Google Analytics 4 Integration: Connect GA4 to Analytify (2026 Guide)

A Google Analytics 4 integration with Analytify pulls your GA4 events directly from BigQuery (or via the GA4 Data API) into a governed analytics warehouse — giving you unsampled, queryable web analytics joined to CRM, billing, and product data. Sampling, attribution gaps, and the GA4 UI’s 14-month retention limit all disappear.

Bring Google Analytics 4 data into a governed analytics warehouse with Analytify.

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Why Connect GA4 to Analytify

GA4 is free and ubiquitous, but the UI is limited: reports above ~10M events get sampled, custom funnel definitions are clunky, and joining GA4 with conversion data from your CRM or billing system is awkward.

Bringing Google Analytics 4 data into Analytify gives you:

  • Unsampled event-level data — every page view, conversion, and custom event queryable forever.
  • True multi-touch attribution joining GA4 sessions with CRM lifecycle and Stripe revenue.
  • Custom funnels and cohorts that GA4 Explorations can’t express.
  • Cross-domain and cross-property unified reporting.
  • Embedded analytics for marketing dashboards in customer-facing tools or partner portals.

What Data the Integration Syncs

The integration ingests these GA4 dimensions and metrics:

Object Key fields Use case
Events event_name, params, user_pseudo_id, ga_session_id Funnel analysis, conversion
User properties user_id, custom user props Segmentation, cohort analysis
Sessions medium, source, campaign, landing page Channel attribution
Conversions event-marked conversions, value ROAS, conversion analytics
Ecommerce items, transaction_id, value, refund Revenue analytics (joined to billing)
Custom dimensions app-defined params Product-specific analysis

How to Set Up the GA4 Integration

  1. Enable BigQuery export from GA4 in GA4 Admin > Product Linking > BigQuery Links (recommended for unsampled data; daily export is free up to 1M events/day).
  2. Grant read access on the BigQuery export dataset to your Analytify service account.
  3. Add the integration in Analytify Settings > Integrations > Google Analytics 4. Choose BigQuery export or Data API mode.
  4. Pick property and time range for backfill.
  5. Define custom events and conversions in the semantic layer (consistent with how your team thinks about funnel steps).
  6. Verify session and conversion counts match GA4 UI for the past 30 days.

Sample Dashboards You Can Build

  • Multi-Touch Attribution — first-touch, last-touch, position-based, linear, data-driven models on the same data.
  • Custom Funnels — any sequence of events with arbitrary time windows and segment filters.
  • Channel ROAS — ad spend (joined from Google Ads, Meta Ads, etc.) ÷ revenue (joined from Stripe or Shopify) per channel.
  • Cohort Retention — return visit and revenue retention by acquisition cohort.
  • Page Performance — scroll depth, time on page, conversion rate per landing page.
  • Cross-Domain Funnel — unify multiple GA4 properties into a single user journey.

How the Integration Works (Architecture)

For most teams, the BigQuery export path is the recommended architecture: GA4 streams events into BigQuery daily (free up to 1M events/day, paid above that), and Analytify reads from BigQuery directly — same warehouse where Stripe, Salesforce, and HubSpot data live, so joins are native.

Smaller teams can use the GA4 Data API directly. The API is sampled above 10M events per query but works fine for most marketing dashboards. Analytify’s connector handles both modes transparently.

Troubleshooting Common Issues

  • BigQuery export delays. GA4’s daily export lands by ~9-10am UTC the next day. For real-time analytics, enable streaming export (paid GA4 360 only).
  • UI numbers don’t match warehouse numbers. Common causes: GA4 UI applies sampling; UI deduplicates by `ga_session_id` while warehouse counts raw events. Define metrics in the semantic layer to match the source of truth you trust.
  • Missing user_id. GA4 only logs `user_id` if your tagging passes it. Combine with `user_pseudo_id` for cookie-based identity.
  • Currency conversion. Ecommerce events may have multiple currencies. The semantic layer handles FX conversion to a base currency.

Pricing and API Limits

GA4 BigQuery export is free up to 1M events/day per property. Storage and query costs in BigQuery are pay-as-you-go (typically $5-50/month for mid-traffic sites). The GA4 Data API is free with quota limits (10K tokens/day base, more with quota requests).

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FAQs

Should I use BigQuery export or the GA4 Data API?

BigQuery export for serious analytics — unsampled, joinable, and durable. Data API for lightweight dashboards or when BigQuery isn’t already in your stack.

Does this replace GA4?

No, it complements GA4. Continue using GA4 for tagging, real-time reports, and standard channel reports. Analytify adds full-detail event analytics, custom modelling, and cross-source joins.

How do I handle Universal Analytics historical data?

UA stopped collecting in mid-2023. Export your final UA data to BigQuery while you can; Analytify can union UA + GA4 in the warehouse for long-running historical comparisons.

Can I do attribution beyond GA4’s built-in models?

Yes — Markov chain, Shapley value, and custom rule-based models all run in dbt models on the BigQuery export. Analytify exposes them as semantic-layer metrics.

How do I respect user consent (GDPR, CCPA)?

Use Google’s Consent Mode v2 to flag non-consenting users. Analytify’s connector preserves consent state so you can filter or aggregate appropriately.

Can I push warehouse insights back to GA4?

Yes via GA4 Measurement Protocol or BigQuery Audience Lists for activation. Analytify can trigger via reverse ETL.

What about Google Ads / GMP integrations?

Each GMP product has its own Analytify connector. Combining GA4 + Google Ads + GMP gives end-to-end paid + organic + on-site analytics.

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