Turn Exit Intent Into Recovery Opportunity

Users don't leave randomly. They leave when something stops them—unclear pricing, missing information, technical friction, or unaddressed doubts. Analytics show where users drop off. Exit surveys hours later get 3% response rates with rationalized answers.

Pulse Conversion Agent detects exit intent in real-time, asks one targeted question to understand the specific barrier, and surfaces pre-approved content that addresses the objection—capturing feedback while potentially recovering the session.

Average result: 8-15% of detected exits recovered, 60%+ provide actionable feedback that informs optimization.

How It Works

Detect → Exit intent signals (cursor toward close button, rapid scroll to bottom, time threshold without engagement, back-button patterns)

Diagnose → One contextual question identifies the barrier ("Before you go—what's stopping you?")

Intervene → Surface pre-approved response from your content addressing common objections (or capture feedback for improvement)

The research process helps you document top abandonment reasons, you write responses once, we deliver them at exit intent moments.

The Big 3 Friction Patterns

1. Signup / Registration Abandonment

Addresses objections in the moment.

Signals: Exit intent from signup form, form field abandonment, time on form without submission

Question: "Before you go—what's stopping you from signing up?"

What we surface from your site:

• Simplified signup you offer ("We only need email to start—add the rest later: [simplified signup link]")

• Commitment clarifications from your policies ("No credit card required. Cancel anytime—literally one click")

• Privacy assurance from your policy ("We never share your data. Delete your account anytime: [privacy link]")

Expected lift: 10-20% signup recovery from detected exits

2. Cart / Checkout Abandonment

Most objections are addressable with information.

Signals: Exit intent from cart/checkout pages, time on shipping/payment without action, repeated price checking

Question: "Almost there—what's holding you back?"

What we surface from your site:

• Shipping information you provide ("Free shipping over $75—you're $12 away" or "See shipping rates: [calculator link]")

• Save cart functionality if you offer it ("Save your cart—we'll hold items 48 hours + send reminder")

• Security assurance from your policies ("Payment is encrypted and secure. We never store your card: [security link]")

Expected lift: 12-18% cart recovery from detected exits

3. Pricing Page Abandonment

Pricing confusion and hesitation are addressable with guidance.

Signals: Exit intent from pricing page, time on pricing without plan selection, repeated plan comparisons

Question: "Not finding the right fit?"

What we surface from your site:

• Plan guidance you create ("Most [customer type] start with [lower tier]—upgrade anytime if you need more")

• Plan selector you build ("Need help choosing? Answer 3 questions: [quick selector] or chat with us")

• Feature list from your site ("Don't see a feature you need? [Full feature list link] or ask us: [contact]")

Expected lift: 8-15% pricing page recovery from detected exits

Five More High-Impact Patterns

Form Abandonment (Lead Gen, Contact)
Exit from forms, partial completion. We surface alternative contact methods you provide (call/text/email), field clarifications, or simplified form version if available.

Content / Information Page Abandonment
Short time on page, rapid scrolling. We surface search functionality, FAQ links, or alternative content you have—plus capture what information they couldn't find.

Multi-Step Process Abandonment
Exit during onboarding/setup flows. We surface save progress functionality if you offer it, walkthrough guides you've created, or value explanation for completing.

Free Trial / Demo Request Abandonment
Exit from trial signup or demo forms. We surface product demo videos you have, trial terms clarification, or team demo scheduling if available.

Feature Comparison Abandonment
Exit while comparing options. We surface comparison guides you've created, tier explanations you've written, or specific use case matching from your content.

How Interventions Are Built

The research process:

1. Deploy detection first - Capture top abandonment reasons at key points

2. You document responses - Pre-written answers to common objections (information, not pressure)

3. We deliver contextually - Right response when users show exit intent

4. Capture what you can't solve - Feedback informs what to fix next

Even interventions that don't recover sessions provide intelligence that prevents future abandonment.

What Makes This Different

Real-time - Captures reason in the moment, not days later via survey
Two-way value - Recovery opportunity + intelligence about what to fix
Information-first - Addresses objections with clarity, not pressure tactics

Measurement

• Session recovery rate - Exits converted after intervention vs. control

• Abandonment reason distribution - What actually causes exits, not guesses

• Feedback quality - Actionable intelligence about barriers to fix

Exit intent isn't the end—it's an opportunity to understand and address what stopped them.