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Multi-Store / Omnichannel

A customer who used to shop often can be a valuable opportunity.

The problem

A decline in visits can go unnoticed when transaction data and marketing execution operate separately.

The signal

Purchase recency, historical frequency, value and store/channel activity where integrated.

The action

Select an eligible re-engagement audience, tailor an appropriate message or offer and respect communication controls.

The measurement

Re-engagement, eligible repeat purchases, store visits when available, margin and customer value movement.

A practical question

Who used to shop with us, what changed, and what can we do that is relevant?

Key terms

TermDefinitionCaveat
Retention Customers active in a defined cohort at a later period, divided by the eligible original cohort. The cohort and what counts as purchase activity must be clear.
CLV, historic Value attributed to a customer to date. Say whether it is revenue or contribution. Not a forecast of future value.
Reactivation rate Definition to be supplied by Analytics. The source documents name this metric but do not define it.

What IDEAL could add

Evidence-based identification of unusual customer behavior and a proposed low-risk response for approval.

Register Interest in IDEAL

Bring high-value customers back

See Related Platform Capability
Store and channel activity, with a connected POSAvailable Through Integration