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Clarity for every conversion decision

Machine learning analyzes your GTM data to deliver actionable, predictive scores—prioritize leads, accounts, and campaigns that drive revenue.

Trusted by top revenue teams
Platform capabilities

Predictive scoring, built for RevOps

Data ingestion

Connect CRM and marketing data

Aggregate historical CRM, marketing, and engagement data automatically. No manual prep—handles real-world complexity.

Custom criteria

Set your own conversion logic

Define success metrics and timeframes. Tailor predictive models to your segments and workflows.

Explainable outputs

Transparent scoring and signals

View clear, actionable scores with full visibility into the signals driving each prediction. Build trust across teams.

Workflow ready

Push scores to your teams

Send predictive scores directly into sales and marketing tools for instant prioritization and action.

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Metrics that matter most

Actionable performance insights from real GTM data. Predictive scoring highlights what drives conversion and revenue impact.

99.9% uptime

Enterprise-grade reliability

Continuous access for critical workflows. Designed for operational consistency at scale.

2.5x pipeline lift

Increase in qualified pipeline

Prioritize high-converting leads to improve pipeline quality and accelerate revenue growth.

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Pricing built for real teams

Flexible plans for every stage. All options include predictive scoring, CRM sync, and actionable insights for revenue operations.

Proven results for GTM teams

Revenue and marketing leaders rely on predictive scoring to prioritize high-conversion opportunities and drive measurable outcomes.

“Predictive scoring let us focus on the right leads, improving pipeline quality and accelerating sales cycles.”


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Alex Rivera
Head of Revenue Operations

“Actionable scores help us prioritize accounts that convert. The transparency builds trust across teams.”


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Casey Morgan
Director of Marketing Analytics

“Integrating predictive models was seamless. We now make data-driven decisions, not assumptions.”


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Jordan Ellis
VP, Growth Strategy

FAQ: predictive scoring explained

Answers to common questions about predictive scoring, data integration, and platform transparency.

How does predictive scoring operate?

The platform uses historical CRM, marketing, and engagement data to calculate conversion likelihood. Scores help teams focus on leads and opportunities most likely to convert, based on real outcomes.

Which data sources are supported?

Integrate CRM, marketing automation, intent, and engagement platforms. Built for complex, real-world RevOps data environments.

Are scoring models transparent?

Yes. Each score includes clear insights into the main factors influencing predictions, supporting trust and understanding.

Who benefits from this platform?

Revenue Operations, Marketing Ops, and Data teams at B2B SaaS companies seeking actionable, data-driven prioritization for go-to-market and growth.

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