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Delightree / Series A

Building a demand engine from zero

As the first marketing hire at a Series A B2B SaaS company, I built the marketing function from nothing into the primary growth channel, then built the AI systems that let a tiny team operate like a large one.

Role

Marketing Lead, first hire

Company

Delightree, Series A SaaS

Scope

Demand gen, paid, content, ops, AI

Demand engine analytics dashboard: revenue sourced, ROAS, pipeline, and funnel

Outcomes

~⅓of new revenue sourced 12xROAS on paid search 4-7xmore inbound qualified leads 5-7xmore self-serve demos 1.6xlanding-page conversion

The challenge

When I joined, marketing was a blank page. No funnel, no attribution, no pipeline contribution. The mandate was simple and hard: turn marketing into a real revenue channel, quickly, with almost no team and a tight budget.

What I did

  • Built the full demand-generation funnel in HubSpot: lead scoring, UTM architecture, buyer-intent tracking, and routing.
  • Ran paid search end to end, rebuilding landing pages and scaling spend after the Series A while holding cost per lead flat.
  • Scaled content with AI: dozens of SEO competitor-comparison pages, plus a library of customer case studies built from sales-call transcripts.
  • Designed an AI-native marketing stack: custom Next.js apps, a Cloudflare-hosted analytics dashboard, and content pipelines wired into HubSpot, Webflow, and sales calls.
  • Authored the company copywriting guide and led a full go-to-market repositioning across the website and every channel.

The result

Marketing went from zero to sourcing roughly a third of new closed-won revenue and a comparable share of open pipeline. Just as important, the AI-native stack means a two-person team ships the output of a much larger one, and the system keeps compounding without more headcount.

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