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Predictive Analytics
Forecast demand, churn and revenue from the data you already hold — with an honest read on how much to trust it.
- Refreshed forecasts
- WeeklyRefreshed forecasts
- Customer-level
- ScoredCustomer-level
- Before you rely on it
- BacktestedBefore you rely on it
What's covered
- Sales Forecasting
- Customer Insights
- Machine Learning
- Business Intelligence
Talk to a specialist
Tell us what you are trying to move and we will send back a scoped plan — no pitch deck, no obligation.
Replies within one business day
Overview
What Predictive Analytics means here
Most businesses sit on years of transaction history and use it only to describe the past. The same data can tell you which customers are about to leave, what stock you will need in six weeks, and which leads are worth calling first.
We start with whatever data exists, however messy — sales, CRM, web analytics, support tickets — and build a clean pipeline before any modelling. Then we model the specific question you need answered rather than assembling a general "AI platform" nobody uses.
Every model is backtested against periods it never saw during training, and reported with its actual error range. A forecast presented without its uncertainty is a guess in a suit; you get the number and how much weight it can carry.
What you get
Everything included
The full scope of a standard engagement. Anything outside it is quoted before we start, never after.
- Data audit and quality assessment across your sources
- Cleaned, joined data pipeline
- Model built for your specific forecasting question
- Backtesting against held-out historical periods
- Customer-level scores written back into your CRM
- Dashboards presenting forecasts with confidence ranges
- Retraining schedule and drift monitoring
- Interpretation guidance so the numbers get acted on
Why it works
Built around the outcome
Demand forecasting
Project sales and stock requirements so you stop over-ordering and stocking out.
Churn prediction
Score customers on likelihood to leave while there is still time to intervene.
Lead scoring
Rank enquiries by probability to close so sales works the best ones first.
Customer segmentation
Behaviour-based segments and lifetime value modelling that actually drive campaigns.
Honest accuracy
Backtested on unseen periods and reported with a real error range, not a confident number.
How we deliver
From brief to results
The stages every predictive analytics engagement moves through, and what happens in each.
- 01
Assess
Review the data you hold and confirm the question is actually answerable with it.
- 02
Prepare
Clean, join and engineer features into a reliable pipeline.
- 03
Model
Train candidate models and backtest each against unseen historical periods.
- 04
Operationalise
Push scores into your tools, set retraining, and monitor for drift.
Good fit
Good fit
Who this is for
- Retailers guessing at inventory and over-ordering
- Subscription businesses losing customers without warning
- Sales teams working leads in the order they arrived
- Companies with years of data and no use for it
Tools we work with
We build on established platforms rather than anything proprietary, so you keep full ownership and can take the work elsewhere at any time.
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Loved by clients
Loved by clients
Don't just take our word for it
Real results, in the words of the founders and teams we've partnered with.
“Kashavi rebuilt our funnel and doubled qualified pipeline in a quarter.”
Ava Thompson
VP Marketing · Northwind
“The most data-driven agency we have worked with — no fluff, just results.”
Daniel Cruz
Founder · Lumen Labs
“Kashavi rebuilt our funnel and doubled qualified pipeline in a quarter.”
Ava Thompson
VP Marketing · Northwind
“The most data-driven agency we have worked with — no fluff, just results.”
Daniel Cruz
Founder · Lumen Labs
FAQ
FAQ
Predictive Analytics questions
The things prospective clients ask us most often about this service.
For seasonal forecasting, ideally two years or more. For churn and lead scoring, a few thousand labelled examples is usually enough. We assess feasibility before quoting rather than after.
Related
Often paired with this
These work well alongside it — and cost less to run together than to bolt on later.
Free strategy call
Ready to start with Predictive Analytics?
Tell us where you are today and what you need predictive analytics to achieve. We will come back with a scope, a timeline and a price — usually within one business day.
Replies within one business day · No commitment