How Homerun Home Solutions Boosted Consistency & Returns with DataFlik

Return on Ad Spend (ROAS) for mail campaigns

Deals closed or in the pipeline from DataFlik’s data in 10 months

$2,894

Cost per contract on mail (excluding data fees)

Company Overview

Homerun Home Solutions is a real estate investment firm in Pennsylvania’s Lehigh Valley, just an hour from Philadelphia and near New York City. Jason Reynolds started with rentals and then expanded into flipping and wholesaling. Despite doing well in 2023, he lacked month-to-month consistency—sporadic closings made it tough to plan and scale.

Looking for a more reliable deal flow, Jason decided to invest in better data for direct mail. That’s when he discovered DataFlik.

“I wanted more consistency so I could build a real team. Flips alone weren’t cutting it. We needed a more predictable approach to lead generation and decided to scale up our mail campaigns.”

Jason Reynolds

Owner & Operator

Main Challenges

Unreliable data sources
Jason was using traditional providers for absentee and niche lists. While smaller courthouse lists gave some traction, they weren’t large enough to achieve his deal-flow goals.
High marketing costs without tracking
Before 2024, Jason did little to track ROI on cold calling and other outbound methods. He knew he was spending money but had no metrics to prove which campaigns worked.
Inconsistent deal flow
Flips brought solid profits, but closings were scattered—sometimes going months without a single deal. Jason wanted steady monthly deals to stabilize cash flow and justify hiring more staff.

“We were mailing niche lists—like courthouse data—but it wasn’t enough volume to produce the consistent results I needed. I knew I wanted to scale marketing and do bigger campaigns.”

Decision to Use DataFlik

In January 2024, Jason committed to a more inbound-heavy strategy. He found DataFlik through a fellow investor, who was achieving strong results from DataFlik’s direct mail lists. Jason saw how DataFlik’s predictive data could deliver larger, more precise mailing lists—perfect for sustaining an expanded budget without sacrificing lead quality.

“I knew I needed more volume than my small lists. But I didn’t want to mail big, generic lists from Batch. With DataFlik, we got specialized, highly-targeted data—and it’s paid off.”

Addressing Challenges with DataFlik

DataFlik’s predictive AI data gave Homerun Home Solutions exactly what they needed:

High-quality, targeted lists
DataFlik focuses on stacking multiple distress indicators and removing unqualified properties so Jason can mail only the most promising leads.
Immediate scalability
With a reliable data partner, Homerun Home Solutions upped their mail spend to around $6,000/month initially—and grew from there as deals began to close.
Better tracking & ROI visibility
Jason started tagging every mailing list to see which provider brought in each call. Real-time metrics let him see DataFlik’s results immediately—giving him the confidence to invest more.
Personalize Campaigns
By segmenting lists according to distress indicators, neighborhood data, and buyer interests, the team tailored each outreach campaign to resonate with potential sellers, boosting engagement and conversion.

“I’m a numbers guy. With DataFlik, we track each month’s results. If one list returns 6x while another returns 2x, we obviously put more budget into the 6x list.”

Specific Results

The results of using DataFlik’s predictive data tools were both immediate and transformative for Express Property Solutions. Since adopting DataFlik, they achieved the following:

Higher ROAS
Since January 2024, Homerun Home Solutions spent $66,554 on mail using DataFlik data. They’ve booked 23 deals (closed or pending), driving a 6x return on ad spend.
Lower cost per contract
With DataFlik’s precise targeting, Jason’s cost per contract is $2,894 – just on the mail spend alone.
$397K projected revenue
These 23 DataFlik deals are projected to generate nearly $400,000 in total revenue – far outpacing what Jason had done with traditional lists.
Consistent deal flow
The biggest transformation: no more feast-or-famine months. That predictability allows Jason to grow his team, ramp up marketing, and confidently reinvest in his business.

“It took a few months to see returns on mail—but once we locked in our first deal, we made around $50K on a quick flip. After that, the pipeline just got stronger and stronger.”

Return on ad spend

Deals closed or in the pipeline from DataFlik’s data in 10 months

$2,894

Cost per contract

Advice for Other Companies

Jason’s top tip is simple: Track everything.

He also stresses consistency. Direct mail can take time to convert, so budget for multiple months and trust the process once the numbers start rolling in.

“We wouldn’t be seeing these results if we weren’t measuring them. We know DataFlik’s leads outperform everything else—and can double down without guessing.”

Future Plans

Homerun Home Solutions plans to double down on DataFlik for direct mail, adding additional marketing channels later for further diversification. With monthly deal flow stabilized, the company is hiring more staff and looking to expand into new opportunities like pay-per-lead marketing—while still relying on DataFlik to drive the bulk of inbound deals.

“We’ll keep scaling. As long as DataFlik’s data delivers that 6x return, there’s no reason to stop. Our next step is layering in more channels for even better coverage.”

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Express Property Solutions, a real estate investment company based in Chicago, faced significant challenges with poor-quality data and inefficient lead generation tactics. Traditional methods, including using generic lists and direct mail campaigns, were draining resources without providing meaningful returns. COO Melissa Johnson, a real estate veteran, recognized that to achieve sustainable growth, they needed a new approach. In 2023, Express Property Solutions partnered with DataFlik and implemented its predictive data tools—a change that would prove transformative for their business.