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1、FashionEcommerce Stats&Trends Report2023Online Fashion Market Size,Consumer Behaviour Habits,Peak Industry Sales Times&Key StatisticsFeaturing stats from 150+of theworlds leading fashion brands,includingFree Conversion Rate Optimisation Audit2View customer data insights and online fashion trends fro
2、m 1,689,953,291 online user-journeys from 150+of the worlds biggest fashion brands.The online fashion industry adapts quickly to seasons,shifts in customer behaviour,evolving technology and market conditions.Its one of the most dynamic industries in the world.The fashion market is expected to grow f
3、urther at 11.5%per year and reach a total market size of US$1,501.3 billion by the end of 2027,according to Statista.In this report we dig into the latest ecommerce stats,consumer behaviour patterns and emerging trends that shape the online fashion industry.We will explore key subjects:Mobile techno
4、logy Best times to capture sales Popular items Sizing trends Email marketing statistics And much more.We will provide practical tips and strategies for ecommerce companies to leverage these key trends to drive revenue growth,attract new customers,and remain competitive in a crowded market.3Key Takea
5、ways(%of consumers throughout 2022)Popular ItemsDresses25.89%T-Shirts16.46%Jeans12.90%Jumpers/Sweaters11.45%Popular Times to BuyJanuary13.62%9pm6.87%Sunday16.22%Email Marketing(averages)Open Rate53.52%Click Rate19.75%Conversion Rate25.47%Online SalesMobile71.75%Desktop28.24%Consumer vs.Luxury SalesL
6、uxury7.02%Consumer40.49%Free Conversion Rate Optimisation Audit4We provide remarketing solutions to retain traffic and re-engage abandoners with our fully-managed service:used by the worlds biggest brands.About This EbookWho are SaleCycle?SaleCycle sends effective,targeted messaging to shoppers who
7、abandon your website&recover abandoned sales using our customised campaigns all with just a single tag implementation.Our remarketing solutions have been instrumental in driving significant revenue growth for our clients.Weve recovered over 10 billion since 2017,which means on average weve been able
8、 to assist in the generation of 1.5 billion worth of revenue each year and 144 million per month for our clients.A significant topic discussed in this ebook is seasonality,the importance of monthly sales periods and how they drive certain sales for certain staple items.We have tracked some of the bi
9、ggest online fashion brands throughout the year so that we can pinpoint key trends and shopping behaviours throughout 2022,so that you can better predict and prepare for a better business plan in 2023 and beyond.Free Conversion Rate Optimisation Audit53.Key TakeawaysContents4.About This Ebook6.Key I
10、tem Sales14.Product Category Drilldown27.Email Marketing Statistics31.Cart Abandonment Statistics34.Online Traffic Trends38.Consumer vs.Luxury Fashion Buying Habits42.Cart Abandonment Trends45.Email Marketing in Fashion Ecommerce47.About SaleCycle49.Useful ResourcesCasey Turnbull AuthorMarketing Exe
11、cutive at SaleCycleCasey is a Fashion Journalism graduate&ecommerce marketing executive at SaleCycle.Casey is committed to producing high quality content backed by in-depth research and data.She has experience developing content in a range of sectors including fashion,ecommerce and sports.Get insigh
12、ts from the blog6Key Item Sales(All Data Below is SaleCycle Client Data 2022)With a total of 37,222,646 fashion items sold by our clients in 2022,its important to be able to understand which individual items are of significance to be able to attract consumers.Free Conversion Rate Optimisation Audit7
13、Key Item SalesDresses gained the most popularity in 2022,followed by T-Shirts,Jeans and then Jumpers/Sweaters.This contrasts to previous years 20202022 when T-Shirts took the majority of online sales.Since 2020,backlogged events like weddings and bachelorette parties,and the growing popularity of ba
14、by showers and other social and corporate affairs could perhaps explain the eventual demand for dresses and other formal clothing into 2022 and beyond.2.5 M5 M7.5 MCARDIGANDRESSHOODIEJEANSJOGGERSJUMPER/SWEATERLEGGINGSSHORTSSKIRTT-SHIRTTROUSERSCOATDress9,638,119T-Shirt6,127,305Jeans4,805,143Jumper/Sw
15、eater4,265,227Total salesFree Conversion Rate Optimisation Audit8Total Products Sold by MonthNovember is recognised by ecommerce as the yearly peak for online shopping and sales,so it is quite significant that January holds the most sales by 10.71%in this recent report.“January Sales are becoming ju
16、st as popular as Black Friday and Cyber Monday sales in terms of marketing and brand promotions.November sales create a sales funnel through to this January,which is important for fashion retailers,as continued sales can help boost their revenue and kick off the new year on a good footing.We can als
17、o see a significant spike in sales in July,much like in previous years,with sales drastically decreasing in August.This leaves August and December as the least popular months to purchase.2 M3 M4 M5 MJANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDECTotal salesFree Conversion Rate Optimisation Audit9Seasonality It
18、ems Sold by MonthThe fashion industry works within the cycle of seasonality in order to release new lines and seasonal sales effectively to their consumers.Its important,therefore,to use this same cycle to predict and cater to certain needs for both the brand and the consumer for example,control of
19、stock.Targeting quiet periods throughout the year for certain items and products with sales notifications and other CTAs(such as onsite messaging for limited offers)can help encourage sales and keep healthy stock levels.As we can see here,some items hold a greater weight in seasonality as we see pea
20、ks and troughs throughout the seasons e.g.,Dresses and Jumpers/Sweaters.On the other hand,certain items such as Jeans hold a stable number of sales throughout the year.So,a steady amount of conversion messaging could be considered about items such as these.TrousersT-ShirtSkirtShortsLeggingsJumper/Sw
21、eaterJoggersJeansHoodieDressCoatCardigan1 M2 M3 M4 M5 MJFMAMJJASONDTotal salesFree Conversion Rate Optimisation Audit10Products Sold by Day of the WeekAccording to our stats,the Sunday is the best time to capture fashion sales,followed by Thursday.Tuesday sees the fewest products bought.This counter
22、s last years results,and in years previous,when Thursday saw the most products sold,with the fewest sales on Saturday.This previous buying pattern made sense for customers who were purchasing clothing ahead of the weekend(in time for social events),however we can only assume that those consumers are
23、 now using weekends/downtime to commit to a sale.Thursday15.21%Saturday12.93%2021 Sales13.90%Monday13.12%Tuesday13.61%Wednesday15.80%Thursday13.90%Friday13.44%Saturday16.22%SundayFree Conversion Rate Optimisation Audit11Products Sold by Time of DayAs reflected in this graph,there is a steady growth
24、in sales from 3am,leading to the first peak in sales at 10am.This volume of sales stays relatively steady until the biggest peak in sales at 9pm.Thanks to mobile shopping,consumers are able to browse and buy items more freely throughout the day.This,combined with the growing popularity of hybrid and
25、/or WFH(work from home)business models,means that fashion brands are able to target a wider audience on a daily basis.The largest peak at around 9pm can also be attributed to standard work practices.When consumers are in downtime(or out of hours),there is an even greater intent or urge to buy before
26、 the next working day.Recognising shopping behaviours throughout the day could help to coordinate marketing strategies for better retention and sales results.0000708095122231 M2 MTotal salesHour of the day9pm2,559,940Free Conversion Rate Optimisation Audit12Products
27、Sold by DeviceMobile sales are gaining more and more traction as we progress in online shopping according to our findings,Mobile sales in the Fashion industry are up by 41%since 2020,and 2.45%since last years report.With close to 72%of sales using a Mobile device,Desktop is overshadowed with just 28
28、%of all online sales.Ecommerce faces a whole new generation of online consumers who use Mobile as their main mode of shopping.This,combined with the typically younger demographic of the Fashion industry,means that Fashion consumers are reliant on digital devices now more than ever.DESKTOP202228.24%2
29、02130.66%MOBILE202271.75%202169.33%Free Conversion Rate Optimisation Audit13Trend of SizesKnowing the current and ongoing demand in sizing means that online fashion brands can improve stock,and in turn,ROI.As we can see,the most popular sizes are those that are non-numerical.We can assume that this
30、is due to typical Menswear sizing combined with Womenswear-however the vast difference in volume between the two types of sizing could also suggest that globally,consumers of all genders may prefer a more inclusive“S,M,L”(etc.)option.We can take social aspects of shopping into consideration here-cha
31、nges and movements in fashion such as encouraging body positivity and the fluidity of gender in fashion can impact the sizes and measurements that modern consumers now choose.For example,non-numerical and unisex clothing allows a better fit for a wider range of body types.12 M10 M8 M6 M4 M2 M4681012
32、141618XXXSXXSXSSMLXLXXLXXXL12,802,542M14Product Category DrilldownIn this section we have segmented the product list into 3 different categories:Outerwear,Everyday Apparel,and Activewear.We provide online shopping insights with analysis on how you can improve your conversion rates,highlighting the f
33、ashion category of your concern.15Outwear Key Insights(All Data Below is SaleCycle Client Data 2022)Product Category DrilldownCoat$270.43Cardigan$150.03Hoodie$117.37AOV by ProductFree Conversion Rate Optimisation Audit16Outerwear Monthly Sales VolumeIt appears that the Coat has been the most popular
34、 product among the following outerwear items,with an average of 183,320 sales in 2022.Its worth noting that the Coat had the highest sales in November,which indicates,and is perhaps no surprise,that this product is particularly popular during the colder months.This seasonal trend bodes the same for
35、the rest of this clothing category,with Cardigan and Hoodie sales peaking in winter(January).All outerwear sales declined to the fewest sales in May which is something worth noting if brands want to utilise stock levels and push for sales before buying interest curbs.For example,Coats,Cardigans and
36、Hoodies should be heavily advertised during January sales.100k300k200k400k500kTotal salesJANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDECHoodieCoatCardiganCoat504,054Free Conversion Rate Optimisation Audit17Outerwear Weekly Sales VolumeOuterwear Daily Sales Volume150k250k200k300k350kTotal salesMONTUEWEDTHUFRISA
37、TSUNHoodieCoatCardigan000070809512223080k40k120k160kTotal salesHoodieCoatCardiganFree Conversion Rate Optimisation Audit18Outerwear Online Sales by DeviceMobile sales count for more than 50.57%more online sales compared to Desktop in the Outerwear market.Usually,item
38、s in this category hold a higher percentage of Desktop sales due to a typically higher AOV.However,thanks to advancements and greater use of mobile technology,consumers can expect shopping ease thanks to better user experiences and faster checkouts thanks to mobile-friendly payment options(e.g.Apple
39、Pay)by using their handheld devices.Cart Abandonment Rate for OuterwearMOBILE75.28%DESKTOP24.71%83.65%19Everyday Apparel Key Insights(All Data Below is SaleCycle Client Data 2022)Product Category DrilldownDress$253.70Jeans$160.29AOV by ProductSkirt$135.71T-Shirt$158.17Trousers$134.80Free Conversion
40、Rate Optimisation Audit20Everyday Apparel Monthly Sales VolumeWhen it comes to Everyday Apparel,Dresses and T-shirts are the most popular items,with average sales of 803,177 and 510,609 respectively.Jeans and Trousers have moderate average sales,with Skirts coming in with the fewest sales throughout
41、 the year.December seems to be the lowest performing month for all products,which could be due to holiday season shopping preferences or other external factors such as affordability after key sales periods have already occurred.This data suggests that brands should focus on promoting and Everyday Ap
42、parel depending upon the visible seasonal trends,keeping supply and demand in mind.250k750k500k1 M1.25 MTotal salesJANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDECDressTrousersT-ShirtSkirtJeansDress1,218,486Free Conversion Rate Optimisation Audit21Everyday Apparel Weekly Sales VolumeEveryday Apparel Daily Sales
43、 VolumeIn last years report,Thursday was the most popular day for sales for Everyday Apparel.This year,Sunday holds the greatest amount of sales,pointing to a shift in buying pattern behaviour.500k1 M1.5 MTotal salesMONTUEWEDTHUFRISATSUNDressTrousersT-ShirtSkirtJeans00007080951
44、62230200k400k600kTotal salesDressTrousersT-ShirtSkirtJeansFree Conversion Rate Optimisation Audit22Everyday Apparel Online Sales by DeviceEven though this clothing category of clothing items holds the most AOV,Mobile sales still overshadow Desktop sales by a large margin.Mobile devices ar
45、e becoming more advanced and easier to use,with larger screens and faster processing speeds.This has led to an improvement in the mobile shopping experience,making it more seamless and user-friendly than ever before.This has resulted in customers being more comfortable making purchases on their mobi
46、le devices,leading to higher sales figures.Cart Abandonment Rate for Everday ApparelMOBILE71.64%DESKTOP28.35%84.94%23Activewear Key Insights(All Data Below is SaleCycle Client Data 2022)Product Category DrilldownJoggers$72.17Leggings$93.62Shorts$126.62AOV by ProductSweatshirt$153.50Free Conversion R
47、ate Optimisation Audit24Activewear Monthly Sales VolumeIt appears that Sweatshirts are the most popular product among the four items categorised,with an average of 355,436 sales.Its worth noting that the Sweatshirt had the highest sales in November,which may be attributed to the holiday season and c
48、older weather backed by their lowest sales in May,towards the warmer seasons.Seasonality can be seen also with Shorts,peaking in sales during June and dropping to the lowest sales within Activewear in December.It appears that all four products within this category have higher sales during the colder
49、 months and lower sales during the summer months.250k500k750kTotal salesJANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDECShortsLeggingsJoggersSweatshirtSweatshirt819,929Free Conversion Rate Optimisation Audit25Activewear Weekly Sales VolumeActivewear Daily Sales VolumeIn last years report,the peak time to buy wa
50、s 20:00 for most product categories-this finding now stands later at 21:00 for Activewear.Whether this is down to busier schedules for consumers,combined with browsing during downtime using the most popular device to buy-a mobile phone-its important to tailor certain notifications and email marketin
51、g campaigns to when consumers are most likely to follow through with a sale.100k300k200k400k500k600k700kTotal salesMONTUEWEDTHUFRISATSUNShortsLeggingsJoggersSweatshirt0000708095122230100k200k300kTotal salesShortsLeggingsJoggersSweatshirtFree Conversion Rate Optimisat
52、ion Audit26Activewear Online Sales by DeviceCart Abandonment Rate for ActivewearMOBILE69.72%DESKTOP30.27%82.12%27Email Marketing Statistics(All Data Below is SaleCycle Client Data 2022)By sending personalised and targeted emails,fashion brands can increase customer engagement,build brand loyalty,and
53、 ultimately,boost revenue.In this section,we will uncover email marketing statistics alongside constructive insights to take your email marketing to the next level and achieve your business goals.Free Conversion Rate Optimisation Audit28Email Open,Click&Conversion RateAcross major/mature regions(Eur
54、ope,North America and Asia&Pacific),the average open rate of emails equals to just under 50%,however only half of those people(25%)are converted onto the site.This perhaps proves that both the subject line and the actual content of the email needs to be compelling,and include use of visually appeali
55、ng content,such as product images,and clear and enticing call-to-action buttons within the email.Open Rate49.82%Conversion Rate25.40%Click Rate17.61%Average Across Regions10%20%30%40%50%60%EUROPENORTH AMERICAASIA&PACIFICAvg.Conversion RateAvg.Click RateAvg.Open RateFree Conversion Rate Optimisation
56、Audit29Email Open,Click&Conversion Rate by DeviceWhen we look into email marketing by device,the click rate for Mobile is higher than Desktop,but Desktop holds a higher conversion rate.This suggests that while Mobile subscribers may be more likely to click through to the website,Desktop subscribers
57、may be more likely to make a purchase.This could potentially be due to the fact that Desktop users have a larger screen size and therefore a better shopping experience,or because they may have more time to browse and make a purchase.Fashion ecommerce brands may want to explore ways to increase the c
58、onversion rate for Mobile as Mobile usage continues to grow.10%20%30%40%50%60%MOBILEDESKTOPAvg.Conversion RateAvg.Click RateAvg.Open RateFree Conversion Rate Optimisation Audit30Email Marketing Product TrendsWe have taken the three largest and most mature ecommerce markets when analysing data for em
59、ail marketing,which are currently Europe,North America,and Asia&Pacific regions of the globe.With this,weve broken down each product into the sectors explored previously in the report,so that businesses containing an individual category can quantify and utilise the results.Avg.Conversion RateAvg.Cli
60、ck RateAvg.Open RateEveryday Apparel43.91%21.37%29.15%Skirt46.11%Trousers23.98%Hoodie31.25%Hoodie40.86%T-Shirt20.21%Dress26.42%(Cardigan,Dress,Hoodie,Jeans,Skirt,T-Shirt,Trousers)Activewear45.04%20.32%31.77%Sweatshirt48.18%Leggings21.13%Joggers34.23%Leggings39.87%Shorts19.50%Sweatshirt29.13%(Joggers
61、,Leggings,Shorts,Sweatshirt)31Cart Abandonment Statistics(All Data Below is SaleCycle Client Data 2022)There are several reasons why shoppers abandon their carts,including unexpected costs such as shipping or taxes,concerns about the security of the website,or simply thanks to browsing and changing
62、their mind.Every abandoned cart represents a missed opportunity to make a sale and generate revenue-the cost of acquiring a new customer is typically higher than retaining an existing customer,so by reducing cart abandonment rates,brands can also improve their customer acquisition costs and in turn,
63、hold a better brand presence.Free Conversion Rate Optimisation Audit32Cart Abandonment Rate by DeviceIn the fashion ecommerce industry,abandonment rates are typically high for several reasons no matter the device.One possible explanation for higher abandonment rates on Mobile devices compared to Des
64、ktop is that many users may find the mobile shopping experience to be less convenient or more difficult than shopping on a Desktop computer.Brands need to optimise their mobile websites to make the shopping experience more intuitive and user-friendly.This could include improving site navigation,simp
65、lifying the checkout process,and ensuring that the site is optimised for Mobile devices.Desktop78.68%Mobile85.55%Free Conversion Rate Optimisation Audit33Cart Abandonment Rate by RegionThe global cart abandonment rate results for Europe,North America,and Asia and Pacific indicate that there is a hig
66、h level of shopping cart abandonment across all regions which is to be expected in the Fashion industry.It is important to understand the specific factors that contribute to cart abandonment in each market and take steps to address them.Cultural,logistical and financial factors need to be considered
67、 this could include solutions such as offering discounted shipping,improving site design,and implementing personalised retargeting campaigns to encourage customers to return to their abandoned carts.North America85.10%Europe83.48%Asia&Pacific87.56%34Online Traffic Trends(All Data Below is SaleCycle
68、Client Data 2022)The more traffic a website receives,the greater the likelihood of conversions,which can lead to increased sales,revenue,and profitability.Healthy online traffic can also improve the search engine ranking of online fashion brands,which can lead to increased visibility and brand expos
69、ure.By understanding online traffic patterns and implementing effective online marketing tactics,fashion ecommerce businesses can tailor their marketing and sales strategies to gain the best possible results.100k150k125k175k200kTotal sessionsJANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDECFree Conversion Rate O
70、ptimisation Audit35Online Traffic Timeline17th Blue Monday(January Sales)1st Chinese New Year14th Valentines DayUK Cost of Living Crisis Inflation Peaks at 11.1%31st Halloween24th Thanksgiving25th Black Friday28th Cyber Monday25th Christmas26th Boxing Day27th Mothers Day(UK)1st8th Paris Fashion Week
71、17th Easter Sunday8th International Mothers Day18th Hottest Day on Record in France19th Fathers Day20th Hottest Day on Record in USA9th Hottest Day on Record in UK9th11th Copenhagen Fashion Week5th Labor Day(USA,CAN)Fashion Weeks in New York,London,Milan&ParisFree Conversion Rate Optimisation Audit3
72、6Traffic by Device and SectorOnline traffic is a highly important part to consider in your ecommerce business model.These numbers indicate the number of customers returning to the site,and in turn,intent to purchase.Here we can see that out of all online traffic to fashion commerce sites this year,o
73、ver 62%of all traffic occurred on Mobile for Consumer fashion.This is a key indicator for Consumer fashion brands to capitalise on their Mobile platforms with exclusive in-app sales to continue this positive trend.This is also an indicator for Luxury brands to follow suit and optimise their Mobile s
74、ites,and to link Desktop and Mobile functions to encourage more activity.Desktop33.05%4,939,930ConsumerMobile66.95%10,005,795LuxuryDesktop36.12%936,392Mobile63.88%1,656,067Free Conversion Rate Optimisation Audit37Traffic by Region and SectorWhen we break down our overview of Consumer and Luxury onli
75、ne sessions,we can see that Asia&Pacific is the least active region for both industry sectors particularly for Consumer fashion.Europe holds the most active users across both sectors,with European Consumer sessions totalling a significantly high count and showing extreme ecommerce strength.Total ses
76、sions100M200M300M400M500M600MLuxuryConsumerEUROPENORTH AMERICAASIA&PACIFIC38Consumer vs.Luxury Fashion Buying Habits(All Data Below is SaleCycle Client Data 2022)In this ebook chapter,we will explore the differences between consumer and luxury fashion buying habits in ecommerce.We will delve into th
77、e factors that influence the purchasing decisions of consumers and luxury shoppers,including the importance of brand recognition,the differences in AOV,and the role of the customer experience.Additionally,we will explore the impact of online shopping on consumer and luxury fashion buying habits,incl
78、uding the rise of mobile shopping,the importance of product descriptions and reviews,and the impact of social proof on purchasing behaviour.Free Conversion Rate Optimisation Audit39Consumer vs.Luxury:Online Sales by DeviceThese findings in Consumer vs.Luxury buying behaviour suggests that consumers
79、tend to purchase more non-luxury fashion products online,both on Desktop and Mobile devices with an average of only 15%of Luxury items being purchased via any device.Luxury brands should invest in mobile-friendly design and interfaces to enhance the shopping experience for Mobile users,as they repre
80、sent a significant proportion of online fashion shoppers for both sectors.Adding functions such as wishlist or save for later buttons,combined with a wide range of payment options,should help to encourage completed purchases.MOBILEConsumer85.80%10,005,795Luxury14.20%1,656,067Consumer84.06%4,939,930L
81、uxury15.94%936,392DESKTOPFree Conversion Rate Optimisation Audit40Consumer vs.Luxury:Online Sales Volume by Region and SectorAcross both Consumer and Luxury sectors,Europe takes up the majority of sales within the mature ecommerce markets,followed by North America.However,there is a significant diff
82、erence in sales volume between Luxury and Consumer fashion products in each region,with Consumer fashion products far outpacing Luxury brands may want to tailor their product offerings accordingly.Sales2.5M5M7.5M10M12.5MEUROPENORTH AMERICAASIA&PACIFICLuxuryConsumerFree Conversion Rate Optimisation A
83、udit41Consumer vs.Luxury:Average Order Value(AOV)by Region and SectorIn these most recent findings-when compared to 2021-fashion consumers are spending more across the board with both Consumer and Luxury brands.As technology and consumer behaviour continue to evolve within a more tech-savvy generati
84、on,it is likely that online shopping will continue to grow in popularity as a preferred method of buying fashion products.2022$129.972021$92.04EUROPECONSUMER AOV2022$310.502021$314.84LUXURY AOV2022$143.832021$106.25NORTHAMERICACONSUMER AOV2022$575.052021$531.71LUXURY AOV2022$131.412021$120.41ASIA&PA
85、CIFICCONSUMER AOV2022$495.972021$367.39LUXURY AOV42Cart Abandonment Trends(All Data Below is SaleCycle Client Data 2022)Free Conversion Rate Optimisation Audit43Cart Abandonment Rates by DeviceCart abandonment rates are higher on Mobile(85.55%)than on Desktop(78.68%),suggesting that there are potent
86、ial challenges for online fashion brands to improve the Mobile shopping experience for customers.Its a good idea to have your Mobile and Desktop abandonment strategy linked we know that users browse more on Mobile than on Desktop,but switch between the two devices multiple times a day before complet
87、ing a purchase,so brand continuity is important.Improving features such as complicated checkout processes,payment options,site load times,product images,and personalisation and retargeting,could help to improve the customer experience and reduce cart abandonment rates for each device.DESKTOP78.68%MO
88、BILE85.55%Free Conversion Rate Optimisation Audit44Cart Abandonment Rate byRegion and SectorThe following cart abandonment rates suggest that significant differences exist in online shopping behaviours of Luxury and Consumer fashion customers across different regions.However,some key similarities ca
89、n be recognised:In all regions,the cart abandonment rates for Luxury items are higher than those for Consumer items.Luxury items hold a higher AOV,so customers may take more time to consider the purchase before committing to it.This highlights the importance of providing detailed product information
90、,including high-quality images and customer reviews,to build customer trust and confidence in the product.Abandonments25%50%75%100%LuxuryConsumerEUROPENORTH AMERICAASIA&PACIFIC45Email Marketing in Fashion Ecommerce(All Data Below is SaleCycle Client Data 2022)Email marketing continues to progress fo
91、r ecommerce businesses,especially those in the online fashion industry,due to its personalised,cost-effective,and sophisticated nature,making it an essential tool for businesses looking to increase engagement and drive sales.Free Conversion Rate Optimisation Audit46Email Marketing:Open,Click andConv
92、ersion RatesWhen it comes to email marketing across fashion sectors,there is a significant difference in open rates between Consumer fashion and Luxury fashion.The open rate of Luxury fashion emails is considerably higher than that of consumer fashion emails,with a difference of over 26%.This sugges
93、ts that Luxury fashion brands have a more engaged audience,and their email marketing campaigns are more effective in capturing the attention of their subscribers.Interestingly,while the click rate for both Consumer and Luxury fashion emails is almost the same,the conversion rate for Consumer fashion
94、 emails is higher.This could indicate that while Luxury fashion brands have a higher level of engagement from their audience,the marketing campaigns for Consumer fashion brands are more effective in driving actual purchases perhaps due to a lower AOV.LuxuryConsumerOpen Rate56.67%30.37%Click Rate19.5
95、8%19.93%Conversion Rate29.09%21.86%47About SaleCycleConversion Rate and Abandoned Cart SpecialistsOur on-site real-time messages interact with visitors and help boost conversions while curbing online abandonment.Displayed at key points of a visitors purchase journey,personalised and relevant message
96、s can encourage them to convert.We also use SMS remarketing messages to help customers navigate back to your site and reconnect with their time-sensitive purchases.Each day we track the behaviour behind more than three million online purchases and abandonments.We know why people buy.Our solutions in
97、clude conversion rate optimisation,abandoned sales recovery,customer loyalty and customer insight.We optimise the ecommerce buying funnel with personalised and targeted emails to help you reconnect with shoppers after they have left your site.Free Conversion Rate Optimisation Audit48The Fashion Bran
98、ds Who Use SaleCycleFind out more about how your market competitors increased their conversions and boosted sales with SaleCycle:Boohoo Case StudyASICS Case StudyPrettyLittleThing Case StudyStella McCartney Case StudyPUMA Case Study49Useful ResourcesRESOURCESSOLUTIONSSaleCycle has a regular stream of up-to-date content on the blog.Its complete with data reports,whitepapers,guides and best practice tips to help shape your ecommerce strategy.We also offer a range of Case Studies,Ebooks and Lookbooks,which are filled with information.BLOG