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Use AI to detect product-qualified leads in your Mixpanel data to accelerate your PLG motions.

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Spot Product-Qualified Leads Without an Army of Resources

Let AI detect PQLs without expensive resources, for better lead prioritization and sales efficiency.

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AI-Powered Usage-Pattern Analysis

Analyzing usage patterns is not just beneficial — it's critical for a successful PLG motion. Forwrd makes every interaction count.

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Gain a 360° Understanding of Users

Forwrd's cross-cloud data aggregation results in deeper insights, offering better visibility than a single data source.

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Make Your Product Data Actionable

Automatically sync scores & insights to tools sales reps uses daily to help them close more deals.

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See what our clients say

Leverage AI and automation to prioritize your best leads, accounts, and customers and enable your GTM teams with deal-closing insights.

Forwrd G2 reviews

"4X more PQLs"

PowToon boosts Marketing Ops efficiency & SDR productivity - achieves 10X faster lead response time and 4X more PQLs.

Powtoon testimonial
Artium Koner
Marketing Operations & Automation at Powtoon

“97% faster lead qualification”

"Our SDRs love it! Forwrd integrates with HubSpot seamlessly, making it easy to feed SDRS with predictions & insights in the CRM"

Forwrd AI Cato Networks success story
Liran Kringel
Marketing Ops at Cato Networks

“21% more qualified pipeline”

“Forwrd helps us exceed our pipeline targets. Its predictions help us stay focused and deliver significant value from day one.”

Forwrd AI Totango success story
Konstantin P.
Growth Manager at Totango

"78% accuracy predicting retention"

Forwrd's models help us to answer tough questions in a rapidly changing environment.

Lindsay Bigelow
Sr. Director, Global Customer Success Operations
at Jasper

"75% accuracy predicting churn"

We replaced our old health score (3 variables) with Forwrd's model (36 variables) which predicts churn with 75% accuracy.

Brighie Leach
Data Science Manager
at Jasper

“31% better retention"

WalkMe uncovers non-obvious factors that lead to churn - achieves 31% improvement in retention efforts.

Forwrd AI WalkMe success story
Matan Sagi
BI Team Lead at WalkMe
Frequently Asked Questions
Question - How can AI accurately score leads when our industry is highly unpredictable?
Question - We have a small sales team, and our historical data may not be sufficient for accurate lead scoring. Can AI lead scoring still work for us?
Question - What if the AI model fails to consider important qualitative factors that impact lead outcomes, such as personal relationships or unique customer circumstances?
Question - We already have experienced marketing managers who are adept at lead scoring. Why should we trust an AI model over their expertise?
Question - We’re concerned about the privacy and security of our data. How can we be confident that our sensitive sales information will be protected while using this AI feature?
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