The 5X lead generation strategy that transformed iBuy Central Valley

ROI after adopting predictive data tools

5-8

Closed deals per month

$5,000

Reduced cost per deal

Join Rami Eid, Co-Founder of DataFlik, and Aman Khinda, Head of Operations at iBuy Central Valley, as they discuss how the company revamped its lead generation strategy, achieving a cost per deal below $5,000 and a 5X ROI.

Company overview

iBuy Central Valley was founded in 2019 by two brothers, Aman and PJ Khinda. Operating in California, the business initially relied on realtor connections as the primary source for deals. But as they grew, they hit a wall — traditional methods like cold calling and outdated lead lists no longer worked. That’s when they made the switch to DataFlik’s predictive tools.

Aman Khinda and his partner, PJ, run operations and marketing for iBuy Central Valley. In the beginning of their journey in 2019, they relied on realtor connections to find deals. But as the business grew, they shifted to larger lead lists and traditional cold calling — a strategy that soon proved to be both inefficient and costly.

“At first, we were getting deals through realtor connections, and when we expanded, we started cold calling with large lists. But we spent about $35-40K on cold calling and barely got two deals from it.”

Aman Khinda

Head of Operations and Marketing

Main challenges

iBuy Central Valley struggled with poor-quality data from traditional providers, which resulted only in wasted marketing dollars and low returns. Cold calling, in particular, didn’t work well in their crowded California market compared to other regions.

The data problems were significant—many calls reached the wrong contacts, and the large lists yielded little value. Realizing the need for a more effective approach, the founders shifted to predictive data and direct mail, which allowed them to target prospects more precisely and reduce costs.

“The quality of the data we were getting was not good. People would say, ‘This isn’t me,’ or ‘I don’t know who you’re calling.’ Cold calling just wasn’t effective for us, especially in California.”

Decision to use DataFlik

After joining a mastermind group led by Tiffany and Josh High, Aman and his team learned about DataFlik. Though initially hesitant due to the higher cost, they took the leap and shifted to a predictive data-driven approach. Looking back, they now consider it their best decision.

“It was a gamble moving from cheap cold calling to predictive data, but it was probably the best decision we ever made.”

Addressing challenges with DataFlik

The transition to predictive AI data wasn't as smooth as it could be. Managing data with limited resources was initially tricky for Aman's growing team.

However, with the right guidance and dedicated support from DataFlik, Aman and PJ were able to optimize their marketing efforts and effectively target the right sellers.

“Data management was tough at first since it was just me and my partner. But the support from DataFlik helped us overcome that, giving us insights into which markets made sense and ensuring we were making the right investments.”

Specific results

Since switching to DataFlik, iBuy Central Valley has significantly improved its performance. The average contract size is $32,000 and the ROI is around 5X, but that is certainly not the limit:

“We’re closing five to eight deals a month now, with a cost per deal under $5,000. Our ROI is hovering at 5X, compared to 1 to 2X before.”

ROI

5-8

Closed deals a month

$5,000

Cost per deal under

Advice for other companies

When asked about helpful advice to other companies, Aman stresses the importance of patience and consistency when using predictive data. He believes that consistent results can only come in the long term, but that is certainly worth the effort:

“You have to consistently market month after month. It’s not going to happen in just one month, but if you stay committed, the deals will start rolling in regularly.”

Future plans

Looking ahead, iBuy Central Valley aims to double or triple its direct mail campaigns and expand into new markets. With DataFlik’s tools, Aman’s team feels confident they will hit their growth targets for the upcoming year and beyond.

“We’re looking to double or triple down on direct mail and expand into new markets. DataFlik gives us the data we need to take that next step.”

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