Unlock Hidden Revenue: The Found Money Matrix Explained

Full video transcript

[Music] The host welcomes viewers to the session, introducing Jordan as the person who can bridge the concepts of found money for the audience, along with a live demonstration.

Jordan gives a quick backstory: he started around 2004–2005 in affiliate marketing and product sales, eventually selling hundreds to over a thousand PDF-course sales a day. He noticed his bank account wasn’t growing in step with sales once ad spend and other costs were factored in, which led him to become obsessed with profit margin — and specifically with “found money” strategies: money sitting in unconverted or underserved parts of an audience. He spent eight to nine years refining this, working as a profit partner for other high-volume businesses and running a coaching group before eventually building an event and product line called Profit Multipliers, which grew out of a small mastermind he runs with Darby called AI Profits Accelerator.

The host asks Jordan to define “bolt-on offers.” Jordan explains that in his online course business, customers buying low-ticket courses on topics like relationship advice or calisthenics often wanted more — one-on-one coaching, supplements, tracking software — creating pent-up demand the business wasn’t serving. A bolt-on plugs in another business’s product to meet that demand, going beyond a simple affiliate link. He describes how his relationship-focused audience eventually hit a revenue ceiling promoting only relationship-related offers, so he began quizzing the audience and identifying other “cohorts” — people also interested in business opportunities, fitness, or debt relief — finding real crossover even though the markets looked unrelated on the surface. He cites research that skin is the first thing a man notices about a woman on a primal level (linked to fertility signaling) as an example of a “bridge concept” he used to craft skincare messaging for the same audience, and a parallel bridge for business-opportunity offers tied to reducing money stress so people can enjoy dating more.

The host connects this to Travis Sego’s “triangle of insight,” asking Jordan to explain it. Jordan says affinity — built through know and trust with an audience — makes any recommendation land better, and the triangle of insight is the best framework he knows for bridging a new topic into an audience. The triangle has three points: the symptom (a visceral pain point, not just the benefit or outcome), the wisdom (the contrast or insight), and the metaphor (the simple analogy that connects the dots — what Travis Sego calls “kitchen table logic”). For the symptom, Jordan gives the “grandpa kiss versus movie star kiss” example from Travis Sego’s relationship-market work, contrasting a vague claim (“losing intimacy”) with a vivid, high-contrast image. For the metaphor, he shares a story about a client selling an erectile-dysfunction offer whose two-and-a-half-page scientific sales letter was condensed to a third of a page once it was reframed around a simple “kinked garden hose” metaphor — and conversions jumped. Jordan adds that pent-up demand isn’t only cross-market; it also runs from low ticket to high ticket, since people who buy low-ticket products often equate a higher price with getting the result faster, and you don’t have to own the audience yourself to profit from spotting these opportunities — you can do it for other businesses for fees or percentage upside.

The conversation transitions into a live demo of the Found Money AI bot, a tool built (using Replit) to unlock hidden revenue and discover untapped markets by identifying customer avatars and generating bridge-concept copy without added ad spend. The presenters walk through the process: enter your name, product information, email, customer service, and website; upload context such as top-performing email subject lines or full swipe files and a product URL, which the tool scrapes for additional context; the AI then performs avatar identification, returning three to five potential customer avatars with demographics, interests, and pain points for the user to review and select. After a short wait, the system emails a report, and a companion ChatGPT instance lets users upload the report and continue refining copy and product ideas. The tool’s landing page was itself built using Gamma, one of the summit’s sponsors.

Jordan supplies a live example: numerologist.com, along with a few swiped email subject lines pulled from an existing swipe file. After entering the URL (correcting it to include “https”), the presenters reach the avatar-selection step and review five generated avatars — for example, Sophia Martinez (28, female, Austin, Texas, interested in spirituality, astrology, and yoga) and James Peterson (interested in leadership and finance, feeling detached from life purpose). The presenters discuss which avatars seem accurate based on their knowledge of the audience (skewing toward the female avatars, since Jordan notes his own Facebook group audience is about 98% female) and select several to proceed, skipping ones that seem off-target.

While the report generates, the presenters take audience questions — including whether to prioritize email conversions or open rates when choosing swipe material (Jordan recommends a mix, leaning toward open rates when conversion data is ambiguous). The completed report arrives by email and includes: the selected avatars with supporting detail; identified downstream markets and segments (for the numerology niche: digital spiritual communities, work-life integration coaching, cultural wisdom retreats, holistic health workshops, and intergenerational community projects); a bridge concept (symptom, wisdom, metaphor) for each segment; ten cold-outreach email templates built on the same framework; and affiliate offer ideas with descriptions, which may or may not be real, working offers. Jordan notes the report would otherwise take about three hours of manual research to assemble.

The presenters then demonstrate feeding the generated report into Perplexity Pro to search for real affiliate partners and sources — surfacing results like spiritual community platforms and a “Clever Fox” self-care journal that could work as an Amazon affiliate product. They note that a link initially shown in the demo wasn’t actually a working offer, illustrating that AI-suggested links and offers should be verified rather than assumed.

Closing the demo, Jordan adds that the tool is bidirectional: it can also help someone with a high-ticket offer find lead flow by identifying where to plug into other audiences’ traffic. He mentions the team (himself, Darby, and Chris) is developing additional bots for the same toolkit, including one designed to flag when people in low-ticket audiences are ready for a high-ticket offer. An audience member suggests adding a “partnership proposal generator” feature to help formalize shared-promotion deals between offer owners, which Jordan calls a great idea.

The session wraps with audience reactions (positive feedback in the chat) and Jordan sharing where people can connect with him — the Rising Tide Collective, a mastermind he runs with Darby and Chris focused on found-money and cross-pollination opportunities between businesses. The hosts thank Jordan for joining and close out the workshop before moving to the next session.