Apps · Customer Affinity Intelligence

Score a single customer

Enter a customer, compute the deterministic spider baseline, layer in behavioral signals, and generate a personalized outreach message.

Customer details

Fill what you know — the engine handles missing fields gracefully.

Name Email Phone Location / lead source

Vehicle interest Brand preference Specific model (optional)

Budget Timeline Preferred contact

Step 1 · Compute baseline

Deterministic — uses brand + vehicle to compute the 8-attribute spider in <100ms.

Behavioral signals

Pick any that apply. The LLM uses these to adjust the spider scores.

Vehicle interest

Lifecycle stage

Behavioral signals

Buying timeline

Communication preference

Step 2 · Analyze behavioral signals

LLM call (~5–10s). Adjusts spider scores and produces an affinity-graph node list.

Affinity profile

Sarah Chen · tesla Model Y

Compute baseline to render the spider.

Personalized outreach

Grounds the message in this customer's affinity profile + intents.

Pick intents + Analyze first

Tone