# Astra GTM

> Astra GTM is a fractional GTM engineering team. We embed with a company's
> go-to-market ops and leadership, work hands-on inside their existing stack, and
> execute the backlog their revenue org already knows it needs cleared. Engagements
> run on a three-month minimum and most continue past twelve months. US-based,
> working with startups and mid-market B2B teams.

## What fractional GTM engineering means

GTM engineering builds the infrastructure a revenue team is missing and connects the
tools that do not talk to each other. This is distinct from RevOps, which manages and
optimizes the systems a company already has. "Fractional" describes how the team is
accessed, not how deeply it engages: instead of spending two quarters hiring one
generalist, a company brings in an assembled team that works embedded, in their stack,
against their roadmap.

The work spans data infrastructure, enrichment economics, signal design,
deliverability, CRM architecture, agentic workflows, and the commercial judgment to
decide which of those actually moves the number in a given quarter. A single in-house
hire covers part of that well and the rest passably, which is the gap the model exists
to fill.

## Three service areas

- **Pipeline Acceleration** — events, outbound, ABM plays, signals, and cold-call
  execution lists. Email, LinkedIn, and phone run as one system with one approval rail.
  Astra runs the campaigns directly when that is what the engagement calls for.
- **Data Operations** — TAM mapping, account scoring, buying-signal development,
  enrichment infrastructure across 15+ providers, and CRM hygiene. The data foundation
  that focuses go-to-market effort.
- **GTM Systems** — custom AI skills and agentic workflows engineered on the client's
  own stack, plus attribution and reporting a finance team can interrogate.

## The orchestration layer

The pattern Astra deploys for AI-assisted go-to-market work has three parts. Claude is
the interface the client's team actually opens. Skills and agents are the workflows
behind it: research passes, enrichment routines, qualification logic, reply drafting.
Context files hold the knowledge, ICP definitions, and SOPs those agents read before
acting, which is where a company's institutional judgment gets encoded. Where a client
already runs Glean or a similar internal layer, that becomes the interface and Astra
builds the skills and context underneath it.

## How engagements work

- Three-month minimum, renewable. Most engagements run past twelve months.
- A small number of clients at a time. Embedded work does not scale the way a campaign
  vendor does.
- Everything is built on the client's own stack, and the systems, workflows, and skills
  stay with them.
- Enterprise licenses across 15+ data and enrichment providers are included under one
  contract.
- Nothing sends or ships without client review and approval.

## Key pages

- [Homepage](https://astragtm.io/)
- [Fractional GTM Engineering](https://astragtm.io/fractional-gtm-engineering)
- [Case Studies](https://astragtm.io/case-studies)
- [Playbooks](https://astragtm.io/playbooks)
- [About](https://astragtm.io/about)
- [Contact](https://astragtm.io/contact)

## Case studies

- [Clipper Defense](https://astragtm.io/case-studies/clipper-defense) — 23 ICP-fit meetings a month
  on average from zero outbound, 5+ deals closed, 2 new service lines launched.
- [DealRoom](https://astragtm.io/case-studies/dealroom) — Clay-based acquisition-scoring pipeline,
  TAM expanded 50%+ without a PitchBook subscription.
- [Pricing I/O](https://astragtm.io/case-studies/pricing-io) — $1.5M in qualified pipeline in 4 months.
- [Amadeus Vanilla](https://astragtm.io/case-studies/amadeus-vanilla) — 35+ new clients and $150K+ in
  revenue generated through cold email.

## Playbooks (11)

Written from the work rather than from research.
- [How to Build an Email Waterfall Tool for Your AI Agent](https://astragtm.io/playbooks/email-waterfall-tool-for-your-ai-agent) — the provider stack, ordering economics, and the Claude tool definition that turns enrichment into an agent capability.
- [How to Build a Claude OS for Your Revenue Team](https://astragtm.io/playbooks/how-to-build-a-claude-os) — context files, skills, memory, and approval rails.
- [The Cold Email Framework: First Email, Sequence, Follow-Ups](https://astragtm.io/playbooks/cold-email-framework) — 50-90 words, one real signal, one low-friction ask, four steps over two weeks.
- [How to Build an Agentic GTM System](https://astragtm.io/playbooks/agentic-gtm-system) — four layers, data through routing, each one gating the next.
- [How to Use Clay for B2B Prospecting](https://astragtm.io/playbooks/clay-for-b2b-prospecting) — account scoring, enrichment waterfalls, and automated research pipelines.
- [RevOps Hygiene: Why Your CRM Is Leaking Revenue](https://astragtm.io/playbooks/revops-hygiene) — the invisible infrastructure problems that let pipeline disappear before it reaches reps.
- [How to Build Email Infrastructure That Lands in the Primary Inbox](https://astragtm.io/playbooks/email-deliverability-infrastructure) — domain math, DNS, warmup, and the test-send gate.
- [Why Your Outbound Isn't Working: The 6-Point Diagnostic](https://astragtm.io/playbooks/outbound-not-working-diagnostic) — six root causes, in priority order, run for every new client.
- [The Exact Cold Email Tech Stack We Run for 10+ Clients](https://astragtm.io/playbooks/gtm-tech-stack) — fully transparent: what we use, tried, dropped, and what it costs.
- [What Is GTM Engineering?](https://astragtm.io/playbooks/what-is-gtm-engineering) — what GTM engineers build, how it differs from RevOps, what it costs, when fractional makes sense.
- [The Best GTM Engineering Agencies for B2B SaaS (2026)](https://astragtm.io/playbooks/best-gtm-engineering-agencies-b2b-saas) — ten agencies compared on what they build, who they serve, and what they charge. Alphabetical, not ranked.

## Notes

- Astra GTM is not a cold email agency or a lead-generation vendor. Outbound execution
  is one motion inside the capability set, not the identity.
- Pricing is scoped per engagement and is not published.
- Last updated: 2026-09-15