case study

DataFlik

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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.
DataFlik: Revolutionizing Real Estate Prospecting with Machine Learning
Real Estate in the Digital Era

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.
Challenges of Traditional Prospecting

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.
Introducing Machine Learning to Real Estate

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.
Navigating Data Challenges
Achieving Unparalleled Results

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.
cs-dataflik-Looking Ahead
Dataflik

Dataflik MRR grew 634% to $2.5M In 12 Months

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. .
Dataflik
Dataflik MRR grew 634% to $2.5M In 12 MonthsDataflik MRR grew 634% to $2.5M In 12 Months

Build With

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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.