Every prospect deserves the right meeting

Our model analyzes historical call outcomes alongside prospect attributes (industry, company size, role, pain points) and salesperson strengths. It builds a compatibility score for every possible pairing and routes each prospect to the rep most likely to close.

No problem. MeetMatch starts with random assignment and begins learning from day one. Most teams see meaningful improvements within 2-4 weeks, and the model gets stronger with every completed call.

The model begins learning immediately. After roughly 50-100 completed calls with outcome data, you'll start seeing statistically significant improvements in match quality. Larger teams reach this threshold faster.

Yes. MeetMatch works as a standalone scheduling platform, but it can also plug into Calendly, HubSpot, Salesforce, and other tools via our API. The AI matching engine works behind the scenes regardless of how your prospects book.

Prospects fill out a brief pre-screening questionnaire, then pick a time slot — just like any other scheduling tool. The AI matching happens behind the scenes. From the prospect's perspective, they're simply being connected with the right person to meet.

Absolutely. All data is encrypted at rest and in transit. We're SOC 2 Type II compliant and GDPR-ready. Your prospect data is never shared across organizations, and you can request full data deletion at any time.

Yes. You have full control over the fields, question types, and logic in your intake form. Add dropdowns, text inputs, number fields, and more. The AI uses whatever data you collect to improve matching.

MeetMatch includes built-in A/B testing. A small holdout group is randomly assigned so you always have a control group to compare against. The ROI dashboard shows the exact revenue lift from AI matching vs random assignment.