Google Analytics + Make

Google Analytics to Make Integration for mid-market Australian businesses

Sync data between Google Analytics and Make automatically. Eliminate manual data entry, reduce errors, and save 8+ hours/week with a custom integration built by Harvard-educated automation experts.

8+ hours/week

Saved weekly

12+

Years experience

Make fields

One-way

Sync direction

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Why Connect Google Analytics to Make?

Make adds complexity: steeper learning curve than Zapier, particularly for non-technical users unfamiliar with the concepts of routers, iterators, and data mapping

Online orders in Google Analytics and in-store inventory in Make are never in sync, frustrating customers

No single source of truth when events live in two disconnected tools, so staff second-guess which system has the correct information

Google Analytics limitations compound the integration challenge: gA4 transition from Universal Analytics has been painful for many businesses, with a fundamentally different data model and reporting interface

Google Analytics uses a REST API while Make uses REST + Webhook, requiring careful middleware to translate data formats between the two platforms

Reporting across Google Analytics and Make requires painful manual exports and spreadsheet merges

New team members take longer to onboard because they must learn manual workarounds to keep Google Analytics and Make aligned

Client engagement details in Google Analytics and time-tracking data in Make do not align, making billing inaccurate

How We Help

With 12+ helping mid-market Australian businesses, we have built dozens of integrations between analytics and automation platforms. Connecting Google Analytics to Make is a proven workflow we deploy in 2 weeks. On the technical side, Google Analytics uses a REST API with OAuth authentication, which our team handles as part of the build.

Eliminate Manual Data Entry

Stop copying data between Google Analytics and Make by hand. Our integration syncs data automatically, saving your team 8+ hours/week.

Custom-Built for Your Workflow

Unlike generic connectors, we build integrations tailored to how your business actually uses Google Analytics and Make. Custom field mappings, business rules, and error handling included.

Unlock Make Value

Make stands out because visual scenario builder with a node-based interface is more intuitive for complex multi-step workflows than Zapier linear approach. Integrating it with Google Analytics means your team gets this benefit with complete, accurate data flowing in automatically.

Built-In Error Handling and Alerts

Our integrations include automatic retries, error queuing, and real-time notifications. If something fails between Google Analytics and Make, your team knows immediately and the system self-recovers where possible.

Google Analytics to Make Use Cases

Automated error handling and retry for Google Analytics/Make sync

When a sync between Google Analytics and Make fails due to a rate limit, network issue, or validation error, the integration retries automatically with exponential backoff. Your team is alerted only when intervention is genuinely needed.

Data Mapping

How data flows between Google Analytics and Make

Google Analytics	→	Make	Notes
Google Analytics Record IDs	→	Make External References	Cross-reference identifiers stored on both records for bidirectional lookups and deduplication
Google Analytics Owner/Assignee	→	Make Owner/Assignee	Record ownership mapped between platforms using email address as the matching key
Google Analytics Timestamps	→	Make Audit Log	Created and modified timestamps preserved for sync conflict resolution and compliance
Google Analytics Users	→	Make Custom Fields	Users data from Google Analytics stored in Make custom fields for reference
Google Analytics Conversions	→	Make Custom Fields	Conversions data from Google Analytics stored in Make custom fields for reference
Google Analytics Events	→	Make Custom Fields	Events data from Google Analytics stored in Make custom fields for reference
Google Analytics Audiences	→	Make Custom Fields	Audiences data from Google Analytics stored in Make custom fields for reference
Google Analytics Sessions	→	Make Custom Fields	Sessions data from Google Analytics stored in Make custom fields for reference

Google Analytics + Make Integration FAQ

Yes. we poll Google Analytics's REST API at configurable intervals for near-real-time detection, and Make also provides webhook support for bidirectional triggers. Changes in Google Analytics are reflected in Make within seconds. For high-volume scenarios, we implement queuing to handle peak loads without data loss.

Yes, every integration includes 3 months of post-launch support. We monitor sync health, troubleshoot issues, and make adjustments as your workflow evolves. Ongoing maintenance plans are available for businesses that want continuous optimisation.

Yes, we handle one-time historical data migrations alongside ongoing sync. We map your existing events, validate data quality, and run test migrations before the final cutover. Most migrations complete within 4-8 weeks depending on volume.

Yes. Clever Ops has helped Professional Services businesses connect Google Analytics to Make as part of their automation strategy. Each industry has unique data flows and compliance needs, and we tailor the integration accordingly. Based in Gippsland, Victoria, we understand the Australian market deeply.

Our integrations include retry logic and error queuing. If Make is temporarily down, changes are queued and replayed once the system recovers. You will receive alerts for any sync failures that need attention. No data is lost during outages.

The most common data objects synced between Google Analytics and Make include events, users, sessions. We map each data type to its counterpart in the target system, including custom fields, metadata, and relationship data. The exact scope is tailored to your workflow during the discovery session.

Absolutely. Custom field mapping is a core part of every integration we build. Whether it is custom properties in Google Analytics or user-defined fields in Make, we map them precisely to your requirements. We can also transform data formats, apply business rules, and handle conditional mappings.