Research

Working papers, field studies, and analytical briefs.

A growing body of research on the structural and behavioral patterns that shape the outcome of sales conversations.

  • Working Paper2026

    Why Deals Break After Pricing Discussions

    An analysis of 4,200 anonymized B2B sales transcripts examining behavioral and conversational shifts in the 72-hour window following the disclosure of price. Findings indicate a statistically significant decline in buyer-initiated communication, suggesting that price disclosure functions as a structural inflection point rather than a neutral exchange of information.

  • Field Study2025

    The Hidden Cost of “Send Me Information”

    Sales practitioners frequently interpret a buyer's request for follow-up materials as a positive signal. This longitudinal study of 1,800 opportunities tracks outcomes across a 12-month window. In 68% of cases, the request marked the final substantive interaction—suggesting it more often functions as a polite disengagement than a continuation of interest.

  • Brief2025

    Mid-Conversation Failures in Sales Calls

    A taxonomy of the structural moments within a sales conversation—the unanswered question, the misaligned transition, the unacknowledged objection—where momentum is most often lost. Drawn from a coded review of 950 recorded discovery calls.

  • Working Paper2025

    Silence as a Diagnostic Signal

    An examination of pause length, pause distribution, and conversational asymmetry as early indicators of opportunity decay. Includes a proposed framework for distinguishing reflective silence from disengaged silence.

  • Field Study2024

    The Discovery Call Decay Curve

    Tracking the rate at which discovery conversations lose informational density over time. The study identifies a consistent pattern in which the most consequential exchanges occur within a narrow window of the conversation's first third.

  • Brief2024

    Buyer Disengagement as a Latent Variable

    Disengagement is rarely declared. This brief proposes a framework for inferring it from observable patterns in response time, message length, and stakeholder participation.