Every order,channel, and customersegment, resolvedinto economic truth.

Most teams see revenue. Few see what actually landed in the account after COGS, fulfillment, refunds, discounts, payment fees, and VAT.

An AI intelligence system that resolves every order into contribution margin; automatically, at scale, without manual spreadsheet work.

• +Revenue reconciliation across Shopify, WooCommerce, payment providers and bank deposits
• +COGS mapped by SKU, variant, and supplier
• +Fulfillment cost allocation by carrier, zone, and weight band
• +Refund and return tracking with revenue reversal logic
• +Discount and promotion cost attribution
• +Payment fee and tax extraction per transaction
• +Contribution margin at order, SKU, and customer level

A live profit-and-loss view built from the ground up. Not a dashboard pulling from one API and hoping the rest is right.

Marketing dashboards show ROAS. They do not show payback period, incremental margin, or what happens when you scale a channel up or down.

A channel attribution and economics engine that models blended CAC, payback, and incremental contribution margin per channel. Not last-click vanity metrics.

• +Blended CAC by channel, campaign, and cohort
• +Payback period modeling: time to recover acquisition cost
• +Incremental margin analysis. What each channel actually adds
• +Google Ads, Meta, TikTok, and organic attribution unified
• +Budget scenario modeling at 2x or 0.5x spend
• +Channel overlap and incrementality testing framework

A channel economics view that finance trusts and marketing acts on.

You know your top markets. You do not know which region is quietly destroying margin through shipping costs, returns, or local discounting.

A regional intelligence layer that compares unit economics across every geography and product line you operate in.

• +Revenue, margin, and CAC by country, region, and currency
• +Fulfillment cost variance across zones and carriers
• +Return rate and refund cost by region
• +Local promotion and discount impact tracking
• +Tax and duty cost allocation
• +Currency normalization and hedging insight
• +Regional benchmark comparisons and trend detection

A geographic profit map that shows where you are winning, and where you are subsidizing growth with hidden costs.

Your average LTV is a lie. It hides the customers who never come back, and the segments that drive all your profit.

A cohort intelligence system that tracks retention, repeat rate, and cross-sell by acquisition channel, product, and behavior. You know which customers to invest in; and which to stop chasing.

• +Cohort retention curves by month and quarter
• +Repeat purchase rate by first-product and first-channel
• +Cross-sell and upsell path analysis
• +LTV forecasting at the segment level, not blended average
• +Customer lifecycle stage classification
• +Churn risk scoring and early warning signals
• +Klaviyo sync for retention campaign targeting

A customer economics system that turns retention from a metric into a managed growth lever.

Marketplace revenue grows. So does dependency on a handful of sellers, rising take rates, and concentration risk that finance only notices after it hurts.

A marketplace intelligence module that treats third-party seller economics as first-class metrics. Not a footnote in a platform report.

• +Third-party seller mix and concentration tracking
• +Take rate evolution and fee impact analysis
• +Seller performance tiering: revenue, margin, return rate
• +Marketplace vs. direct-to-consumer margin comparison
• +Dependency risk scoring and alerts
• +Seller onboarding and churn tracking
• +Cross-platform aggregation: Amazon, eBay, others

A marketplace control center that protects margin and flags risk before it becomes a quarterly problem.

Dashboards exist. No one reads them. Meetings happen. Decisions are made on intuition because the data is too scattered to trust.

An executive reporting layer designed around how leadership actually makes decisions. Not how software vendors think dashboards should look.

• +Pre-built weekly executive summary across all five intelligence layers
• +Automated narrative: what changed, why it matters, what to do
• +Exception-based alerting; only flag what needs attention
• +Meeting-ready views with drill-down paths
• +Custom stakeholder views: CEO, CFO, CMO, Ops
• +Scheduled distribution via email or Slack
• +Historical trend context so every number is relative

A Monday morning briefing that arrives ready to drive discussion. Not a dashboard that requires 20 minutes of interpretation.