Digital Analytics
Analytics should explain customer behavior clearly — not create reporting debates.
We help teams design and govern digital analytics programs that produce consistent, trustworthy insights across platforms, teams, and use cases.
The real problem with digital analytics
Most organizations don’t struggle because they chose the wrong tool.
They struggle because event models are inconsistent, tracking decisions evolve without governance, and analytics is implemented before measurement is designed.
Over time, this leads to mismatched numbers, fragile dashboards, and a gradual loss of confidence in data.
Our approach to digital analytics
We treat digital analytics as a measurement system, not a reporting layer.
Our work typically includes:
- Defining clear business and behavioral measurement goals
- Designing event-driven data models aligned to user journeys
- Establishing naming conventions and governance standards
- Ensuring analytics supports experimentation and activation
- Validating data end-to-end, including downstream consumers
The result is an analytics foundation teams can rely on — even as products, tools, and channels evolve.
Platforms we work with
We work across leading analytics platforms, with a strong focus on enterprise-scale implementations:
- Adobe Analytics & Adobe Launch
- Google Analytics 4 & Google Tag Manager
- Customer Journey Analytics (CJA)
Tool choice follows use case and maturity — not trends.
When to engage us
Organizations typically engage us when:
- Adobe Analytics and GA4 numbers don’t align
- They are planning or migrating to Customer Journey Analytics
- Analytics needs to support experimentation and personalization
- Reporting exists, but confidence in the data does not
Want to understand if your analytics foundation is working?
Request an analytics audit to review your measurement design, data quality, and platform setup — and identify where changes will have the most impact.
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