Revenue Operations Strategy
Operating model, funnel definitions, forecasting cadence.
CRM & Sales Technology
Selection, implementation, routing, dialers.
Marketing Technology
Lifecycle automation, campaign and ad integration.
Data Analytics
Warehouse, pipelines, executive reporting.
Systems Integration
LOS, CRM, telephony, marketing and finance connected.
Software Development
BI platforms, routing engines and middleware built to fit.
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September 1, 2025
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)
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
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
We built a full-stack marketing automation engine from the ground up:
03
450%
increase in qualified leads
300%
increase in web traffic
Also delivered
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