Quitlo
Quitlo uses AI voice conversations to understand churn and deliver actionable insights to Slack.
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Quitlo is the first Churn Intelligence Platform engineered specifically for B2B SaaS companies. It solves the critical problem of superficial, one-word customer feedback by replacing static surveys and dropdown forms with adaptive, AI-powered voice and text conversations. The platform automatically detects key churn signals—such as a cancellation request, a low NPS score, a failed payment, or post-onboarding silence—and engages the customer in a natural, two-minute dialogue. This AI doesn't just collect a reason; it asks intelligent, contextual follow-up questions to uncover the full story behind the decision. Within minutes, this deep intelligence is transformed into a structured summary delivered directly to tools like Slack or Jira, highlighting the exact churn reason, customer sentiment, competitor mentions, and concrete save opportunities. Designed for SaaS teams tired of losing customers they don't understand, Quitlo provides the actionable insights needed to build effective retention strategies, recover revenue, and systematically reduce churn. It serves as the ultimate modern alternative, consolidating the functions of survey tools, cancel flow apps, and enterprise VoC platforms into one automated, intelligent workflow. For teams transitioning from Delighted, Quitlo replaces all its functionality and adds AI voice follow-up capabilities.
Features of Quitlo
Adaptive AI Conversations
Quitlo's core feature is its AI-driven conversation engine that replaces static forms. When a churn signal is detected, the AI initiates a natural, two-minute voice or text dialogue. It intelligently asks follow-up questions based on the customer's initial response, digging beyond surface-level answers to uncover the full, contextual story behind their intent to leave, such as budget constraints, competitor switches, or feature gaps.
Automated Signal Detection
The platform continuously monitors your customer data for critical churn signals across five key categories. It automatically triggers an engagement when a customer initiates a cancellation, submits a low satisfaction score, experiences a payment failure, goes silent after onboarding, or reaches a win-back milestone. This ensures no at-risk customer slips through the cracks without an opportunity to be understood and saved.
Structured Intelligence Delivery
Every AI conversation is instantly analyzed and transformed into a concise, structured summary delivered to your team's workflow tools like Slack or Jira. The summary includes the categorized churn reason, customer sentiment analysis, any competitor mentions, a quantified save opportunity rating, and a concrete, suggested next action, enabling immediate and informed response.
Unified Churn Workflow
Quitlo consolidates multiple point solutions into one automated platform. It functions as an intelligent cancel flow, a dynamic survey tool, a payment recovery agent, a check-in system, and a win-back engine—all powered by the same AI conversation core. This eliminates tool sprawl and provides a single source of truth for all customer exit intelligence.
Use Cases of Quitlo
Recovering Cancelling Customers
When a customer hits the cancel button, Quitlo's smart widget offers a quick AI conversation instead of a dropdown form. The AI uncovers the real reason—like an org-wide switch to a competitor or a need for different pricing—and identifies a specific save opportunity, such as offering a team plan, which is immediately flagged for the CS team in Slack for rapid follow-up.
Understanding Low Survey Scores
Instead of just receiving a "low NPS" alert, Quitlo automatically engages detractors or passive respondents in a conversation. The AI asks why they scored low, follows up on their concerns, and transforms vague dissatisfaction into actionable feedback, revealing issues like poor onboarding or a specific missing integration that product teams can address.
Salvaging Failed Payments
For customers with failed credit card payments, Quitlo initiates a respectful check-in via voice or text. The AI conversation can determine if the churn is accidental (e.g., an expired card) or intentional (e.g., a decision to leave), and can even facilitate updating payment details on the spot, recovering revenue that would otherwise be lost to passive churn.
Re-engaging Silent Users
Post-onboarding, Quitlo can be configured to check in with users who have gone inactive. The AI conversation identifies blockers or confusion early in the customer journey, providing the success team with direct insights into where users are struggling and allowing for proactive intervention before disengagement turns into churn.
Frequently Asked Questions
How is Quitlo different from traditional exit surveys?
Traditional exit surveys rely on static dropdowns that force customers into one-word reasons like "too expensive," providing no context. Quitlo replaces this with an adaptive AI conversation that asks "why" and follows up to get the full story, turning a simple reason into a strategic retention insight with clear next steps.
What happens to the information from the AI conversations?
Every conversation is automatically analyzed in real-time. The key intelligence—churn reason, sentiment, competitor mentions, and save opportunity—is extracted and formatted into a structured summary sent directly to your team's tools like Slack. Full transcripts are also available for review, ensuring no nuance is lost.
Can Quitlo integrate with our existing stack?
Yes, Quitlo is built to fit into your automated workflow. It connects with essential tools for triggering conversations (like your billing system or survey tool) and for delivering intelligence (like Slack, Microsoft Teams, or Jira). This creates a seamless signal-to-action pipeline without manual data entry.
We use Delighted. Can Quitlo replace it?
Absolutely. Quitlo is designed as the direct modern successor to Delighted. It handles all standard survey and feedback collection functions. Crucially, it adds the AI-powered voice and text conversation layer to deeply understand why behind scores, delivering far more actionable intelligence than score collection alone.
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