Run repeatable GTM systems across clients without losing control
Zevari gives agency and fractional GTM operators a reusable operating layer for client work. Claude helps adapt the strategy per client, while Zevari workflows, sender controls, and agents keep execution consistent.
Jobs to be done
- Create reusable playbooks for each client ICP and offer.
Agency / Fractional GTM Team
- Build target lists, research accounts, and stage outreach.
Agency / Fractional GTM Team
- Run content and signal workflows alongside outbound.
Agency / Fractional GTM Team
- Classify replies and hand off qualified conversations.
Agency / Fractional GTM Team
- Summarize campaign progress and operational next steps.
Agency / Fractional GTM Team
How they use Claude
- Use Claude to adapt the same workflow to each client positioning, ICP, and voice.
Claude uses Zevari workspace context, skills, and workflows for this GTM motion.
- Ask Claude to summarize account research, campaign state, and client-ready updates.
Claude uses Zevari workspace context, skills, and workflows for this GTM motion.
- Have Claude generate client-specific content and outreach while Zevari preserves execution controls.
Claude uses Zevari workspace context, skills, and workflows for this GTM motion.
Outreach motion
- Start with client ICP, offer, voice, and target source.
This step stays inside Zevari's review and account controls.
- Claude adapts the playbook and reviews the target context.
This step stays inside Zevari's review and account controls.
- Zevari stages outreach, content, inbox, and follow-up actions.
This step stays inside Zevari's review and account controls.
- Daily digests and pipeline health checks support client reporting.
This step stays inside Zevari's review and account controls.
Expected outcomes
- Repeatable client delivery without rebuilding every workflow.
Outcome depends on workspace setup, inputs, review quality, and execution settings.
- Cleaner approval and handoff around outbound execution.
Outcome depends on workspace setup, inputs, review quality, and execution settings.
- A shared operating record for research, content, replies, and pipeline.
Outcome depends on workspace setup, inputs, review quality, and execution settings.