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Marketing

Know WHY revenue changed, not only that it did

Daily cross-referencing of Shopify and Stripe data surfaces revenue anomalies, traces root causes, and delivers investigation reports with recommended actions before your team starts their day.

Integrates with:

What changes

Before
With ZeroTwo
Time to diagnose
2-3 hours of cross-referencing Shopify and Stripe
Root cause report delivered by 7 AM with specific actions
Root cause accuracy
Guesswork until someone checks every possible cause
Data-backed diagnosis correlating inventory, payments, and conversion data
Stockout prevention
Noticed after sales already dropped
Flagged when inventory hits critical levels, before revenue impact compounds
Payment issue detection
Discovered days later in Stripe reports
Failed payment patterns identified within 24 hours

Time to diagnose

Before

2-3 hours of cross-referencing Shopify and Stripe

With ZeroTwo

Root cause report delivered by 7 AM with specific actions

Root cause accuracy

Before

Guesswork until someone checks every possible cause

With ZeroTwo

Data-backed diagnosis correlating inventory, payments, and conversion data

Stockout prevention

Before

Noticed after sales already dropped

With ZeroTwo

Flagged when inventory hits critical levels, before revenue impact compounds

Payment issue detection

Before

Discovered days later in Stripe reports

With ZeroTwo

Failed payment patterns identified within 24 hours

The dashboard is red but nobody knows why

Revenue dropped 18% yesterday on your Shopify dashboard. Is it a payment processing issue? A stockout on your best-selling SKU? A pricing page that broke after the last deploy? A refund cluster from a bad batch? You don't know, and finding out means opening Shopify admin, cross-referencing order data with Stripe's payment logs, checking inventory levels, and reviewing product page analytics, all in separate tabs with different time formats.

The investigation takes 2-3 hours across two platforms, and the answer is usually something painfully obvious in hindsight: a popular variant went out of stock, or Stripe's fraud filter started declining legitimate cards after a rule change. By the time you figure it out, you've lost a full day of sales and your team has been running on anxiety instead of answers.

How ZeroTwo investigates e-commerce anomalies

1

Pulls order volume, revenue by product, and inventory levels for the past 24 hours

Shopify

Sales, stock counts, and conversion rates collected across all active listings

2

Pulls charges, failures, and disputes for the same period

Stripe

14 failed payments, 3 disputed charges, and a 40% spike in declines on one payment method

3

Flags anomalies by comparing against historical baselines

Google

Three anomalies flagged: a 23% revenue dip in one product category, a refund cluster on a specific SKU, and a conversion rate drop on mobile checkout

4

Investigates each anomaly and traces the root cause

Google

Revenue dip traced to a stockout on the #2 best-seller at 2 PM yesterday. Refund cluster linked to a sizing issue. Mobile drop correlated with a Stripe 3D Secure rule change.

5

Delivers the investigation report with recommended fixes to your team

Slack

Root causes, severity ratings, and specific actions posted: restock SKU-4421, add sizing guidance to the product page, review Stripe 3DS settings

Runs every day at 7:00 AM · Report delivered to Slack, only when anomalies are detected

Get started in under 10 minutes

1

Connect your tools

One-click OAuth for each integration. No API keys, no engineering.

2

Describe what you need

“Monitor our Shopify store daily for revenue, conversion rate, and refund volume. If revenue drops below $5K, refunds spike above 3%, or conversion dips under 1.5%, investigate and send a root-cause summary to #ecommerce.”

3

It runs on schedule

Monitors daily and delivers an investigation report to your channel only when anomalies are detected.

Frequently asked questions

ZeroTwo establishes baselines from your historical data and flags statistically significant deviations: revenue drops beyond normal variance, refund rates above your average, payment failure spikes, sudden conversion rate changes, and inventory stockouts on high-volume products. You can adjust sensitivity thresholds during setup.

Yes. ZeroTwo can connect to multiple Shopify stores and cross-reference them. Each store gets its own anomaly baselines, and the report clearly separates findings by store so you know exactly where the issue is.

ZeroTwo flags unusual payment patterns (chargeback spikes, geographic mismatches, velocity anomalies) that may indicate fraud. It is a pattern-recognition layer on top of Stripe's built-in fraud detection, not a replacement. Use both together.

Every anomaly comes with a recommended action. A stockout gets a restock recommendation with the affected SKU. A payment failure pattern gets a suggestion to review Stripe settings. A refund cluster gets a link to the product page and a note to investigate quality or listing issues.

ZeroTwo currently integrates most deeply with Shopify and Stripe. WooCommerce support is on the roadmap. In the meantime, if your WooCommerce store uses Stripe for payments, ZeroTwo can still analyze the payment side of the equation.

Stop doing the work your tools should do for you.

Set it up once. ZeroTwo runs it every time.