A lead downloads a report. Another attends a webinar. A customer visits the pricing page. Somewhere between that small flash of interest and a salesperson's screen, the signal becomes a task, the task becomes clutter, and the possible sale disappears. Steve Arentzoff has a name for this ordinary corporate tragedy: the leaky pipe.
It is an unshowy metaphor, closer to a facilities ticket than a campaign slogan. It also explains an unusual amount about Arentzoff. Across three decades in marketing, he has moved through advertising, customer databases, ecommerce, digital media, demand generation, customer experience, payment recovery and artificial intelligence. The products changed. The essential fascination did not. He looks for the moment when attention is present but the organization fails to notice what it means.
In October 2025, that habit took him to Globality, where he became chief marketing officer. The company sells an AI-powered autonomous sourcing platform to large enterprises. Arentzoff's brief was to lead global marketing, help the business rise above the noise around AI, and explain how better sourcing can produce savings, efficiency and sharper decisions. It sounds contemporary because it is. Yet his approach was forming when a customer database was itself exciting technology.
Before AI had agents, marketing had databases
Arentzoff's public work history begins in 1996 at Young & Rubicam. The agency world taught generations of marketers how to win notice, but his next jobs moved steadily toward what happened after notice had been won. At Claria and Charles Schwab, he held vice president roles in database marketing. At Intuit, he directed ecommerce and customer cross-sell strategy. Each title sounds like an artifact from a different technological layer, but together they describe a marketer moving closer to the transaction.
There followed executive roles at BuyerLink, Lead Decisioning Systems and VigLink, plus a spell as principal of Marketing Strategy Group and an advisory-board seat at thruSocial. By 2014 he was leading demand generation and campaign services at Dealertrack Technologies and Cox Automotive. In 2017, he joined Cision's digital marketing leadership. Then came Medallia, where the job title dropped any ambiguity: vice president of demand generation.
Four eras, one recurring question
The cleanest statement of his philosophy appeared in a 2019 presentation. “Delivering leads is not our objective,” one slide read. Success, he argued, requires a working knowledge of customer pain points, media, marketing technology, data and analytics. Growth marketing should be responsible for a share of closed revenue, typically 35 to 50 percent in the model he presented. Budget planning should start with the required result, then work backward through channels and conversion rates.
“Delivering leads is not our objective.”Steve Arentzoff, 2019 demand-generation presentation
Plenty of companies claim to be data-driven. Arentzoff's version is stricter. A chart does not absolve the marketer from understanding the route between an audience and a booking. A lead count is merely a pleasant intermediate number. The work becomes valuable when the line reaches revenue.
The leaky pipe gets repaired
At FlexPay, where Arentzoff served as senior vice president of marketing from 2021 to 2025, the metaphor became machinery. The company used AI to recover failed subscription payments. Meanwhile, its own marketing operation had a revenue leak. When a person downloaded a report or attended a webinar, the CRM might create a lead or update a record. Signals from existing customers often appeared as tasks or actions, where salespeople could miss them.
“Simply put, we were leaving money on the table,” Arentzoff later said. Every ignored interaction might have represented an expansion opportunity. FlexPay and Oracle built a model in which meaningful interactions became points of interest in a lead table. Sales reviewed them one by one. A representative could see interest while it was still fresh, along with the larger pattern of activity across an account.
He called the broader method account-based customer experience, or ABX. Its premise was organizational as much as technical: a customer's experience belongs to marketing, sales and service together. Software could expose the signals; people still had to agree that those signals mattered and decide how to act on them.
This is where Arentzoff's temperament becomes visible in public, mostly through the testimony of colleagues. One LinkedIn recommendation calls him “smart, diligent and focused” and a “steady force.” Another says he was dependable, committed and able to turn analytics into marketing strategy. Even the more colorful compliment, which compares his execution to bringing a flamethrower, points to the same quality: he gets things done. The language is energetic; the portrait is of an operator.
A churn problem is a customer problem
FlexPay also put Arentzoff close to a particularly awkward business moment: a customer who seems to leave but never meant to. When a subscription payment fails, the company can label the event churn and go shopping for a replacement customer. Arentzoff urged businesses to diagnose first. Was the departure voluntary, or had a payment issue forced it?
The distinction is economically important and oddly humane. A system that recovers the payment quietly can preserve service without making the customer stop and reconsider the subscription. Acquisition spending is spared. Loyalty is not tested by an avoidable interruption. Arentzoff noted that subscription businesses can spend the equivalent of four to six months of billing to acquire a customer, which makes preventable churn expensive long before it becomes dramatic.
His argument was never simply “retain more.” It began with “understand where the churn is coming from.” That is classic Arentzoff: diagnosis before decoration. The business wants growth; he asks which signal the system is misreading.
Now the product is buying itself
Globality presents a different scale of transaction. Its platform helps enterprises scope sourcing projects, identify suppliers, evaluate proposals and negotiate. The aim is to automate much of a process traditionally spread across email, documents, meetings and procurement systems. Arentzoff arrived as every software company seemed compelled to describe itself as intelligent, agentic or transformed.
His first statement in the role was notable for its nouns. He wanted to elevate the story, drive adoption, and help redefine enterprise sourcing through “speed, intelligence, transparency, and value.” Those four words are less mystical than most AI language. Each can be tested. Did the sourcing cycle move faster? Did teams see more clearly? Did they compare suppliers fairly? Did the enterprise save money or release working capital?
“I am excited to join the team and help elevate Globality's story, drive market adoption, and advance our mission to redefine how enterprise companies source with speed, intelligence, transparency, and value.”Steve Arentzoff on joining Globality
That measurable vocabulary suits a marketer who came of age around databases and conversion tables. It also gives him a useful role in the current AI argument. The market does not lack grand claims. It lacks patient explanations of what a product notices, what it decides, what a person still controls and what changes on the income statement.
In early 2026, Arentzoff began presenting Globality's AI-enabled sourcing maturity curve with colleague Peter Wetherill. The proposed journey moved from quick efficiency and savings toward a reimagined sourcing model and a more strategic procurement function. In March, he promoted a session with T. Rowe Price procurement leaders about returns from AI sourcing. By June, another session tackled the cost and time of building a sourcing system on general-purpose AI versus buying a purpose-built platform. The subjects are technical; the framing remains economic.
The useful signal in all that noise
A long career can tempt a neat story onto messy facts. Arentzoff's record resists the heroic version. There is no single garage, epiphany or viral campaign. Instead, there is repetition: databases, customer intent, conversion, churn, pipeline, sourcing. He has spent his professional life near systems that are supposed to help companies notice what people and organizations want.
That repetition is the story. At Intuit, the question was which customer might buy another product. At Medallia, it was how demand generation could produce a measurable share of revenue. At FlexPay, it was whether a failed transaction meant a customer had truly left and whether a buyer's interest reached sales. At Globality, it is whether enterprise demand can be scoped and matched to suppliers with less friction and better judgment.
Marketing is sometimes described as the art of making noise. Arentzoff's career offers a drier and more useful alternative: it is the discipline of preventing signal loss. Attention should travel somewhere. Interest should meet a response. Technology should reveal a better decision. A budget should begin with an outcome.
The leaky pipe is still a fine metaphor. It contains no glamour, which is part of its charm. Pipes work behind walls. When they do their job, nobody applauds. When they fail, the cost spreads quietly. Steve Arentzoff has built a career by listening for the drip.