CUSTOMER GROWTH SYSTEMS

Turn customer
behaviour into
better growth
decisions.

BC75 Labs helps teams understand what is driving customer performance, find the customer differences and growth constraints worth acting on, and turn that evidence into clearer priorities.

Customer Growth Systems connect the analysis, decision logic and workflows needed to act, test, learn and make better growth decisions repeatable.

€30M+

INCREMENTAL COMMERCIAL VALUE

Across conversion, personalisation, engagement and digital journey improvement.

+500%

REVENUE PER 1,000 EMAILS

Through predictive targeting and more relevant CRM journeys.

€300M+

IMPACT MEASURED & GOVERNED

Across major global digital initiatives and investment portfolios.

THE GROWTH GAP

Most businesses can see how they performed.The harder part is seeing which customer differences are creating the result and where growth is getting stuck.Most businesses can see how they performed.The harder part is seeing which customer differences are creating the result and where growth is getting stuck.

The problem is rarely a lack of data. Transactions, digital behaviour, customer profiles and experimentation results already tell us a great deal about what customers are doing. The opportunity is to connect that evidence, expose the differences hidden inside aggregate performance, and turn those gaps into focused decisions and tests.

FROM PROBLEM TO OPERATING MODEL

Understanding the gap is only useful if you know how to close it.

THE GROWTH LOGIC

Better growth decisions rest onthree connected foundations.Growth decisions need connected foundations.

Segmentation, growth models and decision systems strengthen each other. Connect them and insight can move into clear decisions and action.

Understand customers

Segmentation

Group customers by meaningful differences in behaviour, intent, lifecycle position and value.

OUTCOME

Know who needs different treatment and why.

Diagnose the constraint

Growth models

FREQUENCYMAGNITUDEQUALITY

Connect customer behaviour to progression, conversion, repeat behaviour and customer value.

OUTCOME

Identify where value progression is constrained.

Choose next action

Decision systems

  1. 01Priority
  2. 02Recommended action
  3. 03Owner
  4. 04Success measure

Combine customer context and growth-driver evidence to set priorities, decide what to act on or test, and assign ownership.

OUTCOME

Decide what should happen next, for whom, what needs testing and how success and learning will be measured.

THE BEHAVIOURAL CLTV DRIVER MODEL

Understand how customer behaviour builds long-term valueand where that progression becomes constrained.Understand how customer behaviour builds long-term valueand where that progression becomes constrained.

Frequency, magnitude and quality show how engagement develops over time, how deeply customers interact and whether behaviour is progressing toward stronger intent and value. Together, they help identify where that progression is slowing or getting stuck.

Frequency

How often?

The number of distinct engagement moments a customer has within a defined period.

Magnitude

How deeply?

The number of sessions or interactions contained within an engagement moment.

Quality

How meaningful?

The customer's engagement or intent state within that moment.

FROM OPERATING MODEL TO DELIVERY

The value is not in the framework alone. It is in what teams can use every day.

WHAT GETS BUILT

We build the models, workflows and productsthat make better decisions repeatable.We build systems that make better decisions repeatable.Models. Workflows. Products.

The exact output depends on what is blocking growth. The work may start by identifying the customer behaviours and value drivers behind performance, then turn that evidence into decision logic, operational workflows or products that teams can use every day.

Understand and model

Identify the customer behaviours, value drivers and constraints that actually explain performance.

Outputs

  • Customer segmentation and behaviour systems
  • CLTV, value-driver and growth-lever models
  • Measurement frameworks tied to decisions

Decide and orchestrate

Turn evidence into explicit choices: what to prioritise, when to intervene and who owns the action.

Outputs

  • Prioritisation and opportunity models
  • Lifecycle and decision logic
  • Experimentation and learning systems

Activate and scale

Turn decision logic into tools and workflows teams can use consistently, learn from and improve over time.

Outputs

  • Decision-support and recommendation tools
  • Internal applications and workflows
  • Decision dashboards and operating tools

Each layer can create value independently.The strongest advantage comes from connecting them.

LET'S TALK

Have a growth problemworth getting into?

Bring the challenge. We'll work out what's actually getting in the way and what to do next.

Discuss a Growth Challenge