The $110,000 Dollar Pattern That Exposed a Multi State Fraud Scheme
Entrepreneurs expect competition. They do not expect a coordinated $110,000 fraud ring to target them and their business partners across the country. Yet this is exactly what Tennessee entrepreneur and ALTRD CEO David Lee Saylor faced while building his newest nicotine brand to compete with giants like ZYN and VELO.
The numbers were impossible to ignore. Saylor lost $20,000 in stolen product. A California partner lost $30,000. An Illinois contact lost $60,000. The total network damage reached $110,000, revealing a clear and calculated pattern aimed at operators in the nicotine and CBD industries.
What makes this situation remarkable is not the loss itself but how Saylor responded. Instead of accepting defeat, he built a fraud recovery strategy while simultaneously launching ALTRD Nicotine and managing CBD Plus USA locations.
How David Lee Saylor Built a Five Step Fraud Recovery System
What followed became a blueprint in entrepreneurship business betrayal prevention. Saylor broke down his process into a structured series of steps designed to turn victims into informed decision makers.
Step 1: Acknowledge What Happened
Saylor refused to minimize the financial and emotional impact. By addressing the loss openly on his podcast, he created the clarity needed to move forward and investigate the pattern.
Step 2: Identify the Consistent Blueprint
By speaking with other victims, Saylor mapped out the individual’s predictable behavior. The person targeted nicotine and CBD entrepreneurs, convinced them to ship product first, then disappeared without payment. Each incident followed the same sequence, revealing a repeatable system of deception.
Step 3: Leverage Expertise Through Strategic Alliances
Saylor partnered with a North Carolina detective and a bondsman with experience in locating individuals across state lines. Rather than acting alone, he relied on specialists who understood how to build a case and gather evidence.
Step 4: Create a Digital Trail
One of the most effective tactics was the use of an AirTag hidden inside a package. This allowed the team to track the exact location of the individual and create verifiable proof for authorities. A $29 device became the key to uncovering a complex scheme.
Step 5: Coordinate Action Across All Victims
Once Saylor united partners from California, Illinois, and North Carolina, the issue escalated from an isolated civil complaint to a multi state case. Collective documentation increased the seriousness of the investigation and strengthened the potential for prosecution.
Navigating Family Business Challenges During the Investigation
Saylor was not only dealing with financial loss but also the complexities of running a family business. Tensions around authority, responsibility, and communication surfaced in real time during podcast recordings. Yet his approach remained consistent. He addressed issues directly, defined roles clearly, and kept everyone aligned with the mission of protecting the company.
Building ALTRD Nicotine While Fighting Fraud
What makes this story extraordinary is the timing. While uncovering a fraud ring, Saylor was also executing a major product launch. He managed negotiations, oversaw operations, and continued building the ALTRD brand without pausing momentum. This reflected a mindset rooted in resilience and focus.
Lessons Entrepreneurs Can Apply Today
Saylor’s experience delivers actionable insights for business owners. Require payment before shipment. Verify every new partner. Document every transaction. Build networks that communicate about potential risks. Partner with experts when needed. Most importantly, view setbacks as data, not defeat.
Authenticity as a Competitive Advantage
Unlike many entrepreneurs who hide failures, Saylor shared this experience openly through the Saylor Made Podcast. His transparency has strengthened trust with his audience and positioned him as a voice of authenticity in the business world. By revealing the realities of entrepreneurship, he turns challenges into community learning moments.
