Build a Custom Real Estate Dashboard Using AI in Minutes
Turn a plain-English description of your Real Estate Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
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Emergent Key Features for Building a Real Estate Dashboard
Each instruction followed through enquiry, viewing, offer and completion, so conversion is measured at every step.
Conversion at Every Stage
Enquiries to viewings to offers are measured per listing, so a slow sale is diagnosed as a pricing, marketing or presentation problem.
Days on Market against Local Average
Each listing is compared with comparable properties nearby, which makes a vendor conversation about price evidence based.
Views Without Viewings Flagged
Listings attracting portal interest but no viewings are identified, which is the clearest early signal that the asking price is wrong.
Commission Pipeline by Stage
Expected fees are weighted by conveyancing stage, giving a realistic revenue forecast rather than a total of everything under offer.
Fall Through Analysis
Failed transactions are tracked with reasons and by agent, exposing patterns that repeat until somebody measures them.
Agent Level Conversion
Instruction to completion rates are compared across agents, distinguishing who wins instructions from who actually completes them.
Real Estate Dashboard Use Cases You Can Build in Minutes
Have the Price Conversation with Evidence
Every active listing with asking price, days on market against the local average, enquiries and viewings generated, offers received, price reductions applied, portal views and listings with views but no viewings.
window.awbMockup = { listingPerformance: "Build a real estate dashboard showing every active listing with asking price, days on market against the local average, enquiries and viewings generated, offers received, price reductions applied, portal view counts, and listings with high views but no viewings suggesting a pricing problem.", salesPipeline: "Build an agency pipeline dashboard showing properties under offer with agreed price, stage in the conveyancing process, days since offer accepted, chain dependencies, expected completion date, commission value at each stage, and transactions at risk of falling through with the reason.", agentPerformance: "Build an agent performance dashboard showing instructions won, listings taken, viewings conducted, offers agreed and completions per agent against target, average commission per completion, instruction to completion conversion rate, average days on market by agent, and fall through rate per agent.", marketAndValuation: "Build a local market dashboard showing average asking and achieved prices by area and property type, the gap between asking and sold price, average days on market by area, listing volume against completions, price movement over 12 months, and areas where stock is selling fastest."};
Forecast Commission You Can Actually Bank
Properties under offer with agreed price, conveyancing stage, days since offer accepted, chain dependencies, expected completion date, commission value at each stage and transactions at risk of falling through.
window.awbMockup = { listingPerformance: "Build a real estate dashboard showing every active listing with asking price, days on market against the local average, enquiries and viewings generated, offers received, price reductions applied, portal view counts, and listings with high views but no viewings suggesting a pricing problem.", salesPipeline: "Build an agency pipeline dashboard showing properties under offer with agreed price, stage in the conveyancing process, days since offer accepted, chain dependencies, expected completion date, commission value at each stage, and transactions at risk of falling through with the reason.", agentPerformance: "Build an agent performance dashboard showing instructions won, listings taken, viewings conducted, offers agreed and completions per agent against target, average commission per completion, instruction to completion conversion rate, average days on market by agent, and fall through rate per agent.", marketAndValuation: "Build a local market dashboard showing average asking and achieved prices by area and property type, the gap between asking and sold price, average days on market by area, listing volume against completions, price movement over 12 months, and areas where stock is selling fastest."};
Measure Who Completes, Not Who Lists
Instructions won, listings taken, viewings conducted, offers agreed and completions per agent against target, average commission per completion, instruction to completion conversion, days on market by agent and fall through rate.
window.awbMockup = { listingPerformance: "Build a real estate dashboard showing every active listing with asking price, days on market against the local average, enquiries and viewings generated, offers received, price reductions applied, portal view counts, and listings with high views but no viewings suggesting a pricing problem.", salesPipeline: "Build an agency pipeline dashboard showing properties under offer with agreed price, stage in the conveyancing process, days since offer accepted, chain dependencies, expected completion date, commission value at each stage, and transactions at risk of falling through with the reason.", agentPerformance: "Build an agent performance dashboard showing instructions won, listings taken, viewings conducted, offers agreed and completions per agent against target, average commission per completion, instruction to completion conversion rate, average days on market by agent, and fall through rate per agent.", marketAndValuation: "Build a local market dashboard showing average asking and achieved prices by area and property type, the gap between asking and sold price, average days on market by area, listing volume against completions, price movement over 12 months, and areas where stock is selling fastest."};
Know Your Local Market Properly
Average asking and achieved prices by area and property type, the gap between asking and sold price, days on market by area, listing volume against completions, twelve month price movement and where stock sells fastest.
Know Your Local Market Properly
Average asking and achieved prices by area and property type, the gap between asking and sold price, days on market by area, listing volume against completions, twelve month price movement and where stock sells fastest.
Build a custom real estate dashboard in 4 simple steps
Track listings, enquiries, days on market and commission pipeline in one view, so an agency is run on conversion rather than on how many boards are up.
Start with active listings and their stage, enquiries and viewings per listing, offers received, days on market, fall through rate and commission pipeline. Emergent builds around your listing types and agent structure.
Link your agency software, portal enquiry feeds, viewing records and completion data. Emergent follows each listing from instruction to completion, so conversion is measured at every step rather than only at the end.
Ask to add a branch, change how days on market is calculated, alter commission stages or add a property type, and every listing and pipeline view rebuilds.
Publish one link where each agent sees their own listings and pipeline while management sees the office. Vendor conversations happen with real enquiry and viewing data behind them.
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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
| Comparison | Other Tools |  |
|---|---|---|
| Built for | Demos and MVPs | Products you keep growing |
| What you get | Front end shell only | Full stack, wired end to end |
| Backend and database | Set it up yourself | Built and connected for you |
| Customization | Surface level styling | Deep workflow control |
| Integrations and APIs | Manual glue work | Connected from a prompt |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of patching and setup | Live the same day |
Pick the Pricing Plan That Works for You
Choose the plan that fits your building ambitions. From weekend projects to enterprise applications, we've got you covered.
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