A cloud infrastructure company providing DevOps automation tools to mid-market enterprises had a strong product but a weak pipeline. Their sales team was spending 60% of their time on outbound prospecting with diminishing returns. Marketing consisted of occasional blog posts and a small Google Ads budget managed in-house with no clear attribution.
The specific problems they brought to us:
The company had ambitious growth targets and needed to build a predictable, scalable lead generation engine that could deliver volume without sacrificing quality.
We designed a full-funnel lead generation system combining inbound content marketing with precision-targeted paid advertising, unified by a shared analytics and nurturing infrastructure.
Within 12 months, monthly qualified lead volume grew from under 20 to over 520. The cost per qualified lead dropped from EUR 340 to EUR 88. Inbound leads now represent 65% of the pipeline, freeing the sales team to focus on closing rather than prospecting. The content library generates 180+ organic leads per month on autopilot, with the top-performing guide alone driving 45 qualified leads monthly.
The right number depends on your sales capacity and conversion rates. If your team can handle 50 active opportunities and your lead-to-opportunity rate is 10%, you need 500 MQLs per month. In this engagement, we scaled from under 20 to over 520 qualified leads per month.
Content marketing and SEO deliver the lowest long-term cost per lead, though they require 6 to 9 months to reach scale. In this engagement, the content library generates 180+ organic leads per month on autopilot. LinkedIn ads delivered the highest quality leads with 2x average deal size. The optimal strategy combines both.
Alignment requires shared definitions of lead stages (MQL to SQL to opportunity), a unified tech stack where marketing automation feeds directly into CRM, and regular pipeline review meetings. We migrated both teams onto a single platform with lead scoring and progressive profiling.
Lead scoring assigns numerical values to leads based on behavior and profile. A lead who downloads a pricing guide scores higher than one who only reads a blog post. Implementing lead scoring improved this client's sales conversion rate from 4% to 18%.
Building a predictable engine takes 6 to 12 months. Months 1-3 focus on CRM setup, lead scoring, and initial content. Months 3-6 see initial traction. By months 6-12, the engine compounds as content ranks and the library expands. We reached 520+ qualified leads per month within 12 months.
Parliamone how inbound marketing and targeted advertising can fill your pipeline with qualified prospects.
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