#Predictive Analytics #Pendo #Forwrd.ai

Pendo Acquires Forwrd.ai: A Game-Changer in Predictive Analytics

Pendo, recognized as the premier software experience management platform, has taken a significant leap forward by acquiring Forwrd.ai, a leading no-code predictive analytics platform based in Israel. This strategic move, announced on July 8, 2025, aims to fundamentally enhance how organizations leverage data to drive smarter business decisions.

Forwrd.ai allows business leaders to create custom AI models that can predict important outcomes like customer churn, upsell potential, and lead quality—all without needing specialized skills in data science or engineering. This capability comes at a crucial time when enterprises are awash in user and behavioral data yet often lack the tools to interpret this information effectively.

Addressing the Gap in Data Utilization

As businesses continue to evolve in a data-driven landscape, the demand for real-time insights has surged. The integration of Forwrd's technology into Pendo will give product and go-to-market teams access to actionable data that informs their strategies. By harnessing this capability, teams can proactively spot risks and opportunities. For instance, Pendo Predict, the new suite powered by Forwrd's technology, aims to help teams identify high-intent sales leads, detect customer churn risks early, and unearth expansion opportunities.

Todd Olson, CEO and co-founder of Pendo, emphasized the importance of usage data as a crucial indicator of customer health. He stated, "By integrating Forwrd's predictive engine into the Pendo platform, we're giving every team instant, actionable intelligence to grow revenue and eliminate churn."

Features of Pendo Predict

Pendo Predict is engineered to transform the data experience of cross-functional teams. Some of its key features include:

• - Churn Risk Modeling: Identifying accounts at risk of dropping off and understanding the underlying reasons for this.
• - Lead Qualification and Scoring: Prioritizing leads based on behavioral signals within the app, ensuring sales teams focus on the most promising prospects.
• - Expansion Opportunity Detection: Highlighting users with significant upsell potential by analyzing feature usage trends.
• - Predictive Segmentation: Dynamically filtering customer segments based on predicted outcomes to tailor approaches effectively.
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