Exit Intent

This skill designs end-to-end exit-intent popup strategies for ecommerce stores — deciding when to fire, what to offer, what copy and creative to show, and how to measure lift — so that recovery offers catch abandoning visitors without interrupting the ones who are still shopping or ready to check out.

Quick Reference

Solves

1. High cart abandonment with no recovery system — stores losing 60-80% of carts with no popup or only a generic browser-default prompt.
2. Popups that annoy engaged shoppers — exit overlays firing too early, on wrong pages, or for users who are actively browsing or already at checkout.
3. Weak or generic popup copy — "Wait! Don't leave!" headlines that fail to provide a compelling reason to stay or convert.
4. No offer strategy by visitor segment — same 10%-off code for a first-time visitor with a $20 cart and a returning customer with $300 in cart.
5. Mobile popup compliance gaps — overlays violating Google's interstitial guidelines, breaking mobile UX, or failing to display correctly on small screens.
6. Unmeasured popup impact — no A/B testing, no control group, no tracking of incremental revenue vs. margin erosion from discounts.
7. Brand and trust damage — aggressive popup patterns (multiple overlays, fake urgency timers, dark-pattern close buttons) that erode brand trust over time.

Workflow

Step 1 — Audit Current State

Collect baseline metrics before designing the strategy:

• Current desktop and mobile bounce rates by page type (home, collection, product, cart, checkout)
• Cart abandonment rate (carts created vs. orders completed)
• Existing popup tools in use (Privy, Justuno, OptinMonster, Klaviyo forms, native Shopify)
• Google Search Console Core Web Vitals status (especially CLS and INP)
• Current popup frequency and trigger rules if any exist
• Revenue per session and average order value for context on offer sizing

Deliverable: Baseline metrics snapshot with annotated problem areas.

Step 2 — Define Trigger Rules

Design trigger conditions that balance recovery rate with UX:

Desktop triggers (use AND logic):

• Time on page ≥ 15 seconds (proves engagement before interrupting)
• Cursor exits viewport toward top of screen (true exit signal)
• Page type is product or cart (highest-intent pages)
• User has NOT already seen popup this session
• User has NOT completed a purchase in the last 30 days

Mobile triggers (use OR logic since no cursor):

• Back button or navigation-away gesture detected
• Browser tab switch after 30s+ on site
• Scroll-to-top after reaching 70%+ page depth (intent reversal signal)

Exclusions (never show):

• User is mid-checkout (past shipping step)
• User arrived via email campaign with existing discount
• User has active discount code in cart
• User dismissed popup within last 72 hours

Deliverable: Trigger rules matrix with conditions, logic operators, and exclusion list.

Step 3 — Design Offer Tiers

Create segmented offers based on cart value and visitor type:

Deliverable: Offer tier matrix with segment definitions, offer values, and margin impact estimates.

Step 4 — Write Copy Variants

Create 3 copy variants per offer tier for A/B testing:

Structure for each variant:

• Headline (≤ 8 words, benefit-led or curiosity-driven)
• Subheadline (1 line, specifics of the offer)
• CTA button text (action verb + benefit)
• Dismissal text (low-pressure, no guilt)

Copy principles:

• Lead with what they GET, not what they're LOSING
• Use specific numbers ("15% off" not "a special discount")
• CTA should complete the sentence "I want to..."
• Dismissal text should be neutral ("No thanks, I'll pay full price" not "No, I hate saving money")

Deliverable: Copy matrix with 3 variants per tier, each with headline, subheadline, CTA, and dismiss text.

Step 5 — Specify Creative and Layout

Define visual specifications for the popup:

• Format: Centered modal on desktop (max 500px wide), bottom slide-up drawer on mobile (max 40% viewport height)
• Visual hierarchy: Headline → product image or lifestyle shot → offer details → CTA button → dismiss link
• Colors: CTA button uses brand primary, background uses white or light neutral, text uses brand dark
• Animation: Fade-in with subtle scale (200ms ease-out), no bounce or shake effects
• Close affordance: X button top-right (min 44px touch target), click-outside-to-close, Esc key support
• Accessibility: Focus trap within modal, aria-modal="true", role="dialog", aria-labelledby pointing to headline

Deliverable: Creative spec document with wireframe, color tokens, animation timing, and accessibility requirements.

Step 6 — Build A/B Testing Plan

Design sequential tests to isolate each variable:

Test 1 — Trigger sensitivity (Week 1-2):

• Control: No popup
• Variant A: Trigger at 15s + cursor exit
• Variant B: Trigger at 30s + cursor exit
• Primary metric: Incremental revenue per session
• Guardrail: Bounce rate increase < 2pp

Test 2 — Offer type (Week 3-4):

• Use winning trigger from Test 1
• Control: Free shipping
• Variant A: Percentage discount
• Variant B: Dollar-off discount
• Primary metric: Popup conversion rate
• Guardrail: Gross margin per converted session

Test 3 — Copy and creative (Week 5-6):

• Use winning trigger + offer
• Test 3 headline/CTA combinations
• Primary metric: Popup click-through rate
• Guardrail: Overall site conversion rate

Statistical requirements:

• Minimum 1,000 popup impressions per variant
• 95% confidence level, 80% power
• Run each test for minimum 2 full business cycles (14 days)

Deliverable: A/B test roadmap with timeline, variants, metrics, sample sizes, and decision criteria.

Step 7 — Monitor and Iterate

Set up ongoing monitoring dashboards and iteration cycles:

• Daily: Popup impression count, CTR, conversion rate, revenue attributed
• Weekly: Compare test variant performance, check guardrail metrics
• Monthly: Review offer margin impact, update copy for seasonal relevance, check CWV scores
• Quarterly: Full strategy review — retire underperforming variants, test new offer structures

Deliverable: Monitoring dashboard spec with KPIs, alert thresholds, and review cadence.

Examples

Example 1 — DTC Skincare Brand ($85 AOV, 72% Cart Abandonment)

Input: "We sell premium skincare DTC on Shopify. AOV is $85, cart abandonment is 72%. We have no exit popups. Our margins are 65%. We get 40K monthly sessions, 60% mobile."

Audit findings:

• No existing popup infrastructure
• Desktop bounce rate: 48% (acceptable), Mobile: 61% (high)
• Cart page drop-off: 38% of users who add to cart never reach checkout
• CWV scores: All green (LCP 1.8s, CLS 0.02, INP 120ms)
• No existing email popup or discount system

Trigger rules designed:

• Desktop: Time on page ≥ 20s AND cursor exit toward top AND page is product or cart AND no popup shown this session AND no purchase in 30 days
• Mobile: Back-button gesture after 25s+ on product page OR tab-switch from cart page
• Exclusions: Checkout pages, users with active promo code, users who dismissed within 72h, users arriving from Klaviyo email links

Offer tiers:

Copy variant A (winning):

• Headline: "Your cart is waiting"
• Subheadline: "Complete your order in the next 15 minutes and get free express shipping"
• CTA: "Upgrade My Shipping — Free"
• Dismiss: "No thanks, standard shipping is fine"

Results after 6 weeks:

• Popup impression rate: 12% of sessions (correctly filtered)
• Popup CTR: 8.4%
• Incremental revenue: $18,200/month
• Cart abandonment: 72% → 64%
• CWV impact: None (popup JS: 14KB, lazy-loaded)

Example 2 — Electronics Accessories Store ($42 AOV, High Mobile Traffic)

Input: "We sell phone cases and accessories on WooCommerce. AOV is $42, margins are 45%. 78% mobile traffic. We tried a popup before but it hurt our Google rankings."

Audit findings:

• Previous popup was a full-screen interstitial on mobile (violates Google guidelines)
• CLS jumped to 0.18 when popup was active (failing CWV threshold)
• Desktop bounce: 52%, Mobile bounce: 67%
• Cart abandonment: 68%
• Previous popup had no frequency cap — showed on every page load

Trigger rules designed:

• Desktop: Time ≥ 15s AND cursor exit AND product or cart page AND session popup count = 0
• Mobile: NO full-screen overlay. Instead: sticky bottom bar (non-intrusive) that appears after 30s on product page, collapses to icon after 5s if not engaged
• Exclusions: Checkout, returning purchasers within 14 days, users who clicked dismiss, search-engine bot user agents

Mobile-specific design:

• Format: Bottom sheet, 30% viewport height, slides up with 250ms ease
• Does NOT cover main content — user can continue scrolling
• Complies with Google's mobile interstitial guidelines (not penalized)
• Touch target: 48px minimum for CTA and close

Offer strategy (low margins require caution):

Copy variant B (winning):

• Headline: "Free shipping unlocked"
• Subheadline: "Your cart qualifies — checkout now to lock it in"
• CTA: "Checkout with Free Shipping"
• Dismiss: "Maybe later"

Results after 4 weeks:

• Mobile bounce rate: 67% → 63%
• CWV: CLS back to 0.03 (green), no ranking impact
• Popup engagement: 6.2% CTR
• Incremental revenue: $4,800/month
• AOV lift: $42 → $47 (from "add more for free shipping" bar)

Common Mistakes

1. Firing popups too early — Showing an exit popup within 5 seconds tells the visitor you expect them to leave. Wait at least 15 seconds to ensure they've had time to engage with the page content.

1. Using full-screen interstitials on mobile — Google penalizes intrusive interstitials on mobile in search rankings. Use bottom sheets, slide-up drawers, or sticky bars instead of overlays that cover the main content.

1. Offering the same discount to every visitor — A blanket 15%-off code trains all visitors to expect discounts and erodes margins. Segment offers by cart value, visitor type, and page context.

1. No frequency cap — Showing the popup on every page visit creates popup fatigue and actively pushes visitors away. Cap to 1 impression per session with a 72-hour cross-session cooldown.

1. Testing everything at once — Changing the trigger, offer, copy, and design simultaneously makes it impossible to know what drove the result. Test one variable at a time in sequential experiments.

1. Ignoring Core Web Vitals impact — Heavy popup scripts, layout shifts from overlay rendering, and render-blocking CSS can tank CWV scores. Lazy-load popup code, keep the bundle under 20KB, and ensure zero CLS.

1. Dark-pattern dismiss buttons — Tiny close buttons, guilt-trip dismissal copy ("No, I hate saving money"), or fake countdown timers damage brand trust and may violate consumer protection regulations in some jurisdictions.

1. Not measuring incrementality — Tracking popup conversion rate without a holdout control group overstates impact. Many popup converters would have purchased anyway. Always run with a no-popup control to measure true incremental revenue.

1. Showing popups to returning purchasers — A customer who bought last week doesn't need a discount popup. Exclude recent purchasers and let loyalty programs handle retention offers.

1. Forgetting accessibility — Popups without focus trapping, keyboard navigation, screen-reader labels, or sufficient color contrast exclude users and may create legal liability under ADA/WCAG requirements.

Resources

• Output Template — Structured template for the complete exit-intent strategy deliverable
• Trigger Rules Guide — Deep-dive into trigger logic, device-specific patterns, and exclusion rules
• Offer Strategy Guide — Frameworks for segmenting offers by visitor behavior and cart context
• Quality Checklist — Pre-launch checklist covering UX, compliance, performance, and measurement