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Data Science & ML

Lifetime Value Modelling

Predicted lifetime value by channel and cohort, so you can spend against future contribution rather than last-click cost.

MWRKJT
Delivery leads online — talk to a human, not a bot
2 wksTo a costed roadmap
6 wksTo first production
YoursOwned at handover
Data Science & MLRepresentative engagement
FORECAST HORIZONACTUALSP10–P90 BAND

100% delivery success — delivered worldwide across seven regions

AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain
AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Power BI
Looker Studio
Azure Synapse
MongoDB
Python
LangChain

What you get

Where Lifetime Value Modelling earns its place

Spend against future value.

  • Predicted LTV by cohort
  • Spend against future value
  • Tied to acquisition channels
Data Science & MLTypical first quarter
L1Ad hocL2RepeatableL3DefinedL4ManagedL5OptimisedWHERE VALUE COMPOUNDS

Tools & platforms

What we build it with

The stack MOD actually delivers this on.

PythonDataIKUscikit-learn

Delivery model

How the work actually runs

One delivery model, whatever the engagement. You always know what is shipping this week and what it is worth.

01

Discovery

We map your sources, decisions and blockers, understand the business goal, and agree what success looks like before anything is built.

02

Solution design

We design the architecture, data models and use cases — right-sized to your team and your cloud — and cost the work before you commit.

03

Development

Weekly sprints against a visible backlog: pipelines, models, dashboards and applications, all in version control and yours from day one.

04

Testing & validation

Every pipeline and model is tested — with frameworks like PyTest and Great Expectations — so the numbers are trustworthy before they ship.

05

Deployment & training

We deploy into your cloud and train the people who will run it, so the capability lands with your team, not just our code.

06

Support & optimisation

Observability, alerting and continuous improvement keep the system fast, accurate and cost-efficient long after go-live.

FAQ

Questions buyers actually ask

Straight answers. If yours is not here, ask us on a call — we will tell you if we are the wrong fit.

Ask a question

So acquisition spend is set against future contribution by cohort and channel, not last-click revenue.

It is deployed with drift monitoring and a retraining schedule agreed up front.

Next step

Ready to find out what your data is worth?

Thirty minutes with a delivery lead, not a salesperson. You leave with a point of view on your highest-value use case and what it takes to ship it.