Enhance Conversions with Enhencer Surveys Integration

This integration connects your Responsly survey feedback directly to Enhencer’s AI-powered predictive platform. It allows you to automatically feed customer sentiment and direct feedback (like NPS, CSAT scores, and open-ended comments) into your Enhencer models to predict future customer behavior with much higher accuracy.

The core benefit is to enrich your predictive models with crucial sentiment data. While Enhencer can predict customer behavior based on user activity (like clicks and purchases), this integration adds the "why" behind their actions. Knowing a customer is unhappy (from a low NPS score) is a powerful predictor of churn, often more so than usage data alone. This allows you to build more accurate models for predicting churn, identifying up-sell opportunities, and creating smarter customer segments.

This is a powerful tool for data-driven teams, including:

1. Growth and Marketing Teams: Who want to identify the best customers for up-sell/cross-sell campaigns.
2. Customer Success and Retention Managers: Who need to proactively identify at-risk customers before they stop using a product.
3. Data Scientists and Analysts: Who want to incorporate qualitative and sentiment data as features in their machine learning models to improve predictive accuracy.

Enhencer uses the survey data as a new, powerful set of features for its AI models. For example:

1. A low NPS score becomes a strong feature for the "Churn Prediction" model.
2. A high CSAT score after a purchase becomes a feature for the "Likely to Repurchase" model.
3. Keywords from text feedback can be analyzed and used to segment users (e.g., users who mention "pricing" vs. "features").