Helio Analytics
A B2B SaaS first release scoped to one workflow, instrumented from day one so the roadmap follows evidence.
Shipped narrow, then extended on evidence
04 · Grow
Almost every organisation has analytics installed. Far fewer have analytics they trust enough to make a decision with. The usual state is a default installation, some events added over the years by different people, and a number in a report that nobody can fully explain.
Measurement is the foundation the rest of growth work sits on. If the numbers are wrong, every optimisation decision is a guess with a chart attached.
Start from the business questions, then define the metrics that answer them, then the events that produce those metrics. Almost all bad analytics comes from doing this in reverse.
Review of existing implementation: duplicate tags, misconfigured conversions, filter and exclusion problems, campaign tagging consistency, cross-domain and consent handling, and data retention settings.
Google Analytics 4 configured around your business: a documented event taxonomy, key events with values, correct attribution settings, internal traffic exclusion, and a data model that will still make sense in two years.
A governed container: naming conventions, a documented data layer, versioning discipline, and performance-conscious tag loading. Tag managers become a performance liability when nobody owns them.
Tracking that reflects real outcomes – qualified enquiries, purchases, sign-ups, calls, downloads – with the step-level funnel data needed to find where people leave.
Practical attribution: understanding which channels contribute at which stage, with honesty about what modelled data can and cannot tell you. Dashboards built around decisions rather than available metrics.
Every engagement follows the same sequence, with a defined output at each stage and nothing proceeding on an assumption that has not been written down. Grow work sits inside that process rather than alongside it.
Consent choices, ad and tracking blockers, cross-device journeys, and different definitions of a transaction all create gaps. A stable, understood gap is workable; an unexplained one is not, and quantifying it is part of the audit.
It depends on how often tags change and who changes them. Where marketing needs to deploy tracking without a release cycle, yes. Where the site is stable and developer-owned, direct implementation is often faster and lighter.
We implement consent mechanics – consent mode, tag gating, data minimisation – to the policy your legal advisers define. We do not give legal advice, and any agency that does should be treated with caution.
That is worth fixing before anything else. An audit usually takes a week and often changes what you thought was working.
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