How Girl Buys Houses Went from $50K Debt to 5+ Deals a Month with DataFlik

$50K

Сredit card debt reduced to zero in under 6 months

Deals closed consistently every month

$23K–$35K

Average profit per deal

Company Overview

Girl Buys Houses is a real estate investment firm in Reading, Pennsylvania, focused on quickly acquiring off-market properties and reselling them at a profit. Led by veteran investor April Crossley, the team has been in real estate since 2004, cycling through rentals, flips, and more traditional wholesaling. After struggling for two years to maintain profitability and consistent deal flow, April discovered DataFlik’s predictive AI data — and the results have been transformative.

“We were on the brink of shutting down in 2023. Now we’re closing five deals a month—consistently.”

April Crossley

Girl Buys Houses

Main Challenges

Ineffective Data Leading to Unmotivated Sellers
Despite sending tens of thousands of mail pieces, Girl Buys Houses could not generate the quality leads they needed. Many sellers lacked motivation, and the firm found few profitable deals.
Rising Debt & Inconsistent Deal Flow
High marketing spends (direct mail, cold calling, and coaching fees) piled up, driving the company into $50K in credit card debt. Some months saw no closings at all, creating serious cash flow issues.
Wholesaling Restrictions in PA
When Pennsylvania introduced new regulations requiring licensure for wholesaling, the team had to pivot. Simple assignable contracts were no longer a viable strategy, forcing them to purchase properties and list them on the MLS instead—an approach that required even more reliable lead generation.

“People told us it was our sales process or follow-up. But deep down, we knew the real issue was the quality of our data.”

Decision to Use DataFlik

While attending a mastermind, April heard fellow investors raving about their results with DataFlik. Tired of inconsistent data providers, she saw predictive AI data as a potential game-changer.

Word-of-Mouth Referral

A trusted coach recommended DataFlik, citing strong, high-motivation leads in Pennsylvania.

Focus on Quality Over Quantity

Previous list services emphasized big volumes without consistent accuracy. DataFlik’s approach to stack multiple distress indicators sounded like a solution to target truly motivated sellers.

All-In Commitment

After two years of “trial and error” and large debts, Girl Buys Houses decided to go all in on DataFlik’s monthly data—coupled with direct mail and digital retargeting.

“What did we have to lose? We’d already tried everything else. DataFlik was our last big shot—and it paid off.”

Addressing Challenges with DataFlik

Predictive AI Lists & Monthly Updates
With DataFlik, Girl Buys Houses gains access to new, pre-skip-traced records each month, constantly refreshing their leads. They focus on targeted zip codes in Berks County and surrounding areas that match their best profit margins.
Consistent, Varied Direct Mail
The team mails 35,000–45,000 pieces per month on a two-week rotation. They mix postcards, handwritten letters, and “check” mailers to stand out from competitors. Every piece displays their website, reinforcing brand recognition.
Retargeting Campaigns on Facebook
Because DataFlik provides skip-traced emails, Girl Buys Houses uploads them to Facebook for retargeting campaigns. When leads visit the company’s site—even briefly—they’re added to a second retargeting list to remain top of mind.
Streamlined Sales & Follow-Up
With a new acquisitions manager and a dedicated follow-up specialist, Girl Buys Houses ensures every lead is contacted promptly and nurtured until they are ready to sell.

“We use DataFlik for mail and Facebook retargeting. Between multiple mail touches and targeted ads, people see our brand over and over—and they call us.”

Specific Results

From $50K Debt to Profitable in Under 6 Months

In early 2024, the company was $50,000 in debt—by year’s end, they were back in the green with no debt remaining.

5+ Deals Closed Per Month

Girl Buys Houses went from closing about one or two deals per quarter to five (or more) each month, thanks to more motivated sellers and consistent inbound inquiries.

Higher Profit Per Deal

$23K average profit per contract in late 2024
Projected to hit $30K–$35K per deal average in 2025

Quick Closings & MLS Resells

With Pennsylvania wholesaling restrictions, the team now purchases properties, sometimes cleans them out, and immediately lists them on the MLS. This approach has garnered higher sales prices than classic wholesaling.

“We just had a property on 10 acres with major issues. We took a chance, listed it on MLS, and still made $35K in about a month. Deals like that used to be rare—now we’re seeing them frequently.”

$50K

Сredit card debt reduced to zero in under 6 months

Deals Closed Per Month

$23K–$35K

Per Deal average in 2025

Advice for Other Companies

Listen to Your Gut
If you suspect a data problem, don’t let coaching or mastermind chatter discourage you. It pays to test and compare new data sources.
Stay Consistent with Marketing
Girl Buys Houses never stops mailing, even around holidays. Consistency and repeated touches build trust and set you apart in crowded markets.
Use Multiple Touchpoints
Pair your direct mail with retargeting ads or follow-up calls. People need to see your brand multiple times before they reach out.
Refine & Track KPIs
Stay on top of zip codes, property types, and your bottom line. Knowing what’s profitable helps you invest marketing dollars where they really pay off.

“Mail volume alone won’t fix your business. You need consistent follow-up, brand awareness, and—above all—great data.”

Future Plans

Increasing Mail Volume
Girl Buys Houses plans to further scale their monthly mailers beyond the current ~40,000 pieces, confident that DataFlik’s high-quality leads will justify larger budgets.
Stacked Niche Lists
They also intend to add DataFlik’s Stacked Niche Data (e.g., probate, foreclosure) for even more urgent leads they can mail more frequently.
Expanded Digital Retargeting
By boosting their Facebook ad spend and continuously retargeting website visitors, Girl Buys Houses aims to strengthen brand recognition for every dataflick lead.

“We’ll never stop. If we want to keep scaling, DataFlik is staying in our toolbox— it’s proven to be the best data we’ve ever used.”