Introducing Max: AI-powered revenue analytics. Read the announcement →
Revenue intelligence insights
Practical writing on revenue attribution, first-party analytics, customer journeys, and the systems that connect go-to-market activity to revenue.
By Elena Marsh
Learn how modern SaaS companies use first-party data, Revenue Graphs, and board-defensible attribution to accurately measure marketing performance, pipeline, and revenue.
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By Elena Marsh
For B2B manufacturers and distributors, an OMS shows what was ordered. Revenue Intelligence explains why—by connecting orders to CRM, ERP, marketing, and the full customer journey.
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By Elena Marsh
How first-party collection and identity stitching keep journeys measurable under Safari ITP, Chrome cookie restrictions, and ad blockers—then feed multi-touch attribution.
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By Elena Marsh
Why every tool invents its own conversion definition—and how Convertmax UCP standardizes converts across web, CRM, calls, commerce, and agentic commerce for multi-touch attribution.
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By Elena Marsh
Entities, edges, and attribution queries for Convertmax’s Revenue Graph—how connected journeys beat siloed tables for revenue intelligence and AI.
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By Elena Marsh
Salesforce Revenue Intelligence is built for sales teams living inside Salesforce. CRM-agnostic Revenue Intelligence connects every system that influences revenue—here's how the architectures differ.
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