LinkedIn enhances revenue attribution with company-level measurement
New capabilities enable B2B marketers to track campaign influence from first touch to closed deals.

LinkedIn has launched significant enhancements to its Revenue Attribution Report (RAR), introducing company-level attribution and campaign-level revenue measurement directly within Campaign Manager. The update, detailed in a July 28, 2025 company document, represents the platform's response to growing demand for outcome-based measurement in B2B marketing.
The Revenue Attribution Report, first introduced in September 2024, enables marketers to demonstrate how LinkedIn advertising influences revenue generation through direct CRM integration. According to the documentation, "78% of B2B CMOs say proving ROI has become more important in the past two years, but only a fraction feel fully confident in their ability to do so."
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LinkedIn's new company-level attribution allows marketers to track how entire target companies engage with advertisements rather than focusing solely on individual leads or conversions. This enhancement specifically addresses account-based marketing strategies, where B2B marketers need to understand influence across entire buying groups within target organizations.
The platform now provides campaign-level revenue metrics directly in Campaign Manager, eliminating the need for manual data compilation through spreadsheets. Marketers can access near real-time insights including pipeline amount, revenue influenced, and return on ad spend (ROAS) alongside traditional campaign metrics.
Technical implementation requires several prerequisites for proper functionality. Organizations must establish a Business Manager account, sync their Customer Relationship Management system, and complete the Salesforce Prerequisites Checklist to ensure appropriate settings. The system supports Salesforce CRM sync with specific edition requirements: Enterprise, Performance, Unlimited, or Developer editions are supported, while Professional Edition requires API Access.
The attribution system operates on an "any touch" model, tracking leads who have engaged with LinkedIn marketing activities within specified lookback windows of 30, 60, 90, or 180 days. Engagement encompasses views, clicks, likes, or shares with LinkedIn advertising content before deal closure.
Revenue Attribution Report provides comprehensive metrics across three categories. Top line metrics include revenue won, return on ad spend, LinkedIn ad spend, and pipeline amount influenced by marketing activities. Funnel metrics track leads, open opportunities, and closed won opportunities attributed to LinkedIn campaigns. Conversion metrics measure lead conversion rates, opportunity win rates, average deal sizes, and average days to close for LinkedIn-influenced opportunities.
The system's technical architecture requires specific Salesforce Profile configurations with API Enabled permissions checked. Organizations must enable CRM sync for all features using credentials with "View" or Read-Only permission levels on required objects and fields. The platform processes data from Lead, Contact, Account, and Opportunity objects with specific field mappings for accurate attribution calculations.
Data appears in reports within 72 hours after successful CRM connection. The system stores personal data from connected CRMs securely with data isolation and secure data access protocols. Personal data processing adheres to LinkedIn's established data handling and privacy policies.
The reporting interface allows filtering by ad account, adjusting lookback windows, and customizing time ranges. Users can toggle between impression count thresholds to determine attribution credit before labeling opportunities as LinkedIn influenced. The system tracks CRM contacts tied to opportunities as leads, with influence determined by engagement within attribution windows.
These capabilities matter significantly for marketing teams seeking to justify advertising investments. PPC Land previously reported that the Revenue Attribution Report enables marketers to move beyond engagement metrics to showcase real business value of LinkedIn marketing efforts, providing comprehensive evidence of positive impact on business outcomes.
The timing coincides with LinkedIn's broader measurement enhancement initiatives. In December 2024, LinkedIn introduced four major updates including data-driven attribution modeling and consolidated measurement insights, representing significant technical evolution in platform capabilities.
Research from Forrester indicates revenue growth serves as the top metric used by marketers to gauge campaign impact and performance. The Revenue Attribution Report directly addresses this measurement priority by connecting LinkedIn advertising activities to actual revenue outcomes rather than proxy metrics.
LinkedIn's enhancement reflects broader industry trends toward outcomes-based measurement. Marketing teams increasingly need to demonstrate clear connections between advertising spend and business results. The platform's approach enables attribution across all funnel stages, from brand awareness campaigns to bottom-funnel conversion activities.
The documentation emphasizes the tool's particular value for account-based marketing strategies. Companies can now assess how LinkedIn campaigns influence entire target companies from first touch to closed-won deals, providing clearer visibility into marketing's role across complex B2B buying journeys.
Several technical specifications govern implementation. The system requires Integration User accounts rather than personal or generic admin accounts to prevent accidental sync disconnection. Password policies should be configured to never expire to maintain continuous data synchronization. Organizations need Salesforce username, password, security token, and environment URL for connection.
The Revenue Attribution Report operates within LinkedIn's Business Manager ecosystem, accessing data through established security protocols. CRM field mapping ensures accurate opportunity tracking through specific Salesforce objects including Lead ID, Contact information, Account details, and Opportunity stages.
Attribution calculations consider multiple factors including engagement timing, opportunity creation dates, and close dates. The system evaluates whether leads engaged with LinkedIn marketing within lookback windows before opportunities closed won, attributing revenue accordingly to LinkedIn influence.
These measurement capabilities enable several strategic applications. Marketing teams can optimize budget allocation by identifying campaigns driving highest ROI. Sales and marketing alignment improves through shared visibility into company-level engagement. Campaign optimization becomes more targeted through better understanding of which activities influence deal progression.
The platform's technical infrastructure supports various attribution models while maintaining focus on any touch attribution as the primary methodology. Future development may expand attribution model options based on marketer feedback and evolving measurement requirements.
LinkedIn's revenue attribution enhancements position the platform to compete more effectively in B2B marketing measurement. As marketing teams face increasing pressure to demonstrate tangible business impact, comprehensive attribution tools become essential for justifying advertising investments and optimizing campaign performance.
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Timeline
- September 2024 - LinkedIn introduces Revenue Attribution Report, enabling CRM integration to track marketing influence on closed-won opportunities
- November 2023 - LinkedIn introduces Publisher Reporting with IAB Category transparency for Audience Network campaigns
- November 2023 - LinkedIn announces Conversions API and Website Actions for enhanced conversion tracking and retargeting capabilities
- December 17, 2024 - LinkedIn unveils four major platform updates including data-driven attribution modeling and qualified leads optimization
- July 8, 2025 - LinkedIn launches Member Post Analytics API enabling creator performance data integration with third-party tools
- July 28, 2025 - LinkedIn announces company-level attribution and campaign-level revenue measurement enhancements to Revenue Attribution Report
Summary
Who: LinkedIn marketers using Business Manager and Campaign Manager, B2B marketing teams requiring CRM integration with Salesforce systems, and marketing professionals focused on revenue attribution measurement.
What: LinkedIn enhanced its Revenue Attribution Report with company-level attribution capabilities and campaign-level revenue measurement directly accessible in Campaign Manager, enabling marketers to track advertising influence from first touch to closed deals through comprehensive CRM integration.
When: The enhancements were detailed in company documentation dated July 28, 2025, building on the original Revenue Attribution Report introduced in September 2024.
Where: The features operate within LinkedIn's Business Manager and Campaign Manager platforms, requiring Salesforce CRM integration with specific technical prerequisites including API access and appropriate user permissions.
Why: The enhancement addresses growing pressure on B2B marketing teams to demonstrate clear return on investment, with 78% of B2B CMOs reporting increased importance of proving ROI while only a fraction feel confident in their measurement capabilities.
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Key Terms Explained
Revenue Attribution Report (RAR) The Revenue Attribution Report serves as LinkedIn's comprehensive measurement tool that connects Customer Relationship Management data with advertising activities to demonstrate marketing influence on business outcomes. This system enables marketers to move beyond traditional engagement metrics like clicks and impressions to track actual revenue generation, pipeline creation, and deal closure rates. The report provides quantifiable evidence of how LinkedIn campaigns contribute to business growth across the entire customer journey.
Company-level Attribution Company-level attribution represents a fundamental shift from individual lead tracking to organizational engagement measurement. This approach recognizes that B2B purchasing decisions involve multiple stakeholders within target companies, allowing marketers to assess how LinkedIn campaigns influence entire organizations rather than isolated contacts. The methodology proves particularly valuable for account-based marketing strategies where understanding collective company engagement determines campaign effectiveness.
Business Manager Business Manager functions as LinkedIn's centralized platform for advertising account management and reporting access. The system houses the Revenue Attribution Report and provides the technical infrastructure necessary for CRM integration and data synchronization. Marketers must establish Business Manager accounts to access advanced attribution capabilities, with the platform serving as the primary interface for revenue measurement and campaign optimization.
CRM Integration CRM integration forms the technical foundation enabling revenue attribution by connecting LinkedIn advertising data with customer relationship management systems. The integration process requires specific Salesforce configurations including API access, appropriate user permissions, and field mapping to ensure accurate data synchronization. This connection allows LinkedIn to match advertising engagement with actual business outcomes recorded in CRM systems.
Salesforce Prerequisites Salesforce prerequisites encompass the technical requirements necessary for successful CRM integration with LinkedIn's attribution system. These include specific edition support (Enterprise, Performance, Unlimited, or Developer), API Enabled profile permissions, Integration User account setup, and Read-Only access to required objects including Leads, Contacts, Accounts, and Opportunities. Proper prerequisite configuration ensures reliable data flow and accurate attribution calculations.
Attribution Window Attribution windows define the timeframes within which LinkedIn engagement receives credit for influencing business outcomes. The system supports lookback periods of 30, 60, 90, or 180 days before opportunity closure, allowing marketers to customize attribution based on typical sales cycle lengths. These windows determine whether marketing touchpoints qualify for revenue attribution credit in the final calculations.
Any Touch Attribution Any touch attribution represents LinkedIn's current methodology for crediting marketing influence across the customer journey. This model attributes revenue to LinkedIn campaigns when leads have engaged with advertising content through views, clicks, likes, or shares within specified lookback windows before deal closure. The approach recognizes all marketing touchpoints rather than focusing solely on first-touch or last-touch interactions.
Pipeline Amount Pipeline amount quantifies the dollar value of open opportunities influenced by LinkedIn marketing activities. This metric provides forward-looking insight into potential revenue generation from current marketing efforts, enabling marketers to forecast business impact and justify advertising investments. Pipeline measurement helps organizations understand marketing's role in filling sales funnels with qualified prospects.
Return on Ad Spend (ROAS) Return on ad spend calculates the revenue generated per dollar invested in LinkedIn advertising, providing direct measurement of campaign profitability. ROAS represents the fundamental metric for evaluating marketing effectiveness, calculated by dividing revenue won by LinkedIn ad spend. This calculation enables data-driven budget allocation decisions and campaign optimization strategies.
Campaign Manager Campaign Manager serves as LinkedIn's primary advertising interface where marketers create, manage, and optimize advertising campaigns. The platform now includes campaign-level revenue metrics directly within the interface, eliminating the need for external data compilation. This integration provides real-time visibility into how individual campaigns contribute to business outcomes alongside traditional performance metrics.