Customer Targeting

Know which customers need attention next.

Connect customer behavior with inventory, orders, and fulfillment to see who to engage, when, and which issue to prevent first.

Satisfaction risk, spotted early Next-best action Tracked repeat behavior
Path Analytics customer targeting workflow connecting customer signals, customer intelligence, customer actions, and measured outcomes.
Engagement and Satisfaction Signals

Turn customer signals into next-best actions.

See what's working, what's not, and which customer action should happen next.

New vs Returning Customers

See acquisition and retention behavior side by side, by segment.

Next-Best Action

Recommend the next action based on demand, margin, and timing.

Satisfaction Risk

Catch delays, missing shipments, and return patterns before they hit loyalty.

Buyer & Demand Signals

Find where demand is active but conversion needs attention.

Inventory-Aware Engagement

Target demand using what's available and where it can ship from.

Repeat Behavior Tracking

Set a retention target and track whether behavior improves.

How It Works

From signal to the right action, in time.

Path Analytics connects the customer signal to supporting inventory and fulfillment evidence, then recommends an action for the team to review.

Core + Extensible

Built-in AI flags who needs attention today.

Built-in retail AI. Shared context for supported assistants and workflows.

See how AI assistants connect to Path Analytics →
Customer Targeting Signals

Use customer, inventory, and fulfillment signals together.

Engage sooner, prevent issues, and recover revenue from one platform.

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