Pulse
Joe Coll started his entrepreneurial journey at just 16, launching his first agency with a business partner. After three years, unsatisfied with the direction, he shut it down and started fresh at 19 with Oncore, his current marketing agency. Building a full-service creative powerhouse—handling paid ads, video production, animation, photography, and branding—Oncore grew rapidly, hitting over £1M in annual revenue with 25 full-time employees. But despite his success helping clients spend money on ads, Joe noticed a persistent problem: nobody could predict which creatives would actually perform before launching them. Brands and agencies were essentially throwing darts, hoping their ads would land.
In June 2020, Joe decided to systematize the creative prediction problem into a SaaS platform called Pulse. Rather than rely on external investors, he bet on himself, investing over £1.48 million of his own capital earned from the agency. The technology stack was ambitious: machine learning, computer vision, quantum computation elements, and natural language processing ("NLP on steroids," as Joe described it). The core innovation was analyzing hundreds of variables—hue, saturation, luminance, object identification, written copy sentiment—against petabytes of historical engagement data to predict how audiences would emotionally respond to content with 97% accuracy. By January 2022, Joe had assembled a 15-person team, including 7 full-time engineers, grinding away on a complex backend capable of handling massive data flows.
Joe's existing network in the agency world became his distribution advantage. He leveraged his connections through Oncore to get 50 beta users with early platform access, all drawn from the marketing and advertising agency space he already knew intimately. Rather than cold-pitching, his reputation as a successful agency owner gave him credibility, and word-of-mouth from other agencies created inbound interest. He priced strategically based on competitor analysis (noting that similar products like Talkwalker charge £6k/year) and his confidence that Pulse was substantially better. The pricing ranged from £500/month for smaller agencies to £5,500/month for larger operations, with a sweet spot around £2,000-£2,500 for mid-market agencies.
Joe's decision to stay deeply connected to his agency while building Pulse worked in his favor—not against it. Rather than forcing a choice between the two businesses, he recognized that every agency client who adopted Pulse created a higher net dollar retention because the agency helped them implement and optimize. He also didn't over-raise early; he took just £150k from strategic private investors while funding the rest himself, maintaining 95%+ equity. However, he kept quiet about a major strategic move happening in January, hinting that something "very significant" was about to reshape how the agency and Pulse related to each other—suggesting he was solving the distribution/SaaS tension in a novel way.
By early 2022, Pulse was poised for launch with 50 beta customers ready to convert to paid plans. Joe planned to run a live beta phase for a few months before raising a Series A round. The machine learning model had reached 97% accuracy on predicting emotional responses and engagement outcomes. With 100+ agencies lined up to adopt the platform on day one of revenue launch, and pricing validated against competitor benchmarks, Pulse was ready to transform how creative teams approached ad testing. Meanwhile, Oncore continued scaling rapidly with plans to expand beyond 25 full-time employees, and Joe—despite working four to six hours of sleep on weekdays—remained laser-focused on building something that could systematize the creative prediction problem for the entire industry.
- •Joe solved a pain point he experienced firsthand across his entire existing customer base, giving him immediate credibility and product-market fit validation within a warm network rather than requiring cold outreach.
- •By maintaining ownership of both his agency and SaaS product, he created a virtuous loop where agency implementations of Pulse drove adoption and retention, turning his existing business into a distribution channel and proof-of-concept engine.
- •His self-funding approach of £1.48M preserved equity control and decision-making autonomy, allowing him to build an ambitious technical solution with 7 engineers without pressure to compromise on the complex ML/CV architecture required to achieve 97% prediction accuracy.
- •Word-of-mouth growth emerged organically from his established reputation as a successful agency owner, eliminating the cold-start problem and giving early customers inherent trust in both the product and its creator.
- 1.Start by identifying a concrete problem you experience repeatedly within your own profitable business, then validate that the problem exists across your existing customer relationships before building the SaaS product.
- 2.Maintain your current revenue-generating business as a distribution and testing ground for your SaaS instead of choosing between them, using your existing customers as beta users and references to drive inbound word-of-mouth.
- 3.Self-fund the initial build phase with your own capital to preserve equity and decision-making control, hiring deep technical talent (engineers, ML specialists) needed for your core innovation rather than raising early external funding.
- 4.Price your SaaS based on competitive analysis within your industry vertical while anchoring to the economic value your solution delivers, positioning it in the mid-market price range where early adopters can afford meaningful usage without being cost-prohibitive.
Similar Companies
247.ai
$25.0M/mo247.ai, founded by PV Cannon in 2000, is an AI-powered customer service automation platform serving over 150 enterprise customers with $300M+ in ARR. The company raised only $20M from Sequoia (2003) and bootstrap, achieving 10% net profit margins while maintaining a 12-month CAC payback period and 100% net revenue retention. Despite a security breach setback around 2018, 247.ai has recovered and recently achieved 20% new revenue booking growth in their best quarter.
iCIMS
$13.3M/moiCIMS is a bootstrapped SaaS provider founded in 1999 that dominates the talent acquisition software market as the #2 player, serving 3,500 enterprise customers with an average monthly spend of $4,000. The company exited 2017 with $160M ARR and is targeting 25%+ annual growth while maintaining profitability, recently acquiring Text Recruit to expand into candidate messaging and recruitment advertising.
Zoom
$12.0M/moZoom is a freemium SaaS video conferencing platform founded by Eric Yuan in July 2011 after he left Cisco to build a next-generation collaboration solution. The company has grown to 850,000+ paying customers across individual, SMB, and enterprise segments, generating over $12M in monthly recurring revenue with approximately 100% year-over-year growth. Rather than focusing on customer stickiness or aggressive growth targets, Zoom emphasizes customer happiness and organic word-of-mouth acquisition, which has proven highly effective in driving viral adoption.
Madwire
$10.0M/moMadwire is a comprehensive SaaS platform for small businesses (1-100 employees) that combines CRM, payments, invoicing, billing, e-commerce, and multi-channel marketing tools in a single platform. Founded in 2009, the company has grown to $120M ARR serving 20,000 customers with an average revenue per user of $500/month, while maintaining strong unit economics ($3,000-$4,000 CAC with 3-month payback) and recently turning profitable with a focus on reaching 15-20% EBITDA margins. The company is exploring an IPO within 12-18 months without having raised substantial capital beyond an initial $7.5M.
Plunge
$10.0M/moPlunge is a hardware company that manufactures and sells at-home cold plunge devices. Founded in 2020 by Ryan Duey and Michael after their brick-and-mortar float therapy and sauna businesses were impacted by COVID, the company grew from $270k in first-year revenue to $120M+ ARR in four years. Their success is driven by influencer gifting, organic word-of-mouth, and highly efficient paid advertising (7-10x ROAS on Facebook and Google).