Flidget

Flidget is an intelligent churn prevention platform built specifically for SaaS founders and small teams who are tired of discovering user cancellations after the damage is already done. Unlike traditional analytics tools that only report churn as a historical metric, Flidget provides real-time predictive signals that tell you who is about to leave before they make the decision to cancel. The core innovation lies in its dual-signal approach: Drift Detection continuously monitors user behavior and assigns a live risk score with a plain-English reason, while Retention Copilot captures the authentic voice of the customer the exact moment they click cancel. This means your team wakes up each morning knowing exactly which users need a nudge today, complete with context like "last active 9 days ago, never completed onboarding" rather than a cryptic score drop. When a user does initiate cancellation, a short chat interface opens directly on your cancel page, allowing them to explain their reasoning in text or voice for about 10 seconds. That reason lands tagged and organized in your unified dashboard, ready for immediate action. Flidget integrates seamlessly with Stripe, Paddle, Lemon Squeezy, or any custom billing setup through a single npm install, taking approximately 10 minutes to go live. It is designed for SaaS teams who want to stop silent churn from draining monthly recurring revenue by turning passive analytics into proactive, automated retention workflows.

Drift Detection with Plain-English Scoring

Flidget's Drift Detection engine continuously analyzes user activity patterns and assigns each user a live risk score categorized as Healthy, Risky, or Drifting. Instead of showing a cryptic numerical score, the system outputs a clear, plain-English reason explaining the risk, such as "last active 9 days ago, usage dropping" or "never completed onboarding." This allows your team to understand exactly what is wrong and what action to take without decoding complex analytics dashboards.

Retention Copilot with Voice and Text Capture

When a user clicks the cancel button, Retention Copilot instantly opens a short chat interface directly on your cancel page without any redirects or form submissions. Users can type or speak for approximately 10 seconds in their own words to explain why they are leaving. The system captures the full transcript and automatically tags the primary churn reason, such as pricing, competitor, missing features, bugs, or other categories, landing it directly in your dashboard.

Unified Churn Dashboard with Filtering

All drift signals and exit reasons live together in one centralized dashboard, eliminating the need to switch between multiple tools or maintain spreadsheets. You can filter conversations by churn reason, read full transcripts of typed or voice replies, fire rescue emails from your own domain, and queue high-intent users into a win-back campaign. Everything you need to act on churn data is available in a single interface.

One-Click npm Integration

Flidget is designed for rapid deployment with a single npm install command. After installing the package, you add your public key and call Flidget.init once. Drift signals and exit capture functionality start working immediately from that point. The integration works with Stripe, Paddle, Lemon Squeezy, or any custom billing setup, making it compatible with virtually any SaaS stack.

Proactive User Outreach Before Cancellation

A SaaS team can use Flidget's Drift Detection to identify users whose engagement is dropping before they decide to cancel. For example, when a user becomes "Risky" with a score of 48% and a reason like "last active 5 days ago, usage dropping," the team can send a personalized check-in email or offer a feature tutorial. This proactive approach feels timely and helpful rather than intrusive, increasing the likelihood of re-engagement.

Capturing Authentic Exit Feedback at Scale

When a user clicks cancel, the Retention Copilot captures their genuine reasoning in their own words, avoiding the limitations of preset dropdown menus. A user might say "Mostly price, looked at AcmeCharts" or "Missing CSV export on Pro." This verbatim feedback is automatically tagged and stored, giving product teams actionable insights into why users leave, which can inform product roadmaps and pricing adjustments.

Automated Win-Back Campaign Management

After capturing exit reasons, Flidget allows teams to filter by specific churn reasons like "Pricing" or "Competitor" and queue high-intent users into a win-back queue. Teams can then fire rescue emails from their own domain or schedule follow-up sequences without opening another tool. This streamlines the retention process and ensures no potentially recoverable user falls through the cracks.

Real-Time Monitoring of Churn Trends

Product managers and founders can use the unified dashboard to monitor churn trends in real time. The system shows top churn reasons, recent conversations, and completion metrics for retention copilot sessions. For example, if "Pricing" represents 34% of sessions, the team knows to investigate pricing strategy. This data-driven approach turns churn analysis from a retrospective report into a continuous, actionable intelligence feed.

How quickly can I get Flidget running in my SaaS application?

Flidget is designed for rapid deployment. After running the single npm install command, you add your public key and call Flidget.init once. The entire setup process takes approximately 10 minutes. Drift signals and exit capture functionality begin working immediately from that point, with no complex configuration or server-side changes required.

Does Flidget work with any billing system or only specific ones?

Flidget is built to be billing-system agnostic. It works seamlessly with Stripe, Paddle, and Lemon Squeezy out of the box. Additionally, it supports any custom billing setup through its flexible integration layer. This ensures that regardless of your payment infrastructure, you can implement churn prevention without changing your existing billing workflow.

How does the Drift scoring system determine if a user is Healthy, Risky, or Drifting?

The Drift Detection engine analyzes multiple behavioral signals including login frequency, feature usage patterns, and onboarding completion status. Each user receives a risk percentage and a plain-English reason. Healthy users show recent activity and key feature usage. Risky users show declining engagement that is still salvageable. Drifting users are inactive and have never reached key features, requiring immediate attention.

What happens when a user submits their cancellation reason via voice or text?

When a user clicks cancel, a short chat interface opens on your cancel page. They can type or speak for about 10 seconds. The system captures the full transcript and automatically tags the primary churn reason into categories like Pricing, Competitor, Features, Bugs, or Other. This tagged reason, along with the transcript, appears in your unified dashboard where you can filter, read, and take action.

Flidget offers a free plan to get started, allowing you to hear your first exit reason without any cost. For teams that need full access to drift detection, retention copilot, and the unified dashboard, paid plans start at $29 per month. This tiered pricing model ensures that small teams and growing SaaS companies can access professional churn prevention tools at a reasonable monthly investment.