Google Analytics 4 (GA4) uses an event-based data model. This reference explains every core metric and dimension marketers need — with links to setup guides and the marketing metrics hub.

Setup guide: GA4 + GTM Conversion Tracking Recipes · Analytics service Nepal

User metrics

Metric Definition
Users Distinct individuals (Total Users, New Users, Active Users)
New Users First-time visitors in the selected period
Active Users Users with engaged sessions (1-day, 7-day, 28-day)
Returning Users Users who visited before the current period

→ Session · Google Analytics

GA4 Metrics Complete Reference (2026): Every Dimension & Metric Explained

Session & engagement metrics

Metric Definition
Sessions Periods of user activity (timeout after 30 min inactivity)
Engaged Sessions Sessions ≥10 sec, or with conversion, or ≥2 pageviews
Engagement Rate Engaged Sessions ÷ Sessions
Average Engagement Time Average active time per session
Bounce Rate Non-engaged sessions ÷ Sessions (inverse of engagement rate)
Views Screen/page views (replaces pageviews in app+web)

→ Bounce Rate · Engagement Rate

Event metrics

Metric Definition
Event Count Total times an event fired
Conversions Events marked as conversion actions
Event Value Numeric value attached to events

page_view, session_start, first_visit, click, scroll, view_item, add_to_cart, purchase, generate_lead

Conversion metrics

Metric Definition
Conversion Rate Conversions ÷ Sessions (or Users)
Total Revenue Sum of purchase event values
Purchase Revenue E-commerce transaction revenue
Transactions Completed purchase events

→ Conversion Rate

Acquisition dimensions

Dimension Definition
Session Source / Medium Where traffic came from (google/organic, facebook/cpc)
Session Campaign UTM campaign name
First User Source / Medium Acquisition source for new users
Default Channel Group Organic Search, Paid Search, Social, Direct, etc.

→ Set up UTMs consistently — see marketing metrics hub

E-commerce metrics

Metric Definition
Items Viewed Product detail page views
Add to Carts add_to_cart events
Checkouts begin_checkout events
E-commerce Purchases purchase events
Item Revenue Revenue per product

Attribution

GA4 offers multiple attribution models in Advertising reports:

Model Logic
Data-driven ML-based credit distribution (default where available)
Last click 100% to final touchpoint
First click 100% to first touchpoint
Linear Equal credit across touchpoints
Position-based 40% first, 40% last, 20% middle

→ Attribution Model

Explorations (analysis tools)

Exploration Use Case
Free Form Custom tables and pivot reports
Funnel Step-by-step conversion drop-off
Path User navigation sequences
Segment Overlap Audience intersection analysis
Cohort Retention by acquisition date

→ Cohort Analysis

Term Definition Dictionary
Consent Mode Tag behavior based on user consent Consent Mode
Data Retention How long GA4 stores user-level data (2 or 14 months) —
Google Signals Cross-device tracking (requires consent in EEA) —

GA4 vs Universal Analytics

UA (deprecated) GA4 equivalent
Pageviews Views (page_view event)
Bounce Rate Engagement Rate (inverse)
Goals Conversion events
Sessions Sessions (event-based)

Nepal setup checklist

  1. Create GA4 property + web data stream
  2. Install via Google Tag Manager
  3. Mark key events as conversions (form_submit, purchase, phone_click)
  4. Link Google Ads account for import
  5. Configure Looker Studio dashboard for client reporting

GA4 reporting workspace templates (Nepal agencies)

Template A — Executive monthly

  • Users / Sessions / Engaged sessions
  • Conversions by channel (organic, paid, direct, social)
  • Top landing pages by conversions
  • Device category split (mobile usually 70%+ in Nepal)

Template B — Paid media weekly

  • Session source/medium filtered to google/cpc, facebook/cpc
  • Landing page + conversion rate
  • Compare GA4 conversions vs Google Ads / Meta (expect 10–30% gap)

Template C — Content team

  • Landing page report sorted by engaged sessions
  • Average engagement time per page
  • Scroll depth events (if configured)

Metric glossary quick picks

When someone asks… Show them…
“Are ads working?” Conversions by session campaign
“Is SEO improving?” Organic users + landing page conversions MoM
“Why is bounce rate weird?” Engaged sessions rate instead (GA4 deprecated bounce)
“What’s our best channel?” Data-driven attribution or last-click + assisted conversions