Profits Engine
Michael Devlin, a 39-year-old Scottish entrepreneur, had already built a physical product business from zero to seven figures in 24 months. Rather than stop there, he identified a market gap: entrepreneurs wanted to find winning products to sell on Amazon but lacked reliable data and education. This inspired him to create Profits Engine—a platform combining proprietary algorithm-driven product discovery with comprehensive training.
Devlin built Profits Engine from scratch as a software platform designed to reverse-engineer Amazon's best-selling products. The core innovation was an algorithm that analyzed transactional data extracted from Amazon Seller Central accounts. By November 2015, he had accumulated approximately 8.5 million pounds sterling worth of transactional data points from Amazon.co.uk and 16.5 million data points from Amazon.com. The algorithm was tested against 104 students' actual sales data and achieved approximately 96% accuracy (±$4,000-$4,500 on $91,000 in 30-day sales). The platform bundled this software with a free e-commerce website builder (valued at $1,500) and video training courses.
Devlin leveraged his existing presence to fill a webinar. With 10.5k LinkedIn followers built from his previous success, he extracted his connections' email addresses using LinkedIn's contact data sharing and sent them invitations to a free webinar. This generated 1,200-1,500 registrations, with approximately 540 people attending live. During the webinar, he pitched the Amazoners Academy course with a 50% discount ($997 vs. full price $1,900) plus three months free access to Profits Engine. The offer converted 104 attendees to paying customers—roughly 8.6% of attendees and 19% of registrations.
The webinar funnel worked exceptionally well, generating approximately $110,000 in upfront course revenue. After enrollment, 25 of the 104 students upgraded to the elite Profits Engine subscription ($199/month or $249/month in GBP), with 23 choosing the annual prepay option (50% discount). This created a tiered revenue model: front-end course sales plus recurring software subscriptions. Devlin acknowledged the algorithm wasn't perfect—it was an estimate based on historical data—but defended its utility as a product-sourcing tool. His strategy combined the high-margin dopamine hit of front-end webinar sales with recurring revenue from the software tier, though he recognized this hybrid model wouldn't command the valuation multiples of pure SaaS plays.
By late 2015, Profits Engine was in its launch month, with 104 students actively enrolled and a core group paying recurring subscriptions. Devlin planned to expand beyond Amazon into Pinterest, Twitter, Facebook, Instagram, and YouTube—positioning the tools and education as an omnichannel suite for physical product sellers. He envisioned eventually separating the product finder tool into a standalone software product and scaling the platform to reach "clever marketers" across multiple channels. The company was generating revenue but remained early-stage, with the founder balancing the tactical win of near-term webinar revenue against the longer-term vision of building a defensible, high-valuation software business.
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