45+ Personalization Statistics for 2026: AI, ROI & Consumer Trust

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by Josh Howarth
Last Updated: September 22, 2026

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Personalization allows brands to create experiences tailored specifically to individual customers.

In many ways, personalization is a win-win situation for all parties: shoppers are more likely to see messaging and products they actually want to purchase. Businesses get a higher return on their marketing budgets.

However, many of today’s personalization techniques rely on cookies and third-party data. With concern around data privacy at an all-time high, the future of personalization is up in the air.

With that, here is the latest list of personalization stats:

Contents

Top Personalization Statistics

Before diving into the complete list, take a look at some of the most interesting data around personalization.

  • AI-driven personalization can raise revenue by up to 8%
  • 87% of brands plan to increase personalization spending in 2026
  • The recommendation engine market is forecast to reach $33.2 billion by 2030
  • 93% of marketers say AI helps them understand customers, but only 53% of consumers feel brands predict their needs
  • 74% of shoppers are more likely to buy when they receive a personalized offer
  • 78% of Americans would trade personal data for discounts and shopping perks
  • 80% of consumers will share personal data in exchange for deals or offers
  • Agentic commerce could generate up to $1 trillion in US retail revenue by 2030

Personalization Business Statistics

Businesses are increasingly scaling personalization with AI technology.

McKinsey reports that AI-driven personalization enhances customer satisfaction by 15% to 20%. 

The impact on revenue is more moderate, up to 8%, but far from negligible. 

For retailers, targeted promotions can improve sales by 1% to 2%.

Another 2025 survey confirms that AI-enhanced personalization increases customer spend, with 75% of participants agreeing with this statement.

Companies continue to invest in improving personalization and see it as a top priority for future objectives (Twilio).

In a recent Adobe survey, 80% said they see highly personalized experiences as a breakthrough target in the next 2-3 years. 

In addition, 56% mentioned personalization among the top 3 AI investment priorities in the next 18 months. 

This was followed by customer satisfaction and engagement at 46% (Adobe).

The need for personalization is also felt strongly in content. 

78% of marketers expressed dissatisfaction with their inability to produce enough personalized content as they need (Salesforce).

 For 75% of these, AI is a natural answer for scaling personalized content.

Recommendation engines are a key component of personalization in marketing.

As an industry, it reached a value of $9 billion in 2025 (Mordor Intelligence).

Projections are enthusiastic, with some estimates placing the recommendation engine market value at $33.2 billion by 2030 (Grand View). 

That’s a CAGR of 36.3% .

The same growth trajectory is forecasted for the personalization software market.

It’s well on its way to hit $14.44 billion by the end of 2026, and continue its ascent to $45.11 billion by 2032 at a 20.85% CAGR (360iResearch).

By industry, the skin care market is well attuned to increased personalization efforts. 

Valued at $34.8 billion today and projected to cross $74.2 billion by 2033, the skin care industry is moving toward personalization to the point where generic skin care may soon become outdated (Grand View). 

Personalization Marketing Statistics

Marketers largely agree on the value and impact of personalization. 

93% say that personalization improves key metrics like sales and leads (HubSpot). 

Yet, there’s a glaring disconnect between the perceived value of a strategy and how widely it’s actually applied. 

According to HubSpot, hyper-personalization is barely adopted, with only 13% of marketers adopting advanced personalization.

In the majority of cases, the degree of personalization remains largely confined to simple tactics, such as addressing leads/customers by name in emails, which is used by 53%. 

47% say they use audience segmentation to personalize marketing for consumers. 

This raises the question: what’s stopping marketers from acting with greater personalization in their campaigns?

Primarily, it’s the lack of access to key consumer data points that prevents personalization beyond getting on a first-name basis with your audience. 

Only 16% of marketers feel they know their audience’s pain points, and 17% feel they know about past customer experiences and preferences. 

Another challenge for marketers is the lack of clear quantification of the actual impact of personalization.

A recent survey of agency marketers found that 77% struggle to quantify and communicate the results of personalized campaigns convincingly (StackAdapt). 

29% feel social media shopping tools like Instagram Shops are among the most effective personalization/segmentation channels, making it the top use case (HubSpot). 

Website/blog/SEO comes second at 28%, while paid social media and email marketing are tied at 26%.

Yet, despite their best efforts, a large gap remains between marketers’ personalization efforts and consumers' perception of personalization.

93% of marketers think AI is improving their ability to gather consumer insights, but only 53% of consumers feel brands are delivering what they actually need (Braze).

Other industry surveys confirm this disconnect. Amperity found that as much as 57% of consumers feel their experience was generic even when brands claim to use personalization. 

Personalization Consumer Insights

From the consumer’s perspective, personalization is all about seeing relevant content, finding the right products, and shopping with brands that understand their wants and needs.

74% of retail customers are more likely to buy from brands delivering personalized offers (Amperity). 

Personalization also meaningfully impacts consumer loyalty.

According to Braze, personalization increases likelihood of brand loyalty by 30%. 

Additionally, customers of brands that are good at predicting customer needs are more likely to recommend the brand to others by as much as 26%.

The impact of personalization on repeat purchases is also evident.

93% of shoppers feel they want to come back to a brand for more shopping if they’re receiving personalized offers and experiences (Attentive).

There’s a flipside to this too. A different survey found that 71% of consumers pull away from shopping if their experience lacks personalized relevance (Twilio).

These trends show that personalization isn’t merely a pathway to improved sales and brand loyalty. 

It’s a necessary component of customer experience for any brand that doesn’t want to risk high abandonment and customer churn. 

One of the ways that brands can better meet customer expectations with personalization is by using more relevant messaging. 

A recent study by Attentive shows that 64% of customers feel messaging from brands isn’t tailored to their preferences and needs.

78% of American consumers are happy to share personal information in exchange for discounts and shopping perks (Incogni).

Despite rising concerns about data privacy, nearly 20% of Americans are willing to share personal data if it means getting a discount of just 10%. 

Even more people are willing to share personal data for higher discounts: about 27% would consider trading data for a discount of at least 25%. 

At the same time, 95% of Americans have concerns about data breaches. 

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Google searches for “data privacy” are up 567% over the past 5 years. 

Some consumer attitudes are borderline paradoxical.

71% of shoppers are making privacy-enhancing choices. Yet, 69% of them still want brands to use their buying habits to provide personalized shopping.

In short, people are aware of the risks and want to avoid falling victim to encroachments on privacy. But they’re open to balancing the risks with rewards if retailers offer meaningful benefits for trading data. 

AI is playing a key role in improving consumer experience with personalized recommendations.

39% of consumers say they have used AI before for online shopping, and 85% of them say it improved their experience (Adobe).

That’s a statistically significant number showing that shopping consumers are usually satisfied by the quality of recommendations coming from AI engines.

AI also ranks high in the view of consumers in a comparative sense. About 46% believe AI brings more relevant recommendations that are tailored to their needs and preferences than other sources.

The Future of Personalization

Brands have seen the impact of personalization and are already investing considerably in personalization-enhancing strategies and technologies. 

With AI advancement, the opportunities for creating gathering consumer insights and creating personalized experiences are greater than ever. 

As much as 87% of the brands surveyed in StackAdapt’s research are planning to increase personalization spending in 2026. 

The major challenge that brands will likely have to navigate around are data privacy laws and growing consumer distrust about sharing data. 

Gartner advises using personal data actively shared by consumers rather than relying on collected or inferred data consumers haven’t expressly provided. 

When customers feel their experience is personalized, their likelihood of purchasing more than originally intended increases by 270%.

High-performing teams using AI for better access to available consumer data are 2.8 times more likely to use that data and create relevant experiences (Salesforce). 

That’s one solution to the problem of siloed customer data fragmented across channels; a challenge that’s frequently cited by marketers as one inhibiting their ability to personalize well enough. 

McKinsey sees context-aware AI that takes into account user intent from interactions to create highly tailored recommendations as one of the most promising developments for personalization in eCommerce.

Forecasts for agentic commerce in the US B2C retail market alone put revenue around $1 trillion by 2030. Globally, this can reach $3 trillion to $5 trillion. 

Wrap Up

Personalization is a multi-billion-dollar industry that’s become widely accepted by businesses, marketers, and consumers alike.

It’s so ingrained in our digital lives that we often don’t realize it’s happening. Our social media feeds, inboxes, and favorite online shopping sites are providing personalized experiences.

While questions surrounding data privacy make the future of personalization hard to predict, one thing is certain: customers want personalization. With billions of dollars at stake, brands are sure to find new ways to make personalization work in the future.

If you found these statistics insightful, take a look at these related pages: Personalization Trends and Key Consumer Behavior Trends.

Stop Guessing, Start Growing 🚀

Use real-time topic data to create content that resonates and brings results.

Exploding Topics is owned by Semrush. Our mission is to provide accurate data and expert insights on emerging trends. Unless otherwise noted, this page’s content was written by either an employee or a paid contractor of Semrush Inc.

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Written By

Josh Howarth

Co-Founder & CTO

Josh is the Co-Founder and CTO of Exploding Topics. Josh has led Exploding Topics product development from the first line of co... Read more