Marketing Sits at the Boundary Between the Business and a Changing Outside World
Technology repeatedly moves that boundary—reshaping customer behavior, market expectations, and what companies can know and do in response.
Marketing has always been unusually prone to reinvention.
Not because marketing is less disciplined than finance, less operational than supply chain, or more susceptible to the latest technology than other functions. It is because marketing sits in a different place inside the enterprise.
Marketing sits at the boundary between the business and a changing outside world.
Its job, at its most strategic, is to understand markets, customers, competitors, channels, buying behavior and changing expectations—and translate what is happening outside the organization into choices the organization can make inside it.
That boundary does not stay still. Customers change how they discover products. Channels consolidate. New intermediaries emerge. Buying processes become more complex. Information that once belonged primarily to sellers becomes readily available to buyers. Expectations for speed, transparency, and continuity evolve.
Technology has been one of the most persistent forces moving that boundary.
Not simply because it gives marketers new tools, but because it changes how the outside world behaves while simultaneously changing what businesses are capable of knowing and doing in response. Websites and ecommerce altered access to information and purchasing. Digital media changed discovery, communication, audience access, and targeting. Customer data and big-data infrastructure expanded what companies could know about behavior and relationships. CRM, CDPs and related platforms made it increasingly possible to connect information across customers and interactions. Omnichannel raised expectations that those interactions should feel connected rather than fragmented.
In each case, the technology mattered because it changed the relationship between the company and the market.
Every major change in the relationship between a company and its market eventually becomes a change in marketing.
That is why strategic marketing seems to reinvent itself every decade or two. The methods and tools change, but the deeper reason is that the environment marketing is responsible for interpreting keeps changing—and technology repeatedly accelerates that change.
Now it is happening again.
01
Strategic Marketing Was Never Just Marketing Communications.
Some of the confusion around marketing’s evolution comes from defining the function too narrowly.
If marketing is understood primarily as advertising, content, campaigns, events, communications, or lead generation, then it is easy to imagine technology progressively automating more of the work. Generative AI can create content. Platforms can optimize media. Marketing automation can run journeys. Ecommerce can handle transactions. Sales technology can automate outreach.
Those are meaningful changes in execution, but they are not the whole of marketing.
Strategic marketing has always included a much broader set of responsibilities: understanding markets and customers, defining segments, choosing where to compete, developing positioning and differentiation, shaping go-to-market strategy, designing channels and customer journeys, identifying growth opportunities, connecting customer evidence, determining how the business should respond, measuring results and learning from what happens next.
In many organizations, parts of that work now sit in different functions. Sales may own account strategy. Product may own parts of market definition. Ecommerce may own digital experience and transaction. Data teams may own analytics and customer information. Marketing may own brand, demand, segmentation, or journey strategy. The allocation differs by company, and the labels matter less than the work itself.
The business still has to understand the market it serves and decide what to do about it. Technology can automate, accelerate, or replace individual methods used to perform that work. It does not eliminate the strategic responsibility itself.
02
Why Marketing Keeps Changing.
The pattern becomes clearer when we look at what previous technology waves actually changed.
Ecommerce changed how customers research, compare, purchase, and interact with companies. Websites shifted access to information and allowed more of the buying process to happen before a conversation with sales.
Digital media changed discovery, communication, and audience access. Customers could move across search, social, publisher content, peer recommendations, and brand channels in ways that were less linear and less controlled by the company.
Customer and market data expanded what businesses could observe about behavior, transactions, relationships, and signals. CRM, CDPs and related customer platforms increased the ability to connect that information across customers, functions, and interactions.
Martech and omnichannel made coordinated interactions across channels increasingly possible—and eventually expected. What had once been separate touchpoints were increasingly experienced by customers as parts of one relationship.
These technologies mattered because they changed what customers could know and do, what companies could see in return, and how businesses could respond.
This is especially visible in complex B2B and professional markets. A manufacturer may sell through distribution but ultimately depend on the preferences of contractors, installers, dealers, builders, designers, or other professionals it does not transact with directly. A distributor may have thousands of customers across branches while important parts of the relationship still reside with individual salespeople. The same customer may research digitally, buy through a branch, call a salesperson, engage with a manufacturer, and make decisions based on the needs of a specific project or jobsite.
The commercial reality does not neatly follow an organizational chart. Understanding that reality has always required more than communications. It requires connecting the market to the business.
03
The Current Shift Goes Deeper.
The latest wave of connected customer data, advanced analytics, and AI is often discussed as another change in marketing execution. Some of it is.
AI will make many tasks faster. It will change content creation, research, campaign operations, analysis, customer service, and other forms of knowledge work. Activities that once required significant manual effort will increasingly be automated.
But focusing only on productivity misses the more consequential change.
AI may be unusual because it is beginning to change both sides of the boundary at the same time.
On the customer side, people are increasingly using AI to discover information, interpret options, compare alternatives, and make decisions. That may change how customers search, which sources they rely on, how quickly they move through a buying process, and what they expect from companies along the way.
On the company side, connected data and AI are beginning to reach further upstream into commercial decision-making itself.
The questions are no longer limited to what message to send or which campaign to run. Businesses can increasingly use connected customer evidence to determine which accounts deserve attention, where credible growth opportunities exist, which products, categories, or services make sense next, and which customers appear to be changing their behavior.
That intelligence can also influence who should act and through which channel. The next move may belong with marketing, a salesperson, a branch, ecommerce, customer service, or another part of the business. Once action is taken, the organization can observe the result, compare it with the original hypothesis, and use the outcome to improve the next decision.
Previous technology waves dramatically changed visibility, channels, and execution. The emerging one increasingly connects evidence to decisions and decisions to action, while also reshaping how customers themselves gather and interpret information.
That does not mean machines suddenly own commercial judgment. Customer evidence is incomplete. Context matters. Models require assumptions. A statistically interesting pattern is not automatically a good business decision. Strategy still requires choices, tradeoffs, and judgment.
What is changing is the ability to create a much tighter system between what a company observes in the market and how it responds.
The emerging architecture looks less like a sequence of marketing activities and more like a continuous commercial learning system:
Market and go-to-market strategy → connected customer evidence → intelligence → decision → activation → outcome → learning.
Each part makes the next more valuable. Data without strategic context produces more information, not necessarily better decisions. Intelligence without activation may never change behavior. Activation without measurement makes it difficult to know whether an intervention worked. Measurement without learning simply produces another dashboard.
The opportunity is in connecting the system.
04
And That Creates an Organizational Question.
Most companies already have strong leaders responsible for individual parts of this commercial system. Sales may own accounts and revenue. Marketing may own brand, communications, demand generation, segmentation, or parts of the customer experience. Product owns the portfolio. Ecommerce manages digital transactions. IT owns technology infrastructure. Data teams manage platforms, governance, and analytics. Operations owns processes, while the CEO and executive team are responsible for enterprise strategy.
All of those responsibilities are legitimate and necessary. The emerging challenge is not that one executive should directly manage every function.
The challenge is whether anyone has senior accountability for integrating what the company is learning about the market and its customers with strategy, intelligence, and coordinated commercial action across those functions.
That is the real meaning of “Who owns the boundary?”
It is a question of accountability for connection, not organizational empire-building. Someone at the senior level must ensure that customer behavior, market shifts, competitive movement, channel dynamics, unmet needs, and emerging opportunities are consistently translated into choices inside the company.
That means connecting market understanding to positioning and go-to-market strategy, customer and market intelligence, commercial priorities, the systems required to act, and the mechanisms that turn outcomes into learning.
The answer does not have to be the CMO. It may be a strategically oriented marketing leader, a Chief Growth Officer, Chief Commercial Officer, business president, or another senior leader. The title matters less than whether someone actually owns the responsibility.
05
Fragmentation Can Exist Inside a Highly Capable Company.
A company can have an excellent sales organization, sophisticated data capabilities, a strong product team, modern ecommerce, talented marketers, and capable technology leaders—and still struggle to turn those assets into coordinated growth.
Each function may be performing exactly as designed. The problem can exist between them.
Sales sees the customer through accounts, pipeline, and relationships. Ecommerce sees transactions and digital behavior. Marketing sees audiences, engagement, segmentation, and campaigns. Product sees categories, adoption, and portfolio performance. Data teams see records, attributes, models, and patterns. Executives see financial performance and strategic priorities.
Each perspective may be valid. None, on its own, necessarily provides a complete commercial view.
That is how a company can possess more customer information than ever while lacking a shared understanding of what it means. It can identify an opportunity analytically without creating a path for anyone to act. It can activate programs without connecting the resulting behavior back to the intelligence behind the original decision. It can modernize every individual function without designing how those functions should work together.
The integration problem is easy to underestimate precisely because the individual parts may look strong.
This is not primarily a technology problem. It is a boundary problem.
06
Technology Is Moving the Boundary, Not Eliminating It.
As technology absorbs more execution and intelligence moves closer to decision-making, it is tempting to conclude that some traditional organizational responsibilities simply disappear. More often, they move.
When customers became digital, companies needed someone to understand what digital behavior meant for the business. As customer data expanded, companies had to determine which evidence mattered and how it should shape commercial choices. As AI becomes capable of identifying patterns, recommending actions, and learning from outcomes, leadership must determine how those capabilities fit within the company’s strategy, economics, customer relationships, and operating model.
Technology changes what is possible at the boundary. It does not remove the need to manage it.
Consider a manufacturer or distributor whose intelligence identifies an account that appears likely to expand into another category. The model may surface a credible opportunity based on purchase history, customer characteristics, product relationships, and behavioral signals.
But the recommendation is only the beginning. The business still has to determine whether the evidence is strong enough to act on, whether the opportunity fits its strategy, whether the next move should come from a salesperson, branch, ecommerce experience, or marketing program, and what customer context should shape that action. It also has to decide how to interpret the outcome and feed that learning back into the system.
The technology can improve the quality and speed of the recommendation. It does not resolve the organizational question of how the business turns that recommendation into coordinated action and learning.
Those are connected commercial decisions, and increasingly they sit across functions rather than neatly inside one.
07
The Next Version of Strategic Marketing.
For senior marketers, this is not an argument for protecting an old definition of the function. It is an invitation to return to a broader one.
The long-term value of strategic marketing has never come from controlling a particular set of channels or activities. It comes from understanding the market and helping the company make better choices because of that understanding.
The methods will continue to change. Some activities will become automated. New capabilities will appear. Organizational boundaries will move. Titles may change, and responsibilities may be redistributed.
What should not become fragmented is the responsibility for connecting the outside world to the inside of the company.
Customer and market evidence must shape strategy rather than merely populate dashboards. Intelligence has to connect to action. Outcomes need to feed learning rather than disappear into another functional system. And the organization needs senior-level accountability for seeing how those pieces work together, even when execution remains distributed across the business.
Who owns the boundary in your organization?
The answer may sit in marketing, commercial leadership, growth, a business unit, or somewhere else entirely. What matters is whether the responsibility is explicit: who ensures that changing customer and market realities are translated into strategy, intelligence, and coordinated commercial action across the enterprise?
If that accountability is unclear, adding more data, more systems, or more AI will not resolve the ambiguity. It may simply make each individual function more capable while leaving the connections between them untouched.
A company can change titles, structures, and technology. It cannot eliminate the need to understand the outside world and translate that understanding into coordinated commercial action.
The METIS Perspective
The boundary becomes harder to manage when customer reality spans companies, channels, systems, and people.
That is common in professional markets. A manufacturer may sell through distribution while depending on contractors, installers, dealers or other professionals it does not transact with directly. A distributor may have customer activity spread across branches, salespeople, ecommerce and service interactions. Market, product, channel and customer context may sit across still more systems and teams.
The result is not simply a data problem. It is the same boundary problem described throughout this article: how does the business develop a connected understanding of what is happening outside the organization and translate it into better decisions inside it?
Connected data is an important part of that answer, but it is not the finish line. The larger opportunity is to combine market and go-to-market strategy with connected customer evidence and professional-market context so the business can identify meaningful opportunities, make better decisions, put the appropriate action into the flow of the business, and learn from the result.
That creates a continuous commercial learning system:
Market and go-to-market strategy → connected customer evidence → intelligence → decision → activation → outcome → learning.
The action itself can remain distributed. It may belong with a salesperson, branch, ecommerce experience, customer-service team, or marketing program. What needs to be connected is the intelligence and decision architecture behind those actions, along with the outcomes that strengthen the next decision.
The value is not another score, model, or dashboard. It is a business that can stay closer to a changing market, recognize opportunity, and turn what it learns into coordinated commercial action.
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Industry Resources
The research below provides additional perspective on the shifts in B2B buying behavior, omnichannel expectations, connected customer data, and AI that are reshaping the boundary between companies and their markets.
McKinsey & Company — Five fundamental truths: How B2B winners keep growing
McKinsey’s 2024 B2B Pulse research examines how buyers now move among in-person, remote, and digital self-service interactions, use an average of ten channels during the buying journey, and increasingly expect those interactions to connect seamlessly.
McKinsey & Company — New front door to the internet: Winning in the age of AI search
Research on the growing use of AI-powered search for discovery, comparison, and brand evaluation illustrates how AI is beginning to alter the customer side of the company-market boundary—not simply internal business productivity.
Gartner — Critical Capabilities for Customer Data Platforms
Gartner describes CDPs as platforms designed to collect, unify, segment, and activate customer data across devices, channels, and enterprise applications, reflecting the broader shift from disconnected records toward connected customer understanding and activation.
McKinsey & Company — The New B2B Growth Equation
McKinsey’s B2B research documents the move toward integrated omnichannel buying and the importance of orchestration across digital, remote, and in-person interactions—reinforcing that customers increasingly experience multiple company touchpoints as one commercial relationship.