Rove Travel rents luxury, fully furnished homes by the month, with hotel-grade service behind them. Every deal used to end the same way, with a Word document emailed to a homeowner who forwarded it to their lawyer. Rove replaced that with DealHub AI, running CPQ, a branded DealRoom and e-signature on top of HubSpot. Its own team configured the whole thing, and every signed term now lands in HubSpot where the next team can act on it.
Rove's own team configured CPQ, DealRoom and the HubSpot connection, two weeks early.
Configured in the interface, with no code written anywhere in the build.
Signed terms trigger fulfillment, legal review and onboarding in HubSpot without re-keying.
Rove courts a luxury homeowner for a year or more before a property ever lists. Then the agreement arrived as a Word document, and the homeowner sent it straight to their lawyer. A couple of weeks of redlines later, the deal might close. The last touch in a year-long relationship was the one that looked least like Rove, and it was the one that cost the most time.
We spend a year earning a homeowner's trust and then hand them a document their lawyer has to mark up. Why is the last impression the weakest one?
We have no developers and no admin team. Who is going to build a quoting system, and how fast can they change it once it is running?
Every negotiated term lives in the redlines and then in someone's inbox. How do fulfillment, legal and onboarding find out what was actually signed?
Our business development team is growing. How do we let more people send contracts without letting more people invent terms?
| Before | After |
|---|---|
No developers, no admin resource, and a quoting system that would have needed both. | One non-technical owner configures CPQ, DealRoom and the HubSpot connection in the interface. |
Signed terms lived in redlines, Slack threads and spreadsheets, and reached the next team by memory. | Signed terms sync into HubSpot and trigger fulfillment, legal review and onboarding automatically. |
Reps set price and legal language themselves, with long Slack threads as the only check. | Reps configure inside pre-approved guided playbooks, and legal is pulled in only by exception. |
“We’ve been sending a word document where… they would immediately send it to their lawyer. Couple weeks of red lines later, we might get the deal across the line… really saw DealHub as an opportunity to build credibility there.”
Sam Swansen
Chief of Staff
DealHub AI gave Rove a branded DealRoom in place of the contract attachment. Previously a year of relationship-building ended with a Word document the homeowner forwarded to their lawyer, and a couple of weeks of redlines before the deal could close. Now the agreement arrives as a room that looks like Rove.
Sam Swansen owned the build on Rove's side, working with the DealHub AI implementation team. Rove has no developers and no admin function to hand it to.
Business-owned configuration. Guided playbooks hold the approved price and legal frames, approval flows route the exceptions, and legal is engaged by exception rather than on every contract.
CPQ, DealRoom and e-signature were live on HubSpot in three weeks, two weeks ahead of the planned date. The customer's own wording is "three to four weeks".
The business development team quotes inside the guided playbooks from go-live, with no phased pilot. Rove's whole quoting motion moved at once, because there was no prior system to run alongside.
HubSpot CRM over a native API connection with a real-time sync, plus e-signature inside the DealRoom. HubSpot is also Rove's first CRM of any kind.
Light. No code was written and no developer was involved at any point, against a company with no in-house technical or admin resource to draw on.
DealHub is ISO 27001, ISO 27701, ISO 22301, and ISO 42001 certified, holds SOC 1 Type II and SOC 2 Type II attestations, and is GDPR and CCPA compliant, alongside additional security, privacy, and compliance frameworks.
Eliminate the
Friction between Quote-to-Revenue
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