Product Analytics & Investor Metrics
Know Your Numbers Before Investors Ask
Event tracking built into your MVP from launch, a dashboard against the targets in your brief, and the metrics investors ask for, from activation and retention to revenue growth and unit economics, defined once and calculated the same way every time.
What you get at each stage
Sized to where your product is now, and built so the next stage adds to it rather than starting again.
Idea & validation
Agree the few numbers that show whether it works
- A north-star metric and 90-day targets, from the metrics section of your brief
- An event plan: the actions to track from sign-up to first value
- Written definitions, so a number means the same every month
- Analytics planned into the build, not added afterwards
MVP & launch
Measure the MVP from the first user
- Product and web analytics set up and tested before launch
- Activation, retention and conversion on one dashboard
- Cohorts by sign-up week, channel or plan
- A weekly review against your targets
Growth & scale
Show investors growth they can check
- Revenue growth, retention and churn reported monthly
- Unit economics such as acquisition cost and lifetime value
- Figures reconciled with your accounts before they go in a deck
- A clean, documented data set for due diligence
What is included
Event tracking
The actions that matter, from sign-up to first value, tracked the same way across web and mobile.
Dashboards
Founder and investor views built around the questions you actually ask, with plain-English labels.
Cohort analysis
How users who joined in each period behave over time, by channel, plan or market.
Investor metrics
Revenue growth, retention, churn and unit economics, each with one written definition and calculation.
Due diligence data set
Reconciled figures and a metric dictionary you can share with investors without last-minute rework.
Data protection
Only the personal data the analysis needs, access limited by role, and cookie consent where your analytics needs it.
Everything in Product Analytics & Investor Metrics
13 services. Take one or combine several: we size each to your stage and agree the scope and a fixed price before work starts.
Product analytics
- Event planThe actions to track, from sign-up to the moment a user gets value, agreed before the build.
- Analytics set-upProduct and web analytics built into the MVP and tested before launch.
- DashboardsActivation, retention and conversion against the targets in your brief, in one place.
- FunnelsWhere new users drop out between first visit and first value.
- Cohort analysisHow users who joined in each week or month behave over time, by channel or plan.
Investor metrics
- Metric definitionsOne written definition and calculation for each number, so it means the same every month.
- Revenue and growth reportingRevenue, growth rate, retention and churn reported monthly.
- Unit economicsCustomer acquisition cost against lifetime value, with the assumptions shown.
- Investor reporting packThe few charts and numbers for monthly investor updates and board meetings.
- Due diligence data setFigures reconciled with your accounts and a metric dictionary you can share.
Data foundations
- Data warehouseProduct, payments, CRM and accounting data joined in one place, when spreadsheets stop coping.
- Data auditWhat data you have, where it lives and how reliable it is.
- Data protectionOnly the personal data the analysis needs, with access limited by role.
Scope it free, then build it
Your MVP brief is the brief
The brief you write in the free MVP builder is what we quote from. It tells us who the product is for, the Must-have features, the main journeys and the budget, so work on Product Analytics & Investor Metrics starts from your brief, not a blank page. It fits these stages:
In your brief
The sections it builds on
- Success metrics
- Funding
For established companies
New products and ventures, scoped first
Established companies use the same service to measure a new digital product or pilot on its own terms: agreed definitions, a dashboard the team uses each week and a clear read on whether the numbers justify further investment. When the data cannot support a conclusion, we say so.
Tell us about your projectQuestions founders ask
What should an MVP track?
Fewer things than you think. One north-star number that shows users getting value, plus activation, retention after a few weeks and, if you charge, conversion to paid. The metrics section of your brief sets the targets; we make sure the product records what is needed to check them.
Which metrics will investors ask for?
It depends on your model and stage, but most ask for revenue and its growth rate, retention or churn, unit economics such as customer acquisition cost against lifetime value, and cohort views of how users behave over time. We agree a short list with you and define each one so it holds up to questions.
What makes a data set ready for due diligence?
Figures that reconcile with your accounts, metric definitions written down, a traceable source for every number, and no unexplained gaps or one-off adjustments. Preparing this early means fewer surprises when an investor starts asking detailed questions.
Who does the analytics work?
Our own team. When we build your MVP, the analytics go in during the build rather than afterwards: one brief, one point of contact and no hand-offs between agencies.