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SaaS & Startups

September 1, 2025

Building a Scalable Growth Engine for a Series B Tech Startup

Following their Series B raise, this company needed to accelerate growth and prove marketing efficiency to investors. We built a highly automated, AI-powered marketing engine that identified leads within the client's ICP and marketed to them via email, LinkedIn, ad platforms, and also phone calls.

High-growth B2B SaaS company (Series B)

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Project length

2 Months

(with continued optimization)

Technologies used

Apollo, Seamless, Clay, NeverBounce, Instantly, LaGrowthMachine, ChatGPT, Langfuse

Roles we played

AI Architect, Software Developer, Data & Analytics Engineer, Analyst, Marketing Content Manager

Result

Partnered with the client’s BDR team to blend automation with personal outreach, optimizing scripts and call strategies for better conversions.

01

Project overview

The client’s marketing team was lean and lacked the technical infrastructure to scale outbound and inbound lead generation efficiently. Their investors were pressing for predictable growth and operational leverage — without dramatically expanding headcount.

Our goal was to design a system that could run autonomously at scale: constantly sourcing, enriching, engaging, and qualifying leads, while learning and improving through AI feedback loops.

02

Our execution

We built a full-stack marketing automation engine from the ground up:

  • Designed a data pipeline that pulled and enriched leads from multiple B2B databases.
  • Implemented AI-driven content generation for outbound campaigns and ad creative.
  • Created multi-domain email systems and multi-step sequencing in Instantly to maximize deliverability.
  • Deployed performance dashboards to track engagement, conversions, and acquisition cost across every channel.
  • Supported the internal BDR team with tools, scripts, and optimized outreach workflows.

03

Key results

450%

increase in qualified leads

300%

increase in web traffic

Also delivered

  • Fully automated marketing stack integrating AI, enrichment, and outbound sequencing
  • A replicable framework that can be reused across future portfolio companies

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