25 Clienteling Statistics Retailers Need to Know in 2026

These clienteling statistics come from primary research by McKinsey, Bain and Company, Deloitte, Boston Consulting Group, Zebra, and Endear's own benchmark data covering more than 1,000 retail locations across 19 countries. Every figure is cited inline. Whether you are making the case to leadership or evaluating where to invest next, this is the data that holds up.

For a deeper look at how these dynamics play out in practice, see From First Time Purchase to Repeat Revenue and What Luxury Clienteling Actually Looks Like in 2026.

Key takeaways:

• Personalization leaders generate 40% more revenue than slower-growing competitors (McKinsey)
• 63% of consumers are more likely to return to a store when an associate follows up personally (Censuswide survey of 1,000 US consumers)
• A 5% improvement in retention can boost profits by 25-95% (Bain and Company via HBR)
• Clienteling SMS converts at 5.41% on average, against a 0.07% industry benchmark for standard retail SMS (Endear 2025 Clienteling Benchmarks)

Customer Experience and Personalization Statistics

1. 89% of Business Leaders Say Personalization Is Critical to Success

An overwhelming 89% of business leaders recognize personalization as critical to their success over the next three years, according to Twilio Segment's State of Personalization Report. This is not aspirational language – it reflects market-wide acknowledgment that generic customer experiences no longer generate competitive results. Retailers who invest in clienteling systems are directly acting on what their own leadership says matters most.

2. Personalization Leaders Generate 40% More Revenue Than Competitors

Companies that excel at personalization generate 40% more revenue than slower-growing competitors, according to McKinsey research. The gap compounds over time as leaders improve each interaction with customer data while laggards rely on mass marketing. This single statistic justifies the investment in clienteling at most mid-market retailers.

3. Clienteling SMS Converts at 5.41% Across More Than 1,000 Retail Locations

Associate-sent clienteling SMS converts at an average of 5.41% and draws a 6.77% reply rate, according to the 2025 Clienteling Benchmarks, which aggregates full-year 2024 data from more than 1,000 retail locations across 19 countries and five verticals. These figures reflect the performance of retailers running active clienteling programs rather than a whole-industry average. The gap between associate-led outreach and broadcast messaging is the clearest operational case for shifting to clienteling.

4. 71% of Consumers Expect Personalization; 76% Feel Frustrated Without It

Personalization has moved from a competitive differentiator to a baseline requirement. Retailers who fail to deliver it are creating active negative sentiment in three-quarters of their customer base.

5. Omnichannel Shoppers Spend 9% More Per Store Visit and Are 23% More Likely to Recommend Your Brand

A Harvard Business Review study of 46,000 shoppers found that customers using four or more channels spent 9% more per in-store visit than single-channel shoppers, made more repeat visits over six months, and were 23% more likely to recommend the brand. Clienteling is the operational layer that makes the omnichannel experience coherent for each individual customer. Without it, cross-channel data sits in silos and associates cannot act on it.

Retention and Loyalty Statistics

6. A 5% Increase in Retention Can Boost Profits by 25-95%

Bain and Company research shows a 5% increase in customer retention rates can drive profit increases ranging from 25% to 95%. Retained customers spend more per transaction, require less marketing investment, and refer others. This is why clienteling programs focused on existing customer relationships consistently deliver higher ROI than equivalent acquisition spend.

7. 64% of Shoppers Prefer Stores With Knowledgeable Associates; 75% Spend More After Quality Service

LS Retail research found 64% of shoppers are more likely to visit a physical store specifically because of knowledgeable associates, and 75% are likely to spend more after receiving high-quality in-store service. Associate expertise functions as both a traffic driver and a revenue multiplier. Retailers who give their staff access to customer data – purchase history, preferences, occasion triggers – enable that level of service at every interaction. For more on building that capability, see How to Collect Consumer Data for Better Clienteling.

8. Acquiring a New Customer Costs 5-25 Times More Than Retaining an Existing One

The cost of customer acquisition is 5 to 25 times higher than the cost of retention, according to Invesp analysis. Even at the low end, this cost differential makes retention-focused clienteling one of the highest-ROI strategies available to a multi-store retailer. Every repeat visit a clienteling program generates is a fraction of what paid acquisition would cost for the same transaction.

9. 82% of Consumers Will Share Personal Data for a More Personalized Experience

Twilio Segment research shows 82% of consumers are willing to share personal data when it leads to a better shopping experience. The barrier to building comprehensive customer profiles is lower than most retailers assume. When customers understand what they get in return, they become active participants in creating the context associates need to serve them well.

10. 55% of Consumers Have Bought Something Because an Associate Followed Up

More than half of consumers, 55%, say they have made a purchase because of follow-up communication from a store associate, and just over a third say they have done so more than once. A single follow-up is not a one-time win; it establishes a pattern of repeat purchasing that compounds across the customer relationship. This is the financial case that converts leadership skeptics.

Sales and Revenue Impact Statistics

11. 76% of Consumers Say Personalized Communications Prompted Purchase Consideration

McKinsey research found 76% of consumers cited a personalized communication as a direct trigger for considering a purchase. Generic broadcast messaging cannot reliably produce this effect. Retailers using clienteling platforms to send associate-authored, customer-specific outreach capture this consideration advantage at scale.

12. 63% of Consumers Are More Likely to Return to a Store After a Personal Follow-Up

A nationally representative survey of 1,000 US consumers aged 24 to 54, conducted by Censuswide in February 2026, found 63% are more likely to return to a store if an associate follows up with them personally. Six in ten said they want that outreach to come from an associate rather than from automated marketing. Increasing associate outreach is one of the most reliable revenue levers retailers have direct control over.

13. Personalization Leaders Grow Revenue 10 Percentage Points Faster Every Year

Boston Consulting Group's Personalization Index found that leaders grow revenue 10 percentage points faster annually than laggards, and projects $2 trillion in revenue shifting toward them over five years. The research draws on 5,000 consumers across ten countries plus interviews with 100 senior industry leaders. Compounded annually, a ten point growth gap is the difference between leading a category and defending share in it.

14. Nearly 90% of Store Associates Say Mobile Technology Helps Them Deliver Better Service

Zebra's 17th Annual Global Shopper Study, which surveyed more than 4,200 shoppers, associates, and retail decision-makers, found nearly 90% of associates believe they can provide a better customer experience when mobile technology lets them communicate in real time, prioritize tasks, and check prices and inventory. Associates understand what they need; they simply lack the tools. Platforms like Endear give frontline staff a mobile CRM with AI-powered customer queues, full purchase history, and outreach tools for email, SMS, and WhatsApp that work from any device on the floor.

15. 61% Will Spend More for a Customized Experience, But Only 26% Say They Get One

Medallia research found 61% of consumers are willing to spend more with companies that offer a customized experience, while only 26% of retail consumers described their recent interactions as highly personalized. The study surveyed 1,905 retail consumers and 1,749 hotel guests in November 2023, weighted to US census age and gender distribution. That 35 point gap is unclaimed margin: customers have already agreed to pay the premium, and most retailers are not yet giving them a reason to.

Customer Behavior Statistics

16. 60% of Consumers Say Personalization Directly Influences Their Purchase Decisions

Moodmedia's 2024 retail consumer research found 60% of consumers say personalization actively shapes what they decide to buy. These shoppers browse longer, consider more items, and complete purchases at higher rates when the experience feels tailored to them. Clienteling tools give associates the customer context they need to create those moments at every store interaction.

17. 77% of Consumers Prefer Brands That Offer Personalized, Data-Driven Experiences

Moodmedia's research found 77% of consumers prefer brands that use their data to create relevant experiences, and 75% actively prefer retailers that personalize based on stored preferences. Consumer acceptance of data-driven personalization is high when the experience delivers value. This is the permission retailers need to build comprehensive customer profiles through clienteling.

18. 74% of Gen Z and 68% of Millennials Check Social Media Multiple Times Per Day

These touchpoints represent engagement opportunities for retailers whose associates use social channels as part of their outreach strategy. Clienteling that extends beyond email and SMS to meet younger customers on their preferred platforms captures attention at higher frequency and drives more repeat visits.

19. Mobile Shopping Drove 53% of Online Sales During the 2024 Holiday Season

Adobe Analytics data shows mobile shopping drove 53% of online sales during the 2024 holiday season, marking the first time mobile accounted for the majority. Mobile is no longer an alternative channel. Clienteling platforms must support SMS outreach, mobile-optimized product recommendations, and associate tools that function from any device to capture this majority of online purchasing behavior.

20. The Probability of Selling to an Existing Customer Is 60-70% Versus 5-20% for New Prospects

Research on customer conversion rates, cited in Harvard Business Review, shows the probability of successfully selling to an existing customer is 60-70%, compared to just 5-20% for a new prospect. This conversion gap explains why the customer book – the list of known, engaged customers an associate actively maintains – is one of the most valuable assets in retail. Clienteling formalizes that asset and scales it across every associate in every store.

Technology and Implementation Statistics

21. CRM Users Are 86% More Likely to Exceed Their Sales Goals

Businesses using a CRM are 86% more likely to exceed their sales goals than those relying on informal systems, according to Freshworks research. Clienteling platforms build on this with retail-specific data: size profiles, style preferences, anniversary triggers, and special occasion tracking. This retail context is what turns a generic CRM into a tool associates actually use on the floor. See Best Clienteling Software for Retail Brands for a comparison of purpose-built options.

22. Mobile CRM Users Are 150% More Likely to Exceed Sales Targets

The advantage compounds when CRM is mobile: businesses using mobile CRM are 150% more likely to exceed their sales targets than those using fixed-terminal systems. Associates can access customer data on the floor during the conversation, not only at the register after the fact. Mobile access changes when and where effective clienteling happens.

23. Only 14% of Companies Successfully Integrate Customer Data Across Their Organization

Deloitte Digital research found only 14% of companies have successfully unified customer data across departments. This fragmentation prevents consistent personalization because different systems hold different parts of the customer record. Retailers who solve data integration gain an advantage that 86% of competitors cannot match.

24. AI Personalization Can Reduce Acquisition Costs by 50% and Lift Revenue by 5-15%

McKinsey research on AI-driven personalization found it can reduce customer acquisition costs by up to 50% and lift revenues by 5-15%, while improving marketing ROI by 10-30%. Applied to clienteling, AI identifies which customers to contact, what to recommend, and when to reach out. That is what tools like Endear's AI Opportunity Engine are built to do at store scale.

25. Personalization Leaders Measure a Campaign in a Week; Everyone Else Takes Two to Three Months

BCG found that the average company needs two to three months to run and measure a personalization campaign, while personalization leaders do it in a week or less. Speed of learning, not size of budget, is what separates the two groups: a retailer testing weekly runs ten times the experiments per season. Retailers who start building associate-customer relationships now begin compounding that advantage before the next peak period.

What These Clienteling Statistics Mean for Your Retail Business

The data points consistently in one direction: retailers who invest in personal, data-driven customer relationships outperform those who rely on mass marketing and transactional service. The conversion rates, revenue lifts, and retention gains in this article come from primary research across thousands of stores, not case studies from a single brand.

If you are ready to see how these results translate to your store fleet, see how Endear works.

Frequently Asked Questions About Clienteling

What is clienteling in retail?

Clienteling is the practice of using customer data – purchase history, preferences, and behavioral signals – to enable store associates to deliver personalized, proactive service. It typically involves a dedicated clienteling platform that gives associates a mobile view of their customer book and outreach tools for email, SMS, or messaging apps.

What ROI can retailers expect from a clienteling program?

On the demand side, a Censuswide survey of 1,000 US consumers found 63% are more likely to return to a store after a personal follow-up and 55% have bought something because of one. McKinsey research shows personalization leaders generate 40% more revenue than competitors, and BCG puts the annual revenue growth gap between leaders and laggards at 10 percentage points. Results vary by program maturity and outreach volume.

How does clienteling improve customer retention?

Clienteling improves retention by creating ongoing, personalized relationships between associates and specific customers. Bain and Company research shows a 5% retention improvement can increase profits by 25-95%. Because existing customers cost 5-25x less to serve than new ones (Invesp), every retained customer improves both revenue and margin simultaneously.

What technology do store associates need for effective clienteling?

Associates need a mobile CRM that surfaces individual customer history and preferences, AI-powered signals for which customers to contact and what to recommend, and outreach tools for email, SMS, and social messaging. Zebra's 17th Annual Global Shopper Study found nearly 90% of associates believe mobile technology lets them deliver a better customer experience. The key is putting customer context in the associate's hand during the conversation, not after it.

How is clienteling different from a standard CRM?

A standard CRM tracks contacts and pipeline. A clienteling platform is retail-specific: it stores size profiles, style preferences, purchase patterns, and special occasions, and surfaces this data on a mobile device during customer interactions. It also tracks which outreach messages influenced sales. The 150% sales goal overachievement rate for mobile CRM users (Freshworks) reflects this operational difference – context at the moment of conversation drives outcomes that post-transaction data entry cannot.