Use cases
GTM infrastructurefor every team
Whether you're a solo founder or running GTM for 50 clients, Zetapad replaces fragmented tools with programmable infrastructure. Here's how different teams use it.
01 / For gtm engineers
Replace a fragmented stack of 8 tools with programmable infrastructure.
Before Zetapad
You maintain a Rube Goldberg machine: CRM for records, Apollo for outbound, Clearbit for enrichment, Zapier for automation, Google Sheets for tracking, Metabase for analytics, Slack for alerts, and a custom script that breaks every Tuesday.
With Zetapad
One platform. Signals detected → companies enriched → campaigns deployed → attribution traced. All automated. You write goals in natural language instead of gluing APIs together. Your custom logic runs via webhooks and the API — no Zapier required.
02 / For founders
Go from 'we shipped' to 'we have users' without hiring a GTM team.
Before Zetapad
You built a great product. Now you're spending 80% of your time on LinkedIn outreach, manual list building, cold emails that bounce, and wondering if any of it is actually working.
With Zetapad
Describe your ideal customer profile once. Zetapad continuously finds matching companies, enriches them, generates personalized messaging, and launches outreach — while you focus on product. Attribution shows exactly which channels drive signups.
03 / For revops teams
Deploy GTM campaigns with engineering discipline — versioning, rollbacks, observability.
Before Zetapad
Your CRM is a black box. Campaign performance data lives in 5 different dashboards. When conversion drops, nobody knows why. Debugging a broken workflow takes hours of tracing through spreadsheets.
With Zetapad
Every campaign is traced end-to-end. Conversion drops trigger automated diagnostics. Multi-touch attribution shows exactly which channels and messages drive revenue. Deploy campaigns like software — with version history, rollback capability, and CI/CD-style pipelines.
04 / For agencies
Run GTM for 50 clients with a team of 5 — each client gets their own AI engine.
Before Zetapad
Every client needs a different stack, different workflows, different reporting. You're drowning in tool administration instead of delivering results. Scaling means hiring — linearly.
With Zetapad
Each client gets an isolated organization with their own signal detection, enrichment, and campaign runtime. White-label reports go directly to clients. Your team manages strategy — AI handles execution. 50 clients, same headcount.
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