AI Stopped Being a Story. Now It's in Your Multiple

Hey, it's Tony. Most leadership teams learn what their business is worth when a buyer tells them. By then, every decision that shaped that number has already been made. Whether you're running a B2B business, funding one, or building one, part of your job is making it more valuable. But value creation is a phrase most teams can't connect to the day-to-day work in front of them. If there's an exit on the horizon, the hard part is lining up today's decisions with that goal and that timeline and making sure you're building value where buyers actually pay for it. That's getting harder. Growth and margin used to explain most of what these businesses were worth. They explain less now. This quarter, 6 of 8 B2B categories repriced and all of them went down. I built the Uphoff Value Index, the UVI, to close that gap, to connect the decisions you make every day to the value you want to create and the exit you are planning for. Today's episode is the first quarterly UVI Index. AI stopped being a story. Now it's your multiple. I'll walk through what moved in each of the 8 categories, the 2 new drivers buyers are pricing, and what it means for you. Okay, let's get to work. 6 of 8 B2B categories repriced this quarter, all of them down. AI exposure explains most of the move. Size explains the rest, and buyers now test AI defensibility before anything else. The Uphoff Value Index tracks what buyers pay for B2B information, marketing, and technology businesses and why it changes each quarter. This report shows what moved and what it means if you're building, running, or funding one. Bit of background first— what the UVI is and who it's for. What it is. The Uphoff Value Index is a valuation benchmark for B2B information, marketing, and technology businesses. It starts where a buyer starts with an EBITDA multiple range for each of the 8 categories, then estimates where a company sits in that range based on 3 key factors: growth and margin read together, so strength in one can offset the other; revenue per employee measured against the category's own peers; and protection against AI disruption, which is a new factor this quarter. The eight categories tracked are B2B media, media and events, business intelligence, data, marketing services, martech and adtech, demand generation and content syndication, and B2B events. What it's built on: there's three sources: disclosed M&A transactions, the trading multiples of a fixed set of public companies in each category, and research from the advisors who run these sales processes. This quarter that includes Collingwood's 2026-27 market. Market Report, a survey of about 100 active acquirers across information, media, and events, and the source of the deal counts and buyers in the findings in this report. The ranges are checked every quarter and fully reset at least once a year. A range only moves when the evidence moves it by a half turn of EBITDA or more, so a company's number changes when the market does, not when a stock has a bad week. The UVI review panel, a group of operators, investors, investment bankers, and industry analysts who work across these categories reviews every update before it ships. How you can use it. The Uphoff Advisory client tool pairs this— that estimate with a diagnostic of the 5 value drivers that build what a business is worth over time. They are revenue quality, market position, operational leverage, leadership depth, and exit readiness. This quarter's ranges, the new AI protection score and revenue per employee for every category, go live in the client tool on uphoffadvisory.com Later this month. Who this is for: operators running these businesses, investors funding them, and founders building them. As I argued in the post, how much is my business worth is the wrong question. The exit multiple is a report card on decisions made years earlier. I've been CEO of 5 businesses, each one a turnaround or a transformation. Every time, the value the next owner paid for was built or spent long before anyone talked about a sale. Most leadership teams learn what their business is worth when a buyer tells them. I built the UVI to show them while there's still time to change it and to line up today's decisions with the value they want to create and the exit they're planning for. Because every decision has a multiple. Okay, let's get into the details. Q3 2026, 6 of 8 categories repriced. The dividing line is AI exposure at the revenue line. Data, B2B media, and martech fell because AI is already visible in their revenue. Business intelligence held its ceiling because buyers keep paying for the data AI needs. The deal counts agree. Information deals rose 88% in the first half of 2026 from 51 to 96, and event deals rose 31%. Media deals fell 46% from 54 to 29. Size now shows up in price. The year's headline deals carry a scale premium most businesses in these categories won't see. So 2 ranges move down to price the lower middle market. And AI defensibility has become the gate. Buyers test it before they look at growth or margin. On average, 60% of the sale processes buyers entered never close, and more of them now end quietly before launch. Where AI reached the revenue line, the multiple followed. In the data category, in July, the debate about contact and intent data was whether the market had priced AI disintermediation too early. ZoomInfo's 2nd quarter settled it. Revenue up 1.2%, a full-year outlook that still points to a decline of about 3%, a $650 million impairment, and the stock down about 2/3 in a year. Buyers have stopped discounting a future threat and started discounting revenue that no longer grows. ZoomInfo's 35% adjusted operating margin doesn't earn a premium on a flat top line. I looked at what that means for go-to-market data businesses in last Monday's post, B2B Marketing Is Driving Forward Looking Backward. The B2B media category, the category's best public reference point used to be TechTarget with margins north of 30% before the Informa combination. InformaTech target now runs 10% to 13% margin on revenue down 3%, and it has written off nearly $1 billion of goodwill since the start of 2025, including $45 million in the first quarter of this year. Buyers value digital media businesses with $5 to $10 million of EBITDA at 6.5 to 9.5 times EBITDA. Advertising-led media lost its best argument for a higher multiple. The value hasn't left the category, however. It's moving to the businesses that turn an audience into data a buyer can use. Media companies with real data revenue already priced that way, and they belong in the business intelligence category. MarTech and AdTech. The ceiling moved because the company holding it up moved. The Trade Desk set the top of this range for years and now trades around 6 times EBITDA with the stock down 3 quarters in a year. Zetta Global growing 44%, trades around 19 times forward EBITDA, but a single company growing at that rate is an outlier. Criteo's falling revenue marks the floor. In this category, growth is the multiple and very few businesses have it. Intelligence held its ceiling. In events, scale is what gets paid. Business intelligence, 2 strategic buyers paid up for data that AI agents need. Publicist for LiveRamp at about 12.3 times forward adjusted EBITDA. and Nielsen for DoubleVerify at about $2.15 billion. DoubleVerify's growth had slowed to under 3%, so the low end of the range widened. Proprietary data still commands a premium. Slow growth still costs you even when the data is good. Events. Emerald, CloserStill, and Hive, priced at an estimated 11 to 14.5 times EBITDA, and the same handful of private equity firms is now buying event businesses from each other. That's what scarcity looks like at the top of a market. Most event businesses aren't at the top. Buyers value organizers with $5 million to $10 million of EBITDA at 9 to 12.5 times for trade shows and 6 to 9.5 times for conferences. And the largest buyers are already refusing to look at anything under $2 to $3 million of EBITDA unless it fits closely with what they already own. The demand for events is real. An agent can't replicate a room full of decision makers. The UVI range moved down from 10 to 16 times to 8 to 14 to price the businesses that most operators actually run. In services, the spread inside the range is the story. Demand generation and content syndication, no new disclosed transaction this quarter. Public comps and private market buyer conversations point the same way. Demand generation and sponsorship businesses owned by media companies trade at 6.5 to 10 times EBITDA. 2 things hold that pricing down: the hangover from the pandemic boom when event budgets moved to leads and then moved back, and a flood of low-cost lead providers that has taught buyers to discount lead quality across the category. The top of the 7 to 12x range comes from the exception, and the exception is real. Intent-led businesses with recurring revenue that can show which accounts are in-market and prove the return are starting to pull away from media pricing. My read, the market is 2 to 3 years from treating that revenue as subscription-like and pricing it that way. Full disclosure, I am a board advisor to Pipeline360, which competes in this category. Marketing services, the range held at 8 to 14 times. What changed is how buyers place a firm inside it. The holding companies set the ceiling for generalists. Omnicom trades at about 7.8 times EBITDA, which limits what the biggest buyers can pay for an agency that looks like what they already own. The premium goes to firms that don't look like that. The average agency does about $163,000 of revenue per employee. The median public software company does about $395,000. Agentic workflows are closing that gap one firm at a time, and buyers pay for the firms that close it. Take 2 agencies with identical P&Ls, $11 million of revenue, $2 million of EBITDA, 15% growth. One runs with 68 people, the other with 40. Last quarter, the index valued both at 9.8 times. Now the 40-person firm is worth 10.3 times, about $1 million more on the same earnings. Services is where the gap is widest and where it will reprice firms fastest. Revenue per employee now moves the multiple. Revenue per employee is the cleanest single read on whether technology or headcount is doing the work. Starting this quarter, the UVI measures it in all 8 categories, each against its own public peers, because the bar isn't the same everywhere. Listed B2B media companies run about $260,000 to $370,000 per employee, research and advisory firms about $280,000 to $320,000, and martech and adtech platforms around $390,000 to $780,000. A firm at its category's baseline gets no adjustment. A firm approaching the top of its peer range earns a full turn of EBITDA, and one well below takes a discount. A B2B media business doing $333,000 per employee picks up more than a half turn, about $1.7 million on $3 million of EBITDA. Growth and margins set the multiple. AI defensibility decides whether you get one. For years, growth plus margin explained most of the difference in what these businesses were worth. It explains less now. Companies with similar growth and similar margins are trading far apart, and the gap comes down to how defensible they are against AI. In Collingwood's survey of about 100 buyers, 91% called the AI resilience of the business, business model essential or important. 86% of buyers said the name— the same of the end market, and 74% of a direct relationship with the customer. Buyers now sound out businesses 6 to 12 months before a sale, and 60% of processes never reach a close. So starting with this quarter's update, the UVI Scores AI Defensibility— AI Disruption Protection asks 4 questions of every business in every category. Number 1, substitution. Could AI reproduce what customers pay you for? Number 2, customer exposure. How exposed is your customers' own business to AI? Number 3, relationship ownership. Do you own the customer relationship or rent it from search and other platforms? And number 4, data moat. Is your data hard to recreate and build into how customers work? The adjustment is deliberately uneven. A well-protected business earns up to a full turn of EBITDA. An exposed one loses up to a turn and a half because buyers treat AI defensibility as a gate, not a sliding scale. 2 data businesses with identical P&Ls show the effect. $5 million of EBITDA, 5% growth, a 20% margin. The one buyers believe is protected is worth $5.6 or $28 million. The one they think AI can route around is worth 4 times or $20 million, and it may never get a process started. What this means if you're running, funding, or building one. If you're running one, find your category and be honest about where you sit in it. The market stopped paying for margin without growth this quarter. If your margin is strong, your growth is flat, it's no longer a premium story. Fix the growth before you plan a process. Work through the 4 AI questions before anyone calls, because buyers form their view on AI early and most processes never close. Then track revenue per employee and cash conversion with the same discipline as EBITDA. Buyers already are. If you're funding one, the discounts in data and media aren't automatically opportunities. Some of these businesses are cheap for a real reason. Underwrite the revenue line and the cash it actually produces. Ask for revenue per employee before you ask for EBITDA in every category, and benchmark it against the right peers. And watch the gap between public and private prices. Listed information companies are down 20% to 30% from their late 2025 peak. Private values of the best assets have held, and historically, the private market follows with a lag. If you're building one, build where the multiple holds proprietary data an agent needs and can't scrape, experiences an agent can't replicate, or a services model where each person carries software-level revenue. Own the customer relationship from day one because renting it from search and other platforms is now a discount. And build toward the size buyers will look at. Below $2 to $3 million of EBITDA, your value depends on finding a very specific buyer. So, know who that buyer is. The market isn't guessing about AI anymore. It's reading the revenue line. Make sure yours says what you think it does. Well, that's it for this episode. If you'd like to study the sources and methodology, please visit uphoffonmedia@substack.com and you can see all the sources and the methodology. Well, that's it for this episode. If you found this useful, please do one thing: follow the Uphoff Media Podcast on Apple or Spotify and leave a rating. It's the single best way to help another operator find this. I'm Tony Uphoff, back at it next week.