Data & Analytics
Analytics and reporting infrastructure that gives you one number to look at instead of four disconnected dashboards that don't agree.
Most companies past a certain size have several sources of truth that quietly disagree — Google Analytics says one number, a marketing platform says another, finance's own spreadsheet says a third, and every meeting starts with ten minutes reconciling whose number is "real" before any actual decision gets discussed.
The deeper problem is dashboards nobody actually uses to decide anything — built once, presented in a kickoff meeting, then ignored because they don't answer the specific question a team asks every week. A dashboard that isn't shaped around a real decision is decoration with numbers on it.
Experimentation compounds the issue when it exists at all — A/B tests run without enough traffic to be statistically meaningful, results read as confirmation of whatever the team already believed, and "data-driven" becomes a phrase used to justify decisions made for other reasons.
Algotrax builds analytics infrastructure around the decisions a team actually makes weekly, with tools reconciled into one number everyone trusts.
What's included
Tracking and attribution setup across product, marketing, and sales tools
Custom dashboards built for the decisions your team actually makes weekly
Experimentation infrastructure — A/B testing that's actually statistically sound
Data-informed roadmap reviews, not a report that gets read once and filed
Integration between disconnected tools so numbers stop contradicting each other
How it actually runs
Tracking & attribution audit
What's currently tracked, where it disagrees with other sources, and why — before building anything new on top of a broken foundation.
Instrumentation setup
Tracking and attribution wired correctly across product, marketing, and sales tools, closing the gaps that cause disagreement.
Dashboard design
Built around the specific decisions a team makes on a real cadence, not a generic metrics overview nobody asked for.
Experimentation infrastructure
A/B testing set up to be statistically sound — the sample sizes and durations that actually produce a trustworthy result.
Roadmap review cadence
A recurring, structured review where the data actually informs what gets built or spent next, not a report that gets read once and filed.
Built with
What most agencies get wrong here
Building dashboards nobody asked for.
A dashboard not built around a specific, real decision gets checked once and ignored.
Running experiments without the traffic to make them meaningful.
An inconclusive test treated as a confirmed result is worse than no test at all — it creates false confidence.
Leaving disagreeing tools unreconciled.
Every meeting that starts by arguing about whose number is right is a meeting not spent on the actual decision.
Treating a report as the end goal.
Reporting nobody acts on is a status update, not analytics infrastructure.
How the engagement works
Typically starts with the tracking and attribution audit — a fixed-scope diagnostic that reveals where the actual disagreements and gaps are, before committing to a build.
Dashboard and instrumentation build runs as a project against that audit's findings, with a small number of decision-specific dashboards prioritised over a broad, unfocused suite.
Ongoing involvement, as decisions and questions evolve, typically continues as a lighter retainer, since analytics needs shift as the business does.
Once tools are reconciled and dashboards are built around real decisions, meetings stop starting with ten minutes arguing about whose number is right — everyone's finally looking at the same one.
Getting started is the tracking and attribution audit — surfacing where the current numbers disagree, and why, before building anything new.
Tell us where data & analytics fits in, and we'll reply within a day.
- A real person reads this, not a queue
- No discovery call required to get a straight answer
- Tell us to go away and we will — no drip sequence
Questions worth asking first
For a lot of early-stage products, yes. This becomes worth a dedicated engagement once decisions are being made across multiple disconnected tools that don't reconcile with each other.