For Merchants
📊
"Why did revenue drop this week?"
Revenue attribution
🔻
"Where is my funnel leaking?"
Funnel diagnostics
🔑
"Is SEO bringing buyers or just traffic?"
SEO → revenue
💡
"What should I fix first today?"
AI diagnostics
For Agencies
📈
"Which channel deserves more budget?"
Channel CAC & payback
"Can I explain what changed in 60 seconds?"
Store diagnostics
🏪
"How do I compare across all client stores?"
Multi-store dashboard
Pages
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Funnel & CRO

Find the leak.
Know the cost.
Fix it today.

StoreTracker tells you exactly where your Shopify store is losing revenue — which funnel step, from which channel, with the revenue at risk calculated in real time. No guesswork. No building reports.

Channel-level drop-off
Revenue at risk · live
Root cause verdict
AI-prioritised fixes
Funnel Analysis · your-store.myshopify.com
Last 7 days · Paid traffic
Sessions
82,074
Product views
58,417
71.2% ✓
Add to cart
5,967
10.2% ↓13pts
Checkout started
2,522
42.3%
Purchased
1,102
43.7%
PDP → Cart drop isolated to paid traffic
Revenue at risk: $350,987 · Not an ad problem — check product page changes after Sunday

Sessions are up.
Revenue is flat. Why?

The drop is somewhere between landing page, product, cart, and checkout. Without channel-level visibility, pinpointing which step is losing which customers takes time no one has — and costs revenue every day it goes unfound.

01

The drop is channel-specific

Store-wide metrics look fine. But paid traffic converts at 1.1% while organic converts at 3.4%. A blended CVR hides the problem entirely. You need per-channel funnel visibility.

StoreTracker breaks the funnel by traffic source
02

You can't quantify the cost

You know checkout abandonment is high. But is it $2,000 a week or $200,000? Without revenue at risk calculated in real time, it's hard to justify the urgency of the fix.

Live revenue at risk — down to the funnel step
03

Fixes are generic, not prioritised

Most CRO advice is one-size-fits-all. "Improve your product pages." Which ones? For which channel? For which customer type? Generic tips waste development cycles on the wrong problem.

AI-ranked fixes based on your store's actual data
04

You find out too late

A payment gateway error, a broken product page, a theme update that broke mobile checkout — without daily monitoring, these compound for days before anyone notices.

Daily alerts the moment a funnel step drops

One command.
Full investigation.

/diagnose-store runs a live investigation across your entire store — conversion funnel, product drop-offs, cart and checkout friction, traffic quality — and returns a root-cause verdict in plain English.

Run it with CoPilot
/diagnose-store last 7 days
/diagnose-store last 30 days
/traffic-quality last 30 days
/product-issues last 14 days
/diagnose-store last 7 days
Running
82,074
Sessions
58,417
PDP Views
5,967
Cart Users
1.34%
CVR
89.8%
PDP→Cart Drop
$350k
Rev at Risk
Landing → PDP 71.2% — healthy across all channels
PDP → Cart 89.8% drop-off — paid traffic only (↓13pts vs last week)
Cart → Checkout 42.3% — stable, no change
Checkout → Purchase 43.7% — stable
Revenue at risk: $350,987/week
Verdict: Not an ad problem — paid sessions are arriving but not converting at product level. Store-wide conversion is stable. Check for theme or product page changes made after Sunday, or pricing increase on high-traffic SKUs.
01
🔍
Conversion funnel check
Sessions → PDP → Cart → Checkout → Purchase — drop rates at every step, broken out by traffic source. Immediately shows whether the problem is store-wide or channel-specific.
02
📦
Product drop-off analysis
Which products are viewed but not added to cart — with ATC% by product and by source. Identifies whether the problem is a specific SKU or the entire category.
03
🛒
Cart & checkout friction
Step-level checkout abandonment — payment, shipping, address — with revenue at risk per friction point. Quantifies the exact value of fixing each checkout step.
04
📡
Traffic quality signal
Is underperformance a traffic problem or a store problem? Separates channel intent quality from store experience so you fix the right thing first.
05
🎯
Root cause verdict
A clear, plain-English explanation of the cause — and what to prioritise fixing first, based on revenue impact, not gut feel.

The same store.
Very different funnels.

A blended conversion rate hides the truth. StoreTracker breaks every funnel step by traffic source — so you can see that organic converts at 3.4% while paid converts at 1.1%, and act on the gap instead of the average.

📉
Drop-off by channel
PDP → Cart, Cart → Checkout, and Checkout → Purchase — all broken out by Google, Meta, organic, email, and every other source.
⚠️
Revenue at risk alerts
When a funnel step drops, StoreTracker calculates daily revenue impact immediately and flags it — before it shows up in a weekly report.
🔧
High drop-off actionable report
AI-generated table: Insight type (Friction / Weak Page), Confidence (High / Medium), Best Source, Recommended Action — sorted by revenue impact.
🚨
Exit page intelligence
Which pages have the highest exit rates, from which sources — so you know where customers are leaving and which page to fix first.
Funnel by Channel Last 7 days
Channel
CVR
PDP→Cart
Rev/wk
Google Organic
3.4%
28.1%
$18,240
Email / SMS
4.1%
31.4%
$6,621
Meta Paid
1.1%
10.2% ↓
$8,610
Google Ads
1.8%
14.7%
$14,820
Direct
5.2%
39.1%
$4,000
Finding: Paid traffic converts 3× lower than organic. PDP → Cart specifically — store-wide checkout is stable. Not ad quality — likely a product page trust or pricing issue for new visitors.
High Drop-off · Actionable AI-generated
Friction
High
Add trust signals to product pages for paid traffic
Weak Page
High
Review pricing on top 3 Meta-traffic SKUs
Friction
Medium
Mobile checkout payment step — 68% mobile drop

Know which checkout step
is losing the sale.

Step-by-step checkout funnel with session-level diagnostics. StoreTracker shows exactly where customers abandon — payment, shipping, address — and quantifies the revenue each fix would recover.

🛒
Step-level abandonment
Cart → Contact → Shipping → Payment → Complete — drop rate and revenue lost at each step.
💰
Revenue at risk · live
The revenue sitting in abandoned checkouts right now — updated continuously so you know the real-time cost of the problem.
📱
Mobile vs desktop breakdown
Checkout abandonment split by device — mobile payment abandonment is usually the largest single fix available to most Shopify stores.
Ask CoPilot
/cart-abandonment this month
/checkout-problems last 14 days
abandoned checkout summary today
Checkout Funnel Last 30 days
Cart
12,841
Contact info
11,300
−12%
Shipping
9,503
−16%
Payment
5,650
−41% ⚠
Purchased
4,887
CVR 38%
Payment step losing 41%. $127,400 in recoverable revenue/mo. Add Shop Pay, Apple Pay — mobile payment friction is the likely cause.
Revenue at risk · right now
$5,510
in 47 open abandoned checkouts

Every way your store
loses a sale — tracked.

Conversion speed

How long it takes customers from first visit to purchase — by channel. Fast-converting channels tell you where intent is highest. Slow channels tell you where trust is missing.

/conversion-speed last 30 days
Email / SMS
1.4 days
Google Organic
3.8 days
Meta Paid
7.1 days
Google Ads
5.0 days
🔗

Broken link detection

StoreTracker crawls your store for broken links — 404 pages, dead product links, broken collection pages — that silently kill conversion by sending customers to dead ends.

/broken-links
404
/products/old-sku-deleted
840 sessions/mo
404
/collections/summer-sale-2024
312 sessions/mo
301
/pages/about → /about-us
Redirect chain
🏠

Landing page drop-offs

Which landing pages have the highest exit rates — broken out by traffic source. The page a Meta ad sends traffic to is often not the page that converts Meta traffic best.

/landing-dropoffs last 30 days
/collections/new-arrivals
Meta Paid 82% exit $14,200 risk
/products/hero-product
Google Ads 61% exit $8,100 risk
/pages/home
Google Organic 28% exit Healthy
🧠

Journey intelligence

Full customer journey from first touch to purchase — which channel sequences produce the highest LTV buyers, and where multi-touch journeys break down before conversion.

/source-customer-funnel last 30 days
OrganicEmailPurchase
LTV $312
Purchase
LTV $148
Exit
68% drop

Every funnel question.
One interface.

Store diagnostics
/diagnose-store last 7 daysFull live store investigation with root cause verdict
/traffic-quality last 30 daysIntent quality score by channel — traffic or store problem?
/product-issues last 14 daysLow-converting products with AI fix suggestions
store friction last 7 daysCombined friction score and top-priority fixes
store healthOverall store health score with behaviour-based diagnosis
Funnel & checkout
/cart-abandonment this monthAbandonment by step, channel, and device
/checkout-problems last 14 daysCheckout friction points with revenue impact per step
/landing-dropoffs last 30 daysHigh-exit landing pages by source with revenue at risk
funnel drop off this weekWhich funnel step dropped most vs last week
exit pages this weekPages with highest session exits by traffic source
abandoned checkout summary todayRevenue sitting in open abandoned checkouts right now
/broken-linksCrawl errors and 404s causing silent funnel leakage
/conversion-speed last 30 daysDays from first visit to purchase — by channel

Find the leak.
Fix it today.

Connect your Shopify store and run /diagnose-store in under 10 minutes. Know exactly what's costing you revenue — and what to fix first.

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Live in <10 minutes
Root cause in seconds