JIT Dashboard

📊 Your sales funnel this week

Where the money flows — and where it leaks. Tap any stage for details.

How do I improve my sales this week? auto from data

Three moves — derived from the biggest leak signals in your data. Tap any card for the full plan.

What's already working auto from data

Don't touch these — they're producing. Tap for the "why."

What changed this week

Timeline of meaningful events. The dashboard explains its own deltas.

🗺 Acquisition Paths Map

Every realistic way a human reaches your offers · 17 paths · 4 families · Avinash Kaushik See/Think/Do/Care + DigitalMarketer CVO frameworks

🎯 Path 9 · Warm Retarget · Meta → /playbook-direct-offer-v2 → OTOs

Today's actual broken flow · Warm audience skips /squeeze, lands on $9.95 direct-sales page · live Meta + Cloudflare + Clarity + Stripe

Attribution · Meta 7-day click · last 7d

📊 Full funnel · circle size scales with volume · 🟢 at/above top quartile · 🟡 at median · 🔴 below median

Engaged = Meta Pixel view_content (page loaded + product viewed). CTA Click = Meta Pixel add_payment_info (clicked Stripe buy button → reached checkout). No email-capture stage on Path 9 by design — warm retarget skips /squeeze (those visitors are already on the list). Email capture lives on Path 1 (Cold → /squeeze).

🚨 Critical findings (Clarity + audit data)

📊 Stage performance vs industry benchmarks

🧠 Live AI analysis of your biggest bottleneck

Tap "Ask Claude" to run live analysis with Peep Laja / Wiebe / Hormozi lenses applied to your actual numbers. ~3s · uses Anthropic API.

🎬 Creative cohort · which warm ad performs best

4 active ads in Warm Retarget · sorted by spend

Creative	Imp	Clicks	CTR	Spend	CPC	Purchases	Status

🔬 Landing-page diagnostics (Microsoft Clarity)

/playbook-direct-offer-v2 — last 7 days

Metric	Yours	Industry median	Verdict

💡 The strategic read

You have 1 path converting at scale (Email Soap Opera → /playbook), 2 paths properly built but underused (Paid Cold → /squeeze, Paid Warm Retarget → /playbook-direct-offer-v2), and 14 paths partially built or idle. The biggest lever isn't building more paths — it's getting your existing Tier-1 paths to actually produce.

🎯 Expert perspective across all paths

Avinash Kaushik (See / Think / Do / Care)

Your Reels are doing "See" work (cold awareness). Your /squeeze is the "Think→Do" bridge. Your email is "Care" (retain + monetize). Stop trying to make every channel do every stage — let each channel own its lane.

DigitalMarketer / Henneberry (CVO)

The CVO model says every cold traffic source must terminate in the magnet (free lead capture), not the tripwire ($9.95). Your routing audit shows cold ads correctly go to /squeeze — that's CVO-compliant. But the warm retarget page is bouncing 97%, which means the tripwire (page itself) isn't doing its job converting warm prospects. Audit the page, not the routing.

Russell Brunson (Value Ladder)

You have ONE complete Value Ladder live (Path 11: Email Soap Opera → Playbook → Templates → Conversation System). It's working. Everything else is partial.

Alex Hormozi (Magic Numbers)

16 of 17 paths have CAC of ∞ today because they're producing zero attributed buyers. You don't have a path-quantity problem — you have a path-conversion problem on the 2-3 paths that matter.

Live · Meta

Spend

—

Live · Meta

Leads

—

Target ≥ 10/wk

Live · Meta

Blended CPA

—

Target < $15

Computed

Revenue (est)

—

Wire Wix

Campaigns live · tap any card

Sorted by spend. Tap any card to drill in: expert verdict + concrete steps + ad-set/ad detail (mock for now).

Loading live data…

🚦 Why Meta is throttling you (or not)

Quality / Engagement / Conversion ranking diagnostics across active ads.

🎬 Creative format mix

UGC / Kinetic / Voiced — which format is winning + which to ship next.

⚠ Audience frequency check

Frequency > 3 = same people seeing same ads. Time to refresh or rotate.

⏰ Day-parted spend efficiency

Hour-of-day analysis: when spend deploys vs when leads convert.

What's missing here

Honest list of what the Paid tab can't show yet — and what each one would unlock.

📷 Ad thumbnails + hook/hold rate per ad — needs `level=ad` worker call. Decisions about creative should be made looking at the creative.

🌡️ Cold vs warm vs hot split — needs audience tier metadata. Pittman's first cut.

💰 Real revenue + ROAS — needs Wix Store integration. Right now "Revenue (est)" is a guess.

🔁 Full Value Ladder funnel — needs Wix + Kit. Show leads → Playbook → Templates → Conversation System with drop-off at each rung.

Organic content performance

Cross-channel view of what's working organically — Reels, posts, Shorts, DMs.

🔥

14

Day posting streak

Longest this year. Don't break the chain — next milestone: 21 days.

🤝 Algorithm relationship status

Where you stand with each platform's recommendation engine right now.

Instagram

Thriving

Share-worthy ratio 4.2% = algo-friendly. Reach trending up. Saves outpacing reactions.

Cold

5 followers / 192 impressions in 2 weeks. Posts aren't escaping your direct connection graph.

YouTube

Warming up

One 1.8K-view outlier indicates the algo is testing your content. Ship more to convince it.

Facebook

Warming up

Cross-posts from IG getting modest reach. Native FB content would unlock more.

📱 Channel breakdown

Engagement % by platform this week. Where the audience leans in.

⏱️ Engagement per production minute

Are you producing the right ROI on your time?

💾 Saves vs likes (intent signal)

Saves = "I'll come back" — the algorithm-favored signal.

🏆 Top hooks of all time reusable patterns

Your highest-performing first-3-second openings ever. Steal from yourself.

🏆 Top 3 posts this week

By saves + shares (the "share-worthy" metric Brock indexes on).

🎯 Expert perspective

Welsh lens

Hub-and-spoke check: 8 of 11 posts this week were "Results & Observation" pillar — your highest-engagement pillar. Career & Promotions had 0 posts. Re-balance.

Brock Johnson lens

Your share-worthy ratio (saves+shares ÷ reach) is 4.2% — top-quartile on Instagram. ManyChat bottleneck: only 18 comments triggered 100% of DMs. Add explicit "comment WORK below" to every Reel.

Jaden Lamar lens

"POV: your team stopped trusting you" is a 10× outlier at 1,800 views vs 180 baseline. Re-cut as paid ad creative — Lamar's "Implementation Trigger" framework: hook proven, CTA needs to switch.

Jasmin Alić lens

LinkedIn prose: top post passes phone-screen test (2-3 word lines). Bottom 4 posts run 18-22 words/line — visual suffocation. Tighten.

Ava lens

Brand consistency: IG + YT carry same visual pattern. LinkedIn is plain text only. Add a JIT-branded micro-graphic per LinkedIn post.

Email + nurture sequence

List health, sequence performance, and where leads convert to buyers.

👥 Subscriber lifecycle

Where each subscriber sits in the journey.

⏱️ Read time distribution

Reading vs skimming — depth signal.

📝 Subject line leaderboard reusable patterns

Every subject sent, sorted by open rate. Mine your own winners.

📤 Unsubscribe forensics

Which email + day produced unsubs. Patterns to avoid.

📬 Soap Opera sequence (6 emails over 10 days)

Open / click / unsub per email. Highlight your top-performer.

🎯 Expert perspective

Amy Porterfield lens

List growth +12 net this week (18 in, 6 out). Day-30 conversion 4.2% — bang on 2-5% benchmark. Don't tweak. Audit on Day 7 instead.

Joanna Wiebe lens

CTR diagnostic: Day 4 ("I delivered Q3") wins at 1.2% CTR. Days 3, 5, 7 are at 0%. Copy Day 4's CTA voice ("Steal the exact 60-second template") into the others.

Blair Warren lens

Day 4 pulls "justify failures" lever (you delivered, you got passed over, here's why). That's why it converts. Days 3/5/7 pull "dreams" — too soft for cold cohorts.

Ramit Sethi lens

Engaged % is 62 of 100 subs. Of 27 form submitters, only 8 ever clicked. Tighten qualifying at /squeeze: add "I manage 1+ direct report" field.

Russell Brunson lens

Soap Opera pitch transition on Day 3 = where opens drop to 60%. Epiphany Bridge isn't landing. Add a hard transition in Day 2 ("Tomorrow I'm going to show you exactly how I did it").

Customers + cohorts

Who's buying, where they came from, how much they're worth.

🌐 Where customers come from

Acquisition source breakdown by paid + organic.

💰 Per-channel CAC + LTV:CAC

Hormozi's magic number: target 3:1+ LTV:CAC, payback under 30 days.

🧑 Your typical buyer (composite twin) claude-generated

Synthesized persona from your real buyer data. Updates as new buyers come in.

🌍 Geo conversion map

Where buyers come from. Heavier bar = more buyers.

💬 Qualitative signal feed mock — wire reviews

Real comments from buyers — surfaced from email replies, Wix reviews, IG DMs.

📊 Cohort retention heatmap

Each row = a week's new-customer cohort. Each column = revenue per customer N weeks later. Darker = stronger retention.

Reads as: the May 3 cohort (28 customers) generated $10.40 in week 0, climbed to $16.80 by week 2 via OTO attach. Last week's cohort is too fresh to judge.

🎯 Expert perspective

Ramit Sethi lens

Lead quality: 30% of submitters engage. 11% become OTO1 buyers. The 70% who never click are dead weight — qualify harder upstream.

Russell Brunson lens

Value Ladder: 27 leads → 3 Playbook → 1 Templates → 0 Conversation System. OTO2 → OTO3 jump is broken. Test a $19 mid-step or reposition $37.

Alex Hormozi lens

Per-channel LTV:CAC — Meta Paid 3.9:1 / Organic 8.2:1 / LinkedIn 0:1. Organic is your highest-leverage channel. Double down on formats already winning organically.

Amy Porterfield lens

Days-to-first-buy: median 4.5d. Faster than typical 7-14d window. Soap Opera Day 4 hits exactly when buyers are deciding.

Neil Patel lens (web/SEO)

95.4% bounce on /squeeze is killing your CAC math. Above-the-fold hierarchy: hero promise + proof + form. Currently the form is below the fold on mobile — biggest single fix.

This week's content schedule

What's queued across every channel, by pillar and funnel stage.

📅 This week's calendar

Day-by-day view of what's scheduled. Color tags = funnel stage (cold / warm / hot). Today highlighted. Tap any item for the full content brief.

📊 Daily content energy

📊 Posts queued by channel

Cross-platform view of upcoming output.

🎯 Pillar coverage

Welsh: balanced hub-and-spoke is the goal. Don't starve a pillar.

🎯 Expert perspective

Justin Welsh lens

Cadence: IG 4/wk ✓ / LI 3/wk ✓ / YT 1/wk ⚠. YT undercooked given the 1,800-view outlier. Triple YT cadence for 4 weeks.

Brock Johnson lens

IG mix: 3 Reels + 1 Carousel + 0 Stories this week. Add 2-3 Stories — the STD flow needs the Story leg to convert reach → DMs.

Jaden Lamar lens

3 video formats this week. Add a 4th — kinetic-only Reel (no avatar). Entity ID diversity matters.

Russell Brunson lens

Funnel coverage: 5 cold / 5 warm / 2 hot. Hot ($37 Conversation System) is under-promoted. Add 1 testimonial-driven hot post.

Benchmarks vs industry

Where you're winning, where you're median, where you're a leak.

🏆 JIT Health Index composite score

0 = catastrophic, 100 = best-in-class. Weighted average across all channels.

📊 Meta Paid · yours vs industry live

Live data plotted against DataBox B2C info-product benchmarks (n=2.3K accounts).

Metric	Yours	Median	Top quartile	Verdict

📈 Your fastest improvement

Self-benchmarks — what metric moved most over the last 30 days.

🗓️ Seasonality awareness

Context: your numbers vs typical for this time of year.

🌐 Web benchmarks (Neil Patel reference data)

B2C info-product landing page + email benchmarks. Mock until Wix Analytics wires.

🎯 Expert perspective

Neil Patel lens (web/SEO)

95.4% bounce rate puts you in the bottom-decile for landing-page UX. Above-the-fold hero must answer "what is this + who is it for + what do I do" in 5 seconds. Currently /squeeze loses people before the form.

Joanna Wiebe lens

Awareness-stage mismatch. Cold ads target unaware traffic, but /squeeze copy assumes problem-aware. Bridge the gap with a subhead like "If you've been managing 3+ years and still feel like you're guessing..."

Dara Denney lens

Your paid CTR (3.7%) is above median, but conversion drops sharply on landing. Ad-to-page match is the gap. Land them on the same hook they clicked.

Channel attribution

Decoded from Stripe Checkout Sessions client_reference_id (set by /jit-attribution.js deployed May 14, 2026). Paid Meta, email, organic IG/FB/LI/YT — split by source, campaign, and individual ad/email.

📊 Revenue + sessions by channel

Sessions = Checkout Sessions initiated (paid + abandoned). Paid = completed purchases. Revenue = $ from completed.

Channel	Sessions	Paid	Revenue	Conv %

🎯 Top campaigns by revenue

Grouped by utm_campaign. Cold ads (when running) show campaign name from Meta's {{campaign.name}} substitution. Soap Opera emails show soap_opera.

Campaign	Channel	Sessions	Paid	Revenue

🔍 Top content (ad / email / post)

Most granular layer — which specific creative drove the click. Source/medium/campaign/content combo. Use this to answer "did Warm_4_Wiebe_Verdict generate revenue this week".

Source	Medium	Campaign	Content	Sessions	Paid	Revenue

⚠️ Paid sessions with no attribution

Stripe charges that completed but arrived without client_reference_id. Either the visitor's path bypassed the Astro page (direct buy.stripe.com share), localStorage was cleared, or the source link was untagged. Use as a leak-detection signal — each one is a sale we can't trace.

Date	Email	Amount	Session ID

🎯 Expert perspective

Avinash Kaushik lens

Attribution coverage % is the single number that determines whether every other report on this dashboard is real or self-reported. Drive coverage to 90%+ before optimizing channel mix. Untagged paid sessions = blind spending.

Peep Laja lens (CXL)

Don't average across channels. A $9.95 Playbook sale from email costs you $0 in ad spend, so its margin is ~100%. The same $9.95 from paid Meta carries $X CPA — track gross margin per channel, not revenue.