Turning content into a predictable lead engine
A mid-market SaaS had plenty of traffic and almost nothing to show for it. We rebuilt the funnel around intent — and turned content from a cost center into the company's most efficient pipeline source.
Overview
The product was strong and the site got real traffic — but visitors weren't converting, and sales complained that the few leads they did get were unqualified. Marketing was measured on volume, not pipeline, so nobody could say which content actually mattered.
I took ownership of demand generation: aligning content to buyer intent, rebuilding paid social and search around high-intent segments, and tying every asset to a pipeline number leadership could trust.
Objectives
- Lift landing-page conversion rate from traffic that was already arriving.
- Reduce blended CPC and cost per lead across paid channels.
- Improve lead quality so sales accepted a higher share of MQLs.
- Make content measurable against pipeline, not vanity metrics.
Audience
The buyer was a RevOps / marketing-ops leader at a 50–500 person company — skeptical of fluff, time-poor, and researching solutions through peers and search rather than ads.
That shaped everything: practical, proof-led content over hype, and paid targeting built around job titles, intent signals, and lookalikes of closed-won accounts.
Strategy
We built a full-funnel content map: educational top-of-funnel to earn trust, comparison and ROI content mid-funnel to drive intent, and conversion-led pages and retargeting to close. Paid spend was concentrated only on high-intent segments instead of broad awareness.
Every campaign shipped with a hypothesis and a dashboard, reviewed weekly — so budget shifted toward what converted and away from what didn't.
Content Approach
- Pillar guides and templates targeting high-intent search queries.
- Comparison and "vs" pages to capture buyers in active evaluation.
- Conversion-optimized landing pages with single, clear CTAs.
- Nurture email sequences mapped to funnel stage and content consumed.
Execution Timeline
Funnel mapping
Audited content, mapped to intent stages, rebuilt tracking and attribution model.
Conversion rebuild
New landing pages, comparison content, and high-intent paid campaigns launched.
Optimization
Weekly testing of creative and offers; budget reallocated toward efficient segments.
Scale & handoff
Documented the playbook, scaled winning channels, aligned scoring with sales.
KPIs Tracked
Performance Dashboard
Summary: landing-page conversion rose from 2.1% to 3.2%; CPC dropped on every paid channel after intent-based restructuring; and qualified traffic compounded month over month.
Conversion Rate Over Time
Cost Per Click by Channel
Qualified Traffic Growth
Key Results
- +52% conversion rate on the same traffic the site was already getting.
- −38% CPC and −29% cost per lead from intent-based targeting.
- Higher MQL acceptance from sales thanks to better-qualified leads.
- A documented, repeatable demand-gen playbook the team still runs.
Lessons Learned
Most "conversion problems" in B2B are actually intent-matching problems. The traffic was fine; we were just sending broad-intent visitors to pages built for someone further along. Aligning the message to where the buyer actually was did more than any design tweak.
And measuring content against pipeline — not clicks — changed every budget conversation. Once leadership could see which assets sourced revenue, the case for investment made itself.