Customers

Understand value, movement and relationships
without losing the evidence.

See eligible customer and journey signals in context, keep observed behaviour separate from inferred preference and use supported patterns in responsible store decisions.

Illustrative customer signalPattern observed
Which customer patterns deserve attention?Repeat interest emerging

A connected view of behaviour, intent and commercial context without reducing a person to a single segment label.

Signal typeObserved
ConfidenceShown

Illustrative interface - actual results depend on your store data

Customer context with restraint

Relevance begins with understanding,
not assumption.

Customer Intelligence brings behavioural signals into the same context as products, orders and store performance. It supports useful personalisation while keeping the difference between observation and inference visible.

01Behavioural

See meaningful actions in context.

02Connected

Use the same context across Liva 7.

03Respectful

Inference and confidence stay visible.

01
Signals

Understand meaningful behaviour

Bring browsing, purchase and engagement signals together without treating any single action as the whole customer story.

Observed
02
Patterns

Recognise useful relationships

Identify repeated interests, affinities and journeys that can inform a better store decision.

Connected
03
Context

Keep the commercial question visible

Use customer understanding because it helps answer a store question, not because more segmentation is always better.

Purposeful
04
Activation

Carry understanding into the experience

Support recommendations, content and storefront placement with the same customer context.

Actionable
From behaviour to relevance

Observe the signal.
Use it with a clear purpose.

Liva 7 connects customer understanding to the decision it is intended to support, whether that is a recommendation, a message, a product relationship or a storefront experience.

What stays connectedCustomer context remains connected to the decision, experience and result it informed.
  1. 01
    ObserveRead the behaviour

    Relevant customer and session signals are connected.

  2. 02
    DistinguishLabel the evidence type

    Observed and inferred information remain separate.

  3. 03
    UnderstandIdentify the pattern

    Behaviour is considered with product and store context.

  4. 04
    ApplySupport a decision

    The insight informs a relevant recommendation or experience.

  5. 05
    LearnMeasure what followed

    The outcome adds context to future decisions.

Respectful personalisation

Useful context should not
become unexplained surveillance.

Signal origin, confidence and intended use remain visible. Customer context supports a relevant experience rather than becoming a claim about a person that the evidence cannot support.

01
LanguageInference is labelled as inference

The system does not present interpretation as observed fact.

Honest
02
PurposeContext supports a clear decision

Personalisation remains connected to a useful store goal.

Focused
03
ControlActivation remains governed

You decide how customer context is used in your store.

Controlled
One connected operating system

Make the next store decision more relevant to the people it should help.

Connect customer signals to practical, reviewable store action.

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