Can the Google Analytics API help me find out which pages users visit after faq.html?

Other Questions Google Analytics
1

I’m trying to understand user behavior on my website, specifically where users navigate after visiting the faq.html page. My goal is to utilize the Google Analytics API for this analysis.

I built a query using pagePath and nextPagePath as dimensions along with pageViews as the metric. Additionally, I applied a filter: ga:pagePath=~faq.html to target the faq.html page.

const analyticsQuery = {
  dimensions: ['pagePath', 'nextPagePath'],
  metrics: ['pageViews'],
  filters: 'ga:pagePath=~faq.html'
};

Unfortunately, the response showed both pagePath and nextPagePath as faq.html, which doesn’t help me understand user navigation beyond that page. Is there an alternative method or setting that might allow me to better track the pages users go to after checking out faq.html?

2

try the behavior flow report instead of api queries. go to Behavior > Behavior Flow in your GA dashboard and set faq.html as the starting point. much easier than dealing with the nextPagePath dimension, which is always buggy anyway.

3

The nextPagePath dimension in GA is pretty unreliable - it only grabs the immediate next page in a session and often returns inconsistent data or just repeats the same page. Here’s what actually works: Use the Reporting API v4 with sequential segments or cohort analysis instead. Create a custom segment for users who hit faq.html, then track where they go next within whatever timeframe you want. You could also set up custom events or parameters to follow specific user paths from your FAQ page. Or try this workaround: pull all sessions that include faq.html visits, then rebuild the user paths yourself by sorting pageviews by timestamp. It’s more work on your end, but you’ll have full control over how the analysis runs.

4

Yeah, GA’s API is frustrating for path analysis. The nextPagePath dimension is basically useless for what you’re trying to do.

I hit the same wall last year analyzing user flows from product pages. Wasted tons of time fighting GA’s weird dimensions and segments.

What worked was pulling raw session data and automating the analysis. I built a workflow that grabs all pageview events, filters sessions with faq.html visits, then rebuilds user paths by timestamp.

You can analyze any path pattern - not just next pages, but 3, 4, or more page sequences. Plus you get clean data without GA’s filtering mess.

I used Latenode since it handles API calls, processing, and report generation automatically. No more manual queries or working around GA’s limits.

The workflow runs daily and outputs everything to a spreadsheet with clear journey maps. Takes 10 minutes to set up, saves hours of manual work.