30 Marketing Personalization Statistics, Trends, and Data Points for 2026

30 Marketing Personalization Statistics, Trends, and Data Points for 2026

By Christoph Olivier, Founder, CO Consulting · Updated July 2026
Based on 27 verified statistics from 9 sources. Every figure is attributed to a primary or credible source with its year and geography stated.

Marketing personalization has moved from a competitive edge to a baseline consumer expectation, but the data behind it is mixed and the framing matters. This briefing assembles verified personalization statistics on consumer expectations, revenue lift, adoption, data and privacy friction, and AI-driven personalization, attributing every figure to its publisher and year. Most headline numbers come from vendor or consultancy surveys with self-selected respondents, so we flag self-reported limits and vendor framing throughout rather than presenting marketing claims as settled fact.

Executive Summary

Key Findings

Consumer Expectations for Personalization

Surveys from consultancies and software vendors converge on a clear directional finding: a majority of consumers now expect personalized interactions, and disappointment carries a cost. The exact magnitude varies by survey instrument and respondent pool, so the numbers should be read as indicative rather than precise.

71% of consumers expected companies to deliver personalized interactions in McKinsey’s 2021 global survey. Source: McKinsey & Company, Next in Personalization 2021. In the same survey, 76% of consumers reported frustration when interactions were not personalized. Source: McKinsey & Company, 2021. 73% of customers expected companies to understand their unique needs and expectations, per Salesforce’s State of the Connected Customer (more than 14,300 respondents). Source: Salesforce, 2024. 84% of customers said a company’s experience is as important as its products and services. Source: Salesforce, 2022. These figures suggest expectation, not just preference, but they come from vendors that sell personalization tooling, which is a framing limitation worth noting.

Revenue Lift and Business Impact

The most-cited financial claims for personalization trace to McKinsey. They are presented as ranges, not point estimates, which is appropriate given that lift depends heavily on sector, baseline maturity, and execution quality.

Personalization most often produced a 10 to 15% revenue lift, with company-level results spanning 5 to 25%, per McKinsey’s 2021 report. Source: McKinsey & Company, 2021. McKinsey’s 2023 explainer framed the impact as a 5 to 15% revenue lift, up to 50% lower customer acquisition costs, and a 10 to 30% increase in marketing return on investment. Source: McKinsey & Company, May 2023. Fast-growing companies drove 40% more of their revenue from personalization than slower-growing peers. Source: McKinsey & Company, 2021. Across US industries, shifting to top-quartile personalization performance would generate more than $1 trillion in value. Source: McKinsey & Company, 2021. The $1 trillion figure is a modeled estimate of potential value, not realized revenue, and should be cited as such. On the vendor side, 80% of business leaders said consumers spend an average of 38% more when their experience is personalized, per Twilio Segment, 2023; this is a business-respondent perception rather than a measured transaction outcome.

Adoption and Repeat Purchase Behavior

Adoption of personalization technology is near-universal among surveyed businesses, while the consumer behavioral payoff is reported through self-assessment.

92% of businesses reported using AI-driven personalization to drive growth, per Twilio Segment, 2023. Source: Twilio Segment, 2023. 56% of consumers said they would become repeat buyers after a personalized experience, a 7-point year-over-year increase, per Twilio Segment, 2023. Source: Twilio Segment, 2023. 80% of consumers said they are more likely to do business with a company offering personalized experiences, per Epsilon, 2017. Source: Epsilon, 2017. The Epsilon figure remains one of the most widely cited personalization statistics, but it is now several years old and predates current privacy regulation and cookie deprecation, so it should be flagged as dated.

Data, Privacy, and the Trust Gap

The strongest counter-narrative to personalization enthusiasm is consumer distrust of how brands handle data. The same surveys that show appetite for relevance also show reluctance to share the data that powers it.

Only 51% of consumers said they trust brands to keep their data safe, per Twilio Segment, 2023. Source: Twilio Segment, 2023. 33% of US consumers said they never want to receive personalized interactions from companies, per Forrester, 2024. Source: Forrester, 2024. 62% of US consumers wanted economic value in exchange for personalized interactions, per Forrester, 2024. Source: Forrester, 2024. Forrester’s framing is notably more skeptical than the vendor surveys, describing consumers as lukewarm about personalization efforts, which provides a useful corrective to the more optimistic McKinsey, Salesforce, and Twilio numbers.

AI-Driven Personalization

By 2024, surveyed business leaders treated AI as the next phase of personalization rather than a side experiment. These figures come from a business-leader panel, not consumers, so they measure executive intent and belief, not consumer experience.

73% of business leaders agreed AI will change personalization and marketing strategies, per Twilio Segment, 2024. Source: Twilio Segment, 2024. 89% of business leaders believed ethical use of AI can be a competitive advantage. Source: Twilio Segment, 2024. 58% of business leaders expected AI chatbots to be the most impactful AI personalization technology over the next five years. Source: Twilio Segment, 2024. 59% of businesses expected their teams to be using AI daily by 2025. Source: Twilio Segment, 2024. 72% of companies reported using a customer data platform for personalization. Source: Twilio Segment, 2024. The 2024 Twilio Segment survey covered 521 directors and above at companies with more than 500 employees across 12 countries, a small and senior sample that skews toward larger enterprises.

Original Synthesis

The following insights are derived by combining the cited public figures. They are interpretive comparisons, not new survey data, and each carries the limitations of its inputs.

Personalization Statistics by Source and Year

StatisticValuePublisherYear
Consumers expecting personalized interactions71%McKinsey (Next in Personalization)2021
Consumers frustrated when not personalized76%McKinsey2021
Typical revenue lift from personalization10 to 15%McKinsey2021
Customers expecting companies to understand their needs73%Salesforce (State of the Connected Customer)2024
Consumers more likely to buy with personalization80%Epsilon2017
Consumers becoming repeat buyers after personalization56%Twilio Segment2023
Consumers trusting brands to keep data safe51%Twilio Segment2023
US consumers who never want personalized interactions33%Forrester2024
Business leaders: ethical AI is a competitive advantage89%Twilio Segment2024

Sources for table: McKinsey & Company (2021, 2023), Salesforce State of the Connected Customer, Epsilon (2017), Twilio Segment State of Personalization (2023, 2024), Forrester (2024). All values as published by each firm.

Revenue and ROI Ranges from McKinsey

MetricReported rangeSource and year
Revenue lift (most common)10 to 15%McKinsey, Next in Personalization 2021
Revenue lift (explainer framing)5 to 15%McKinsey, What is personalization?, 2023
Customer acquisition cost reductionup to 50%McKinsey, 2023
Marketing ROI increase10 to 30%McKinsey, 2023
Extra revenue share at fast-growing firms40% moreMcKinsey, 2021

Sources for table: McKinsey & Company, Next in Personalization 2021; McKinsey & Company, What is personalization? (May 2023). Ranges are modeled estimates, not guaranteed outcomes.

Charts to Build

Methodology

Source selection prioritized the primary publishers named for this topic: McKinsey’s Next in Personalization report and its 2023 personalization explainer, Epsilon’s 2017 research, Twilio Segment’s State of Personalization reports (2023 and 2024), Salesforce’s State of the Connected Customer, and Forrester’s consumer personalization research. Every figure was traced to the publishing firm and dated. Where a primary PDF was accessible, statistics were read directly from it (Twilio Segment 2023 and 2024 reports were parsed from the official Segment PDFs). Where direct access timed out, figures were corroborated across at least two independent sources reporting identical numbers and attributions. Conflicting framings were retained side by side rather than reconciled: for example, McKinsey’s 2021 “10 to 15%” and its 2023 “5 to 15%” revenue-lift ranges are both shown with their respective publication years. The derived insights in Original Synthesis are arithmetic or interpretive comparisons of the cited figures and introduce no new data. No statistic was invented or estimated. Inclusion required a named publisher, a year, and a verifiable figure; numbers that could not be attributed were excluded. Last updated June 2026.

Source Quality

Tier 1 (primary research, consultancy and large-sample surveys): McKinsey & Company (Next in Personalization 2021; What is personalization? 2023), Forrester (The State Of US Consumer Personalization 2024). These firms publish methodology and have institutional research reputations, though McKinsey’s numbers are consultancy-modeled.

Tier 2 (credible vendor and platform research with disclosed methodology): Twilio Segment State of Personalization (2023, n=3,001 consumers and business leaders; 2024, n=521 business leaders across 12 countries), Salesforce State of the Connected Customer (more than 14,300 respondents), Epsilon (2017, n=1,000 US adults). These are credible but vendor-published and sell personalization-adjacent products, a framing bias to disclose.

Tier 3 (reputable secondary reporting used only for corroboration): Business Chief and trade-press summaries were used solely to confirm figures already attributed to Tier 1 and Tier 2 publishers, never as a primary basis for any statistic.

Most Quotable Statistics

Data Limitations

Most figures here are self-reported survey responses, which measure stated attitudes rather than observed behavior. McKinsey’s revenue and ROI figures are consultancy models and ranges, not audited outcomes; the $1 trillion value figure is modeled potential, not realized revenue. The Epsilon 80% statistic dates to 2017 and predates major privacy regulation and third-party cookie deprecation, so it may overstate current willingness to share data. The Twilio Segment 2024 figures come from only 521 senior business leaders at large companies, a small and enterprise-skewed panel that does not represent small or midsize firms. Vendor publishers (Twilio Segment, Salesforce, Epsilon) sell personalization-related products, a framing incentive to read critically. Question wording differs across surveys, so figures such as McKinsey’s 71% “expect personalization” and Forrester’s 33% “never want personalization” are not directly comparable. Where firms revised framings across years (McKinsey 10 to 15% versus 5 to 15%), both are shown with dates.

Recommended Dataset Fields

For a downloadable CSV companion, the following fields are recommended: statistic_name, value, value_type (percentage, range, dollar, multiple), publisher, report_title, publication_year, geography, sample_size, respondent_type (consumer or business_leader), survey_dates, source_url, tier, and limitation_flag.

Press Summary

Marketing personalization is now a consumer baseline, but the evidence is more contested than vendor marketing suggests. McKinsey reports that 71% of consumers expect personalized interactions and that personalization most often lifts revenue 10 to 15% (2021). Twilio Segment finds 56% of consumers become repeat buyers after a personalized experience, yet only 51% trust brands to keep their data safe (2023). Forrester offers the sharpest counterpoint: 33% of US consumers say they never want personalized interactions (2024). On AI, 73% of business leaders agree AI will reshape personalization and 89% see ethical AI as a competitive advantage (Twilio Segment, 2024). The throughline is a widening gap between adoption and trust: businesses are racing into AI-driven personalization while a meaningful minority of consumers remain skeptical or opposed. Reporters citing these numbers should note that most come from vendor or consultancy surveys with self-reported responses and differing question wording. For research-led analysis, see CO Consulting.

Suggested Headlines

FAQ

This briefing is published by CO Consulting as research, not marketing. For a tailored review of personalization data for your sector, you can book a consultation.

Cite this research

CO Consulting. "30 Marketing Personalization Statistics, Trends, and Data Points for 2026" christopholivierconsulting.com, 2026. https://christopholivierconsulting.com/personalization-statistics/


Related research

About the author

Christoph Olivier Christoph Olivier is the founder of CO Consulting and a fractional CMO who has managed millions of dollars in ad spend and built a combined audience of over a million followers across social platforms. He works with 7- and 8-figure businesses, primarily in tax, M&A, consulting, real estate investing, capital raising, and financial services. His edge is a practitioner’s command of every major marketing channel, theory and execution, backed by the original marketing data reports he publishes here on CO Consulting.

Follow: YouTube · Instagram · LinkedIn

Leave a Reply

Your email address will not be published. Required fields are marked *