Why Personalization in Advertising Falls Short of Customer Expectations: Adobe and Forrester Data

Three-quarters of consumers and B2B buyers expect companies to understand when, where, and how they prefer to receive personalized offers. Yet only half of marketers consider understanding customer context a priority for their teams—according to research by Adobe and Forrester Consulting in Q1 2025. The gap between audience expectations and brand capabilities is widening: personalization is no longer perceived as a competitive advantage; it has become a basic requirement that most companies fulfill merely as a formality.

Recognition instead of understanding: why adding a name to an email stopped working

Most brands have learned to recognize customers: they know their name, purchase history, loyalty level. The system tracks that a person visited the website, added an item to their cart, placed an order. But recognition is not understanding. Recognition answers the question "who," understanding answers "why right now."

The research identifies specific problems: a customer receives a promotional email offering a product the day after they bought it. Someone books a hotel through an app for a business trip, and the system suggests a family room and children's menu—because a month ago they searched for vacation options with kids. A patient fills out a form at a clinic even though they submitted the same information online three days earlier.

More than half of buyers note that companies fail to understand their communication preferences and don't prioritize moments where personalization truly matters.

Context changes faster than data in a CDP

Customer data platforms store attributes: demographics, purchases, clicks. But they don't capture intent in a specific moment. Someone who searched for a hotel for a business trip on Monday might be searching for a family room on Thursday. The algorithm sees only the latest session and suggests options near the airport for a single guest.

Russian brands face the same problem. Marketplaces send push notifications with personal discounts on categories customers have already bought. Banks offer credit cards to people who just closed a loan. Retailers show ads for products sitting in a cart instead of reminding customers with an additional purchase incentive.

The problem isn't the volume of personalization—teams create more segments and triggers than ever. The problem is relevance. The system knows the history but doesn't understand the task the person is solving right now.

Where the illusion of "they understand me" breaks down

Every brand has moments where the feeling of "they know me" falls apart. A customer enters preferences in their profile, but recommendations ignore these settings. Someone signs up for a subscription through a mobile app, but the website asks them to enter their information again. A buyer keeps an item in their cart for a month, buys it, and receives an email the next day offering the same product at a discount.

Adobe and Forrester found that some customers describe personalization as intrusive or disconnected from reality. The reason is that brands optimize processes for their own internal metrics—open rates, click-through rates, segment conversion—rather than for customer convenience and behavior logic.

What this means for the Russian market and blogger advertising

In Russia, personalization develops unevenly. Large marketplaces and banks invest in CDPs and automation, but often use only surface-level scenarios: "you viewed it—we recommend it." Small and medium businesses operate even more simply: segmentation by demographics and purchase history without considering current context.

Influencer marketing offers an advantage in this situation: a blogger can integrate a product into their story in a way that feels like a natural part of their audience's life. Followers see not an abstract offer but a specific use case. Yet brands often make mistakes here too: they send identical briefs to all influencers, ignore audience specifics, and don't account for the fact that the same product solves different problems for different people.

Ad labeling raises demands for transparency: if an integration looks forced, the audience will notice and react negatively. Personalization in influencer work isn't about using a subscriber's name; it's about selecting an influencer whose audience is in the right context right now.

How to build personalization that accounts for context

To close the gap between recognition and understanding, brands need to rethink their data architecture and trigger logic. Context changes faster than CRM profiles update, so it's important to capture not just actions but also signals of intent.

Practical checklist for marketers:

• Audit your current personalization scenarios: list all trigger emails, pushes, and recommendations. Check whether they account for recent customer actions or only history.
• Add a time-based filtering layer: if a customer bought a product, exclude them from offers for that same product for at least three months.
• Track not just clicks but also rejections: if a customer ignores a recommendation three times, it's irrelevant—remove it.
• Test frequency: personalization shouldn't be constant. Sometimes brand silence is also a form of respect for the customer.
• Integrate data from different channels: if someone placed an order through an app, the website should know about it.
• When working with bloggers: segment influencers not just by reach but by content context. The same product can be integrated into different stories for different audiences.

How to measure whether personalization has become more relevant

Personalization metrics often come down to open rates and CTR. But these numbers don't reflect the quality of customer understanding. More accurate indicators:

• Unsubscribe rate after personalized campaigns: if it's growing, offers are perceived as intrusive.
• Frequency of repeated support inquiries about the same issue: if a customer has to explain again, the system didn't retain context.
• Repeat purchase conversion: if personalization works, customers return faster.
• NPS and qualitative feedback: direct statements like "the brand understands me" or "offers are off-topic" are signals numbers won't show.

Frequently asked questions

What's the difference between recognizing a customer and understanding their needs

Recognition is data capture: name, purchase history, loyalty level. Understanding is the ability to predict what a customer needs in a specific moment based on current context, not just past behavior. The first is stored in a database; the second requires real-time analysis of intent.

How can a brand tell if personalization has become intrusive

Monitor unsubscribe rates from campaigns, frequency of support complaints, comments on social media, and comments on influencer posts. If customers write "this offer again" or "already bought it," the system is ignoring the current context and operating on old logic.

Why does personalization in influencer marketing work better than direct advertising

A blogger integrates a product into their life and the story they tell their audience. Followers see not an abstract offer but a specific use case that resonates with their own tasks. This works only if the brand chose the right influencer and understood their audience's specifics.