Always-on Attribution
Intelligence for Ecommerce.
Revenue AI Agents that continuously monitor what is working, what is breaking and where revenue is leaking.
Attributed connects your ecommerce, analytics and marketing data, then deploys specialist agents to detect tracking gaps, revenue mismatches, conversion leaks and growth opportunities.
- LedgerRevenue mismatch · Shopify vs GA4High
- PulseMobile checkout drop-offHigh
- SignalMissing UTMs on paid socialMedium
Your platforms
do not agree.
Shopify records the order. GA4 reports part of the journey. Google Ads claims revenue. Meta claims revenue. Your ecommerce team is left trying to work out what can actually be trusted.
Revenue mismatch
Store, analytics and ad platforms rarely report the same commercial truth.
Tracking gaps
UTMs, click IDs, events and transaction data can break before revenue is properly attributed.
Conversion leaks
Customers reach products and checkout, but friction silently drains revenue before purchase.
Wasted spend
Paid media can optimise towards weak, duplicated or incomplete conversion signals.
Monitor. Detect. Prioritise.
Implement. Validate. Repeat.
Attributed does not stop at reporting. The platform continuously monitors your ecommerce stack, detects issues, prioritises impact, generates Implementation Packs and validates whether fixes improved performance.
- 01Monitor
- 02Detect
- 03Prioritise
- 04Implement
- 05Validate
Specialist agents
across your revenue stack.
Each agent monitors a specific part of ecommerce performance, from tracking and attribution to funnel health, paid media, product performance and retention.
UTMs, click IDs, source/medium classification, ecommerce events, consent visibility and broken journeys.
Shopify, GA4, Google Ads and Meta revenue, transaction IDs, refunds, discounts and currency mismatches.
Landing to product to cart to checkout to purchase. Mobile vs desktop drop-off and conversion friction.
Spend vs store revenue, ROAS confidence, conversion action quality and wasted spend signals.
High-traffic low-conversion pages, weak product pages, CTAs, trust signals and landing page friction.
Product and collection performance, inventory, bestsellers, out-of-stock risk and discount dependency.
Repeat purchase rate, cohorts, time to second purchase, LTV and post-purchase flows.
Turns every finding into a brief: owner, steps, QA checklist, success metric and post-fix validation.
From finding to implementation.
Every high-priority finding becomes an Implementation Pack. Each pack explains what needs attention, why it matters, who should fix it, how to implement the fix, how to QA it and how to validate the result.
GA4 purchase revenue under-reporting
Shopify revenue is 24% higher than GA4 purchase revenue.
Paid social UTMs missing
18% of paid social sessions are missing UTM parameters.
Mobile checkout drop-off
Mobile checkout drop-off is 18% higher than desktop.
Google Ads optimising to weak signal
Smart Bidding is optimising toward a low-confidence conversion action.
Bestseller out of stock with active paid traffic
Active Google Ads spend is driving traffic to an out-of-stock bestseller.
Know when revenue
visibility breaks.
Get notified when tracking, attribution, paid media, conversion or product performance starts to drift.
Shopify revenue is 24% higher than GA4 revenue over the last 7 days.
18% of paid social sessions are missing UTM parameters.
Mobile checkout drop-off is 18% higher than desktop.
A bestseller is out of stock while still receiving paid traffic.
Built to improve revenue
performance, not just reporting.
Drive Revenue
Identify opportunities across campaigns, products, journeys and retention.
Drive EBITDA
Reduce wasted spend and improve confidence in paid media optimisation.
Prevent Leakage
Detect silent revenue leakage before it compounds across the stack.
Team Productivity
Replace manual investigation with owner-specific Implementation Packs.
Software for the AI Age
Move from passive dashboards to always-on AI agents.