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Athleisure Consumer
Landscape

A comprehensive survey of 2,000 U.S. athleisure consumers conducted by Alvarez & Marsal – Consumer & Retail Group. Respondents purchased athleisure within the last 12 months. The survey explores brand perceptions, shopping behavior, discovery channels, and purchase barriers across 12 major brands. For additional information, contact dlimberopoulos@alvarezandmarsal.com.

2,000
Respondents
12
Brands Covered
54
Questions Asked
n = 2,000 · Census-balanced panel · No oversampling · ~30% qualification rate · Feb 2026
Include / Exclude Brands from Charts
00

Executive Summary

Methodology

This survey was fielded in February 2026 to a U.S. census-balanced online panel of 2,000 adults aged 18–70. The sample is naturally representative by age, gender, income, and ethnicity — no oversampling or weighting was required. Respondents qualified by having purchased athleisure clothing in the last 12 months. The qualification rate was approximately ~30%.

Key Findings

Brand loyalty is the exception, not the norm. The average consumer purchased from 4.8 different athleisure brands in the last 12 months. Very few shoppers are exclusive to a single brand — they're cross-shopping freely across price tiers and positioning. This means brands compete not for loyalty but for inclusion in a rotating consideration set, making product freshness, availability, and moment-of-purchase experience critical.

The athleisure wallet is substantial and broad-based. Of consumers who purchased athleisure in the last 12 months, they report spending an average of $593 on athleisure in the last 12 months (median: $300), with spend distributed across nearly 5 brands. The gap between mean and median reflects a segment of high-value power buyers spending $1,000+ annually, while the majority of consumers maintain a steady $200–500 annual commitment to the category.

Nike and Adidas dominate awareness and purchase, but premium challengers are gaining ground. Nike (97.8%) and Adidas (94.7%) lead aided awareness, with Lululemon (95.7%) matching them. Vuori and Alo, despite ~30% awareness, command the highest NPS scores alongside Nike and Lululemon — signaling intense loyalty among their smaller customer bases.

Lululemon faces a notable awareness-to-consideration gap. Despite near-universal awareness (95.7%), a significant share of aware consumers have never considered purchasing. Price is the #1 cited barrier at 44% — more than double the next reason. This suggests a marketing and positioning challenge: the brand is well-known but many consumers self-select out before even evaluating the product. Bridging this gap — through trial programs, entry-price products, or reframing the value proposition — could unlock substantial conversion upside.

Comfort and quality trump everything. Consumers overwhelmingly prioritize comfort, quality, and fit — far ahead of brand reputation or endorsements. The brand attributes data confirms this: top-performing brands are consistently associated with "comfortable to wear" and "high quality materials."

Athleisure has fully crossed over into everyday life. Consumers wear athleisure an average of 4.8 days per week. While working out remains a core occasion, casual wear at home, running errands, and socializing now rank equally high — confirming the category has moved well beyond its performance origins into a true lifestyle play.

Word of mouth and social media rule discovery, but the final purchase decision tilts toward in-store browsing and personal recommendations. AI tools (ChatGPT, Gemini) are emerging as a discovery channel — 11% already use them — with notable skew toward younger demographics.

01

Who Are Athleisure Consumers?

Age Distribution
Q1 · "What is your age?" · n=2,000
Gender
Q2 · "What gender do you most identify with?" · n=2,000
Household Income
Q3 · "What was your annual household income before taxes?" · n=2,000
Ethnicity
Q5 · "Which ethnicity do you most identify with?" · n=2,000
Education Level
Q53 · "What is the highest level of education you have completed?" · n=2,000
Marital Status
Q54 · "What is your marital status?" · n=2,000
US Region
Census region based on respondent state · n=2,000
Urban vs Rural
Classification based on ZIP code (Q4) metro area mapping · n=2,000
02

Brand Landscape

Aided Brand Awareness
Q9 · "Which athleisure brands are you aware of?" · n=2,000
Unaided Brand Awareness
Q8 · "Which athleisure brands first come to mind?" · Any of 3 mentions · n=2,000
Unaided Top-of-Mind (First Response)
Q8 · "When you think of athleisure brands, which brands first come to mind?" · First mention · n=2,000
Purchase Funnel by Brand
Q10 · "Which statement best describes your purchase history with each brand?" · % of aware respondents
Purchased in Last 12 Months
Q10 · "Purchased in Last 12 Months" · % of aware respondents
03

Category Engagement

$593
Avg. annual spend
$300
Median annual spend
4.8
Days/week worn
4.7
Brands purchased L12M
Annual Spend Distribution
Q11 · "How much did you spend on athleisure in the past 12 months?" · n=2,000
Categories Purchased
Q12 · "What categories of athleisure products have you purchased?" · Multi-select · n=2,000
Days Per Week — Distribution
Q13 · "How many days a week do you usually wear athleisure clothes?" · n=2,000
Wear Occasions
Q14 · "On what occasions do you usually wear athleisure clothes?" · Multi-select · n=2,000
Styling Approach
Q15 · "How do you style your athleisure items?" · Multi-select · n=2,000
Shopping Factors — What Matters Most
Q17 · "What factors are most important when shopping athleisure?" · Ranked · n=2,000
04

Discovery & Channels

Discovery Channels
Q18 · "How do you usually discover athleisure clothing brands?" · Multi-select · n=2,000
Most Important Channel for Final Decision
Q19 · "Which discovery channel is most important for your final buying decision?" · Asked of Q18 respondents · n=2,000
Content Engagement
Q20 · "What type of brand content do you usually engage with most?" · Multi-select · n=2,000
Social Media Platforms
Q22 · "Which social media platforms do you use?" · Multi-select · Asked of Q18 social media respondents · n=859
Top Podcasts Listened To
Q21 · "Which podcasts do you listen to most often?" · Open-text · Asked of Q18 podcast/podcast ad respondents · n=152
Top Social Media Influencers Followed
Q23 · "Which social media influencers do you follow?" · Open-text · Asked of Q18 social media respondents · n=859
TV Channels Watched
Q24 · "Which TV channels do you watch?" · Multi-select · Asked of Q18 TV ad respondents · n=670
Shopping Locations
Q25 · "Where do you typically shop for athleisure clothing?" · Multi-select · n=2,000
Preferred Retailers
Q26 · "Who are your preferred retailers when shopping for athleisure?" · Open-text · n=2,000
Online vs. In-Store
Q27 · "Do you prefer to shop for athleisure online or in-store?" · n=2,000
Brand vs. Multi-Brand Retailer
Q30 · "Do you prefer specific brand or multi-brand retailers?" · n=2,000
Why Shop Online
Q28 · "Why do you prefer to shop online?" · Multi-select · Asked of Q27 online preference respondents · n=553
Why Shop In-Store
Q29 · "Why do you prefer to shop in-store?" · Multi-select · Asked of Q27 in-store preference respondents · n=847
Physical Interaction Requirement
Q32 · "What describes your requirement for physical interaction before purchasing?" · n=2,000
05

Brand Health — Net Promoter Score

Methodology

Net Promoter Score (NPS) is calculated by subtracting the percentage of Detractors (respondents who rated 0–6) from the percentage of Promoters (respondents who rated 9–10). Passives (7–8) are excluded from the calculation. Scores range from −100 to +100; a positive score indicates more promoters than detractors. Only brands with n ≥ 10 respondents are shown.

NPS Comparison
Q56 · "How likely are you to recommend this brand?" (0-10 scale) · NPS = %Promoters − %Detractors
Promoters / Passives / Detractors
Q56 · Stacked % · Promoters (9-10) vs Passives (7-8) vs Detractors (0-6)
Consumer Voices — NPS Verbatims
Q57 · "Why did you give this rating?" · Selected verbatims
06

Brand Attributes & Perceptions

Most Important Attributes
Q36 · "How important are each of the following attributes in deciding which athleisure brand to purchase?" · Select top 3 · n=2,000
Brand Attribute Radar
Q37 · "Which attributes do you associate with this brand?" · Toggle brands to compare
Brand Attribute Heatmap
Q37 · "Which attributes do you associate with this brand?" · % associating attribute with brand
07

Brand Deep Dive

Priority Brand Distribution
n per brand in deep-dive
Avg Annual Spend by Brand
Q41×Q42 · Estimated annual spend per brand · Last 1,000 respondents
Purchase Frequency
Q42 · "In the last 12 months, how many times have you purchased from this brand?" · Last 1,000 respondents
What Sets Brand Apart
Q38 · "What sets this brand apart?" · Multi-select · Asked of brand purchasers
Comparison to Competition
Q39 · "How do you compare this brand's product offering to other athleisure brands?"
Main Competitors Identified
Q40 · "Which brands do you consider the main competitor to this brand?" · Multi-select · By priority brand
First Discovery Channel
Q44 · "How did you first discover this brand?"
Discovery Channel × Brand — Heatmap
Q44 · "How did you first discover this brand?" · % by brand
Expected Haul Spend — Brand Comparison
Q41 · "How much would you expect to spend on one shopping haul from this brand?" · Last 1,000 respondents
Discount Behavior — Brand Comparison
Q43 · "When you purchase this brand, which describes you?" · Discount behavior · Stacked 100%
08

Barriers & Conversion

Barriers to Purchase — Brand Comparison
Q48 · "Why have you not considered purchasing this brand?" · Asked of non-considerers · Toggle brands
Factors That Prevented Purchase
Q50 · "What factors prevented you from making a purchase from this brand?" · Multi-select · By brand
What Would Encourage Purchase
Q51 · "What would encourage you to make a purchase from this brand?" · Multi-select · By brand
Most Appealing Promotions
Q52 · "What type of promotions are most appealing for an athleisure purchase?" · Multi-select · n=2,000
09

Shopper Overlap — Venn Diagram

How to Read

Select a primary universe of shoppers (all consumers, or shoppers of a specific brand) and frequency filter. Then select one or more overlap brands to see how many shoppers from your primary universe also buy those brands. Overlap is estimated using survey purchase rates.

① Primary Universe
② Overlap Brand(s)