DataFlik: Revolutionizing Real Estate Prospecting with Machine Learning
In the fast-paced world of real estate, identifying motivated sellers efficiently can make or break a business. DataFlik recognized this challenge and partnered with NineTwoThree to pioneer a solution. This case study dives into their journey and highlights how machine learning can be used for prospecting properties.
Real Estate in the Digital Era
The real estate landscape has undergone a significant digital transformation with Property Tech (PropTech) innovations reshaping traditional practices. Amidst this evolution DataFlik seized the opportunity to leverage machine learning, propelling real estate prospecting into the future.
Challenges of Traditional Prospecting
Traditional methods of lead generation often yield low conversion rates and high expenses. Human analysis of historical data results in broad lists with minimal success. DataFlik aimed to disrupt this pattern by harnessing machine learning to predict motivated sellers accurately.
Introducing Machine Learning to Real Estate
DataFlik's vision involved harnessing machine learning to generate precise lists of potential sellers, a task that traditionally relied on human intuition. By automating the process and analyzing vast datasets DataFlik sought to deliver invaluable insights to real estate wholesalers.
Navigating Data Challenges
One of the initial hurdles DataFlik faced was justifying the expense of acquiring real estate data necessary for their model. With NineTwoThree's expertise they embarked on building a proof-of-concept model demonstrating the efficacy of machine learning in prospecting.
Achieving Unparalleled Results
DataFlik's AI-powered models surpassed traditional seller lists offering clients a remarkable eight-fold increase in ROI. With a growth rate of 634% in monthly recurring revenue DataFlik's success story exemplifies the impact of machine learning in real estate.
Looking Ahead
Buoyed by their success DataFlik sets its sights on further innovation and expansion. DataFlik is positioned to redefine real estate prospecting for years to come with new products on the horizon and a growing team.
By embracing machine learning, DataFlik and NineTwoThree have disrupted real estate prospecting and set a new standard for innovation in the industry.
Predicting Houses For Sale With 85% Accuracy
Dataflik helps real estate investors improve their business marketing operations. NineTwoThree built the machine learning model that predicts which houses in America will be listed for sale with 74% accuracy.
NineTwoThree is a leading provider of AI application development services, having pioneered innovative solutions since 2016. With expertise in retrieval-augmented generation (RAG) and generative AI, we have successfully developed seven groundbreaking applications. Our deep understanding of these technologies enables us to deliver solutions that tackle real-world problems effectively.
