AI Technology Helps Property Developers Identify Potential Buyers

JAKARTA – Property developers face challenges in turning digital marketing activity into sales transactions. These include the quality of prospective buyers, measuring advertising effectiveness, sales team productivity and providing information about an area’s potential.

Property technology company AtlasGo has developed a range of artificial intelligence (AI)-based solutions to address these issues. The technology is being used in partnership with several property projects in Surabaya: Tierra, Alba, Graha Famili, The Rosebay and Graha Natura, developed by PT Intiland Grande.

AtlasGo co-founder and chief technology officer David Kusnadi said developers could not rely solely on the number of prospective buyers arriving through various digital marketing channels. They also needed to understand how interested and ready those prospects were to make a purchase.

“A thousand prospective buyers can look impressive in a report. But what if 900 of them are not even ready to buy? Developers have been so busy counting how many prospects come in that they have forgotten to understand who is actually there and ready to buy,” David said in a press release on Thursday (12 November 2026).

Using AI-powered sales and marketing intelligence, AtlasGo analyses consumer behaviour and tracks purchase intent. The analysis draws on prospective buyers’ digital activity, including the projects they explore, the information that captures their attention and interaction patterns that indicate their level of interest in a home.

The data helps marketing teams identify which prospects to prioritise and tailor sales approaches to consumer needs. Developers are thereby expected to focus more on the quality of sales opportunities rather than simply the number of prospective buyers.

Another challenge is measuring how marketing activity contributes to transactions. A wide reach for a digital advertisement does not necessarily mean that a campaign generates high-quality prospects.

AtlasGo uses marketing attribution and sales intelligence technology to link marketing activity to the consumer journey through to conversion. This enables developers to assess which content and marketing strategies contribute to sales opportunities, while adjusting budget allocations based on data.

Sales team productivity is another issue for developers. Administrative tasks, data updates and recording the progress of prospective buyers can take time away from interactions with consumers.

AtlasGo has developed an AI Assistant to help sales staff understand consumer profiles and interests, receive sales strategy recommendations, and update information on their activities and prospective buyers’ progress. The technology also gives sales managers an overview of prospects’ progress and team activity.

AtlasGo business development manager Aditya Kusuma said developers in East Java faced challenges not only in finding prospective buyers, but also in ensuring that every opportunity was followed up appropriately.

“Unfortunately, developers and their sales teams spend a lot of time on administration and updating data. With the AI Assistant, we want to change that,” Aditya said.

A fourth issue is the limited information that sales staff can provide to prospective buyers. In addition to details about a property unit, consumers also need an understanding of the surrounding area and its business potential.

To meet this need, AtlasGo has developed ProperView, an interactive marketing solution based on virtual tours. The technology allows prospective buyers to explore projects and unit features digitally without visiting the site in person.

AtlasGo also offers GeoProperView, a location-intelligence technology that maps the distribution and categories of businesses within a specified radius. Developers and sales staff can use this information to explain an area’s characteristics and the business potential around a property, particularly for commercial space.

David said two shop-houses of the same size and price could have different business prospects because of the characteristics of their locations. Information about an area’s potential, he said, could be an important part of property marketing.

“With GeoProperView, we want to change how shop-houses are marketed: from simply offering a location and a building to providing data-based business insights,” David said.

Harto Laksono, marketing director for Intiland’s Surabaya region, said changing consumer behaviour meant developers needed to adapt how they provided information to prospective buyers. Consumers now often search for property information through digital channels before deciding to buy.

“We equip our marketing team with various digital tools and AtlasGo’s AI Assistant so that prospective buyers receive clear information about units and their surroundings from the first contact,” Harto said.

According to Harto, data and technology also help sales staff focus more on advising and supporting consumers. Such interaction remains necessary in the property purchasing decision-making process.

AtlasGo said its collaboration with Intiland projects in Surabaya was part of its effort to develop a technology ecosystem for property marketing and sales. The company plans to expand its analysis of consumer behaviour and use of AI to support decision-making and sales team productivity.