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Which content actually generates pipeline?

Pageviews and time-on-page tell you what people read, not what makes them buy. Content ROI Playbooks connect engagement metrics to downstream pipeline and revenue, so you know which assets to double down on and which ones to retire.

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Content ROI Analysis
Executive Summary

186 content assets analyzed against 1,400 closed-won opportunities. 12% of assets drive 68% of content-influenced pipeline. Top 10 assets generate 4.2x more pipeline per production dollar than bottom quartile. 48 assets showed zero pipeline attribution over 12 months and are candidates for retirement.

Pipeline Influenced by Content Type
Technical Deep-Dives
$5.2M
Comparison Guides
$4.3M
Case Studies
$3.4M
Webinar Recordings
$2.1M
Awareness Blog Posts
$0.7M
Recommendations
1Shift 40% of content production from top-funnel blog posts to mid-funnel comparison guides and technical deep-dives. These asset types appear in 3x more deal paths.
2Retire or consolidate 48 zero-attribution assets. Redirect the SEO equity from high-traffic, low-pipeline posts to conversion-optimized pages.
3Commission 6 new assets modeled on top-10 performer traits: buying-stage specific, decision-maker targeted, and consumed within 30 days of demo request.

The Challenge

Content metrics measure activity, not business impact

  • Vanity metrics mask real performance

    Your most-viewed blog post might generate zero pipeline. Your least-read whitepaper might influence $2M in enterprise deals. Without tying content to revenue, you optimize for traffic instead of business outcomes.

  • Content teams cannot prove their value

    When leadership asks "what did content marketing produce this quarter," the answer is usually pageviews and downloads. These numbers do not connect to the pipeline and revenue numbers that leadership actually cares about.

  • Production decisions based on gut feel

    Without content-to-revenue data, editorial calendars are built on intuition and trend-chasing. Teams produce more of what feels right rather than more of what demonstrably moves buyers through the funnel.

How eyko Solves It

From content metrics to content revenue intelligence

A Content ROI Playbook connects to your CMS, marketing automation, web analytics, and CRM. It traces which content assets appear in the journey of deals that close, measures their influence on deal progression, and ranks your content library by actual revenue contribution.

Content ROI Analysis | What
Executive Summary

The Playbook analyzed 186 content assets against 1,400 closed-won opportunities over 12 months. Only 23 assets (12% of the library) appeared in more than 5% of winning deal paths. The top 10 assets by revenue influence generated 4.2x more pipeline per dollar of production cost than the bottom quartile. Current content production allocates 60% of resources to asset types in the bottom quartile.

Pipeline Influenced by Content Type
Technical Deep-Dives
$5.2M
Comparison Guides
$4.3M
Case Studies
$3.4M
Webinar Recordings
$2.1M
Awareness Blog Posts
$0.7M
MetricCurrentBenchmarkStatus
Primary indicatorFlaggedTargetAction needed
Secondary indicatorMonitoringWithin rangeOn track
Trend directionDecliningStableReview required
Recommendations
1The Playbook analyzed 186 content assets against 1,400 closed-won opportunities over 12 months.
2Full analysis available across all connected data sources.

FAQ

Frequently asked questions

Everything you need to know about Content ROI Analysis.

Content ROI Analysis is an AI-powered evaluation that connects your content library to actual revenue outcomes. It goes beyond pageviews and downloads to measure which specific assets appear in the journey of deals that close, how they influence deal progression, and what pipeline value each piece of content generates. The output is a ranked content portfolio with production recommendations based on revenue contribution.

The Content ROI Playbook connects to your CMS (WordPress, HubSpot CMS), marketing automation platform (Marketo, HubSpot), web analytics (Google Analytics), and CRM (Salesforce, HubSpot). It combines content engagement data, lead source tracking, deal stage progression, and revenue amounts to calculate the pipeline contribution of each content asset in your library.

The Playbook accounts for time-lagged attribution by tracking content consumption across the entire deal lifecycle, even when the sales cycle spans 6 to 12 months. It uses decay-weighted models so that content consumed closer to key deal milestones receives proportionally more credit. This prevents recent touchpoints from overshadowing the early-stage content that initiated the buying journey.

Yes. The Playbook segments content performance by the persona of the reader, matching engagement data against CRM contact roles and titles. This reveals that a technical whitepaper may strongly influence engineering stakeholders while a business case study drives CFO engagement. These persona-level insights inform both what to produce and how to distribute it.

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