1. Explorations (aka Analysis Hub)

  • Create custom reports using techniques like funnel exploration, segment overlap, and path analysis.
  • Great for deep-dives: e.g., “Where do users drop off after viewing a pricing page?”
  • You can build ad-hoc reports that can’t be built in standard GA4 UI.

Try: Funnel Exploration to track soft conversions like scrolls, video plays, or downloads.

2. Custom Dimensions & Metrics

Essential for contextual, business-specific data — yet rarely set up correctly. (and every and I mean EVERY analytics pro has forgotten these)

  • Track things like content type, user role, product category, etc.
  • Most websites only use built-in dimensions (like page_title), missing deeper insights.

Try: Add a page_type custom dimension (e.g., blog, product, landing) and break down bounce rate or conversion by type.


3. User Explorer

  • Inspect individual user journeys across sessions.
  • Especially useful when paired with user IDs (for logged-in experiences).

Use it to: Diagnose weird issues (e.g., returning users failing to convert repeatedly).


4. Event Parameters (Beyond Event Names)

  • Each event can pass up to 25 custom parameters (e.g., button_color, form_id, product_variant).
  • These often go unused, limiting your ability to break down events meaningfully.

Try: Track cta_location with button clicks (header vs footer vs popup).


5. Segments in Explorations

  • Segments let you compare audience behavior side-by-side (e.g., Mobile vs Desktop, Engaged vs Bounced).
  • More powerful than filters: supports time constraints, sequences, etc.

Try: Compare “users who viewed pricing but didn’t convert” vs “users who did.”


6. Predictive Metrics (if eligible)

  • Metrics like purchase probability, churn probability, and predicted revenue.
  • Available only if your site meets data volume thresholds (usually eCommerce).

Use them for: Building remarketing audiences in Google Ads.


7. Path Exploration (Enhanced Pathing)

See where users came from and where they went next — including loops and drop-offs.

  • Better than legacy “Behavior Flow” in Universal Analytics.
  • You can start from any event, not just landing pages.

Use it to: Discover weird navigation loops or ineffective CTAs.


8. User Lifetime Metrics

GA4 tracks lifetime value-style data for known users.

  • See cumulative metrics: total sessions, revenue, engagement time.
  • Helps identify long-term engagement patterns.

Use case: Which channels bring in users with the highest lifetime revenue?


9. DebugView

Developers love this, but marketers often ignore it.

  • Real-time event validation — shows you what’s firing, when, and with which parameters.
  • Essential when setting up Tag Manager or new custom events.

Use it when: QA-ing a new form, button, or funnel step before it goes live.


10. BigQuery Export

Only power users use this — but it’s a goldmine.

  • Free for all GA4 properties (unlike UA which had limits).
  • Gives you raw event-level data, ideal for custom analysis, AI models, and deep attribution.

Use it for: Stitching GA4 data with CRM, SQL dashboards, or ad spend for ROI.


Bonus: Underused Metrics

Form start vs form submit – Reveals drop-offs in micro-conversions.

Engaged sessions – Better than bounce rate.

Engagement time – Real measure of attention.

Scroll event – Often missing in analysis but valuable for understanding content consumption.


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