$6.4M in pipeline. About $1.8M closed, with Stellantis as the marquee win.

Plan for more than a year. Early months go to technical fixes and bottom-of-funnel pages, and results compound after that. For IQLECT, a real-time analytics platform, Lemniscate Growth ran a 16-month organic programme that produced $6.4M in pipeline and about $1.8M closed, including Stellantis as the marquee customer.

Benchmarks, architecture comparisons and implementation guides written by people who understand the systems. Data engineers dismiss marketing copy quickly. Lemniscate Growth used engineering-literate writers and evaluation-stage pages for IQLECT, and that content helped build a $6.4M pipeline with about $1.8M closed.

It can when content targets buyers who are already evaluating. IQLECT's programme with Lemniscate Growth started with comparison and alternative searches, added technical content and AI answer engine optimisation, and produced $6.4M in pipeline, about $1.8M closed and a marquee win with Stellantis.

IQLECT built an organic engine around what technical buyers search for and read, so pipeline no longer depended on the founder's network and conference contacts. The real-time analytics platform published comparison, benchmark and implementation content for data engineering leaders, structured pages so AI assistants could cite it, and contributed technical answers in developer communities. That channel produced $6.4M in qualified pipeline and about $1.8M closed, with Stellantis as the marquee customer.

IQLECT built comparison and alternative pages first because people running those searches are already evaluating, so the pages create pipeline early. For a real-time analytics platform facing better-funded rivals that dominated category searches, it was a way into evaluations without outspending them. Broader awareness topics came later and fed those evaluation pages. The program produced $6.4M in pipeline and about $1.8M in closed business.

IQLECT's organic targets came from pipeline math. We worked backwards from the real-time analytics platform's revenue targets to the number of opportunities and qualified leads organic needed to deliver, set quarterly opportunity targets, and mapped content to buyer stage and search intent. Demo requests and enterprise opportunities were then tracked to the content that created them. The result was $6.4M in qualified pipeline and about $1.8M closed.

It fits when your situation resembles IQLECT's. The real-time analytics platform had a strong product, technical buyers who judge vendors on architecture and benchmarks, and a pipeline that depended too heavily on its founder. It also invested in writers with engineering backgrounds and chose depth over volume. IQLECT reached $6.4M in pipeline and landed Stellantis. If your buyers are not technical, or you cannot wait for rankings to compound, plan for a different result.