Geo.
This B2B SaaS startup had a lean sales team of 8 account executives. Every rep handled their own prospecting, outreach, and pipeline management. There was no dedicated SDR team. No outbound automation. No pipeline visibility beyond what reps self-reported.
Reps spent 60% of their time on manual prospecting. They built lists by hand, researched accounts one at a time, and wrote individual emails. Reply rates hovered around 4%. Pipeline was unpredictable. Leadership had no way to forecast revenue with confidence.
The team needed to scale outbound without hiring. They needed pipeline visibility without building a RevOps function. They needed to do more with less, immediately.
The team deployed Geodo's outbound intelligence and pipeline mastery in a single integration. Setup took less than a day. CRM, email, and calendar data flowed into Geodo immediately.
Outbound intelligence took over prospecting. The AI built a living ICP model from the team's best-performing accounts. It identified high-intent prospects across the market and launched personalized sequences automatically. Each message was tailored to the prospect's specific role, company stage, and recent activity.
Pipeline mastery gave leadership real-time visibility. Every deal received a health score. At-risk opportunities surfaced immediately. Reps received AI coaching on their next best action for each deal. Pipeline reviews became strategic, not administrative.
"Geodo replaced three tools and two SDRs. Our pipeline has never been healthier."
— Head of Revenue, B2B SaaS Startup
How did a small SaaS team build $2.4M in pipeline?
They deployed Geodo's outbound intelligence and pipeline mastery. AI replaced manual prospecting and gave leadership real-time deal visibility. Results appeared within 4 weeks.
What tools did Geodo replace?
Geodo replaced a prospecting platform, an email sequencing tool, and a pipeline analytics dashboard. It also eliminated the need for two SDR hires.
How quickly did the startup see results?
First qualified conversations appeared within two weeks. By the end of Q1, total pipeline reached $2.4M with consistent 89% reply rates.
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