From "We Have GA" to Decisions You'd Bet On
Having Google Analytics installed is not the same as having analytics you'd actually make a decision on. An audit that compares what's currently tracked against what the business needs to know — followed by fixing the gaps — is what turns an installed tool into one that answers real questions.
You installed Google Analytics years ago, it's technically "running," and you still can't answer a real business question with it.
Having analytics installed isn't the same as having analytics you trust enough to act on, and right now yours is closer to decoration than a decision tool.
What we implement
We audit what's actually being tracked against what your business needs to know, then fix the gaps and reconfigure — or migrate — the platform so it answers real questions, in what's called an analytics audit and rebuild.
What you get
- ▸Reports that answer the actual question asked, instead of the closest metric the tool happened to already have.
- ▸Confidence to make a call — cut a channel, raise a budget, kill a campaign — based on the data, not despite it.
- ▸A documented record of what changed and why, so the next audit isn't starting from zero again.
a business whose GA4 setup only ever got opened to check a session count might, after an audit and rebuild, start using it to actually decide next quarter's channel mix. Illustrative scenario, not a measured result.
Questions worth asking first
▸How do I know if my Google Analytics setup is actually good?
Ask whether it currently answers a real business question — which channel drove revenue last month, for instance — without manual reconciliation. If the honest answer is no, the setup needs an audit regardless of how long it has technically been running.
▸What is a Google Analytics alternative, and do I need one?
Alternatives exist (server-side, product-analytics, or enterprise platforms), but most businesses don't have a platform problem — they have a configuration and definition problem. An audit tells you honestly which one you have before you switch tools.
▸What's the difference between an analytics audit and an analytics migration?
An audit finds and fixes gaps in your current platform's configuration. A migration moves you to a different platform entirely. Most businesses need the former; migration is warranted only when the current platform genuinely can't answer the questions the business needs.
See where this shows up in your own data.
A data audit maps this use case against your actual tracking, so the plan is specific to your stack, not generic advice.