You don't have sufficient information to indicate or predict when a customer will churn, so you can't prevent it.
Churn is detected too late. Standard reports show what happened (like fewer renewals) but rarely provide early behavioral signals to act while the customer can still be saved.
You see lagging indicators but miss key behavioral and experience factors like drops in feature use, friction points, bad experiences, or engagement changes.
Without clear churn reasons, retention relies on broad win-back campaigns and discounts, wasting resources on customers who don’t need them and missing those who do.
Business Impact
Customer churn directly causes a decline in recurring revenue, impacting the company’s financial stability.
High churn traps businesses in costly cycles, spending up to 25x more on new customers than retention.
Constant turnover erodes profit margins, stifles long-term growth, and damages brand reputation, limiting future opportunities.
The Kana Solution
Kana's Customer Engagement is an AI-powered loyalty strategist that helps growth and customer teams prevent churn before it happens. It connects to your CRM, loyalty, and marketing automation systems to spot at-risk customers early, explain why they may churn, and recommend the right personalized intervention while keeping humans in control via review.
How It Works
Kana doesn't just track who left; it predicts who will. By continuously analyzing lifecycle patterns such as activation, frequency, and spend, it can assign real-time risk scores, surfacing "at-risk" cohorts weeks before they churn.
Kana correlates drop-off signals with specific friction points such as price sensitivity, support issues, or lack of key feature adoption, so teams can intervene with precision rather than guesswork.
Kana acts as an always-on monitor, automatically flagging deviations in healthy usage patterns so your team can intervene immediately.
Validate your strategy before you launch. The Agent forecasts the potential revenue impact of saving specific cohorts and tracks the actual retention lift from your experiments, turning retention into a compounding learning loop.
Recommends targeted actions by risk level and value: re-engagement sequences, loyalty bonuses, calibrated incentives, relevant product/content offers, or support outreach; different customers, different plays.
How You Benefit
Shrink the insight-to-intervention cycle from weeks to hours, allowing you to address and stop churn before it's too late.
By identifying high-value at-risk segments and deploying targeted interventions, you directly protect recurring revenue.
Operationalize a repeatable retention testing agenda. Every re-engagement campaign adds to a cumulative understanding of what keeps your customers engaged and loyal.
Replace blanket win-backs with precision targeting. By ensuring incentives go only to customers who actually need them to convert, you preserve margin and stop subsidizing customers who were going to return anyway.
Automate the heavy lifting of cohort analysis and root-cause diagnosis, freeing your analysts to focus on crafting superior customer experiences and strategy rather than manually building churn reports.