Executive Summary

Trade shows and events routinely produce piles of contacts that sales teams and event managers cannot triage quickly; sales leaders at the estimated 3.0M sales-focused companies worldwide, event organizers, and SMB sales teams without data-science resources face low post-event conversion and wasted follow-up hours. Typical event follow-up is manual and slow, reducing ROI on thousands of dollars spent per booth and leaving pipeline attribution unresolved. The consequence is missed revenue and a fractured handoff between marketing/event teams and field sellers. You could build a SaaS product that ingests structured event data (QR/NFC badge scans, badge-scan apps, business-card OCR), enriches records with firmographic and intent signals, and returns explainable AI lead scores via bi-directional CRM APIs within hours; target pricing around $6K ACV for a typical mid-market seat with usage tiers for larger accounts. Key product ingredients should be AutoML scoring templates that remove the need for dedicated data scientists, pre-built connectors to major badge and CRM vendors, human-in-the-loop tuning for sales feedback, and turnkey deployment for event managers to map fields and run scoring in a day. This market is attractive now because event digitization, CRM-API maturity, and advances in AutoML materially reduce time-to-value—our TAM math ($18.0B = 3.0M companies x $6K ACV) is credible, and the Market Score (93/100) and Revenue Potential (84/100) reflect strong demand if you can scale. To stand out you should emphasize rapid deployment (hours, not weeks), transparent/explainable scores, end-to-end CRM workflow automation, and partnerships with event-tech providers; be realistic about challenges such as heterogeneous data quality, privacy/compliance constraints, and a medium-competitive landscape that will require clear ROI proof points and strong channel play to win early adopters.

Market Opportunity

Turn trade-show piles into sales-ready prospects with instant AI lead scoring targets a $18.0B = 3.0M sales-focused companies worldwide x $6K ACV for predictive-lead-scoring + analytics total addressable market with medium saturation and a year-over-year growth rate of 18-25% (predictive analytics & sales-tech combined growth estimate).

Key trends driving demand: AI-for-sales -- models and AutoML enable bespoke scoring without large data science teams, reducing time-to-value.; Event-digitization -- QR/NFC badges and badge-scan apps produce structured, machine-readable event lead data at scale.; CRM-API maturity -- ubiquitous CRM integrations lower friction to sync scores and automate workflows.; Privacy & consent -- demand for privacy-preserving scoring and on-prem/edge inference changes product design toward local models..

Key competitors include Salesforce Einstein Lead Scoring, HubSpot Predictive Lead Scoring, 6sense, Clearbit, Spreadsheets + CRM Tags (workaround).

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Turn trade-show piles into sales-ready prospects with instant AI lead scoring

Executive Summary

Market Validation

Market Opportunity

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