Churn and Win-Back Research

Phronesis Partners provides churn and win-back research to help organizations understand why customers leave, which customers are most at risk and what may encourage lapsed customers to return. A win-back study combines behavioral data with customer research to identify the factors driving attrition and the needs, experiences and competitor influences behind customer decisions.

By identifying key drivers of churn, whether related to service gaps, competitor appeal or unmet expectations, the research can help teams prioritize retention initiatives and develop more targeted approaches to customer re-engagement.

What a Churn and Win-Back Study Can Help You Understand

A churn and win-back study can examine which customer groups are most likely to leave, when churn occurs, which experiences or unmet needs contribute to attrition and why customers move to competing alternatives. Research with former customers can also explore what would need to change for them to reconsider the relationship.

Bringing these findings together helps organizations distinguish between different causes of churn and identify where retention or win-back activity is most likely to be relevant.

Churn and Win-Back Research Approach and Methodology

Churn and win-back research blends quantitative data analysis with qualitative insight to provide a comprehensive understanding of customer behaviors and motivations. Our data scientists and researchers conduct churn prediction modeling, cohort analysis and customer segmentation to identify at-risk customers and patterns of attrition. We complement this analysis with in-depth interviews and survey feedback to understand the emotional and rational triggers behind leaving or returning.

By integrating these findings, we craft detailed, evidence-based recommendations for personalized re-engagement strategies that resonate with lost customers and strengthen retention efforts across key segments

Combining Churn Data With Customer Interviews

Churn data can identify patterns, at-risk groups and points at which customers leave, but behavioral data alone may not explain why those patterns occur. Interviews and surveys with current, at-risk or former customers can provide the additional context needed to understand dissatisfaction, switching decisions, competitor appeal and the conditions that could support re-engagement.

Combining these sources gives teams both a quantitative view of where churn is occurring and direct customer evidence about the motivations behind it.

Discuss Your Churn and Win-Back Research Needs

Speak with our team about the customer groups, churn patterns and retention questions you need to investigate. We can develop a research approach combining customer data and primary research around the decisions your organization needs to make.

Discuss Your Churn Research