services / analytics-tracking / heap
Heap implementation and audits.
We set up Heap so autocapture works for you instead of against you: clear definitions, virtual events and trustworthy analysis.
✦ Ready for the AI era. Autocaptured behaviour is rich AI context. We make it structured and usable by agents.
trusted by data teams at
camino/financial
✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.
what we do
Heap, implemented and audited by experts
Implementation
- Autocapture setup and event definitions
- Virtual events and properties
- Identity and user properties
- Warehouse sync and governance
Audits
- Autocapture noise and definition drift
- Duplicate and conflicting definitions
- Identity and user-property issues
- Data governance review
rd audit --heap ✔ autocapture enabled ✔ virtual events defined ! duplicate definitions ! definitions drifted after redesign ✗ identity not set on login 1 critical · 2 warnings · 2 passed
// illustrative
faq
Frequently asked questions
Is Heap autocapture enough on its own?
Autocapture gives you a great start, but you still need clear definitions, virtual events and identity handling to trust the numbers. That is what we set up.
Can you sync Heap data to our warehouse?
Yes. We set up the sync and model the data for BI, experimentation and AI use.
What does your Heap implementation include?
Our Heap implementation includes: autocapture setup and event definitions, virtual events and properties, identity and user properties, warehouse sync and governance.
What does a Heap audit cover?
An audit of your Heap setup covers: autocapture noise and definition drift, duplicate and conflicting definitions, identity and user-property issues, data governance review. You get a prioritised report with clear fixes.
How long does Heap work take?
It depends on the size of your site or app and the number of events involved. After a short discovery call we give you a clear scope and timeline.
Can you work alongside our team and existing setup?
Yes. We work with your developers, analysts and agencies, and document everything so your team can maintain it.
Do you work with other analytics tools too?
Yes. We are vendor-neutral and work with GA4, Adobe Analytics, Mixpanel, Heap, Amplitude and more, so we can recommend what fits you best.
Will this make our data ready for AI?
Clean, well-defined, well-documented events are exactly what AI agents and models need. We build tracking and warehouse pipelines with that in mind.
How much does it cost?
Pricing is tailored to your scope. Get a quote or schedule a consultation and we will give you a clear estimate.
related
More in Analytics & tracking
Google Analytics 4
Implementation and audits for clean, trustworthy GA4 data.
learn more →
Google Tag Manager
Tidy containers, solid data layers and server-side tagging.
learn more →
BigQuery
Set up, model and cost-optimise BigQuery for analytics.
learn more →
Adobe Analytics
Solution design, Web SDK and Customer Journey Analytics.
learn more →
Mixpanel
Event taxonomies, identity and clean Mixpanel setups.
learn more →
Amplitude
Governed taxonomies and reliable product analytics.
learn more →
Data warehouse build
A warehouse built for analytics, BI and AI.
learn more →
dbt setup
Tested, documented dbt projects your team can maintain.
learn more →
how we work
From first call to running system
01 /
Discover
We learn your goals, stack and constraints.
02 /
Plan
Audit findings and a clear, prioritised plan.
03 /
Build
Implementation by engineers, reviewed with your team.
04 /
Run
Hand over, or keep us on to support it.
Tell us what you need. We'll scope it.
Pricing is tailored to your sources, volume and the parts of the platform you use. Get a quote or book a call with the team.