Even though you've installed GA4, Google Search Console, and Microsoft Clarity, are you just staring at the numbers? By categorizing them into discovery through search, behavior after arrival, and how the screen is used, it becomes easier to see where to make improvements next.
At NEXT SCIENCE, we manage our own Shopify, Amazon, Meta ads, LPs, and SEO, and we use these tools to check our performance. For example, if ad clicks are good but purchases aren't increasing, we don't look at search metrics; we check the transitions starting from the LP. Selecting tools based on your specific questions is the starting point.
What the three tools can answer
| Tool | Primary Question | Items to Check | Limitations |
|---|---|---|---|
| Google Search Console (GSC) | Who finds us in Google search and what are they looking for? | Search queries, pages, impressions, clicks, CTR, average position | Cannot see ads or on-site behavior. Some search queries are hidden. |
| GA4 | Where did they come from and what did they do afterward? | Traffic sources, landing pages, page views, purchase/inquiry-related events | Affected by implementation, consent, and settings. Numbers alone don't reveal psychology. |
| Microsoft Clarity | On which screen might they be getting confused? | Scrolls, Quick back, Dead clicks, cues for navigation | Cannot definitively determine reasons from behavior. Scope differs between aggregates and recordings. |
The sequence for checking is "Question → Target → Data → Hypothesis"
First, decide on one question, such as "The article is being read, but I'm not getting any consultations." Fix the target article URL, traffic source, device, and period; then look at search intent with GSC, behavior from the article to Solutions/inquiries with GA4, and usage near CTAs with Clarity.
Conversely, if the impression count itself is low, the first inspection should be GSC and the article's search intent. Fixing only the button position in Clarity won't solve the problem of not being found in search.
Using GSC data to determine if the issue is the title or the body
If there are impressions and the CTR is weak between periods with similar ranking and search query composition, check whether the title conveys the search intent. If rankings have shifted or different search queries have increased, changes in CTR cannot be judged as a result of the title alone.
If you are appearing for unexpected problems, consider adding a paragraph that answers those problems or splitting them into a separate article. There is no need to significantly rewrite titles or H1s just to change rankings.
Using GA4 to see the connection from articles to consultations
Even if both article views and Solutions page views increase, it doesn't mean the same people moved between them. Use path exploration or funnels to verify the sequence and target audience: Article → Solutions → Inquiry. Aggregating the immediate previous page via page_referrer is a helpful tool, but it is not the same as the number of direct clicks.
Distinguish between arrival at the inquiry page, form interaction, and actual consultation receipt. Do not count effective lead acquisition based on form_submit records alone; reconciliation with successful submissions and reception details is necessary.
Use Clarity to narrow down hypotheses
If they stop before the CTA, is the introduction too long? If dead clicks collect on an image, is it being mistaken for a link? If there is a lot of "quick back" behavior, does the content diverge from the expectations during ads or searches? Compare with the actual screen to choose one modification plan.
If the data obtained is only for the last 72 hours, do not treat it as evidence for the same period as 28 days of GA4. Scroll depth, time on page, and click count are all different types of behavior.
When numbers don't match, check the aggregation criteria first
GSC clicks and GA4 sessions are different metrics. Time zones, URL handling, consent, measurement omissions, and search query anonymization also differ. Do not force them to match; compare the same definitions and same periods within each tool. For small sample sizes, record the raw counts along with the rates.
When using AI, clearly state the scope and units of the provided data, and ask for table organization or hypothesis comparison. Do not ask it to supplement missing numbers, and if implementation changes are necessary, handle them only after confirming the content and impact.
For those who want to turn numbers into the next improvement
See Digital Solutions analysis and improvement support / Check the scope of our Web management support
Consult us on Web/EC improvement using GA4, GSC, and Clarity
Reference: Google Official: GA4 Funnel Exploration. For the order of site improvements, please also see 5 Perspectives for Determining Web/EC Improvement Priorities.
Author: NEXT SCIENCE / Company Information
Eyecatch: Carlos Muza / Unsplash (Image photo. Cropped to 1:1. Not our actual operational screen or measured data.)