Rick Erwin and the Case for an Open Black Box

The most revealing episode in Rick Erwin’s career begins with a victory, proceeds through a horrifying spreadsheet, and ends as a lesson in what a leader owes everyone else in the room.

Early in his years at RR Donnelley, Erwin ran one of the printing company’s largest customer accounts, JCPenney. The renewal bid was an encyclopedic object: hundreds of pages of prices for every imaginable variation of printed advertising. A pricing team spent weeks on it. Donnelley submitted the bid, won the account, and Erwin received the sort of congratulations that make a young executive briefly suspect the universe is well managed.

Then someone found the arithmetic error. It ran systematically through the document. At those rates, Donnelley stood to lose millions of dollars. The company honored the contract. Erwin accepted responsibility for an error he had not personally entered, protected the pricing staff from becoming convenient sacrifices, and spoke candidly with the customer. JCPenney did not erase the mistake. The relationship did, however, become more collaborative. Inside Donnelley, teams redesigned the work until they could perform the contract profitably at what Erwin calls the “mistake” price.

He tells the story now because it compresses a philosophy into one ugly cell: own the problem, expose the truth, and make the system better. It also happens to be a good preface to Adstra, the company he leads today. Adstra’s product is identity infrastructure. Its argument is that marketers should not have to take the arithmetic on faith.

A career measured in changing identifiers

Erwin entered marketing when the paper was quite literal. After studying marketing and finance at Michigan State and earning an MBA at Northwestern’s Kellogg School, he spent 12 years in senior roles at RR Donnelley. Marketing identity then often began with names, postal addresses, household files, and the physical logistics of putting an offer into a mailbox.

In 2004 he moved to Experian. Over the next decade he led data and targeting businesses while the trade crossed from catalogs and direct mail into digital media. By 2009, as senior vice president and general manager, he was talking about combining consumer data with market-planning analytics. By 2010, as president of Experian’s data division, he was publicly pairing emerging-channel marketing with consumer privacy. The language has aged. The tension has not.

At Experian, Erwin helped expand the business into digital media and connected television. In 2015 he joined Acxiom to run Audience Solutions. Three years later he was co-president of Acxiom Marketing Solutions, responsible for parts of a business that had been through a turnaround and was sold to Interpublic Group for $2.3 billion. He had now seen identity from inside two of the industry’s most established operators. Scale offered reach, rigor, and capital. It also accumulated technical debt, commercial habits, and the inertia peculiar to large public companies.

Buying the foundation instead of pouring one

Erwin and roughly ten fellow data-industry veterans did not begin their next company with a blank whiteboard and a heroic garage. In 2018 they bought ALC, an established firm known for first-party data monetization and list management. It already served hundreds of clients and carried four decades of direct-marketing history. The useful assets and the awkward inheritance arrived in the same box.

The team’s observation was that companies still struggled to use customer data across forms of media. The obstacle was partly technical: identifiers for postal records, email, devices, browsers, television, and platforms did not naturally agree. It was also commercial. Many providers required brands to send data into a proprietary system, accept unseen matching logic, and pay again when the resulting identity had to travel somewhere else.

ALC became Adstra in 2020. The rebrand did two jobs at once. It told long-standing clients that the old business still existed, and told the market that the new group intended to range far beyond lists. The company built a platform for translating one form of identity into another, connecting offline records with digital signals and making the result available for insight, targeting, and measurement.

The line is modest enough to be believable. Adstra does not need to replace every system in the stack. Its more interesting claim is that identity can be composable: a marketer chooses the parts needed for a particular job, deploys them where its data already lives, and retains authority over the definition of a match. In a sector fond of selling cathedrals, Erwin is offering load-bearing components.

Privacy, without the ceremonial paragraph

Data executives are fluent in the language of trust, occasionally to the point that the words lose their fingerprints. Erwin has been making the argument for a long time. At Experian in 2014, he wrote that every organization touching consumer data shared responsibility for maintaining trust. At Adstra, that position has moved closer to the product design: matching should be explainable, raw data should not move unnecessarily, and brands should be able to govern how identity is constructed and used.

“Privacy isn't a trend,” he said in 2026. The rest of his point was architectural. Companies that bolt privacy onto an opaque identity system will be more fragile as rules and expectations change. Companies that start with accurate, consented data and visible controls have a better chance of keeping both consumer confidence and marketing performance.

This is also where Erwin’s public persona becomes unusually consistent with the pitch. A former colleague described his management style as calm, supportive, candid, and transparent, even while he insisted on quarterly results. The JCPenney story follows the same pattern. So does his career advice: take a position, give credit, keep promises, and become comfortable enough with data to ask it good questions.

Keeping both hands on the wheel

Erwin is suspicious of apocalyptic adtech weather reports. During the long panic over third-party-cookie deprecation, he compared the industry to the scene in Austin Powers where a steamroller advances very slowly while its prospective victim has ample time to react. Marketing has always had a seismic change in progress, he argued. The sensible posture is alert, adaptable, and less theatrical: two hands on the wheel.

Artificial intelligence is the latest weather system. Erwin expects AI to improve the scale and accuracy of identity matching. In time, agents may perform far more campaign planning and testing, lowering the cost of work now constrained by human bandwidth. Consumer agents may even make buying decisions, forcing brands to market to machines acting for people. Yet he has also warned that automation increases the premium on human discernment, strategy, and skill. More output is not the same as better judgment, a distinction familiar to anyone who has met a spreadsheet.

His second bet is on composability. Most enterprise software offers thousands of functions while any given customer uses a small fraction. Smaller modules, increasingly assembled or developed with AI, could let marketers buy only what a job requires. Adstra wants identity resolution to be one of those modules: governed, interoperable, and present inside environments such as Snowflake and Databricks rather than demanding a grand migration into somebody else’s kingdom.

The aspiration behind all this is broader than a cleaner technology stack. Asked what movement he would start, Erwin chose data literacy. He wants people to understand what is collected about them, why it is collected, what rights they possess, and how to make informed choices. He imagines those lessons beginning in schools and continuing in workplaces and communities. It is a striking answer from someone whose industry has often benefited from the public finding the machinery tedious.

Erwin’s Chicago commitments supply another dimension. He is a longtime trustee of Shedd Aquarium and has served organizations including Chicago Youth Centers, the Interactive Advertising Bureau, the Data & Marketing Association, LoopMe, and RevSpring. The résumé alternates between institutions that classify audiences and one devoted to fish, which may be the more agreeable database.

The work at Adstra is still a commercial wager, not a public seminar. Identity remains crowded, technically difficult, and politically charged. Brands want greater accuracy, lower costs, more control, less risk, and no interruption to performance. These desires do not always dine peacefully together. Erwin’s answer is to make the system visible enough that customers can choose their compromises instead of inheriting them.

That brings the story back to the mistaken bid. Transparency did not make the loss disappear. It turned a hidden problem into a shared one, then gave the people involved a chance to redesign the process. Erwin has built a career around versions of that maneuver. The data industry’s spreadsheet is larger now, and the cells contain people. He still wants someone to show the work.