{"id":116419,"date":"2025-08-12T21:01:00","date_gmt":"2025-08-13T04:01:00","guid":{"rendered":"https:\/\/zetaglobal.com\/?post_type=insight&p=116419"},"modified":"2025-08-12T14:17:22","modified_gmt":"2025-08-12T21:17:22","slug":"personalization-roi-boost-revenue","status":"publish","type":"insight","link":"https:\/\/zetaglobal.com\/resource-center\/personalization-roi-boost-revenue\/","title":{"rendered":"The ROI of Relevance: How Personalization Offers a Key to Combat Rising Prices"},"content":{"rendered":"\t\t
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\n\t\t\t\t\tThe ROI of Relevance:<\/strong> How Personalization Offers a Key to Combat Rising Prices<\/span><\/span>\u00a0<\/span>\t\t\t\t<\/h1>\n\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t
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Consumers are watching prices more closely than ever. According to new research from Magna Media Trials and Zeta<\/a>,<\/strong> more than 80% of people across all income levels say price now plays a bigger role in what they buy than it did two years ago. That shift spans everything from groceries and personal care to alcohol and tech.<\/p>

This intense focus on cost means marketers must work harder to earn attention and drive sales. But the data also shows that relevant, data-driven personalization can help.<\/p>

The research measured how different types of personalized ad messages influence purchase behavior across various product categories. The results show that when brands create relevant, individualized experiences, people are more likely to choose that brand and more willing to pay more for it.<\/p>

Price Sensitivity Reaches Every Corner of the Market<\/h2>

Compared to two years ago, 58% of consumers say price matters more for groceries, and 52% for travel and technology purchases. Categories once considered less price-sensitive\u2014including health and wellness, household essentials, and automotive\u2014also show significant increases in price consideration.<\/p>

This shift creates a critical challenge for brands: How do you maintain market share and pricing power when consumers scrutinize every purchase decision?<\/p>

Personalization Feels More Acceptable Now, But It Has Limits<\/h2>

Consumers are more open to personalization than they were five years ago. Our research found that 97% of people now expect some form of personalization from ads they see.<\/p>

Driving this acceptance is the general feeling that brands are now able to deliver more relevant and useful experiences. Consumers also cite improved transparency and better control over data and privacy settings as key factors in their growing comfort.<\/p>

However, even with broader acceptance, most consumers still feel like too much personalization can be \u201ccreepy.\u201d When brands over-personalize, people become less interested in learning about the brand and may trust it less.<\/p>

Similarly, when brands miss the mark and deliver irrelevant experiences, it can damage brand reputation. In fact, the study found that a message with incorrect information reduced people\u2019s likelihood of choosing the brand over a competitor by 43% compared to generic content. In other words, if you\u2019re going to personalize, do it well\u2014or don\u2019t do it at all.<\/p>

Demographic Differences Drive Strategy<\/h2>

Younger generations show significantly higher acceptance of data usage for personalization. Millennials lead in comfort with all personalization types, followed by Gen X, Adult Gen Z, and Baby Boomers. For example, 69% of Millennials find it appropriate for brands to use previous purchase data for personalization, compared to just 45% of Baby Boomers.<\/p>

This generational divide requires marketers to adjust their personalization strategies based on target demographics. Campaigns targeting younger consumers can leverage more sophisticated data points, while those aimed at older demographics should be more mindful of data sensitivity and transparency.<\/p>

Personalization Lifts Purchase Intent and Spending (If Done Well)<\/h2>

Our research tested more than 220 brand messages across four product categories: grocery, wine, beer, and wearable tech. Each message leveraged different personalization data, including transactional history, browsing behavior, life stage, and psychological traits. The control messages weren\u2019t personalized at all.<\/p>

The results showed a clear pattern. Personalization made people 7% more likely to choose a specific brand. For people who were actively in-market, that number jumped to 26%. Personalization also changed what people were willing to pay. Consumers reported that they\u2019d pay 1.8% more for products like wine and groceries after seeing personalized messages. For wearable tech, the lift was 2.7%, and beer showed a 0.9% increase.<\/p>

These numbers add up fast. The study projected that a 1.8% lift in price tolerance for a $3.1 billion food brand could lead to $55 million in new revenue. As such, a +1.2% bump for a $59.8 billion beer brand could mean an increase of $717 million.<\/p>

Some Types of Data Work Better Than Others<\/h2>

Not all personalization delivers equal results. The most effective strategies connect where consumers are in their lives with what they buy.<\/p>

There are four primary data types marketers can use to drive purchase decisions:<\/p>