Turn store, ERP, and support data into a clear picture of who your customers are, what they do, and where your business is losing or earning their trust.
Most stores do not lack data. They lack a shared definition of a customer.
When the storefront, ERP, and support desk each hold a different version of the same person, every report disagrees and no one trusts the numbers enough to act on them.
A single trusted definition turns reporting from an argument into a decision.
Where to start
01
Agree one customer identity across storefront, ERP, and support systems.
02
Define the events that matter before building dashboards around them.
03
Review a small number of metrics regularly instead of many occasionally.
Behaviour signals
What the data keeps telling us
Patterns we see repeatedly across storefronts, ERP systems, and support desks.
Segmentation
Group customers by behaviour, not just demographics
Purchase frequency, order value, category mix, and buying cadence usually predict future behaviour better than profile fields.
Try thisStart with three segments you can actually serve differently.
Retention
The second order matters more than the first
Acquisition gets attention, but the move from one purchase to two is where sustainable revenue usually begins.
Try thisMeasure time-to-second-order and what happens just before it stalls.
Journey
Friction rarely sits where teams assume
Drop-off often comes from unclear delivery expectations, payment options, or account steps rather than the product page itself.
Try thisTrace one real order end to end before optimising anything.
Support
Support tickets are unfiltered customer research
Recurring questions expose confusing pricing, unclear stock information, and missing self-service more honestly than surveys.
Try thisTag tickets by theme and review the top five every month.
B2B
Business buyers behave like accounts, not individuals
Approvals, budgets, contract pricing, and reorder cycles shape B2B behaviour far more than individual browsing patterns.
Try thisReport at account level, then drill into individual users.
Measurement
Fewer metrics, reviewed more often, win
Dashboards fail when they show everything. Teams act when a small set of numbers is tied to a specific owner and decision.
Try thisGive every core metric an owner and a review cadence.
Customer journey
Five stages worth measuring
Each stage answers one question and produces its own signal.
