Hotjar + Make

Stop Copying Data Between Hotjar and Make - Automate It

Save 8+ hours/week by automating the data flow between Hotjar and Make. Our Harvard-educated consultants design integrations that pay for themselves within weeks.

8+ hours/week

Saved weekly

2 weeks

Setup time

Hotjar fields

One-way

Sync direction

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Why Connect Hotjar to Make?

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

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

Reporting across Hotjar and Make requires painful manual exports and spreadsheet merges

Manually copying data between Hotjar and Make wastes hours every week that could be spent on revenue-generating work

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

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

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

How We Help

Based in Gippsland, Victoria, Clever Ops understands the tools Australian Retail & E-commerce and Professional Services businesses depend on. We connect Hotjar to Make with purpose-built integrations that handle heatmaps and recordings sync reliably at scale. On the technical side, Hotjar uses a REST API with API key authentication, which our team handles as part of the build.

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 Hotjar means your team gets this benefit with complete, accurate data flowing in automatically.

Scalable Without Extra Headcount

As your data volume grows, the integration scales with you. No need to hire additional admin staff to keep Hotjar and Make in sync, even as your business doubles.

Custom-Built for Your Workflow

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

Eliminate Manual Data Entry

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

Hotjar to Make Use Cases

Automated error handling and retry for Hotjar/Make sync

When a sync between Hotjar 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 Hotjar and Make

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

Hotjar + Make Integration FAQ

The most common data objects synced between Hotjar and Make include heatmaps, recordings, surveys. 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.

We map analytics data like heatmaps and recordings from Hotjar to the corresponding automation structures in Make. Our team handles data transformation, validation, and conflict resolution between the two system types.

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

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.

Absolutely. We design integrations with growth in mind, whether you are syncing 100 records or 100,000. Our architecture handles rate limiting, pagination, and queuing to ensure reliable performance at any scale.

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

Yes. We routinely build conditional logic, field transformations, data enrichment, and approval workflows into integrations. For example, only sync heatmaps that meet certain criteria, or transform data formats before writing to Make. Your business rules drive the integration design.