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Start with a goal and a consistent measurement setup
Choose metrics according to the job of the site. A publication may care about reach and content engagement; a service business may prioritize qualified inquiries; an online store needs reliable purchase and revenue reporting. A metric is useful when you can connect a change in it to a reader or business outcome.
- Keep the same date ranges, attribution settings, and metric definitions when comparing periods. Note seasonality, campaign changes, consent settings, and tracking changes that could affect results.
- Segment changes by source, landing page, device, or content type to investigate them; a sitewide average can conceal very different experiences.
- Keep scope and denominator in view. User-level and session-level measures describe different things, and should not be combined as if they were interchangeable.
- Validate tracking before treating a reported change as real. Missing or duplicate events, incorrect ecommerce configuration, and changing analytics settings can distort a trend.
WordPress.com has built-in Stats, with reports such as post and page traffic, author performance, downloads, and clicks; available reports depend on the setup. Its documentation also describes connecting Google Analytics separately: WordPress.com content performance reports and Google Analytics on WordPress.com. Analytics plugins differ in their reporting and data approaches, so check their current implementation and privacy details before choosing one: Vireo Analytics and Plausible Analytics.
1. Active users and new users
Use active users to understand how many distinct people interacted with the site, and new users to track first-time interaction as defined by your analytics tool. In GA4 landing-page reporting, active users are distinct users who visited a site or app; new users are unique IDs associated with first-visit events. These counts depend on identity and tracking settings, so they are not necessarily a census of every person who visited.
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Pair user counts with sessions. User counts offer an audience-reach view, while sessions describe visits; neither alone establishes that people found value or completed a goal. GA4’s definitions and available metrics are documented in its API dimensions and metrics reference.
2. Sessions and page views
A session is a visit; a page view is a page load. One person may start several sessions, and one session may include multiple page views. GA4’s default session inactivity timeout is 30 minutes, so a visit may be split into a new session after that period of inactivity.
Be careful when interpreting page-level session reports: one session can include visits to several pages. Adding session counts across page rows can therefore exceed the property’s deduplicated total. GA4 explains its session measurement in Measure sessions and user engagement.
3. Traffic sources and campaigns
Review channels, source/medium, referrals, and campaign-tagged visits to see how people reach the site. Then connect acquisition to landing pages and later actions: a source that sends many visits is not automatically the source that delivers leads, sales, or engaged readers.
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Session attribution is associated with session-start information. Use consistent UTM tags on campaign links, and avoid comparing traffic tagged under one convention with traffic tagged under another. Interpret source volume alongside the actions that matter to the site.
4. Top pages and content performance
Page views can show which posts and pages attract attention, but they do not explain what visitors did next. Pair the most-viewed content with relevant context such as engagement, downloads, outbound clicks, or conversions. A resource page might succeed through downloads even if it does not generate many page views; a high-traffic landing page may still underperform if visitors do not take its intended next step.
WordPress.com Stats can report post and page traffic, author performance, downloads, and clicks, depending on the analytics setup. Its content performance guide describes the available report types.
5. Engagement rate and bounce rate
In GA4, an engaged session is one that lasts longer than 10 seconds, includes a key event, or has at least two page or screen views. Engagement rate is the share of sessions that meet those conditions; bounce rate is its inverse. The definitions are documented in Google’s GA4 engagement and bounce rate guidance.
Interpret these percentages in context. A short visit can still answer a reader’s question, while the presence of a key event or a change in event configuration can affect whether a session is classified as engaged. Segment by landing page, source, device, or content type to find patterns rather than treating one sitewide rate as a verdict.
6. Key events and conversion rate
Choose actions that represent value for your site, such as a completed lead form, registration, download, or purchase, and configure them as key events in GA4. Decide precisely what counts as completion—for example, a successful form submission rather than a button click—then verify the event fires once when it should. Missing and duplicate events undermine conversion reporting.
GA4 provides session-based and user-based key-event rates. They have different denominators: one measures the share of sessions with a key event, while the other measures the share of users with one. Use the denominator suited to the question and keep it consistent when comparing periods. Google’s metric reference lists the available measures.
7. Revenue and average order value for stores
For an ecommerce site, connect purchase events to store reporting and read revenue with orders and conversion behavior. Validate transaction reporting, currency, and event configuration before using the figures to assess performance. Average order value is useful only when revenue and order counts are measured consistently over the same scope and period.
Do not assume GA4 total revenue means store sales alone: depending on configured events and integrations, its composition can include purchases, subscriptions, and advertising revenue. Check which revenue sources your property includes before using the total as a store-only figure. GA4’s dimensions and metrics reference documents its measurement model.
8. Organic search performance
Use Search Console clicks and click-through rate (CTR) to assess organic search performance, then investigate queries and landing pages for opportunities. Impressions show that a result appeared in search; they are not visits. A click is what can bring someone to the site.
Search Console and Analytics use different dimensions and metrics, and Google documents constraints on combining their data. Treat their reports as related views, not as identical datasets. See Google’s Google organic search traffic report for the Analytics view.
9. Core Web Vitals
Track Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS) as indicators of loading, responsiveness, and visual stability. Google’s Search Console report uses real-user field data, groups similar URLs, and describes performance at the 75th percentile over the prior 28 days. Its good thresholds are:
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| Metric | Good threshold | What it reflects |
|---|---|---|
| Largest Contentful Paint (LCP) | ≤ 2.5 seconds | Loading performance |
| Interaction to Next Paint (INP) | ≤ 200 milliseconds | Responsiveness |
| Cumulative Layout Shift (CLS) | ≤ 0.1 | Visual stability |
A URL group’s overall status reflects its weakest reported vital. The report may not include URLs without enough data, so it is not a complete inventory of every page. See the Search Console Core Web Vitals report documentation.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.10. Repeat performance checks and returning audience
This final area covers two diagnostic views: technical performance and whether an audience comes back. They answer different questions, so track them separately rather than treating them as one metric.
Repeat performance checks
WordPress core performance tests make repeated requests and report medians for browser measurements such as Server-Timing and Web Vitals. Repeats help account for expected run-to-run variation, but a lab result is not the same as the experience of all visitors. Field performance also varies with themes, plugins, hosting, WordPress version, devices, browsers, and networks.
Use lab checks to investigate controlled changes and field data to understand real-user conditions. The WordPress Performance team describes its approach in Core performance tests. A historical 2023 WordPress performance retrospective reported that mobile Core Web Vitals passing rates across WordPress sites rose from 28.31% to 36.44%, and desktop rates from 32.55% to 40.80%. Those population figures describe that historical period, not a 2026 benchmark or a target for an individual site: WordPress performance impact on Core Web Vitals in 2023.
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Compare new and returning audience trends within the same analytics tool and configuration to understand whether people come back. There is no universal target: the useful level depends on the site’s purpose, publishing cadence, audience, and measurement setup.
How to turn the metrics into a useful dashboard
Build a compact dashboard around the outcome you want, not every number your analytics platform can display. A practical selection pairs reach with intent and a diagnostic view:
- Content site: users and sessions, top landing pages, engagement, organic search clicks, and returning audience.
- Lead-generation site: sessions by source, landing-page performance, completed lead events, and the relevant key-event rate.
- Online store: sessions by source, purchase events, conversion rate, revenue, and average order value.
- Any site: Core Web Vitals field status and repeatable performance checks when investigating speed or interaction problems.
Review the same date range and definitions each time. When a number changes, first check tracking and configuration, then segment by source, page, device, or content type to locate where the change occurred. This turns the dashboard from a traffic scoreboard into a way to decide what to investigate next.
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