Product · Lead-to-Close Workflow

Not all leads are equal.
ZUUZ knows the difference.

ZUUZ scores leads by fit, urgency, source quality, buying signal strength, and prior account history — so reps always know which leads to prioritize first.

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Scoring factors

Multi-factor scoring grounded in real signal.

Company Fit
Segment, industry, size, geography matched against your ICP
Buying Intent
Language, urgency cues, and buying signals detected in the email
Source Quality
Direct inbound, referral, event, or cold outreach — weighted accordingly
Account History
Prior deal history, interactions, and existing relationships from CRM
Timing & Velocity
How quickly the prospect is moving and timing signals for readiness
FAQ

Frequently asked questions.

How does ZUUZ score leads?
ZUUZ uses a multi-factor model combining company fit (industry, size, geography), buying intent signals from email language, source quality, account history from CRM, and timing velocity — producing a prioritized score before a rep touches the record.
Can I customize the scoring model?
Yes. Scoring weights are configurable during implementation to match your ideal customer profile, deal cycle, and motion type — inbound, outbound, or account-based.
Does ZUUZ score leads from all channels?
Lead scoring is primarily email-first, as that is where inbound buying intent is most clearly expressed. Slack and Teams signals enrich the score. Web, form, and other sources can be connected via integration.
How is ZUUZ lead scoring different from CRM-native scoring?
CRM-native scoring is rule-based and static — it scores what was entered into the CRM. ZUUZ scores from live signal — what the prospect said in the email, how urgently they wrote, what the thread history shows.
What does ZUUZ do after scoring?
After scoring, ZUUZ recommends the exact next step for each prioritized lead — draft outreach, meeting request, or routing to a specific rep — and creates the CRM task automatically.

See lead scoring live.

Watch ZUUZ score and prioritize a set of inbound leads in real time.

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