The GTM Automation Engine is priced per engagement because the scope varies: some teams want the AI SDR layer only, others want enrichment, deliverability infrastructure and reporting wired together.
Rather than quoting a number that would be wrong for most readers, this guide gives you the comparison framework — what the engine replaces, and how to price your current equivalent.
What a typical outbound stack costs
| Layer | Usual approach | Replaced by the engine |
|---|---|---|
| Contact data & enrichment | Two or three vendors with overlapping credits | Waterfall enrichment in one pipeline |
| Sequencing | A per-seat sending platform | Managed sending workflow |
| Deliverability | Warm-up tools plus manual domain admin | Domain, DNS and warm-up handled |
| Copy & research | SDR hours per prospect | AI research and drafting per account |
| Reporting | Spreadsheets stitched from exports | One reporting surface |
How to price your current equivalent
- Add twelve months of every data, sequencing and warm-up subscription you pay for.
- Add the loaded cost of the SDR hours spent on research, list building and list cleaning.
- Add the cost of domains and mailboxes you maintain for sending.
- Compare that total against a scoped engagement, not against a single line item.
What drives the quote
- Number of markets and languages in scope.
- Volume of accounts researched and sequenced per month.
- Whether you need sending infrastructure built or want to keep your own.
- Depth of CRM integration and reporting required.
Pairing it with attendee data
The engine performs best against a defined audience rather than a cold universe. Teams that combine it with conference attendee lists start from named people at real companies with a shared context — the event — which lifts reply rates and shortens the research step.
Frequently asked questions
Why is pricing custom?
Scope varies widely between agencies and in-house teams. We quote against markets, volume and whether sending infrastructure is included.
Can I start with one layer?
Yes. Many teams start with enrichment and deliverability, then add the AI SDR layer once the foundations are stable.
Do you work with agencies reselling the output?
Yes — agency engagements are a core use case, including multi-client setups.
Scope your GTM engine
Tell us your markets, volume and current stack and we will price the engagement.
See the GTM engine