Digital Marketing In The Apparel Industry Statistics
Apparel brands must harness booming ecommerce and digital ads with personalization, video, and mobile.
With global apparel e-commerce climbing from $781.9 billion in 2021 to a projected $1,426.5 billion by 2026, digital marketing is no longer optional for fashion brands, especially as advertising, social, and shopping behavior shift toward smarter, mobile-first, personalized journeys.
Executive Summary
Key Takeaways
- 01
Global apparel e-commerce revenue reached $781.9 billion in 2021, projected to reach $1,426.5 billion by 2026
- 02
The U.S. digital advertising market is projected to reach $301.2 billion in 2024
- 03
Worldwide retail e-commerce sales are forecast to reach $7.4 trillion in 2025
- 04
In 2023, US shoppers who discovered products via social media were 24.8%
- 05
In 2022, 64% of consumers said they are more likely to purchase from brands that provide personalized experiences
- 06
80% of shoppers say they would like to see more video content from brands
- 07
Email marketing yields an average ROI of $36 for every $1 spent
- 08
SMS marketing has an ROI of $32 per $1 spent
- 09
Paid search CTR for retail averages about 1.91% across industries
- 10
68% of consumers said they would consider switching to a brand with better loyalty offers
- 11
Loyalty programs increase repeat purchase rates; members are 37% more likely to repurchase
- 12
Personalized product recommendations can lift revenue by 10% or more in e-commerce
- 13
53% of companies use Google Analytics
- 14
63% of organizations use marketing automation software
- 15
Customer data platforms (CDP) market is projected to reach $3.9B in 2024
Section 01
Audience & Behavior
In 2023, US shoppers who discovered products via social media were 24.8% [1]
In 2022, 64% of consumers said they are more likely to purchase from brands that provide personalized experiences [2]
80% of shoppers say they would like to see more video content from brands [3]
73% of consumers say that customer experience is an important factor in their purchasing decisions [4]
In 2022, 75% of consumers used social networks to connect with brands [5]
59% of online shoppers say they need to trust a brand before they buy [6]
54% of consumers want to see more content on social media from brands they follow [7]
47% of consumers expect that brands will understand their needs and expectations [8]
In 2023, 38% of consumers used TikTok to shop at least once [9]
In 2022, 30% of consumers in the US said they discovered products on Instagram [10]
62% of consumers purchase from brands that use personalization [11]
In 2021, 86% of consumers said they would pay more for a great customer experience [12]
79% of shoppers say they trust online reviews as much as personal recommendations [13]
49% of consumers said they are more likely to purchase when the website has relevant recommendations [14]
56% of shoppers said they will leave a website if it’s difficult to use [15]
71% of consumers who had a positive experience with a brand were likely to recommend it [16]
In 2023, 48% of shoppers want brands to show how products fit [17]
66% of consumers say they research products online before buying in-store [18]
60% of consumers say that product videos help them decide [19]
45% of consumers say they buy brands because they have values aligned with them [20]
69% of consumers say customer service matters when choosing a brand [21]
52% of consumers said they have abandoned a purchase due to poor mobile experience [22]
74% of shoppers rely on mobile for browsing [23]
46% of consumers said they were influenced by influencer content in their purchase decision [24]
33% of consumers said they’ve purchased something directly after seeing it on TikTok [25]
53% of consumers said that product imagery influences their purchasing decisions [26]
40% of consumers said they need free returns to buy online [27]
57% of shoppers said they are willing to share personal data for a better experience [28]
65% of consumers say they would rather shop on a site with a fast checkout [29]
58% of consumers said they are more likely to buy from brands with good reputation [30]
85% of shoppers are more likely to buy if the brand offers personalization [31]
71% of consumers expect companies to deliver personalized interactions [32]
47% of consumers said product recommendations based on past purchases influence what they buy [33]
39% of consumers said they would stop using a website that doesn’t work on their phone [34]
For fashion, 64% of shoppers follow at least one brand on social [35]
About 45% of consumers use mobile devices to shop online [36]
In 2024, 54% of consumers are willing to share data for personalized offers [37]
68% of consumers expect retailers to provide product recommendations [38]
63% of shoppers say they would purchase again if they had a better experience [39]
84% of consumers say being treated like a person, not a number, matters [40]
61% of shoppers are influenced by online reviews [13]
50% of shoppers want to see size information before buying online [41]
72% of consumers say they prefer retailers with fast delivery [42]
55% of consumers said delivery speed influenced their online purchase decisions in 2022 [43]
49% of consumers use search engines to find products [44]
38% of consumers say they follow fashion influencers for product recommendations [45]
34% of shoppers said they purchased via an influencer’s link in 2023 [45]
42% of shoppers want brands to provide styling tips online [46]
57% of consumers say they need more information on product pages to feel confident buying apparel [47]
62% of shoppers check the size guide before purchasing clothing online [48]
71% of consumers expect brands to use their data responsibly [49]
45% of shoppers said user-generated content made them more likely to buy [50]
70% of shoppers say they are more likely to buy from a retailer with strong customer support [51]
60% of shoppers say they look for “in stock” availability before purchasing [52]
46% of shoppers use “coupon codes” when shopping online [53]
41% of consumers say they are influenced by email promotions [54]
33% of consumers report that they bought clothing because of retargeting ads [55]
59% of fashion shoppers said they use social media platforms to research before purchase [53]
52% of consumers say they are influenced by brand social media posts [56]
44% of apparel shoppers said they use TikTok for discovery [53]
31% of apparel shoppers said they bought after seeing a “try-on” video [53]
38% of fashion shoppers say they want chat-based support [53]
66% of consumers use multiple channels (online and offline) during apparel shopping [57]
76% of consumers are more likely to purchase from a brand that offers free returns [57]
84% of consumers trust online reviews as much as recommendations from friends/family [13]
Section 02
Campaigns, Channels & Performance
Email marketing yields an average ROI of $36 for every $1 spent [58]
SMS marketing has an ROI of $32 per $1 spent [59]
Paid search CTR for retail averages about 1.91% across industries [60]
Average display advertising CTR across industries is about 0.46% [60]
Organic search is responsible for about 53% of all website traffic [61]
In Google Ads, average conversion rate for shopping campaigns is 2.7% [62]
For retail, average cost per click (CPC) in Google Ads is around $1.16 [62]
For retail, average cost per thousand impressions (CPM) is around $3.80 [62]
Facebook average CTR across ads in retail is about 0.9% [63]
Instagram ad engagement rate is about 1.08% in retail [64]
TikTok ad click-through rate averages about 1.07% [65]
YouTube ad click-through rate averages about 4.0% for in-stream ads [66]
Pinterest ad engagement is higher than other channels; average CTR is about 0.59% [67]
Retail email open rate averages about 22% [68]
Retail email click-to-open rate averages about 11% [68]
Retail email click-through rate (CTR) averages about 3.0% [68]
SMS marketing average open rate is 98% [69]
SMS marketing average click rate is 19% [69]
Push notification click-through rate averages about 7% [70]
Dynamic product ads can increase conversion rate by up to 20% [71]
Retargeting ads can raise conversions by 150% [72]
Abandoned cart emails have an average open rate of 40.0% and conversion rate of 10.7% [73]
Welcome emails have an average open rate of 50% and conversion rate of 8% [74]
In a study, personalized email subject lines improve open rates by 26% [75]
Personalized emails generate 6x higher transaction rates [76]
Instagram Stories completion rate can be around 60% in commerce [77]
Facebook carousel ads have an average CTR 1.68x higher than single-image ads [78]
Google Shopping ads typically have higher conversion rates than standard search ads by about 30% [79]
Influencer marketing drives $5.20 in revenue per $1 spent on average [80]
Influencer marketing campaigns average engagement rate of 4% on Instagram [81]
Affiliate marketing accounts for 15% of ecommerce sales in some industries [82]
Retailers using product reviews increase conversion rates by up to 18% [83]
Site search usage indicates purchase intent; conversion rate from search can be up to 2-3x higher [84]
Chatbots can reduce customer service costs by 30% [85]
For e-commerce, live chat can increase conversion rates by 20% [86]
Average conversion rate for retail e-commerce is around 2.0% (global average) [87]
The average cart abandonment rate is about 70% [88]
Average bounce rate for retail websites is about 40% [34]
Page load time beyond 3 seconds increases bounce rates significantly, with a common benchmark: 53% leave if mobile site takes longer than 3 seconds [89]
1-10% increase in conversion rate can yield significant revenue gains; conversion rate improvements of 10% can raise revenue by 13% [90]
Google found that 70% of shoppers turn to videos when making shopping decisions [91]
Section 03
Loyalty, Retention & Personalization
68% of consumers said they would consider switching to a brand with better loyalty offers [92]
Loyalty programs increase repeat purchase rates; members are 37% more likely to repurchase [93]
Personalized product recommendations can lift revenue by 10% or more in e-commerce [94]
Customers who receive personalized emails are 26% more likely to open [95]
80% of business decision makers say personalized marketing improves customer engagement [96]
71% of consumers expect personalized offers and recommendations [37]
Personalization can increase marketing ROI by 5-8x [97]
76% of people who search for products online want recommendations [98]
74% of consumers feel frustrated when content is not personalized [99]
Abandoned browse abandonment recovery via personalized retargeting can increase revenue, with reported 28% uplift [100]
Customer segmentation improves revenue by 51% [101]
Recommendation engines can increase conversion rates by up to 30% [102]
44% of shoppers say promotions targeted to them are more relevant [103]
51% of marketers cite lifecycle marketing as key to retention [104]
Repeat purchase rate increases by 12% when loyalty email campaigns are used [105]
In apparel, first purchase customers have higher repeat with post-purchase emails; average uplift reported 8-12% [106]
Customer churn rate in retail (global average) is about 22% annually [107]
E-commerce loyalty program members have 2.1x higher lifetime value [108]
55% of consumers expect loyalty points for repeat purchases [109]
65% of consumers say loyalty programs make them more likely to keep shopping with a brand [98]
73% of consumers say they are more likely to use a company that recognizes them [110]
39% of customers will switch brands if personalized offers don’t meet expectations [111]
84% of consumers say personalization affects their decision to purchase [112]
53% of consumers are willing to share data for personalization [49]
58% of marketers say they don’t have enough customer data for personalization [98]
48% of consumers say they would stop shopping from a retailer due to poor personalization [113]
63% of consumers say they prefer emails with personalized subject lines [114]
49% of consumers say product recommendations influence their shopping choices [98]
40% of retailers report that email is their highest ROI channel for retention [115]
34% of shoppers use size-related preferences to get better recommendations [48]
36% of apparel shoppers say loyalty points affect their choice more than discounts [53]
29% of consumers said they would pay more for better personalization [51]
47% of consumers say dynamic content in emails improves engagement [116]
62% of retailers say they use customer data for personalization [110]
78% of customers say they will continue to buy from a brand that provides consistent experiences [110]
43% of consumers expect brand messaging across channels to be consistent [117]
Average cart conversion rate loss due to friction; 17% of shoppers leave due to checkout issues [118]
Site search users convert at higher rates (often 2-3x) [119]
71% of US consumers expect faster delivery as standard [57]
25% of shoppers return items due to sizing issues in apparel [120]
In 2023, 45% of consumers in the UK used Instagram for product discovery [45]
60% of fashion brands increased spend on social media in 2023 [53]
90% of marketers say personalization is important for marketing [121]
Section 04
Market & Revenue
Global apparel e-commerce revenue reached $781.9 billion in 2021, projected to reach $1,426.5 billion by 2026 [122]
The U.S. digital advertising market is projected to reach $301.2 billion in 2024 [123]
Worldwide retail e-commerce sales are forecast to reach $7.4 trillion in 2025 [124]
In the US, social media ad spending is forecast to reach $71.0 billion in 2023 and $79.0 billion in 2024 [125]
In 2023, global digital ad spending is forecast to reach $645 billion [126]
US apparel and footwear e-commerce sales were $62.4B in 2021 and forecast to be $69.0B in 2022 [127]
UK online fashion sales reached £27.7 billion in 2023 [128]
China’s online clothing and apparel retail sales were RMB 734.9 billion in 2023 [129]
India’s online apparel retail sales were ₹1,015.1 billion in 2023 [130]
Total ad spend in the US in 2023 was $332.84B, with digital accounting for $191.23B [131]
In 2023, paid search revenue (US) is estimated at $209.2B [132]
In 2023, US display advertising revenue is estimated at $74.1B [133]
In 2023, US social media advertising revenue is estimated at $55.1B [134]
In 2023, global influencer marketing spend is forecast to reach $21.1B [135]
In 2024, global retail media ad spend is projected to reach $51.0B [136]
In 2025, retail media ad spend is projected to reach $81.6B globally [136]
In 2023, programmatic ad spending (US) was $175.8B [137]
In 2024, mobile ad spending in the US is projected at $247.0B [138]
In 2023, video ad spending in the US is forecast to be $73.6B [139]
In 2024, paid video advertising revenue (US) is projected at $86.7B [139]
In 2023, US email marketing ad revenue (market size) is estimated at $5.3B [140]
In 2023, global affiliate marketing spending is forecast to be $17.0B [141]
In 2023, marketing automation software revenue (global) is forecast to reach $6.5B [142]
In 2023, global search ads spending was $232.0B [123]
In 2023, global digital ad spending exceeded $600B (estimated $618.3B) [143]
In 2022, US internet users spent an average of 2.3 hours per day on social media [144]
In 2024, social commerce sales worldwide are forecast to reach $803B [145]
In 2024, US online retail sales are forecast to reach $1.3 trillion [146]
In 2023, online retail sales share of total retail sales in the US was 15.6% [147]
In 2023, global ecommerce sales exceeded $5.8 trillion [148]
In 2023, US retail media ad spend was $30.0B [149]
Section 05
Measurement, Martech & Tech
53% of companies use Google Analytics [150]
63% of organizations use marketing automation software [98]
Customer data platforms (CDP) market is projected to reach $3.9B in 2024 [151]
Digital commerce sales depend on analytics; 83% of retailers use data analytics [98]
78% of companies use dashboards for performance monitoring [98]
54% of marketers say AI will be important for personalization [152]
46% of marketers are using AI for marketing [110]
30% of e-commerce companies use recommendation engines [98]
72% of marketers use A/B testing to optimize campaigns [153]
A/B testing can increase conversions by an average of 49% [154]
Google says that advertisers using conversion tracking can improve performance; (benchmark) measurement matters; 70% rely on it [155]
MMP (mobile measurement) market expected to reach $15.3B by 2028 [53]
Retailers that adopt personalization software see measurable uplift; 10-30% conversion lift (reported average) [94]
85% of organizations use cloud for analytics [98]
87% of businesses use CRM systems [51]
Data breaches affect consumer trust: 60% of consumers are concerned about privacy [49]
Cookieless tracking impact: 94% of marketers say they are concerned about third-party cookies loss [98]
Mobile app install campaigns often use SKAdNetwork; (no hard stat) [156]
Google Analytics market share among websites is about 29% [150]
Meta pixel is installed on about 40% of websites that use Facebook tracking [157]
Hotjar usage: installed on about 1.0M sites (as of listing) [158]
Klaviyo market: installed on about X sites (as listed) [159]
Shopify powers 4.7M+ active stores [160]
Adobe Commerce (Magento) powers 1.5M websites (as of builtwith listing) [161]
BigCommerce powers about 65k+ websites (builtwith listing) [162]
App-driven e-commerce share: US mobile app revenue is projected $190B in 2024 [163]
AR adoption: 61% of retailers planned to use AR/VR in 2024 [164]
Visual search adoption: 40% of retailers planned visual search by 2024 [165]
Chatbot adoption in retail: 28% of retailers use chatbots [166]
Recommendation engine adoption: 35% of retailers use personalized recommendations [51]
Voice commerce adoption: 20% of shoppers use voice search to shop [45]
Marketing AI spend: global AI in marketing market projected to reach $25.6B in 2024 [45]
Retailers using automation report 14.5% higher conversion rates [51]
Mobile-first indexing: Google says most sites are now mobile-first [167]
Core Web Vitals importance: Google uses page experience signals as ranking factors [168]
Structured data for products can improve visibility; rich results eligibility requires Product markup [169]
In retail, 64% of companies say personalization requires data integration across channels [170]
69% of consumers say they expect personalization [98]
In 2022, 62% of marketers used AI tools [170]
53% of marketers use marketing automation [171]
45% of ecommerce sites use A/B testing tools [153]
57% of marketers measure ROI via dashboards [98]
41% of marketers say attribution is difficult due to tracking limitations [98]
33% of marketers expect to increase spend on personalization technology [110]
25% of retailers say they have inadequate tracking for personalization [98]
References
Footnotes
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