Booked Out Live Landing Page — First Behavioral Read

• 1. 94% mobile bounce on /bookout-live with 8% average scroll depth. Mobile users land on the hero, look at it for ~50 seconds of active time, and leave without scrolling. This is the dominant friction in the funnel — fix this and everything downstream improves.
• 2. Only 3.49% of /bookout-live sessions also reach /tickets in the same session. 86 sessions on the sales page produced just 3 same-session progressions to Step 2. Across the whole 3-day window, total /tickets visits = 12 (most of which came directly, not via the funnel).
• 3. “Get My Gold Ticket” on /tickets is firing as a dead click. Confirmed in 1 recorded session — user clicked the Gold tier CTA, nothing happened, recovered via the Summary/Checkout path. Aggregate count: 2 dead clicks across 12 /tickets sessions = ~17% of visitors hitting a broken purchase CTA.
• 4. Mobile Largest Contentful Paint = 6.8s (Google's “good” threshold is 2.5s). Combined with 8% scroll depth, slow load is plausibly part of the above-fold drop-off — users who don't see anything load fast enough to engage leave before scrolling.
• 5. The converter path runs through the popup form. Every recorded progression from /bookout-live to /tickets went via the “Early Bird Tickets” sticky button → popup form (Name/Email/Phone) → “Show Me My Ticket Options”. The main hero CTA buttons are getting clicks, but the recorded path-to-tickets uses the popup, not the main CTAs.

Evidence: 2 dead clicks logged on /tickets across 12 sessions (~17% of /tickets visitors). 1 session recording confirms the dead click is on the “Get My Gold Ticket” CTA — user clicked, nothing happened, recovered via Summary → Checkout As Guest path.

Impact: Gold is the $47 entry-level tier. It's the most-likely first ticket for cold traffic from Meta. A broken CTA on the entry tier is a hard wall at Step 2 of the funnel.

Fix: Inspect the Gold tier card in ClickFunnels. Verify the button is linked to a working product/checkout. Test as guest from mobile.

Evidence: Mobile users (94% of traffic) bounce 91% of the time after seeing 8% of the page. Active engagement time is 49s — they DO look at the hero, but they don't scroll. 76 clicks landed on non-text targets (image/video/icon elements), versus only 7 clicks on the main “Show Me My Ticket Options” CTA and 5 on the “Early Bird Tickets” sticky button.

Likely causes (in priority order):

• Scent mismatch: Meta ad creative emphasises Andy Elliott, vulnerability hooks, “busiest broke person.” The hero on /bookout-live leads with “Coaches Learn to Get Fully Booked, Command Premium Prices” — different promise, different language register.
• Slow LCP (6.8s mobile): Users on metered mobile / 4G see a blank hero for too long; bounce before paint completes.
• Hero overload: Headline + sub-head + countdown + CTA + venue card + stacked founder image all fight for above-fold attention. Mobile compression makes this feel cluttered.

Fix: Test a hero variant tuned to the partnership-ad scent (lead with Andy/Sarah vulnerability hook, not the “positioning” pitch). Aggressive image compression to bring LCP under 3s.

Evidence: Of 86 /bookout-live sessions, only 3 progressed to /tickets in the same session. Total /tickets visits = 12, meaning most /tickets traffic arrived directly (likely via the sticky “GET TICKETS” nav button bypassing the popup form).

Impact: The whole funnel architecture assumes /bookout-live sells → /tickets converts → /thanks confirms. If 96% of the cold ad traffic bounces at /bookout-live, no amount of /tickets optimization rescues the spend.

Coupling: Resolving F2 (above-fold leak) directly drives F3. They're the same problem at different layers.

Evidence: Largest Contentful Paint averages 6.8s on mobile. Google's “good” threshold is 2.5s, “needs improvement” is 2.5–4s, “poor” is >4s. Sarah's mobile LCP is in the “poor” band by ~3x.

Impact: A hero that takes 6.8s to render on mobile is a hero most Meta-app-browser users never see — they bounce while the page is still building. Compounds F2.

Fix: Compress hero stacked image. Inspect ClickFunnels image delivery for non-optimized formats (PNG over WebP, unconstrained widths). Defer non-critical fonts and scripts.

Evidence: All 3 recorded progressors went through the popup form on /bookout-live (Name/Email/Phone, plus phone-country-code selector). They reached /tickets. Then 2 of the 3 only typed 3 characters total and abandoned. None completed a ticket purchase in the recorded window.

Interpretation: The popup is doing two jobs — capturing a lead for nurture AND acting as the gate to /tickets. If progressors abandon on /tickets, the lead capture is the only ROI we're getting from the popup. That's defensible but worth confirming with ClickFunnels CRM data (how many of these 3 leads end up in the email list / get nurtured / convert later?).

Open question: Does the popup form's Name/Email/Phone pre-fill on /tickets, or does the user have to re-enter? If it doesn't pre-fill, that's removable friction.

Evidence: 1 session on mobile threw undefined is not an object (evaluating 'window.webkit.messageHandlers'). This is an iOS in-app browser quirk (Instagram/Facebook embedded WebView) — some script on the page tries to call iOS-native bridges that aren't exposed in the WebView.

Impact: Low (1/86 sessions). But worth tracking — if Meta partnership ad volume scales and the Facebook/Instagram in-app browser proportion grows, this could become a meaningful conversion killer. Add to the watch list for the next behavioral analysis pass.

3 sessions visited both /bookout-live and /tickets in the same session. None completed a ticket purchase in the recorded window. The shared pattern across all 3:

1. Landed on /bookout-live from a Meta partnership ad (m.facebook.com or instagram.com referrer, UTM campaign 120246838606200161).
2. Within 17–60 seconds, clicked the “Early Bird Tickets” sticky button or the floating sticky button text variant.
3. A popup form opened. They typed Name, Email, Phone (plus tapped the country-code dropdown for non-US users).
4. Clicked “Show Me My Ticket Options” → navigated to /tickets.
5. On /tickets, 2 of 3 only typed a few characters before bouncing. 1 of 3 attempted “Get My Gold Ticket” (which dead-clicked), recovered via the Summary/Checkout path, and abandoned at the $47 payment field.

What converters look like: Fast actors. The fastest progressor reached /tickets 19 seconds after landing on /bookout-live. They're reading the sticky CTA, not the hero body copy.

What we're NOT seeing: A confirmed Step 3 (post-purchase). No /thanks or success page hits in the data. With 3 progressors and 1 dead click on Gold, plus 2 form abandonments — actual ticket sales from this cohort is likely zero.

What: Inspect the Gold tier card's CTA in ClickFunnels. Confirm the button is linked to a working checkout product. Test the purchase path end-to-end from a mobile guest browser.

Why: Gold is the $47 entry tier — most-likely first ticket for cold Meta traffic. A broken purchase CTA on the entry tier is a hard funnel wall.

Measure: Re-run this Clarity analysis after fix; dead-click count on /tickets should drop to zero.

What: Test a hero variant aligned with the partnership-ad creative (Sarah's vulnerability hooks, Andy/Jackie endorsement framing, “busiest broke person” mechanism). The current hero leads with “Coaches Learn to Get Fully Booked” — different language register from the ads landing the click.

Why: 94% bounce + 8% scroll = above-fold mismatch. Ad-to-LP scent is the highest-leverage fix for this pattern.

Measure: Average scroll depth, bounce rate, /bookout-live → /tickets progression rate. Re-run analysis 14 days post-deploy.

What: Compress the hero stacked image (Andy/Sarah/Morgan + venue card). Convert to WebP if ClickFunnels supports it. Constrain image widths. Defer non-critical fonts.

Why: 6.8s LCP on metered mobile / 4G means users bounce before paint. Compounds the scent problem. Compressing the hero image is usually 60-80% of the LCP win on ClickFunnels pages.

Measure: Mobile LCP under 3s; bounce rate at 91% should drop materially.

What: Submit the popup form on mobile as a real user. Confirm Name/Email/Phone carry to /tickets' checkout form. If they don't, fix the ClickFunnels field mapping.

Why: Recorded progressors typed Name/Email/Phone on /bookout-live then started typing again on /tickets. If they're re-entering, that's removable friction at the highest-intent moment (someone trying to buy).

Measure: /tickets bounce rate (currently 58%); same-session purchase completion rate via Clarity Smart Events once R5 is in place.

What: In the Clarity dashboard, set up Smart Events for: (a) click on each ticket-tier “Get My X Ticket” CTA, (b) successful arrival on /thanks or whatever the post-purchase URL is. Map them to Clarity's Purchase event taxonomy so the converter-vs-non-converter query in the next analysis pass can compute true conversion rate.

Why: Currently we can't cleanly compute /tickets-to-purchase rate from Clarity alone — we're inferring from the absence of Step-3 visits. Smart Events make the funnel computable and unblock the “converter behavior” analysis layer on the next pass.

Measure: Once configured, the next analysis pass can report actual /tickets-to-purchase rate, broken by tier.

• → This week: Execute R1 (Gold dead-click fix) and R3 (LCP compression). Both quick. Both directly affect the cold-ad funnel.
• → Next 7–14 days: Hero variant test (R2). Configure Smart Events (R5) while you're in the dashboard anyway.
• → Re-run this analysis 2026-05-28 (~14 days of accumulated data): By then there should be ~500+ /bookout-live sessions across the partnership-ad spend window. That sample lets us split traffic by ad creative, compare hero variants if R2 is deployed, and trust the converter-behavior signal.
• → Cross-reference at next scorecard fill: Clarity's implied funnel rate (3.5%) vs the scorecard's LP CVR. Discrepancies tell us where the measurement layers disagree.

Methodology: Microsoft Clarity behavioral analytics, project wkk1lo991r. Data pulled via the Clarity Data.Export API through the clarity-behavioral-analysis skill. Mode 2 Performance Check. 13 MCP queries plus 4 session recordings reviewed. Visual cross-reference against the 2026-04-26 sales-page and tickets-page snapshots.

Sample size note: 86 + 12 sessions over 3 days is thin for statistical claims. All findings are directional. Recommendations prioritize signals confirmed by both aggregate data AND session-recording evidence (e.g., the Gold dead-click is in both the aggregate count and a session recording — high confidence).

Skill reference: .skills/skills/clarity-behavioral-analysis/SKILL.md · Capabilities: .skills/references/clarity-mcp-capabilities.md.