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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StoreTracker CoPilot AI

Your Shopify store,
answering every
question you have.

Type a question. Speak a question. In any language. CoPilot queries your live Shopify data — revenue, attribution, funnels, SEO, customers, products — and returns a full answer in seconds. No dashboards. No analysts. No waiting.

Text & voice input
Any language
Live Shopify data
NLU + slash commands
StoreTracker CoPilot · your-store.myshopify.com
Live
revenue google ads vs meta last 30 days
CoPilot
Comparing Google Ads vs Meta — last 30 days:
Google Ads
$41,280
CAC $88 · ROAS 4.8×
Efficient
Meta Paid
$29,140
CAC $244 · ROAS 2.1×
2.7× higher CAC
↳ Shift 15% of Meta budget to Google — could recover ~$6,200/mo in CAC efficiency at current scale.
/diagnose-store last 7 days
CoPilot
Running live store investigation…
✓ Landing → PDP Healthy
⚠ PDP → Cart ↓13pts (paid only)
✓ Cart → Checkout Stable
✗ Revenue at risk $26,900/wk
↳ Not an ad problem — isolated to paid traffic. Check for product page or theme changes made after Sunday.
Ask CoPilot anything about your store…

Any question about
your store.

Natural language, slash commands, multi-part queries, voice. CoPilot handles every format — and knows your store's live data.

Revenue & Attribution
revenue this week
revenue by source last 30 days
google ads vs meta revenue this month
orders new customers yesterday
AOV by channel last 14 days
ad spend today
ROAS google ads last week
CAC by source this quarter
refunds last 7 days
revenue monthly this year
Funnel & Store Diagnostics
/diagnose-store last 7 days
/cart-abandonment this month
/checkout-problems last 14 days
/landing-dropoffs last 30 days
funnel drop off this week
store friction last 7 days
abandoned checkout summary today
/traffic-quality last 30 days
/conversion-speed last 30 days
exit pages this week
SEO & AI Discovery
/keywords
SEO revenue organic this month
chatgpt.com revenue this week
perplexity traffic last 30 days
keywords improved top 10 this week
which SEO pages convert best?
Customers & Products
/repeat-funnel last 90 days
/customer-types last 30 days
LTV cohort last quarter
/coupons last 30 days
/bundles last 30 days
/profitable-products last 30 days
/reorders last 90 days
/ad-waste last 14 days
/source-customer-funnel last 30 days
/campaigns last 14 days

Three ways to get
the answer.

01
💬

Natural Language

Ask in plain English — or any language. CoPilot's NLU engine maps your question to the right data query automatically. You don't need to know command syntax.

"why did revenue drop this week?"
↓ CoPilot resolves to
revenue this week + /diagnose-store last 7 days
02

Slash Commands

Power users get instant precision with slash commands. Every report in StoreTracker is accessible as a direct command — no menus, no navigation.

/diagnose-store last 7 days
↓ Runs full store investigation
Funnel analysis · Revenue at risk · Root cause
03
🎙️

Voice Input

Speak your question in any language. CoPilot transcribes and resolves it exactly as it would a typed query. Hands-free, in meetings, on mobile — wherever you are.

🎙 "Show me Meta ROAS last two weeks"
↓ Transcribed & executed
ROAS meta last 14 days

Compare anything.
In one query.

CoPilot's multi-command engine detects comparison intent in your question and executes both sides simultaneously — then returns a side-by-side answer with a recommendation.

"google ads vs meta revenue this month"
Runs both revenue queries, compares CAC and ROAS, recommends budget shift
"how did paid perform this month vs last month?"
Pulls both periods, shows delta across revenue, orders, AOV and CAC
"new customers this quarter vs previous"
Two-period comparison with acquisition trend and cohort context
"organic SEO vs email revenue last 90 days"
Cross-channel comparison with LTV signal and repeat rate context
orders this month vs last month
This month
1,847
orders
AOV $212 · New 68%
vs
Last month
1,524
orders
AOV $198 · New 71%
↑ 21.2% orders ↑ $14 AOV → New cust % similar
Growth is order-driven, not volume inflation. AOV lift suggests upsell or bundle purchase shift — check product mix this month vs last.

One command. Full
store investigation.

/diagnose-store runs a live investigation across your conversion funnel, product discovery, cart behaviour, and checkout completion — and returns a root-cause verdict, not a dashboard.

01
Conversion funnel check
Sessions → PDP → Cart → Checkout → Purchase — with drop rates at each step, broken out by traffic source
02
Product drop-off analysis
Which products are viewed but not added to cart — and from which sources, with ATC% by product
03
Cart & checkout friction
Step-level checkout abandonment — payment, shipping, address — with revenue at risk per friction point
04
Traffic quality signal
Is poor conversion a traffic problem or a store problem? Separates channel intent quality from store experience
05
Root cause verdict
A clear, plain-English explanation of what's causing underperformance — and what to fix first
/diagnose-store last 7 days
Running investigation…
82,074
Sessions
58,417
PDP Views
5,967
Cart Users
1.34%
CVR
Conversion funnel
82k
Sessions
58k
PDP
5.9k
Cart
2.5k
Checkout
1.1k
Purchased
Landing → PDP healthy (71% view rate)
PDP → Cart: 89.8% drop-off — paid traffic only (↓13pts vs last week)
Cart → Checkout stable across all channels
Revenue at risk: $350,987
Verdict: Not an ad problem. Paid sessions are arriving but not converting at product level. Check for theme or product page changes after Sunday — or pricing increase on high-traffic SKUs.

Every report.
One interface.

📊
Revenue & Attribution
revenue Total, net, by source, by customer type
orders Order count, new vs returning, by channel
aov Average order value with channel split
cac Acquisition cost overall and by paid channel
roas Return on ad spend by channel and campaign
ad spend Spend across Google, Meta, Bing
revenue by source Full breakdown across 170+ traffic sources
refunds Refund volume, rate, and revenue impact
🔬
Funnel & Store Diagnostics
/diagnose-store Full live store investigation
/cart-abandonment Abandonment by step and channel
/checkout-problems Checkout friction points with revenue impact
/landing-dropoffs High-exit landing pages by source
/traffic-quality Intent quality score by channel
/conversion-speed Time-to-purchase by channel
/broken-links Crawl errors causing funnel leakage
store friction Combined friction score and top fixes
abandoned checkout summary Revenue at risk today / this week
📍
SEO & AI Discovery
/keywords Full keyword dashboard — rankings, movements, opportunities
seo revenue organic Direct keyword → revenue attribution
chatgpt.com revenue Revenue from ChatGPT-referred traffic
perplexity traffic Sessions from AI-search discovery
/channel-roles Attribution role of each source (intro vs close)
👥
Customers & Retention
/customer-types New vs returning split and behaviour diff
/repeat-funnel Repeat purchase rate and path by source
/reorders Popular reorder products and timing
/coupons Coupon impact, stacking, margin drain
ltv cohort Lifetime value by acquisition cohort
/source-customer-funnel Full channel-to-customer journey
📦
Products
/profitable-products Profit after discounts, refunds, CAC
/bundles Frequently bought-together products
/product-issues Low-converting products with fix suggestions
/source-product-mismatch Products over-invested vs revenue contribution
/ad-waste Ad spend on products with poor conversion
/campaigns Campaign performance by product and channel
⏱️
Time Syntax
today / yesterday Single-day precision
this week / last week Mon–Sun calendar week
this month / last month Calendar month
last 7 / 14 / 30 / 90 days Rolling window
this quarter / last quarter Quarterly period
this year / last year / ytd Annual and year-to-date
2025-01-01 to 2025-01-31 Exact date ranges
🎙️

Voice — any language

Tap the mic. Ask your question in English, Hindi, French, Spanish, German, or any language. CoPilot transcribes your speech and executes the query against your live store data. The answer comes back in the same language you asked in.

EnglishHindiFrenchSpanishGermanArabicPortugueseJapanese+more
🧠

NLU intent resolver

When you ask "why did revenue drop this week?" — CoPilot doesn't just search. It resolves your intent to the correct analytical query, runs it, and returns a structured answer. You never need to learn command syntax to get value.

"are new visitors actually buying?"
resolves to →
/customer-types last 7 days

Dashboards show you data.
CoPilot gives you answers.

Traditional dashboards
StoreTracker CoPilot
Ask a specific question
✗ Build a custom report
✓ Type or speak it
Compare two channels
✗ Manually segment & export
✓ "Google vs Meta this month"
Root cause of revenue drop
✗ 3 hours across 4 tools
✓ /diagnose-store · answer in seconds
Multi-period comparison
✗ Date range switching + math
✓ "this month vs last month"
Voice query on mobile
✗ Not supported
✓ Built in, any language
AI traffic (ChatGPT, Perplexity)
✗ Not tracked
✓ Tracked, queryable by source
Proactive daily answers
✗ You have to log in to look
✓ Daily email digest, auto-sent

Ask your first question
in 10 minutes.

Connect your Shopify store. Type a question. CoPilot answers with live data from your store — immediately.

Start 30-day free trial See pricing
No credit card
All features included
Live in <10 minutes
Text & voice · any language