Factors.ai, an AI ABM and attribution platform, today released findings from its report, From Benchmarks to Blueprints: The LinkedIn Revenue Engine for B2B. Based on the analysis of over $150 million in ad spend, LinkedIn recorded a 1.6x return on ad spend compared with 1.18x for Google, and LinkedIn-sourced deals were 34% larger on average.

Accounts with both paid and organic LinkedIn activity recorded win rates 10.8 percentage points above the baseline.

The report also examines when buyer activity begins, how engagement develops across the buying group and how it relates to pipeline outcomes.

Most companies measure the buying cycle from the date an opportunity enters the CRM. Factors.ai research found that sustained engagement on LinkedIn begins 124 days before a deal is created.

Engaging more of the buying group was associated with higher win rates. Accounts with six or more contacts engaged before deal creation recorded a 17.1 percentage-point lift in pipeline win rate compared with accounts engaging one contact. Deals involving an end user, influencer and technical evaluator recorded a 22-point lift, the strongest role-based result in the analysis.

The potential cost of insufficient engagement was also visible in lost opportunities. Accounts going dark, buying groups failing to reach a decision and teams losing access to the right decision-maker represented 27.1% of documented lost deal value. Competition accounted for 19.3%, while product gaps accounted for 13.5%.

“Last year, we published our LinkedIn benchmark report to understand how B2B marketing was changing and what high-performing teams were doing differently,” said Praveen Das, Co-Founder and CMO at Factors.ai. “This year, we wanted to take that analysis a step further and look at what happens across the buyer journey itself: when engagement begins, how it expands across the buying group, and which patterns are associated with stronger pipeline outcomes. Our hope is that this gives marketers a more practical way to think about the engagement they need to build long before an opportunity appears in the CRM.”

The findings are based on proprietary, anonymized Factors.ai platform data analyzed across two datasets. The first covers more than 850 B2B companies representing over $150 million in LinkedIn ad spend. The second analyzes more than 50,000 closed deals worth over $5 billion from more than 100 B2B companies that have integrated their CRM with Factors.ai.

The complete report is available at https://www.factors.ai/lp/benchmarks-to-blueprints-linkedin-report.

About Factors.ai

Factors.ai is an AI ABM and attribution platform used by more than 1,000 GTM teams, including Sprinklr, Rocketlane, Descope and Everstage. It brings intent, business, technographic, website, CRM and campaign signals into one account view. Teams can identify high-intent accounts, run campaigns across channels and connect marketing activity to pipeline and revenue. Scout, its AI copilot, helps teams surface active accounts and automate advertising and sales workflows.

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