ListingLaunch — the spec

A dashboard tool for real estate agents that turns property details and audience inputs into polished ad copy, then tracks how those ads perform and automatically captures and qualifies the leads they generate. Built for agents who need professional advertising output without a marketing team behind them.

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Decisions locked

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The core loop

1. Agent opens the dashboard and starts a new campaign, entering property details (address, price, bedrooms, key features) and defining the target audience (first-time buyers, upsizers, investors, etc.).
2. The AI generates polished ad copy suited to that property and audience.
3. Agent publishes or schedules the ad externally; performance data feeds back into the dashboard via platform integrations or spreadsheet import.
4. The dashboard surfaces real-time metrics per platform — impressions, clicks, cost-per-lead — on the main tracking view.
5. Leads generated by the ad hit the lead capture layer, which qualifies them automatically (budget range, timeline, intent signals) before surfacing the best ones to the agent.
6. At month-end, the system compiles a performance report the agent can send to clients or review themselves.

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v1 scope

Lead Capture and Qualification Automation
Incoming leads from ad traffic are collected into a structured pipeline; the system scores and qualifies each lead against configurable criteria (budget, timeline, property type match) so agents see prioritised contacts, not raw noise. Lives on the Leads screen.

Monthly Performance Report Generation
At the end of each calendar month, the system auto-generates a formatted report summarising spend, impressions, leads captured, and qualification rates across all active campaigns. Delivered in-dashboard and exportable as PDF. Lives on the Reports screen.

Real-Time Performance Tracking by Platform
A live metrics panel breaks down ad performance by connected platform, showing impressions, clicks, CTR, and cost-per-lead updated continuously. Supports data entry via spreadsheet import where direct integration is unavailable. Lives on the Dashboard home screen.

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Deliberately later

• Auto-generate ad copy from MLS listings — direct MLS sync adds credential and API complexity; nail the manual input flow and prove value first.
• A/B test multiple audience segments instantly — requires statistically significant traffic volume; sensible once the user base passes the early-adoption threshold.
• Multi-channel deployment (Facebook, Instagram, Google) — publishing integrations multiply maintenance surface; real-time tracking proves the data layer works before writing to those APIs.
• Competitor pricing analysis integration — third-party data licensing and scope creep; fits naturally into a v2 intelligence layer once the core ad loop is trusted.
• Property photo optimization and staging suggestions — computer vision feature set that deserves its own design pass; add after the text-copy workflow is validated.

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Data model sketch

• agents — agent_id, name, email, subscription_tier, created_at
• campaigns — campaign_id, agent_id, property_address, property_details (JSON), target_audience, ad_copy, status, created_at
• leads — lead_id, campaign_id, contact_info (JSON), qualification_score, budget_range, timeline, intent_signal, created_at
• platform_metrics — metric_id, campaign_id, platform_name, impressions, clicks, ctr, cost_per_lead, recorded_at
• imports — import_id, agent_id, campaign_id, file_name, row_count, imported_at, status
• reports — report_id, agent_id, report_month, generated_at, pdf_url, summary_data (JSON)

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Screens

• Dashboard (home) — real-time performance metrics across all active campaigns, broken down by platform.
• New Campaign — property detail form, audience selector, and AI copy generation output.
• Leads — prioritised lead pipeline with qualification scores and contact details.
• Campaign Detail — per-campaign view of copy, spend, metrics history, and associated leads.
• Reports — monthly report archive with generation controls and PDF export.
• Import — spreadsheet upload interface for feeding platform data into the tracking layer.
• Settings — agent profile, platform connection status, and qualification criteria configuration.

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How to use this document

• Bring it into Mind Palace, where the guided platform and its AI coach pick up from exactly this document and build the product with you step by step.
• Hand it to a developer as the complete v1 brief — scope, data model, and screen list are all here.
• Keep it as the single source of truth while you build, so every feature decision traces back to a locked choice.