Personalization has been a marketing priority for years: brands have invested in audience segmentation, behavioral data, recommendation engines, and increasingly sophisticated targeting to make experiences more relevant to individual consumers.
The rise of AI is raising the bar.
Consumers are becoming accustomed to digital experiences that can understand natural-language questions, remember context, compare options, and make recommendations based on what someone is actually trying to accomplish. Gartner research shows consumers are increasingly using AI to research products, compare options, and narrow their choices.
That shift is creating a new expectation: digital experiences should understand the consumer’s context and help them move toward an outcome.
AI Is Changing What Personalization Means
Traditional personalization has largely centered on what marketers know about a consumer. Location, demographics, browsing behavior, purchase history, and other attributes can help determine which message or offer someone sees.
AI introduces a different dimension: context.
A consumer can ask an AI tool a question in their own words, explain what they are looking for, add constraints, change their mind, and ask follow-up questions. The experience can adapt along the way.
That is particularly valuable when consumers are making complicated decisions. Rather than sorting through dozens of options independently, they can ask AI to help narrow the choices and explain the differences.
Gartner’s 2026 research illustrates this distinction. While only 11% of U.S. consumers surveyed were willing to let AI make purchase decisions for them, 31% were willing to use AI to narrow choices for household purchases and 28% for personal electronics. Consumers are showing greater interest in AI as a research and decision-support tool than as an autonomous buyer.
As these experiences become more common, consumers may begin to carry the same expectations into other digital interactions. A website, advertisement, form, or sales conversation that ignores obvious context can feel increasingly disconnected from the experiences consumers are having elsewhere.
Our Predictions for What Comes Next
Personalization will become more contextual
The most valuable signals will increasingly come from understanding where someone is in their journey and what they are trying to accomplish at that moment. A consumer researching insurance has different needs from someone actively comparing quotes, even if both consumers share the same demographic profile.
Consumers will expect less friction
AI can move someone from a question to a useful recommendation quickly. As that becomes familiar, repetitive forms, unnecessary questions, and disconnected handoffs may feel increasingly burdensome.
Personalization will become more outcome-oriented
Consumers ultimately care about whether an experience helps them accomplish something. Find the right product. Understand their options. Save money. Get an answer. Connect with the right person.
The technology behind personalization will continue to evolve, but the consumer expectation is straightforward: make the experience relevant to what I am trying to do.
What This Means for Performance Marketing and Pay-Per-Call
For performance marketers, this shift has implications well beyond creative and targeting.
Lead quality increasingly depends on context. Knowing that a consumer is in-market for insurance provides useful information, but understanding what prompted that search, what they are looking for, and how far they are through the decision process can provide a much stronger signal.
That makes shared conversion data increasingly valuable.
When buyers and performance partners can connect consumer signals to downstream outcomes, they can learn which sources, audiences, experiences, and behaviors actually produce valuable customers. Optimization can then move closer to the consumer’s demonstrated intent rather than relying primarily on assumptions about who is likely to convert.
Pay-per-call adds another layer. The consumer’s expectation for relevance continues after the click or lead submission. If someone has taken the time to initiate a conversation, being connected with the right agent, offer, or business becomes part of the personalized experience.
AI is making consumers more comfortable with experiences that adapt to them. Performance marketing will need to adapt as well. The brands and partners that can translate richer signals into better matching, smarter routing, and more relevant consumer experiences will be better positioned to meet the new standard.
