IndustriesSaaS & Technology
SaaS & Technology
Go-to-market systems alignment, revenue operations automation, and product/customer data turned into executive signal.
What we do here
SaaS and technology companies scale on the quality of their go-to-market and customer data. We help revenue, customer success, and operations teams connect the sales, product, and support systems that drive growth, and turn that data into decisions the executive team can act on.
Typical work: CRM hygiene, revenue operations automation, product-to-CRM data flow, customer health and expansion signal, and executive metrics that don't require a quarterly board-prep scramble.
We integrate with existing RevOps and data teams rather than replacing them. Most engagements leave a documented data model, a set of automations, and a reporting layer the internal team owns and extends.
The outcome is a trustworthy pipeline and forecast, real customer health signal, and executive reporting produced from live data instead of assembled by hand each quarter.
Where we focus
The problems that come up the most.
- 01
CRM, product, and support data living in isolation
- 02
Manual revenue operations work that scales linearly with headcount
- 03
Customer health and expansion signal that is felt but not measured
- 04
Forecasting and pipeline hygiene that leadership doesn't trust
- 05
Executive reporting produced by hand every quarter
- 06
Lead and account routing that breaks as the team grows
- 07
Product usage data that never reaches the go-to-market team
Typical engagements
Shapes of work we take on.
CRM and RevOps reset
Rebuild the data model, routing, and stage definitions so pipeline reporting is defensible.
Product-to-CRM data pipeline
Move product usage and account signal into CRM so GTM can act on it.
Customer health and expansion signal
Stand up a measurable health model driving CS motions and expansion pipeline.
Executive and board reporting
Assemble one live reporting surface for pipeline, revenue, retention, and efficiency metrics.
Systems we work in
Signals of good work
- Revenue operations capacity returned to strategic work
- Trusted pipeline, forecast, and customer health metrics
- Executive and board reporting produced from live data
- A documented GTM data model the internal team owns
Questions we hear
What leaders ask before we start.
- 01
Do you replace our RevOps or data team?
No. We work alongside them, take on the projects they don't have bandwidth for, and hand back documented systems they own afterward.
- 02
Do you help with AI features in the product itself?
Our work is on the go-to-market and operations side. We do advise on AI in internal workflows and customer-facing operations, but not on product feature work.
- 03
How small can a first engagement be?
One reporting surface, one integration, or one workflow. We prefer a scoped first project over a large program.
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