RP
RevenueProven

Documentation

Setup guides, API references, and product documentation.

Attribution Limitations and Dark-Funnel Caveats

No attribution system captures every marketing influence. This guide is honest about what Revenue Proven cannot see so your reports stay defensible with leadership.

Attribution Models Explained

Revenue Proven offers four attribution models at the company level. Learn how each one qualifies a company as influenced, which is the default, and how to choose the right model for your B2B sales motion.

Audience Insights: Company Engagement by Ad Segment

Audience Insights shows cached company-level engagement for your selected LinkedIn ad-targeting segments. It is not live demographic composition. Learn how to read the data, what the sync-to-LinkedIn action does, and what to expect around data freshness.

Company Insights and Engagement Metrics

Understand the engagement metrics available in the Company Insights table, how they are pulled from LinkedIn Ads data, and how to use them to prioritise accounts for sales outreach.

Cookieless Tracking Explained

How RevenueProven attributes LinkedIn engagement without cookies, pixels, or client-side tracking.

Customizing Lookback Windows

Configure how far back RevenueProven looks when attributing LinkedIn engagement to CRM outcomes.

How Account Matching Works

Understand how RevenueProven matches LinkedIn-engaged companies to your CRM records without cookies.

How Pipeline Influence Is Calculated

Influenced pipeline is the dollar value of open deals attributed to LinkedIn ad engagement. This guide walks through the calculation step by step and explains what the number does not capture.

How Revenue Proven Matches Companies to CRM Accounts

A plain-language explanation of how Revenue Proven links LinkedIn-engaged companies to your HubSpot or Salesforce accounts using domain-first matching and name-based fallback, and what to do when matches fail.

Lookback Windows and B2B Sales Cycles

Lookback windows control which LinkedIn ad interactions count toward attribution. Learn which windows are available on each plan, how they differ from data retention, and how to choose the right window for your deal cycle.

Mapping CRM Deal Stages to Influenced Revenue

Influenced revenue depends on identifying which CRM stage means "closed-won." This guide explains how stage mapping works for HubSpot and Salesforce and how to set custom stage names.

Multi-Currency Deal Handling

When CRM deals span multiple currencies, Revenue Proven preserves each deal in its original CRM currency. Here is how deal amounts and spend-based totals are handled across your reports.

Multi-Touch vs First-Touch Attribution

Revenue Proven is multi-touch by design at the company level, aggregating every LinkedIn touch for an account before applying an influence threshold. Here is what that means, how it differs from single-touch approaches used by other tools, and how to tune what counts as influenced.

Pipeline Stage Mapping

Map your CRM pipeline stages to RevenueProven's attribution framework.

The Customer Journey Account Timeline

The Customer Journey view shows every LinkedIn ad touchpoint and CRM milestone for a single account in chronological order, giving you full visibility into how deals develop and a ready-made proof artifact for sales and leadership.

Troubleshooting: Why Isn’t My Deal Showing Up?

Common reasons a CRM deal might not appear in your RevenueProven attribution data.

Understanding Awareness vs. Intent

Learn how RevenueProven distinguishes top-of-funnel awareness from bottom-of-funnel intent signals.

Understanding the 360° Customer Journey Timeline

Learn how to read and use the customer journey timeline to prove LinkedIn's influence on each deal.