| Derived Persona | What GPTWeb Captures | What AE Includes in Proposal | Tone & Framing | Closing Strategy |
|---|---|---|---|---|
| Technical Evaluator | Questions about APIs, security, integrations, architecture, performance specs | Technical architecture diagrams, integration specs, security documentation, SLA details | Precise, detailed, peer-level technical language | Proof of concept offer, sandbox access, technical demo with solutions engineer |
| Executive Buyer | Questions about ROI, time-to-value, competitive differentiation, team efficiency | Business case, ROI model, executive summary, customer success metrics | Strategic, outcome-focused, concise — respects time | Board-ready summary slide, CFO-friendly numbers, peer reference calls |
| Champion User | Questions about advanced features, team workflows, expansion capabilities | Feature roadmap, team onboarding plan, expansion pricing, case studies | Collaborative, enthusiastic, product-forward | Early access program, named champion success plan, co-marketing offer |
| Price-Sensitive Prospect | Questions about pricing, ROI calculator, trials, value proof, free options | Cost comparison, ROI calculator output, phased rollout option, pilot proposal | Transparent, value-forward, risk-reducing language | 30-day trial, month-to-month pilot, risk-reversal guarantee |
| Intelligence Field | What It Contains | How AE Uses It in Proposal |
|---|---|---|
| Conversation Transcript | Full verbatim record of every question and response across all sessions | Quote their own words back to them — 'You mentioned that data latency was your top concern...' |
| Derived Persona | AI-classified buyer type based on conversation patterns | Select the right proposal template and framing automatically |
| AI Score | Multi-dimensional score across engagement, behavior, firmographic, demographic | Prioritize proposal investment — high scores get custom decks, lower scores get standard |
| Topics Explored | List of subject areas the prospect engaged with most deeply | Lead with the sections that map to their explored topics — bury what they did not ask about |
| Pain Points Surfaced | Problems and challenges expressed in conversation | Open the proposal executive summary with their stated pain — not your generic pitch |
| DQL Status & Date | Whether and when the prospect crossed qualification threshold | Signals urgency — recent DQL means proposal should arrive fast while intent is hot |
| Segment Assignment | Which AI segment the prospect belongs to | Align proposal tier and pricing to segment — Enterprise vs SMB vs Mid-Market framing |
| Session Count & Recency | How many times they visited and when | Multiple sessions = high intent — reflect this in urgency and personalization depth |
| Proposal Moment | Without GPTWeb | With GPTWeb |
|---|---|---|
| Opening line | Hi, thanks for your interest in our platform... | Hi, you mentioned struggling with data pipeline latency and CRM accuracy — here is exactly how we solve that... |
| Pain point section | Generic list of industry pain points | Verbatim reflection of the prospect's own stated challenges from their conversations |
| Value proposition | Standard platform overview | Tailored to the topics and features the prospect explored most deeply |
| Pricing section | Full price list presented | Tier selected based on persona — enterprise pricing for executive buyer, ROI model for price-sensitive |
| Social proof | Generic customer logos | Case studies selected to match derived persona and industry context |
| Call to action | Let us know if you have questions | Next step pre-defined based on DQL score — trial, POC, or exec call ready to schedule |
| Proposal timing | Whenever AE gets around to it | Triggered automatically on DQL creation — while intent is at peak |
| AE confidence | Guessing at what matters | Walking in with a full intelligence brief on exactly what this prospect cares about |