HubSpot has announced a new pricing structure for two of its flagship AI agents.
Effective April 14, HubSpot is moving its Breeze Customer Agent and Breeze Prospecting Agent to an outcome-based pricing model.
The Customer Agent will be charged at $0.50 per resolved conversation; the Prospecting Agent at $1 per qualified lead.
In layman’s terms, this means no resolution, no charge; no qualified lead, no invoice.
This pricing shift will undoubtedly carry real implications for CX and customer service leaders evaluating where to put their budgets.
In HubSpot’s official blog, the company stated:
“We believe AI should be priced on the value it delivers, not the compute it consumes.”
This framing is designed to position Breeze not as a cost center to manage but as a revenue and efficiency lever to invest in, which may land very differently on a CFO's desk.
The company has some performance numbers to back the confidence.
Across more than 8,000 customers, the Breeze Customer Agent is reporting a 65% resolution rate and a 39% faster resolution time.
The Prospecting Agent, on the other hand, has seen a 57% quarter-over-quarter increase in activation and is contributing to 10% higher close rates across more than 10,000 customers.
Before unpacking what the shift means commercially, it is worth clarifying what each agent actually does:
- The Breeze Customer Agent is a 24/7 AI support tool trained on a company's knowledge base, website, and blog content to handle inbound customer queries without a human agent in the loop.
- The Breeze Prospecting Agent sits on the sales side: it researches prospects, personalizes outreach, and surfaces qualified leads so that sales reps can focus on closing rather than sourcing.
Part of a Broader Industry Shift
HubSpot joins a growing list of CX vendors rethinking how AI is sold and charged for.
Zendesk made an early move in this direction, launching what it described as an “industry first” outcome-based pricing model in mid-2024, under which customers are only charged for issues resolved autonomously by AI.
Speaking at the time, Nikhil Sane, SVP & GTM of Strategy and Pricing at Zendesk, said:
“Our outcome-based pricing solution is more than just a pricing model — it's a reflection of our dedication to driving real, measurable success for our customers.”
Salesforce has taken a more iterative approach with Agentforce, making repeated adjustments to its pricing structure in an effort to drive adoption.
Having replaced a $2-per-conversation model with a credit-based system – where individual actions cost around $0.10 – it subsequently introduced pay-as-you-go and pre-commit payment options alongside the existing pre-purchase model.