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
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Why we built this

Built for decisions.
Not dashboards.

Merchants and agencies had more data than ever — and less clarity than ever. Dashboards multiplied. Attribution splintered. The answer to a simple question required three tools, an export, and forty minutes. We built StoreTracker to fix that.

StoreTracker CoPilot
Live
Why did revenue drop this week?
CoPilot
Paid PDP→Cart conversion dropped 13pts — isolated to paid traffic only. Store-wide conversion is stable. Revenue at risk: $26,900/week. Likely a product page or theme change after Sunday — check dev changelog.
Which campaigns brought profitable customers?
CoPilot
Google Ads Brand campaign: LTV $312, payback 2.2mo. Meta Retargeting: LTV $148, payback 7.8mo. Google Ads is 2.3× more profitable per customer acquired.
Ask your store anything…
🎙

Modern commerce teams have
more data than ever. Less clarity.

We talked to dozens of merchants and agency operators. Same story, every time. They had Shopify. They had GA4. They had Meta Ads Manager, Google Ads, a CDP, an email platform, and a Looker Studio dashboard someone built 18 months ago. And yet — when a client asked "why did revenue drop this week?" — nobody could answer with confidence in under an hour.

The tools weren't failing. The model was. Analytics built around charts and dashboards was never designed to answer a specific question — it was designed to let you go looking for one. In 2024, that's a broken model.

"We believed analytics should answer questions — not create more work."
Revenue drops. You have six dashboards. None of them tell you why.
Attribution shows ROAS. Doesn't show whether those customers ever came back.
SEO rankings improve. Revenue doesn't. Nobody connects the two.
You scale the product with the most orders. It's your lowest-margin product.
Coupon codes look like loyalty. They're actually margin erosion from existing buyers.
The client asks a question on a Monday. The answer arrives Wednesday.
ChatGPT is sending your store traffic. You have no idea how much or from what.
Three tools. Two exports. One Slack thread. Still not sure what caused it.

Commerce intelligence
should be conversational.

We built StoreTracker around a single conviction: the right interface for business intelligence is not a chart — it's a question. You should be able to ask your store anything, in plain language, and get a specific answer with the data, the context, and the recommended action — in seconds.

That means revenue, attribution, funnels, SEO, customers, and product performance — all connected, all queryable, all explainable. Not in separate tabs. In one conversation.

What StoreTracker answers
📊
"Why did ROAS drop this week?"
👥
"Which campaigns brought profitable customers?"
📦
"What products drive repeat purchases?"
💸
"Which traffic wasted the most spend?"
🔑
"Which keywords are actually driving revenue?"
🔻
"Where is my funnel leaking — and how much is it costing?"
🤖
"How much revenue is ChatGPT sending to my store?"
🎟️
"Are my coupons building loyalty or just eroding margin?"

Not a generic
AI chatbot for Shopify.

Generic AI chat tools respond with general answers. StoreTracker responds with your data — because it knows your store's history, attribution, funnel, and customer behaviour. The answer it gives is specific to you.

🧠
Attribution intelligence
First-click and last-click attribution across 170+ sources — including ChatGPT, Perplexity, and Gemini. 99.8% coverage.
🔬
Customer journey analysis
Full path from first touch to purchase, LTV by cohort, repeat rate by channel. Not aggregate — individual channel behaviour.
🔑
SEO visibility
Keywords tied to revenue, not traffic. AI Overview detection. AI search traffic (ChatGPT, Perplexity, Gemini) tracked and attributed.
💰
Profitability intelligence
Profit score per product after discounts, refunds, and channel CAC. Know what's actually making money — not just what's selling.
Operational diagnostics
/diagnose-store runs a live investigation of your entire conversion funnel — with a root cause verdict and revenue at risk in seconds.
Generic AI chat
StoreTracker
Knows your store's data
Attribution across 170+ sources
Live funnel diagnostics
Keyword → revenue attribution
AI search traffic tracked
Product profitability score
Daily automated digest
Voice input · any language
Partial
✓ + store data

Five things we believe
that most tools don't.

01
💬

Conversational intelligence

The right interface for business intelligence is a question, not a chart. Talk to your store instead of digging through dashboards. The answer should come to you.

02
🔍

Explainable attribution

Attribution shouldn't be a black box you trust blindly. StoreTracker's model is transparent, first-party, and defensible — you can explain every number to a client or an investor.

03
🎯

Built around outcomes

Metrics exist to drive decisions. Every StoreTracker response includes an interpretation and a recommended action — because data without direction is just noise.

04
🔗

Everything connected

Revenue, SEO, funnels, customers, products, attribution — one platform, one query interface. Not six tools with six logins and a spreadsheet stitching them together.

05

Proactive, not reactive

You shouldn't have to log in to find out something is wrong. StoreTracker sends you the answer before you ask — every morning, before your first meeting.

We don't believe the future
of analytics is more dashboards.

The chart was the right interface for the 1990s, when data was scarce and building a query required a SQL analyst. Today, data is abundant and language models understand natural language better than most BI tools understand SQL. The interface changes.

We believe the future of analytics is:
Conversational
Ask a question in plain language. Get a specific answer with context and action. No query builder, no report builder, no analyst required.
Explainable
Every attribution claim, every insight, every recommendation — with the data it's based on. Transparent by default. Defensible to any stakeholder.
Proactive
The system finds the anomaly and surfaces it before you go looking. Not a dashboard you check when you remember — intelligence that arrives when it matters.
Connected
Revenue, attribution, SEO, funnels, customers, products — one model, one query, one answer. Not a collection of disconnected views.
Outcome-driven
The end product of every interaction is a decision, not a chart. Analytics that exists to tell you what to do next — not what happened last quarter.
The interface changes from chartsconversations.

Three types of people.
One platform.

🏪

Shopify brands

Founders, operators, and marketing leads who need to understand what's driving revenue and what's hurting it — without an analyst or a complex tool stack.

Revenue clarity from day one
Funnel visibility by channel
Keyword → revenue attribution
Product profit intelligence
For merchants →
📡

Performance marketing teams

Paid media and growth teams who need to move faster without manually stitching reports across Shopify, Meta, Google, and GA4 every time a question comes up.

CAC & ROAS by channel
Ad waste detection
Source-product mismatch
Campaign change log
See CoPilot →

Ready to know what's
actually driving revenue?

Connect your Shopify store in under 10 minutes. Ask your first question. Get an answer — with your data, your attribution, your store.

Start 30-day free trial See CoPilot
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All features included
Live in <10 minutes
Built for Shopify brands & agencies