Preach provides an AI‑driven platform for B2B sales teams to identify, match, and track customer references that accelerate deal closing. By integrating with Salesforce or HubSpot, it automatically analyzes NPS scores, usage data, and renewal history to surface the best advocates, ranks them for each prospect in seconds, and measures the revenue impact of each reference.
Funding
Funding not disclosed
Founders
Product
Problem
Sales teams often rely on manual spreadsheets, Slack messages, and guesswork to select customer references, resulting in no clear attribution of reference impact on deal outcomes and inefficient use of advocate resources.
Solution
Preach offers an AI‑driven platform that integrates with Salesforce or HubSpot to automatically import customer data, usage metrics, NPS scores, and support history. The AI model identifies the strongest advocates—including hidden ones—and ranks them based on fit, availability, and fatigue for each prospect. Sales reps can request a reference by industry, company size, use case, or buyer persona and receive ranked matches within seconds. The system tracks which references are used on which deals and measures their contribution to closed‑won revenue, providing quantifiable ROI for sales and marketing leadership.
Target Audience
Primary users are B2B sales teams and account executives handling $50K–$500K+ enterprise deals, as well as sales operations and marketing leaders who need measurable reference program performance.
Features
- Native integrations with Salesforce and HubSpot for real‑time data sync without manual setup
- AI analysis of product usage, NPS, support, and renewal data to surface top advocates
- Smart matching engine that ranks references by fit, availability, and fatigue across multiple dimensions
- Instant ranked list of advocates returned in seconds after a rep’s request
- Impact tracking dashboard that links reference usage to deal outcomes and calculates pipeline contribution
- Exportable metrics for reporting to CMO and other stakeholders