Flidget

Flidget predicts churn with drift scores and captures real exit reasons via AI chat, all in one dashboard to stop silent churn.

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Published on:

May 11, 2026

Pricing:

Flidget application interface and features

About Flidget

Flidget is a proactive retention intelligence platform designed exclusively for SaaS founders, product managers, and small teams who are tired of discovering user churn after the damage is already done. Unlike traditional analytics tools that merely report historical churn rates, Flidget provides real-time, actionable signals that predict which users are about to leave before they make the decision to cancel. The product operates on a simple but powerful premise: most tools tell you churn happened, but Flidget tells you it is coming. It achieves this through a dual-signal system that combines predictive drift scoring with moment-of-exit feedback capture. Every user in your product receives a live risk score categorized as Healthy, Risky, or Drifting, accompanied by a plain-English explanation of why their status changed. When a user does click cancel, a short chat interface opens directly on your cancel page, allowing them to type or speak their reason in their own words. That feedback lands tagged and organized in your dashboard, ready for immediate action. Flidget integrates seamlessly with Stripe, Paddle, Lemon Squeezy, or any custom billing setup, and can be live in your application within 10 minutes with a single npm install. It is built for teams who want to reduce monthly recurring revenue (MRR) leakage, improve customer retention workflows, and stop silent churn before it drains their bottom line. A free plan is available, with paid plans starting at $29 per month.

Features of Flidget

Drift Detection and Live Risk Scoring

Flidget continuously monitors every user in your product and assigns a live risk score based on engagement patterns, feature usage, and activity recency. Users are classified as Healthy (0 to 29 percent risk), Risky (30 to 60 percent risk), or Drifting (over 60 percent risk). Each classification includes a plain-English reason, such as "last active 5 days ago with usage dropping" or "9 days inactive and never used invite_teammate." This eliminates the need for your team to decode abstract score changes. Instead, you wake up knowing exactly who needs a nudge today, before they have made up their mind to leave. The system flags slipping users days before cancellation, giving your team a critical window to intervene with targeted outreach.

Retention Copilot with Voice and Text Exit Capture

The moment a user clicks the cancel button on your billing page, a short chat interface opens directly on that page without any redirects or form submissions. Users can type or speak for approximately 10 seconds in their own words, explaining why they are leaving. This captures the real, unfiltered reason for churn, rather than forcing users to select from a generic dropdown menu. The feedback is automatically transcribed, tagged with relevant categories such as pricing, competitor, features, bugs, or other, and instantly appears in your Flidget dashboard. This feature ensures you hear the authentic voice of your departing users, providing actionable intelligence that standard exit surveys cannot deliver.

Unified Retention Dashboard

Both drift signals and exit reasons live together in a single, centralized dashboard. You can filter conversations by churn reason, read full transcripts of typed or voice responses, and view aggregated data such as top churn reasons and win-back queue counts. The dashboard displays metrics like Retention Copilot completions for the current month, allowing you to track how many exit feedback sessions your team has captured. From this one interface, you can fire a rescue email from your own domain without opening another tool, and queue high-intent win-back candidates for follow-up. This eliminates the need for spreadsheets, manual data consolidation, or switching between multiple applications to manage retention workflows.

Retention Copilot Win-Back Queue

When users provide their exit reason, Flidget automatically evaluates the context and intent behind their feedback. High-intent exits where users mention competitors, pricing concerns, or missing features are routed into a dedicated win-back queue. Your team can filter by specific churn reasons like pricing or missing features, read the full conversation transcript, and take targeted action. This feature allows you to prioritize follow-ups with users who are most likely to respond positively to a rescue email or personalized outreach, increasing the efficiency of your retention efforts and reducing the time spent on low-probability recovery attempts.

Use Cases of Flidget

Proactive Churn Prevention for SaaS Teams

SaaS teams can use Flidget to identify users who are drifting toward cancellation days or weeks before they actually leave. By monitoring drift scores and plain-English signals, customer success managers can reach out to users who have become inactive, never completed onboarding, or stopped using key features. This proactive approach transforms retention from a reactive, post-mortem activity into a continuous, preventative process. Teams can send targeted rescue emails, offer personalized assistance, or trigger in-app nudges to re-engage slipping users before they make the decision to cancel, directly protecting monthly recurring revenue.

Capturing Authentic Exit Feedback for Product Improvement

Product managers can leverage Flidget's moment-of-exit chat to collect genuine, unfiltered feedback from departing users. Instead of relying on generic survey responses or assumptions about why users leave, teams receive verbatim reasons that are automatically tagged and categorized. This data provides direct insight into product gaps, pricing sensitivity, competitive threats, and feature requests. By analyzing aggregated churn reasons and reading full transcripts, product teams can prioritize roadmap items, adjust pricing strategies, and address bugs or missing features that are driving cancellations.

Streamlined Win-Back Campaigns for Customer Success

Customer success teams can use Flidget's win-back queue to efficiently identify and prioritize high-intent exits for recovery campaigns. When a user mentions a competitor or expresses interest in a feature that exists but was not discovered, the team can immediately send a targeted rescue email from their own domain. The unified dashboard allows them to filter by churn reason, read the conversation transcript, and craft personalized follow-ups without switching between tools. This use case reduces the friction of manual data gathering and increases the likelihood of successfully recovering at-risk accounts.

Real-Time Retention Monitoring for Small Teams and Founders

Small teams and solo founders who lack dedicated customer success resources can use Flidget as an automated retention assistant. The product requires only a single npm install and a public key to be live, making it accessible even for teams with limited engineering bandwidth. Drift signals provide daily alerts about which users need attention, while exit capture ensures no cancellation goes undocumented. Founders can monitor their entire user base from one dashboard, fire rescue emails directly, and maintain visibility into churn trends without hiring additional staff or building custom retention infrastructure.

Frequently Asked Questions

How long does it take to set up Flidget in my SaaS application?

Flidget can be live in your application in approximately 10 minutes. The setup process requires a single npm install of the @flidget/web-sdk package, followed by adding your public key and calling Flidget.init once. After initialization, drift signals and exit capture functionality begin working immediately. The product integrates with Stripe, Paddle, Lemon Squeezy, or any custom billing setup, so you do not need to modify your existing payment infrastructure.

What exactly is a drift score and how is it calculated?

A drift score is a live risk assessment that classifies every user in your product as Healthy, Risky, or Drifting. The score is calculated based on recency of activity, feature usage patterns, onboarding completion status, and overall engagement trends. Each classification comes with a plain-English reason, such as "last active 9 days ago, never completed onboarding" or "logged in 2 days ago, used invite_teammate." You do not need to decode abstract numbers; the system tells you exactly what is wrong and what action to take.

How does the exit chat work when a user cancels?

When a user clicks the cancel button on your billing or subscription page, a short chat interface opens directly on that page without any redirects. Users are prompted to type or speak for approximately 10 seconds in their own words, explaining why they are leaving. There are no dropdown menus or forced selections. The response is automatically transcribed, tagged with relevant categories like pricing, competitor, features, bugs, or other, and appears in your Flidget dashboard. You can read the full transcript and filter conversations by churn reason.

Can I send rescue emails from my own domain using Flidget?

Yes, Flidget allows you to fire rescue emails directly from your own domain without opening another tool. When a user provides their exit reason, you can immediately compose and send a personalized email from the unified dashboard. This ensures your outreach feels authentic and consistent with your brand. You can also queue high-intent win-back candidates for follow-up, all within the same interface. There is no need to switch to a separate email platform or export data manually.

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