Evidence.
Not opinions.

Ad platforms over-claim. Analytics under-reports. Finance has its own version. The CRM disagrees with everyone. Marketing meetings become negotiations about which number is real, and decisions default to whoever argues loudest. Attribution stops being a measurement problem and becomes a governance problem.

• Board decisions on media, hiring and category investment default to the loudest reporter
• Operator time is lost weekly reconciling numbers that should be reconciled once, in one place
• Consent, iOS and cross-device gaps stay hidden — until an audit surfaces them
• Wrong-source acquisition is scaled because the credit was misassigned upstream

CMOs, CFOs, ecommerce leaders and founders whose commercial model has outgrown any single platform's reporting. Typical stack includes GA4 + GTM, Google Ads, one or more social ad platforms, Shopify or HubSpot, plus a CRM and finance system that don't yet talk to each other cleanly.

Intelligence ingests events, spend, orders and CRM activity from your connected platforms into one graph — reconciled, discrepancy-flagged and continuously monitored. Findings ship as Implementation Packs with a scoped brief, QA checklist and success metric. Technology handles the volume. Senior operators make the decisions.

• Analytics and measurement design — event schema, conversion definitions, governance
• Attribution and revenue reconciliation — platforms vs orders vs finance
• Data connections — GA4, GTM, Google Ads, Shopify, HubSpot, Slack (and more per engagement)
• Marketing and CRM diagnostics — funnel integrity, lead flow, lifecycle health
• Evidence graphs and cross-platform findings
• Implementation Packs, internal tickets and validation

A senior measurement operator authors the reconciliation model. A senior analytics engineer owns the connections and event schema. A senior commercial operator reviews findings and approves Implementation Packs before they ship. Intelligence monitors, reconciles and surfaces evidence — commercial decisions stay with senior operators accountable to your business.

• Findings — reconciled discrepancies between platform-claimed and landed revenue, confidence-scored
• Recommendations — measurement, tracking, structural and reallocation changes with commercial impact estimates
• Alerts — tracking regressions, feed outages, consent drops, sudden reconciliation drift
• Implementation Packs — server-side event upgrades, revenue reconciliation, MQL scoring rebuilds

1. 1
   Connections

   Authorise the platforms you already use — no data warehouse project required.

2. 2
   Evidence

   Attributed Intelligence ingests events, spend, orders and CRM activity into one reconciled graph.

3. 3
   Findings

   Discrepancies, leaks and opportunities are surfaced as clearly-scoped findings with confidence scores.

4. 4
   Recommendations

   Findings become concrete recommendations, ranked by commercial impact and effort.

5. 5
   Implementation Packs

   Each recommendation ships with the brief, QA checklist and success metric your team needs to implement it.

Additional platforms are onboarded per engagement depending on your stack. We only claim what's supported today — the connection catalogue is expanding continuously, tracked at /intelligence/connections.

• Every Implementation Pack ships with a documented success metric and re-measurement plan
• Baselines are pre-agreed; findings only close when the number moves against baseline
• Confidence bands and known limitations are documented on every reconciled view
• Losses and inconclusive results are shared openly — the roadmap learns from evidence, not opinion

• One reconciled revenue view across your connected platforms
• A ranked, evidence-scored finding backlog reviewed with your team weekly
• Implementation Packs your operators (or ours) can pick up and ship
• Validation reports that close findings when the number moves
• Board-ready commercial narratives with underlying evidence attached

Timings and confidence depend on the complexity of your stack, data quality, consent posture and platform limitations — agreed with your team at the start of an engagement.