How is iDBQuery used by real estate brokerages?
Real estate brokerages use iDBQuery to ask plain-language questions across listings, transactions, agent production and commission data, getting cited answers in seconds without SQL. It joins your CRM, MLS exports and spreadsheets into one live model so leadership tracks production and pipeline without a data team.
A brokerage's numbers are spread across a transaction-management system, CRM, MLS exports and commission spreadsheets. iDBQuery unifies them into one live model so a broker-owner or operations lead can ask plain-language questions and get cited answers, no SQL and no analyst.
Typical questions:
- What is gross commission income by agent, office and month?
- Show units closed, average sale price and days on market by market.
- Which agents' pipelines are growing or shrinking fastest?
- What is our list-to-sale price ratio and how has it trended?
- Which lead sources produce the highest close rate and GCI?
iDBQuery ingests the CRM database, CSV MLS exports and Excel commission files together without a pipeline, joins them and cites each figure back to the source row, so production reports and agent scorecards are trustworthy. It generates the charts and shareable reports leadership needs for sales meetings, and the Analyst agent can investigate a question like "why did closings slow in one office" on its own.
Deployment is flexible: cloud, your own VPC, or the Desktop app to keep agent and client data local with query-in-place. The differentiator over a spreadsheet or generic BI tool is that leadership gets an answer to any ad-hoc question in seconds, across every source at once.
Updated 2026-06-22