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My Process

Leveraging advanced analytics, search engine technology, AI, and language psychology, we analyze communication to uncover the hidden psychological drivers that influence decision-making at all levels—whether it’s executives, employees, or customers. This approach allows us to predict business outcomes more accurately than relying on traditional methods.

Step One: Understand why A+ customers, employees & vendors work so well for you.

Enhancing Customer Insight through Data Append

Objective: Deepen the understanding of why customers choose to purchase and re-purchase.
Action: Append the existing customer list with both functional and psychological data points using our technology. This involves analyzing the reasons behind their purchase decisions as well as their discontinuations.
Output: A refined customer database that includes enhanced profiles detailing both functional needs and psychological drivers, providing clearer insights into customer behaviors and preferences.

Step Two: Understand A, B, C, D and F customers, employees, vendors as a whole (Only so you can clearly understand their differences from A)

Data Segmentation and Psychological Profiling

Objective: Segment the customer base into distinct groups based on their psychological characteristics and purchasing behaviors; create the econometrics (or economics of your business model) for each customer type (including how much they cost); quantify each segment from acquisition to lifetime value.
Action: Utilize advanced clustering techniques to categorize customers. This segmentation will help in identifying the motivations behind their decisions and the potential value they bring to the business.
Output: Distinct customer segments each characterized by unique psychological profiles, aiding in targeted marketing and product development strategies.

Step Three: Create A customer, employee and vendor “Look-Alike List” for Total Addressable Market (to find more of your best customers)

Objective: Expand the customer base by ID (name and address, not theory) new people that resemble the best of the existing.
Action: Develop look-alike models that use the defined segments to identify potential new customers who share similar psychological traits and purchasing behaviors. ID by name.
Output: A targeted list of potential customers optimized for engagement based on shared characteristics with high-value existing customers.

Step Four: Tailored Marketing Language and Strategies

Objective: Optimize marketing efforts by tailoring strategies to the unique psychological drivers of each segment.
Action: Revise and create marketing materials that resonate with the psychological factors driving the decisions of each segment, ensuring higher engagement and conversion rates.
Output: Customized marketing materials designed to resonate with specific customer segments, leading to improved marketing effectiveness and customer acquisition.

Step Five: Media Optimization and Performance Measurement

Objective: Improve the effectiveness of media spend by focusing on channels and strategies that yield the best results.
Action: Track and analyze the performance of different media against the segmented customer profiles, adjusting strategies to maximize ROI. (Expectation: 50%+ to 90%+ of your existing media is non-performing. Goal is to remove this media asap; reinvest in the media that does reach your A customer and yields results.)
Output: Optimized media spending that significantly reduces waste and focuses on high-performing channels, with measurable improvements in marketing ROI.

Additional Considerations:

Data Sharing and Collaboration: Discuss and finalize data sharing agreements to ensure a seamless integration of our technology. This includes setting up secure methods for data transfer and establishing clear guidelines on data usage and privacy. I use Signal to transfer data, destroy any copies after processing. All data at rest is stored offline or encrypted.
Performance Metrics and Evaluation: Define clear metrics to evaluate the success of the segmented marketing campaigns and the accuracy of the look-alike models. This will include periodic reviews to refine approaches and strategies based on performance data.

I’m not a consultant.
I help you understand purpose by creating harmonious systems through data, psychology & AI.

I am an abstract mathematician who transforms language into actionable data (computational linguistics). In the past, I’ve built search engines (parts of Google), companies, and business models. In the process I’ve learned that the most successful business models are harmonious in terms of leadership, employees, customers, and product. I help you achieve this through proprietary software that studies psychology at scale, enabling you to focus on the best people for the best outcome.

The results are deliberate growth.

I’ve helped businesses achieve substantial growth over the course of my career.

Here are some of my results:

Oreck: Started at $100 million and grew to $400 million.

Performics: Third place marketing software, stalled; added my technology; sold to Google for $750 million.

Centro: Started with 50 customers; grew to 2500 customers (and turned $50 million in sales to over $600 million.)

Raise: Started at $30 million; grew the company to $400 million.

SpiderOak: Stalled; added the above process; became National Security software.

Vodafone: Started with less than 1% online media spend and grew to 10% online.

Mokrynski: Fixed econometrics of a broken business model so that the business could be sold for a profit, enabling the founder to retire.

Is your business next?

Schedule a call.

About Stealth Dog Labs Technology

At the core of our approach is a revolutionary technology designed to enhance business outcomes by analyzing and leveraging the subconscious traits of consumers, partners and their entire ecosystem. This technology integrates advanced search engine capabilities, artificial intelligence, and psycholinguistic analytics to remotely capture and interpret the subconscious drivers behind consumer (people) behavior. It extends to any word written, such as social, web copy, social media and even financial reporting data. By understanding these drivers, we can predict decision-making processes and tailor business strategies to better meet consumer needs and preferences.

Want to learn more? Read our profile in Forbes.