Executive Summary

Sales, enablement and founder teams lack granular, slide-level insight into what actually moves deals—page-level views and dashboards miss which specific slides cause replays, drop-offs or requests for follow-up, so reps waste time and decks remain suboptimal. That pain is acute for any org that relies on asynchronous deck review (investors, buyers, SDRs) and wants clear next steps rather than raw metrics. Build a product that captures slide-level viewer behavior (time on slide, replays, focus/scroll patterns) and uses AI to automatically rewrite weak slides, generate prioritized follow-up messages, and run A/B experiments, with lightweight SDKs and CRM integrations to trigger actions. The UI should emphasize actionable recommendations and closed-loop measurement (meetings, demo requests, conversions) instead of raw dashboards. The market is attractive now: a roughly $4.0B addressable market (2M companies × $2K ACV) and rising asynchronous deal evaluation make slide-level signals more valuable, while buyers increasingly prefer tools that deliver outcomes, not just insights. With AI editing and automation becoming cheap, there’s room to monetize behavior-to-action workflows at enterprise pricing and scale quickly. You can differentiate by owning the signal-to-action loop—automated slide rewrites, targeted outreach playbooks, and validated lift through closed-loop experiments—rather than selling analytics alone. That said, integration complexity, privacy/compliance, and data sparsity per deck are real hurdles; validate quickly with seed customers, privacy-by-design defaults and a CRM-first integration to prove value before scaling.

Market Opportunity

Use slide-level viewer behavior to automatically optimize and act on decks targets a $4.0B = 2M companies × $2K ACV (annual spend on deck-sharing, sales enablement, and conversion analytics per company) total addressable market with high saturation and a year-over-year growth rate of 15% YoY — sales enablement and analytics demand is growing as remote selling and asynchronous deal evaluation increase (industry reports and vendor growth patterns)..

Key trends driving demand: Asynchronous deal evaluation is rising — more investors and buyers review decks off-hours, increasing the value of behavior signals that occur without meetings.; AI-driven content editing and personalization are becoming cheap and reliable — this enables automated slide rewrites and targeted follow-ups from engagement signals.; Companies expect outcomes, not dashboards — buyers prefer tools that convert analytics into recommended actions and measurable lift.; Data privacy and consent frameworks are tightening — platforms that offer privacy-first, opt-in benchmarking gain enterprise trust and adoption..

Key competitors include DocSend, PandaDoc, Gamma / Pitch / Modern presentation tools (representative).

Sign in to access

Use slide-level viewer behavior to automatically optimize and act on decks

Executive Summary

Market Validation

Market Opportunity

More in Sales Tech

Replace multiple business apps with one AI-driven CRM + automation platform

Missed enquiries cost trades — automate lead-to-booking & paid invoices

Solo sellers losing deals from missed follow-ups — lightweight pipeline + reminders

Stop missed WhatsApp leads — AI auto-replies + unified lead CRM (inbox→pipeline)

Managing leads, estimates and payments for window-cleaning SMBs

Stop manual follow-ups and unify customer data with AI-driven automation