In the late 1990s, two management consultants kept staying at the same hotels, kept having the same mediocre experiences, and kept noticing the same strange gap: the company clearly wanted their business, spent money to win it, and yet had no reliable way to hear what its guests actually felt. Borge Hald and Amy Pressman - Stanford Business School graduates, former Boston Consulting Group colleagues, and married - decided the gap itself was the product. In 2001 they turned it into a company called Medallia.
What they built, in plain terms, is software that helps big organizations listen at scale. Not a suggestion box. A system that captures feedback wherever it happens - a survey after a flight, a recorded call to a bank, a one-star app review, a comment on social media, a sensor reading from a connected product - and routes what it learns to the person who can do something about it. Medallia calls the platform Experience Cloud. The category it helped create is now called experience management, and Medallia is one of the two companies most often credited with inventing it.
01 / The ProblemThe feedback gap
The original insight has aged well. Most companies collect feedback the way they file taxes: annually, reluctantly, and too late to matter. A quarterly survey tells you what customers felt three months ago, summarized for an executive who cannot personally fix the checkout line in store 412. Medallia's founding bet was that the value of feedback decays fast, and that the useful unit of listening is not the boardroom report but the front-line manager who can act today.
Their first commercial product was almost boring: a web-based reporting tool that let hotel managers read guest comments right away instead of waiting for a research firm to package them. Boring turned out to be the moat. By the time competitors noticed that real-time, front-line feedback was a real category, Medallia had spent years quietly building it.
02 / The ProductOne platform, many signals
The modern version of Experience Cloud is less a survey tool than a signal-processing plant. It ingests structured feedback (the classic 1-to-10 score), unstructured text (reviews, emails, chat), voice (contact-center calls, transcribed and analyzed), video, social posts, and operational and IoT data. Text and speech analytics find the themes and sentiment inside all that noise. Then the platform pushes the result outward as alerts, dashboards, coaching prompts and closed-loop actions.
AI + text & speech analytics
Around that core sit the modules companies actually buy: customer experience management, digital experience, employee listening, conversational intelligence for contact centers (agent coaching, quality management, intelligent callback), agile and video research, and text analytics. In 2024 the company added a layer it markets as Frontline-Ready AI - a set of generative features including Smart Responses, Themes, Intelligent Summaries and a conversational assistant called Ask Athena. The pitch for Athena is concrete: a manager types a question in plain language and gets back a short written answer plus the chart that supports it, no analyst required.
03 / The CustomersWho is actually listening
Medallia sells to large enterprises and public-sector bodies - organizations big enough that "just ask the customer" stops being a casual thing and becomes an engineering problem. Named customers span hospitality, retail, finance, healthcare, automotive and tech: Airbnb, Volvo Cars, 3M, Johnson & Johnson, McKesson, MetLife, Pacific Life, Best Western and H&R Block among them. The platform is built to handle billions of experience signals a year, which is the kind of volume that only matters when your customer base is measured in millions.
04 / The BusinessSubscriptions, modules, expansion
The model is classic enterprise SaaS. Customers pay recurring subscriptions to Experience Cloud, generally priced by the modules they use, the volume of feedback they process, the number of users and the channels they connect. Contracts tend to be large and multi-year, professional services help stand programs up, and growth comes as much from selling more modules into existing accounts as from winning new logos. As a public company in its last reported year, Medallia posted roughly $477 million in revenue. It has been private since 2021, so newer figures are not disclosed.
05 / The OwnershipA company that outlived its owners
Medallia's cap table reads like a tour of modern finance. It bootstrapped, then took venture money led by Sequoia Capital, whose partners later wrote that the founders had "predicted the power of real time." It went public on the NYSE in July 2019 under the ticker MDLA. In 2021, Thoma Bravo took it private in an all-cash deal worth $6.4 billion, at $34 a share. And in June 2026, an investor group led by Blackstone, Apollo and FS KKR Capital took over from Thoma Bravo in a recapitalization that cut the company's debt and added $150 million of fresh capital.
Alongside the money came new leadership. Joe Tyrrell, who had run the company since 2023, stepped down in 2025; Mark Bishof arrived as chairman and CEO with a refreshed executive team. Bishof's framing of the 2026 deal was blunt about pace rather than direction.
06 / The FieldWhere it fits, and against whom
Experience management is a crowded field. Qualtrics gets much of the press, and Medallia also competes with Sprinklr, InMoment, Verint, NICE and a long tail of voice-of-the-customer and survey vendors. Medallia's differentiation has been consistent for two decades: breadth of signal capture (voice and video, not just surveys) and a front-line-first philosophy that puts insight in the hands of the person who can act, rather than only the executive who reads the summary. Its acquisition of the speech-analytics firm Voci in 2020 deepened the contact-center side of that story.
The open question is the same one facing every incumbent software company right now: does 25 years of category leadership help when AI resets the rules, or does it become baggage? Medallia's answer is the $500 million it says it will spend, and a product roadmap that leans hard on generative AI doing more of the listening. Whether the pioneer wins the AI era is the story worth watching next.