# GA4 Published articles for GA4. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## A One-Line JavaScript Bug Broke My GA4 Tracking for Five Months DevFeed: [A One-Line JavaScript Bug Broke My GA4 Tracking for Five Months]() Original publisher: [Read original article]() Author: Muhaymin Bin Mehmood Published: 2026-11-04T09:15:03Z Content type: tutorial Language: en Sources: [HackerNoon]() Topics: [JavaScript](), [Test-driven development](), [ESLint]() Tags: [2](), [3](), [about](), [added](), [admin](), [bug](), [conversion](), [conversion-tracking](), [data](), [events](), [funnel-analysis](), [ga4](), [ga4-debugging](), [ga4-event-tracking](), [google-analytics](), [google-tag-manager](), [gtag-js](), [how-to](), [javascript](), [learn](), [learn-how-to](), [my](), [one](), [tracking](), [verify]() ### AI overview A GA4 wrapper silently dropped custom events because it pushed a rest-parameter array into `dataLayer`; the author reports that `gtag.js` acted on an `Arguments` object with the same values but not the array. The fix is to push `arguments` (or call `window.gtag` directly), with a test guarding the object type. To verify tracking, trigger a custom event and check its type in `dataLayer`, a `g/collect` request, and GA4 Realtime or DebugView; standard reports can lag. A separate reporting issue arose because completed events were not marked as key events in GA4 Admin. Marking them is not retroactive, so the change date matters. After both issues were corrected, the excerpt's small-site data showed most visitors left before adding a file, while nearly all who added one finished. ### Source excerpt one-line JavaScript bug silently broke GA4 conversion tracking for five months. Learn how to detect missing events, fix gtag.js, and verify your data. ## I Was Tired of Building the Same GA4 + Search Console Report Every Month, So I Automated It DevFeed: [I Was Tired of Building the Same GA4 + Search Console Report Every Month, So I Automated It]() Original publisher: [Read original article]() Author: Oora Published: 2026-10-22T07:32:49Z Content type: tutorial Language: en Sources: [HackerNoon]() Topics: [workflow automation](), [Google Analytics](), [Google Search](), [Search engine optimization (SEO)](), [reproducibility]() Tags: [ai](), [analytics](), [api](), [automated](), [automation](), [clicks](), [compare](), [consistency](), [data-science](), [ga4](), [ga4-automation](), [pdf-report-generation](), [programming](), [python](), [report](), [reporting](), [search-console](), [seo-reporting]() ### AI overview The Python script automates recurring GA4 and Google Search Console reporting across several websites, using Google APIs to collect active users, sessions, clicks, impressions, CTR, and average position, then generate a PDF with portfolio and site-level summaries. Simple, explainable rules flag signals such as high impressions with low CTR or zero activity; the script identifies where to investigate but leaves causal interpretation to a human. The author emphasizes consistent comparisons and collecting only metrics relevant to a clear question. The excerpt mentions Service Account authentication and tools including ReportLab and Matplotlib, but does not provide the full setup guide. ### Source excerpt Learn how I automated GA4 and Google Search Console reporting with Python, turning repetitive monthly exports into actionable PDF reports. ## How to track custom Google Analytics events in a Webflow Cloud app for accurate conversion data DevFeed: [How to track custom Google Analytics events in a Webflow Cloud app for accurate conversion data]() Original publisher: [Read original article]() Author: Ismail Ajagbe Published: 2026-09-19T00:00:00Z Content type: tutorial Language: en Sources: [Webflow Blog]() Topics: [webflow](), [Google Analytics](), [Next.js](), [API]() Tags: [analytics](), [api](), [browser](), [build](), [client](), [configuration](), [environment-variables](), [ga4](), [google-analytics](), [guides](), [how-to](), [js](), [measurement](), [next](), [next-js](), [npm](), [route](), [server](), [tracking](), [webflow]() ### AI overview A tutorial on tracking custom Google Analytics 4 events in a Webflow Cloud app. It explains how to send events from a Next.js browser client and a server-side Route Handler using the GA4 Measurement Protocol, shared environment variables, and a Measurement ID. ### Source excerpt Learn how to send custom GA4 events from a Next.js app on Webflow Cloud, client-side with gtag and server-side via the Measurement Protocol. ## How to track custom Google Analytics events in a Webflow Cloud app for accurate conversion data DevFeed: [How to track custom Google Analytics events in a Webflow Cloud app for accurate conversion data]() Original publisher: [Read original article]() Author: Ismail Ajagbe Published: 2026-09-19T00:00:00Z Content type: tutorial Language: en Sources: [Webflow Blog]() Topics: [Google Analytics](), [webflow]() Tags: [analytics](), [client](), [events](), [ga4](), [google-analytics](), [guides](), [protocol](), [server](), [webflow]() ### AI overview The guide describes two GA4 event paths for a Next.js app on Webflow Cloud: load `gtag` in the root layout and use a guarded `trackEvent` helper for browser events; send server events from a Route Handler through the Measurement Protocol, keeping `GA_API_SECRET` server-only. Configure the public Measurement ID and mount path in Webflow Cloud before building, since `NEXT_PUBLIC_` values are inlined and client fetches need the mount path. The sample endpoint is explicitly unsafe for production: it needs authentication and authorization, abuse controls, an event allowlist and parameter schema, and a request-size limit. A successful HTTP response confirms delivery to Google, not that GA accepted the event; validate payloads with the debug endpoint. The excerpt also flags the unsupported Next.js `edge` runtime directive as a build failure cause and recommends omitting it. ### Source excerpt Learn how to send custom GA4 events from a Next.js app on Webflow Cloud, client-side with gtag and server-side via the Measurement Protocol. ## How AI agents change the cost and control trade-offs of data connectors DevFeed: [How AI agents change the cost and control trade-offs of data connectors]() Original publisher: [Read original article]() Author: Adrian Brudaru Published: 2026-07-01T00:00:00Z Content type: opinion Language: en Sources: [DLT Hub]() Topics: [build vs buy database solutions](), [AI connector platforms](), [llamaindex](), [AI Chat]() Tags: [agentic](), [build-vs-buy](), [claude-code](), [costs](), [data](), [ga4](), [product](), [saas]() ### AI overview The article argues that LLM agents and dltHub can make building and maintaining data ingestion pipelines cheaper than renting SaaS connectors. It claims pipeline creation takes under two hours and about $5 in tokens, while maintenance costs roughly $100 a year based on dlt OSS telemetry. It also describes customer examples of lower bills, faster migrations, and broader team ownership, while promoting dltHub's managed platform and migration services. ### Source excerpt For the last two decades, saas connector companies told you data meant choosing between "build or buy". Today, agentic building killed that narrative, ## In-depth: PostHog vs Google Analytics 4 DevFeed: [In-depth: PostHog vs Google Analytics 4]() Original publisher: [Read original article]() Author: Lior Neu-ner Published: 2026-03-13T00:00:00Z Content type: comparison Language: en Sources: [PostHog]() Topics: [Google Analytics](), [product analytics](), [BigQuery]() Tags: [2](), [2026](), [a-b-testing](), [about](), [account](), [ads](), [advanced](), [analytics](), [app](), [but](), [ga4](), [google](), [google-analytics](), [google-analytics-4](), [popular](), [tools](), [users](), [vs](), [website](), [with]() ### AI overview PostHog combines web and product analytics with session replay, feature flags, experiments, error tracking, surveys, and data tools in one developer-focused platform; GA4 centers on traffic, campaigns, attribution, and integration with Google's marketing ecosystem. The text recommends PostHog for engineering and product teams needing behavioral analysis, account-level analytics, or EU data hosting, and GA4 for teams focused on Google Ads, Search Console, and content or ad attribution. PostHog has a monthly free allowance followed by usage-based pricing with billing caps. GA4 is free within limits, including 14-month retention, sampling on large exploration queries, and a 1-million-event-per-day BigQuery export; GA360 pricing is not publicly listed. Both filter bots by default, but different filter lists can produce discrepancies. The comparison is based on the supplied article text, which also describes running both tools during migration. ### Source excerpt PostHog and Google Analytics 4 (GA4) are both popular tools for understanding how users interact with your website or app - but they're built with... ## Internal Dashboard for Google Analytics 4 DevFeed: [Internal Dashboard for Google Analytics 4]() Original publisher: [Read original article]() Author: Rahul Joshi Published: 2023-04-27T00:00:00Z Content type: tutorial Language: en Sources: [DLT Hub]() Topics: [product analytics](), [Google Analytics](), [BigQuery](), [Amazon Redshift]() Tags: [duckdb](), [ga4](), [github-actions](), [postgresql](), [streamlit](), [tutorials](), [updates]() ### AI overview The article walks through building an internal dashboard for GA4 data. It describes loading data through a dlt pipeline into DuckDB, using Streamlit to explore blog post attribution, then deploying the app on a Google Cloud VM with PostgreSQL and a daily pipeline scheduled through GitHub Actions. ### Source excerpt ## Why GA4? We set out to build an internal dashboard demo based on data from Google Analytics (GA4). Google announced that they will stop processing hits for Universal Analytics (UA) on July 1st, 2023, so many people are now having to figure out how to set up analytics on top of GA4 instead of UA and struggling to do so.