Eight in 10 estate agents say revenue is trapped in old CRM data

More than eight in 10 estate agency leaders believe untapped revenue is sitting within their historic CRM databases, according to industry research highlighted by Greenhouse OS.

A Kerfuffle survey found 82.4% of agency leaders believe their old data contains potential revenue, while 26.5% say they know the opportunity exists but cannot easily find it.
Greenhouse OS argues that years of information accumulated about vendors, landlords, properties and previous appraisals are becoming increasingly valuable as agencies begin using artificial intelligence to identify and reactivate potential clients.

But accessing that information can be difficult when records have become fragmented, outdated or are left behind during moves between CRM platforms.

DATABASE HISTORY

The Kerfuffle research found 58.8% of agency bosses cited vital historical information becoming buried or lost as their biggest concern when migrating to another CRM.

Greenhouse says agencies should therefore avoid treating a CRM move simply as an opportunity to start again with recent records.

The company points to a seven-branch Hertfordshire agency for which it migrated more than 1.2 million historical records in 2024, including fields, photographs, files and comments accumulated by the business.

It has also migrated 748,831 records for a three-branch Essex agency that had been operating for 20 years.

AI OPPORTUNITY

Greenhouse argues retaining that history could become particularly important as AI plays a greater role in estate agency prospecting.

Ian Preston, Chief Executive Officer of Greenhouse OS, says: “The biggest single application of AI in Estate Agency right now is hyper-personalisation, making something delivered on a mass scale feel like it was created just for one person.

“But to power that, you need rich history. Unlike traditional CRMs that archive historical data from valuation to completion and let it disappear, retaining your complete property and contact structure fuels prediction engines.

“That complete data set is what enables AI to drive real results.”

Greenhouse says historical vendor, landlord and appraisal information can be cross-referenced with current market activity and Land Registry transaction dates to identify potential opportunities.

AI tools can then be used to re-engage and qualify contacts rather than requiring agency staff to manually search old records or make large numbers of speculative calls.

The company has also launched a Hidden Revenue Calculator designed to estimate the potential commission opportunity contained within an agency’s existing database.

Author

Top 5 This Week

Related Posts