4)

In GA4, the main KPIs are predefined, and you can grasp the basic metrics in the standard reports. The following are representative metrics to include in a report. You do not need to include all of them; select according to your purpose.

• Users: the number of people who visited the site. Represents the site's scale and acquisition power
• Sessions: the number of visits to the site. The gap from users shows how much return visitation there is
• Views (page views): the number of times pages were viewed. In GA4 this is labeled "views"
• Engagement rate: the proportion of sessions that had engagement. A gauge of whether content is being read
• Average engagement time: the average time users actively stayed on a page
• Conversions (key events): the number of times set goals such as inquiries or purchases were achieved
• Conversion rate (CVR): conversions divided by sessions. Represents the efficiency of results

Note that GA4 defines metrics differently from UA (Universal Analytics). If you build a report with the metric sensibilities of the UA era, you cannot correctly evaluate the actual situation, so it is important to choose metrics in line with GA4's definitions—for example, using engagement rate rather than bounce rate.

Tips for summarizing the main metrics

Even with the same metrics, how easily they get across changes greatly depending on how you present them. Keep in mind the following to avoid simply lining up numbers.

• Show comparisons rather than single-month figures: include month-over-month and year-over-year figures so increases and decreases are clear at a glance
• Pair absolute numbers with rates: include not only conversions but also conversion rate, showing both scale and efficiency
• Break down by segment: not just overall values, but split by channel, device, and page to pinpoint where the problems are
• Use graphs and tables appropriately: line charts for trends, pie or stacked bars for composition, and tables for rankings, depending on the purpose
• Narrow the metrics: the more metrics you include, the blurrier the key points become. Narrow down to metrics directly tied to your purpose

Include the next action as a set

The final piece that makes an access analysis report "something that works for the business" is the next action. Do not stop at merely lining up the overall summary, acquisition, behavior, and results data; present, as a set, a proposal for "what part of the site to improve and how next month, based on these results."

For example, if inflow from a particular landing page is high but the conversion rate is low, you translate the numbers into an action such as "make improving that landing page a priority measure for next month." Only when you dig in this far does the report become one on which the reader can make decisions.

Summary

An access analysis report that gets read is built from the four blocks of "acquisition to behavior to results," and the basic approach is to narrow down GA4's main metrics according to your purpose when summarizing. Show metrics as comparisons rather than single months, pair absolute numbers with rates, and use segments to pinpoint where the problems are. And finally, present the next action that translates numbers into measures. If you master this template, you will have a report that functions in practice—one on which the reader can decide the next move. For specific creation steps, please also refer to the article explaining report creation tools.