How personalised real estate mobile apps help customers take better decisions

Neeraj Chaturvedi, Group CMO, Housing.com, PropTiger.com and Makaan.com, makes a case for personalised real estate mobile applications which can help brands provide the right technology to property buyers to assist them in buying a product of his/ her choice by understanding precisely what they want.  

The world of Internet is like those dense forests where an adventurous wanderer is quite susceptible to losing his track. That being online is the future is a well-known fact. Everybody is keen to make the most of the opportunity that the internet provides in shaping and growing businesses. In real estate, most property searches are done online, and over 50 per cent of the searches are on mobile devices now. Furthermore, 73 per cent of people using mobile phones for real estate research do it through an app. 

Little wonder then that a property buyer who tries to search for a home online is flooded with information to the extent that he might start getting irritated. This irritation would turn into annoyance when this buyer finds that a great deal of this information is irrelevant. This buyer came online to take a more informed decision without having to break a sweat; he now feels nothing but disappointed. This is where personalised real estate mobile applications come into the picture. 

As a brand, you bring your customer closer to you when you come up with the right technology to assist them to buy a product of his/ her choice by understanding precisely what they want.  

This is easier said than done. A great deal of time, energy, innovation and data crunching is needed to achieve this goal. Personalised apps learn from the user’s behaviour on property sites and the app. It remembers the types of properties, location and budget a user has shown interest and all further recommendations are basis this input. 

The home screen, custom filters, notification and recommendations continuously get updated with each action of the user. The app keeps learning from the user behaviour and tries to suggest properties close to the requirements. Personalised apps also learn from the behaviour of other users who may be looking for similar properties and have similar requirements. 

Through personalised apps, a consumer gets a chance to click precisely on what he likes, ducking all sorts of robotic responses coming his way. They would be able to finalise a deal much quicker and know who exactly they have to thank for it.