Global Personalization Needs to Reflect the Market as Well as the Individual
Most global personalization programs personalize for the individual and standardize for the market. Companies invest heavily in understanding who the customer is and far less in understanding where that customer is. Personalization engines can know buyers' job titles and purchase history. They can still fail to recognize that the same message can feel persuasive in one market and overly aggressive in another, or that evidence considered compelling in one country might carry little weight somewhere else.
Personalization is now a major priority for global marketers. Companies can identify audience segments and respond to behavioral signals with tailored experiences. The harder question is whether they can scale personalization globally while making each experience feel designed for the customer in that market.
Recent research shows how difficult that remains. Some 95 percent of executives say personalized customer experiences are critical to growth, yet only 28 percent can deliver them consistently across every market where they operate.
Twilio's "2025 State of Customer Engagement Report," based on responses from more than 7,600 consumers, reinforces the disconnect from the customer's side. In it, 84 percent of businesses say they deliver good or excellent personalized engagement, but only 54 percent of consumers agree, and 71 percent abandon purchases when the experience doesn't meet their expectations.
The investment goes toward personalization engines and audience segmentation. The cultural layer, the part that determines whether any of it connects with customers in a different country, gets added at the end if at all.
Customers don';t judge global companies against the experiences they provide elsewhere. They judge them against the strongest experience available to them at that moment in their own market.
A global reputation might earn attention. What follows has to justify it. If a campaign feels relevant but the product journey does not, or if personalized communication sounds as though it was designed for a different audience, some of the investment made to win that customer starts to lose value.
Personalization Has a Cultural Dimension
Customer data can reveal who someone is and how that person has behaved. It can help companies decide which producst, offers, or messages might be relevant. It cannot, by itself, determine how that relevance should be expressed.
That is where many global personalization programs become less personal as they scale. A central team develops the proposition around the expectations of its home market. Other countries receive an adapted version later. The words might be accurate, but the customer can still sense that the experience originated somewhere else.
I saw the same issue recur in campaigns spanning more than 30 markets. A central proposition might test strongly in the United Kingdom, but that did not mean it could simply be replicated elsewhere. Competitive conditions varied. Buyers responded to different forms of evidence. The way a claim needed to be supported could change significantly from one country to another.
We worked with local teams and research panels before launch, while there was still time to influence the campaign itself. The central idea remained recognizable, but the evidence and execution reflected the market in which customers would encounter it. Those campaigns went on to win awards and helped move the company into leadership positions in several markets.
The lesson was that local relevance needed to be built into the campaign from the beginning, with enough flexibility for each market to adapt the central idea appropriately.
The same principle applies to personalization. If companies want an experience to feel individual, they also need to understand the environment in which that individual is making a decision.
AI Makes Context More Important
AI is making it possible to produce personalized content at a scale that would have been difficult to imagine only a few years ago. It can generate variations quickly and respond to customer behavior almost immediately.
That increases the importance of the context guiding it. A system might know that a customer belongs to a particular segment. It still needs to know how the company should communicate in that market and which local signals make the message credible.
Without that knowledge, AI can produce fluent, personalized content that still feels strangely generic. This is where language intelligence becomes important to personalization. It gives organizations a way to carry brand knowledge and local context into AI-generated content, so teams can scale personalized experiences without stripping away the differences that make them relevant.
Much of that knowledge already exists inside the business. Global teams understand the brand and the proposition. Local teams understand how customers are likely to receive it. The opportunity is to make both available when AI creates or adapts content rather than relying on local correction after the experience has already been designed.
For senior marketing leaders, this becomes a governance question as much as a content question. The more content AI creates the more important it becomes to define the context within which that content should operate.
Design for the Market from the Start
Global personalization should begin before the first asset is created. The original brief should account for the customers the company expects to meet in each market. Local insight needs to shape the proposition while there is still time to influence the experience rather than being applied only to the language at the end.
That also requires clarity about what the organization wants to keep consistent. The brand promise should remain recognizable. Local teams can then make informed decisions about how that promise is expressed and supported in their markets.
Measurement needs to follow the same logic. Global averages can make a program look successful while hiding weak performance in individual countries. Leaders need to understand where an experience is working, where it is not, and whether local relevance is contributing to the difference.
The most useful local learning should then become part of the organization's shared knowledge, so each market does not have to solve the same problem independently.
For companies expanding internationally, this matters well before market entry. A new customer is being asked to trust a company they might know only by reputation. The experience that follows needs to demonstrate that the company understands the market it has chosen to enter.
Personalization can help create that sense of relevance. But only if the market is part of the personalization strategy from the start.
The strongest global experiences do not feel as though they have been adapted for a market. They feel as though they were made for it.
Pamela Ghosal is director of global communications at Phrase.