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Company Overview

Express Property Solutions specializes in real estate wholesaling, fix-and-flip, and buy-and-hold properties across Cook County, Illinois. Melissa Johnson, who joined the team two years ago and brought over 20 years of industry experience, quickly realized that their data-driven processes needed refinement. Their approach relied heavily on direct mail and cold calling, which, without accurate data, led to high costs and limited success. In a market as large as Chicago, targeting the right leads was essential to scaling effectively while controlling costs.

Determined to make data-driven decisions to increase their efficiency and return on marketing spend, Melissa’s team sought a data partner who could deliver accurate, actionable insights.

Main Challenges

Before adopting DataFlik, Express Property Solutions faced three main challenges that hampered their growth:

1. Poor Data Quality
   Their previous data provider delivered inaccurate data, leading to a high volume of returned mail and unqualified leads. This wasted resources and prevented effective outreach.
2. High Marketing Costs
   Direct mail campaigns were costing tens of thousands of dollars, with a large portion of mail returned due to incorrect addresses, further reducing ROI.
3. Inefficient Lead Generation
   Cold calling and direct mail, without targeted data, produced low conversion rates. The lack of high-quality leads made it difficult to justify the marketing spend.

In 2022, the company’s direct mail efforts became unsustainable, and they paused direct mail for nearly a year. This decision highlighted the need for a new data provider who could offer precise, reliable data to guide their outreach efforts and maximize marketing returns.

Decision to Use DataFlik

Melissa first learned about DataFlik through her network in the real estate industry. As the team considered reintroducing direct mail, they explored options for a data provider who could meet their accuracy standards and provide ongoing support.

After an initial conversation with DataFlik, Melissa decided to make the switch, drawn by DataFlik’s reputation for accuracy and the company’s proactive customer support. The predictive data capabilities of DataFlik’s tools promised to streamline their marketing spend, improve lead quality, and eliminate the wasted resources that had plagued previous campaigns.

Addressing Challenges with DataFlik

Once integrated into their marketing processes, DataFlik’s predictive tools immediately improved data quality and lead management. The data-driven approach allowed Express Property Solutions to:

• Optimize Lead Lists
  DataFlik’s regular updates ensured that Express Property Solutions reached current property owners, significantly reducing the return mail rate.
• Refine Cold Calling Strategy
  Using a highly targeted list from DataFlik, the cold calling team generated 136 leads in a few months, of which 95% were qualified, resulting in more productive calls and more contracts.
• Enhance Direct Mail Efficiency
  Starting their direct mail campaigns in June 2023, Express Property Solutions sent over 82,000 mail pieces, with a return mail rate of under 1%—a substantial improvement from previous campaigns.
• 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.

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:

• With DataFlik, the team achieved an impressive 6X return on investment in their marketing efforts and went “in the black” within the first quarter. DataFlik’s accurate targeting not only paid for itself but also helped the company increase revenue and significantly reduce wasted spending.
• In just three months (July to September 2023), Express Property Solutions generated 136 leads through cold calling, with a remarkable 95% qualification rate. This led to four new contracts – all from cold calling alone, a significant boost over previous efforts.
• DataFlik’s predictive targeting enabled Express Property Solutions to close quick-turn deals, including a $25,000 profit on a contract closed just seven days after the initial cold call. Another deal sourced through direct mail generated a $45,000 profit, underscoring the high value of DataFlik’s targeting.
• Between June and September, DataFlik-powered direct mail campaigns helped the team secure six deals, with less than 1% return mail rate. Compared to previous campaigns, this efficiency cut costs and maximized their reach.

Advice for Other Companies

Melissa Johnson encourages other real estate businesses to embrace data-driven decision-making and consistently track their marketing metrics.

Melissa emphasized that the initial cost is well worth the return for companies that may hesitate to invest in high-quality data, especially considering the potential savings from reducing wasted marketing efforts.

Future Plans

Looking forward, Express Property Solutions plans to expand its reach beyond Cook County into surrounding markets. Melissa's team is preparing for continued growth with plans to refine their buyer’s list further and implement new marketing strategies based on DataFlik’s data insights.

With DataFlik as a core part of their operation, Express Property Solutions is positioned to scale its business intelligently and sustainably. As Melissa put it:

Company overview

This Oklahoma-based real estate wholesaler has grown into one of the market's largest players, specializing in wholesaling, flipping, and whoteling across Oklahoma City and Tulsa. With 65% of their business coming from wholesaling, they had a strong foundation. But as they expanded, they realized they were spending too much on unfocused marketing and missing opportunities to connect with truly qualified leads. 

They needed a more precise approach to reduce costs and boost results.

Main challenges

Before working with DataFlik, the company used traditional lead generation channels like direct mail. But this approach was too broad and unfocused. They had the capital to invest, but targeting the general population meant higher costs and missed opportunities to connect with truly motivated sellers. They were finding deals, but the strategy wasn’t sustainable.

Decision to use DataFlik

It was a critical moment — replacing a broad marketing strategy with one built on DataFlik’s predictive tools. Their decision to switch to DataFlik came after months of advice from the Results-Driven business community:

Addressing challenges with DataFlik

Once Ogle Property Solutions integrated DataFlik into their operations, the shift was dramatic. Instead of casting a wide net, they now focused their marketing efforts on distressed and highly motivated sellers — those most likely to sell and with the highest probability of closing a deal. 

DataFlik turned their previously messy, expensive process into something they could finally control. They didn’t have to rely on luck anymore, as each campaign now targeted the right sellers.

DataFlik’s Market Map feature played a key role in this process. It gave them all the data they needed at their fingertips, but in a user-friendly way:

Specific results

The results were immediate and substantial. Since adopting DataFlik, the company has closed 30 deals this year alone, with several others still in the pipeline. They are nearing a 3x ROI, with projections to reach a 4x return by year’s end. And their marketing spend is now more efficient, with each dollar going further due to the improved quality of leads.

Advice for other companies

For any company still on the fence about predictive data, Ogle Property Solutions' advice is simple: Don’t wait. 

Now they believe that anyone serious about real estate investing needs to prioritize precision over volume:

Future plans

With their local market dialed in, Ogle Property Solutions is now preparing for the next phase of growth — expanding into new markets. They plan to leverage DataFlik’s predictive tools to evaluate and identify high-potential regions as they scale their operations beyond Oklahoma.

Company Overview

Uncommon Financial Solutions is a Georgia-based real estate operation led by Andre Carvalho. The company started with a lean, sales-focused model, specializing in novations and wholesaling. Looking to simplify how they acquire and act on high-quality leads, Andre discovered DataFlik’s predictive AI data through a trusted mentor—and has never looked back.

Main Challenges

• Tedious data management
  Before DataFlik, Andre used several “generic” data providers like Propstream and direct county records. Endless list pulling and manual “list stacking” consumed far too much time.
• Lack of precision
  With multiple lists and inconsistent skip tracing, the team often ended up mailing or calling the wrong people—leading to wasted marketing dollars and subpar results.
• Limited bandwidth
  As a smaller operation, Uncommon Financial Solutions needed to outsource much of their marketing. They couldn’t afford to juggle multiple data sources and manual processes while still focusing on core sales activity.

Decision to Use DataFlik

Andre’s mentor recommended DataFlik for its comprehensive, AI-driven lead lists—complete with skip tracing and stacked distress data. Seeing an opportunity to drastically reduce busywork, Andre signed on and quickly integrated DataFlik’s monthly data deliveries into their cold calling and direct mail campaigns.

Addressing Challenges with DataFlik

• AI-Scored Lists
  Andre’s team receives a single, consolidated list each month, with every record pre-skip-traced and ranked by DataFlik’s proprietary AI “investor score.”
• Instant List Stacking
  With up to 32 distinct distress indicators built in, they can easily sort by probate, foreclosure, vacant, or other flags—no more manual “list stacking.”
• Focus on Sales
  Andre sends the entire list to his cold-calling and direct mail vendors. Because they’re only working high-quality, high-distress records, the calls connect at a higher rate and direct mail returns fewer undeliverable pieces.

Specific Results

10–15 Deals Monthly
With reliable marketing driven by DataFlik, Uncommon Financial Solutions has scaled to double-digit deals every month—often a mix of novations and traditional wholesales.

6x ROI on Cold Calling & Mail
Whether it’s postcards or call campaigns, they consistently see 6x returns on marketing dollars spent.

Reduced Workload
By eliminating multiple data subscriptions, skip tracing vendors, and endless spreadsheet merges, Andre’s team freed up time to concentrate on closing deals.

Growing into New Markets
Impressed by consistent ROI in southern Georgia, Andre recently added three more Georgia counties to their DataFlik buy box, confident they can replicate success in broader territories.

Advice for Other Companies

• Leverage Strong Vendors
  “If you’re smaller, outsource what you can. Focus on sales, and let a reliable data partner handle the heavy lifting.”
• Use AI Distress Scores
  “Mail your highest investor scores first. DataFlik’s columns make it easy to sort the top 5–10K leads by your budget.”
• Double Down on What Works
  “Once you see solid returns in three to six months, put more gas on the fire. Know your metrics, and scale the channels with the best ROI.”

Future Plans

Over the next year, Uncommon Financial Solutions aims to ramp up direct mail budgets and keep expanding to new Georgia markets—fueled by DataFlik’s predictive data sets. By continuing to partner with specialized vendors, Andre’s team can stay laser-focused on closings and sales.

Company overview

Greg Helbeck founded Velocity House Buyers in 2017 with one mission: to help homeowners sell their properties quickly and with transparency. Since then, Greg has bought over 215 properties and built a strong reputation in the Hudson Valley and Westchester area. Like many in real estate, Greg faced the challenge of finding motivated sellers. His team needed a smarter, more targeted way to reach them, which led him to DataFlik.

Greg Helbeck has spent nearly a decade in real estate, specializing in direct-to-seller strategies. 

After launching Velocity House Buyers in New York, Greg expanded the company’s reach to Seattle and Delaware, helping homeowners sell their properties quickly and stress-free. 

Today, Velocity House Buyers stands out by emphasizing transparency and providing cash deals without the hassle of agents, fees, or drawn-out processes. For Greg, this business about more than just buying houses — it’s about helping people navigate challenging situations with integrity and speed:

Main marketing channel

Initially, Greg relied on pay-per-click advertising, but it didn’t perform well in his market. After seeing the ROI drop, he shifted to direct mail, which has since become the backbone of Velocity House Buyers’ marketing — now accounting for 70% of their efforts.

Greg favors direct mail for the control and precision it offers, as it allows him to connect directly with motivated sellers and achieve better results.

Decision to use DataFlik

Greg first learned about DataFlik through peers and industry podcasts. When he decided to invest, he found integrating DataFlik’s data into his marketing campaigns to be straightforward. The pre-formatted lists made it especially easy to boost his direct mail and cold calling efforts.

Direct mail volume

Greg’s team mails to around 11,000 people in one county, consistently closing 1-2 deals per mail-out. Despite the challenges of operating in the competitive New York market, they’ve been able to maintain steady results by leveraging DataFlik’s tools.

Examples of deals closed

One of the standout deals Greg closed using DataFlik was a pre-foreclosure property that earned him a $33K assignment fee. Another notable deal involved acquiring multiple condos at a steep discount, each packed with significant equity.

Advice for others

Greg found the transition to DataFlik seamless. Now he encourages other real estate professionals to invest in a long-term strategy and maximize their profits by carefully tracking their results:

Future plans

Looking ahead, Greg wants to grow Velocity House Buyers’ presence in their current markets by fine-tuning their strategies and boosting profits. The team is also working on expanding their portfolio by picking up more rental properties, which they see as a smart move for long-term retirement security.

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.

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.

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.

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.

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:

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:

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.

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.

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.

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.

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.

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.

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.

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.