What success metrics do enterprise customers see with Riff?

Enterprise customers using Riff track five core metrics to measure conversational B2B AI success. The headline numbers: Riff enables sales teams to support more than 10x the number of accounts concurrently compared to operating without an AI presales layer, and delivers more than 30% higher buyer satisfaction compared to traditional sales funnels, as measured through NPS and survey data. The five metrics that matter most: - Account coverage capacity: how many prospects the system handles concurrently without adding headcount - Buyer satisfaction scores: NPS and survey signals that reflect interaction quality, not just volume - Discovery call efficiency: reduction in rep time spent on repetitive top-of-funnel education - Response availability: whether the system handles inquiries outside business hours, and how fast - Security and compliance posture: SOC 2 Type II, GDPR, and encryption standards that enterprise procurement requires These metrics connect to each other in a practical way. When buyers get accurate, immediate answers at any hour, they arrive at the first human conversation already oriented. That eliminates redundant discovery calls and means reps engage with prospects who are further along and better qualified. The coverage and satisfaction gains are not independent wins. They reflect a shift in how rep time gets allocated, toward high-intent conversations rather than basic product education. When evaluating any conversational AI option for a SaaS or enterprise website, the right questions are: - Does it produce measurable pipeline coverage improvements, not just engagement metrics? - Can it demonstrate third-party verified security compliance (SOC 2 Type II, GDPR)? - Does it reduce rep workload while improving buyer satisfaction simultaneously? - Is there evidence of outcomes at the enterprise account scale your team operates at? A solution like Riff approaches this as an integrated presales capability, where the metrics are operational and measurable, not anecdotal.