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Google Analytics - Web & App Analytics | Klero Resources

A practical guide to Google Analytics and GA4: events, reports, audiences, and when to use it for product and marketing insights.

Google analytics

Google Analytics (GA4) is the current version of Google’s web and app analytics. You send events, see reports and explorations, and build audiences for ads or other tools. This guide covers what matters for product and marketing teams: setup, events, and how to get value from GA4.

Beginner's Guide to Google Analytics 4

Why ga4 fits product and marketing work

  • Free and widely used - Industry standard for traffic and behavior. Integrates with Google Ads, Search Console, and many other tools.
  • Event-based model - Everything is an event (pageview, click, signup, etc.). Flexible and aligned with how product analytics tools think. You define what to collect.
  • Reports and explorations - Standard reports for traffic, engagement, and monetization; Explorations for custom analysis (funnels, paths, segments). Use reports for oversight; use explorations for deeper questions.
  • Audiences - Define segments (e.g. “signed up in last 7 days,” “visited pricing 3+ times”) and use them in Google Ads or in GA4 for analysis.
  • Core concepts that matter

    Properties and data streams

    A property is your GA4 instance. Data streams are the sources: Web (by URL), iOS app, Android app. Add the gtag or Measurement ID to your site or app so events start flowing. Use one property per product (or per brand if you want separation).

    Events and parameters

    Events are actions: page_view, scroll, click, sign_up, purchase, or custom names. Parameters add context (e.g. page_location, value, currency). Plan a small set of events that answer “who did what, and where?” - then add more as you need new questions. Use enhanced measurement for basic web events (scrolls, outbound clicks, etc.) without extra code.

    Reports and explorations

    Reports are pre-built: Acquisition, Engagement, Monetization, etc. Use them for weekly or monthly oversight. Explorations are custom: funnel, path, segment overlap, free-form. Use them when you need “what’s the drop-off from step A to B?” or “what do users who did X do next?” Export or share links so stakeholders can self-serve when possible.

    Audiences and conversions

    Audiences are segments you define (e.g. by event, dimension, or duration). Use them in explorations or send them to Google Ads. Conversions are events you mark as conversion (e.g. purchase, sign_up). Report and optimize on these. Mark only the events that represent real success so “conversions” stays meaningful.

    Google Analytics 4 - Complete Setup Guide for Beginners

    Practical habits

  • Name events and parameters consistently - Use snakecase and a small vocabulary. `signup and signup` as two different events cause confusion. Document your event map.
  • Start with a few key events - e.g. page_view, sign_up, purchase (or your equivalent). Add engagement and custom events as you have concrete questions.
  • Use explorations for funnels and paths - Funnel exploration for “where do we lose people?” Path exploration for “what do they do after X?” Share saved explorations so others can rerun them.
  • Review consent and privacy - Respect Do Not Sell, cookie consent, and regional rules. Use consent mode and configure data retention and filters so you stay compliant.
  • When ga4 isn’t the fit

  • Product analytics depth - For detailed product behavior (feature usage, cohorts, retention by action), use Amplitude, Mixpanel, or similar. Use GA4 for traffic, acquisition, and high-level engagement; use product analytics for “which features drive retention?”
  • Real-time or operational dashboards - GA4 real-time is narrow. For ops or support dashboards, use a data warehouse + BI or a product that streams events.
  • Strict data residency - Data is processed by Google. If you need everything in a specific region or vendor, check GA4’s options and limitations.
  • Pricing (high level)

    GA4 is free for standard use. Google Analytics 360 (enterprise) adds more volume, SLAs, and support. Most teams are fine on the free tier.

    For product and marketing teams that need traffic, conversion, and exploration in one place and tight integration with Google Ads, GA4 is a strong default. Use it for acquisition and high-level behavior; pair it with a product analytics tool when you need deeper feature-level insight.

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