Trends
Here you can find all eCommerce trends identified by our experts rated from the most popular.
Overall score
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
01
Marketplaces
Experts +2
/Adoption 0
/Search 1%
270
01
Marketplaces
An online marketplace is a type of eCommerce website where products or services are provided by multiple third parties.
3 Different Types of eCommerce Marketplaces and 6 Examples to Leverage Them
Overall score: 270
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
88
/ 100
+ 2
+ 2
M2
86/100
M1
92/100
M0
83/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
100
/ 100
0
0
M2
100/100
M1
100/100
M0
100/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
44742k
per month
+ 1%
+ 1%
M2
44688000
M1
94881000
M0
27823500
Trend prediction:
- Mirakl
- Izberg
- Spryker
- Souq
- Flipkart
- NewEgg
- Rakuten
- eBid
- Bonanza
- Salesforce Commerce Cloud
- Vtex Integrated Store
- Vtex Enterprise
- Tray
- Dokan Marketplace
- BigCommerce
- Shopify
02
Drop-shipping
Experts -11
/Adoption 0
/Search 23%
211
02
Drop-shipping
Drop-shipping is a retail eCommerce business model based on selling products without keeping stock.
Overall score: 211
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
51
/ 100
- 11
- 11
M2
62/100
M1
53/100
M0
55/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
100
/ 100
0
0
M2
100/100
M1
100/100
M0
100/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
12354k
per month
+ 23%
+ 23%
M2
10067700
M1
10551500
M0
5215800
Trend prediction:
- Shopify
- Shoplazza
03
Omnichannel
Experts +15
/Adoption 0
/Search -2%
208
03
Omnichannel
Omnichannel is an integrated all-channel commerce approach focused on delivering a seamless user experience.
Overall score: 208
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
85
/ 100
+ 15
+ 15
M2
70/100
M1
90/100
M0
90/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
100
/ 100
0
0
M2
100/100
M1
100/100
M0
100/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
264k
per month
- 2%
- 2%
M2
268600
M1
258820
M0
212900
Trend prediction:
- radar.io
- commercetools
- Spryker
- Shopware
- Vue Storefront
- Saleor
- Shopify
- Bigcommerce
- Shoper
- SAP Commerce Cloud
- IBM Websphere Commerce
- Haravan
04
Cloud commerce
Experts -19
/Adoption 0
/Search -6%
187
04
Cloud commerce
Cloud is an architecture with servers, software, and databases accessed over the internet.
Overall score: 187
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
69
/ 100
- 19
- 19
M2
88/100
M1
84/100
M0
84/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
100
/ 100
0
0
M2
100/100
M1
100/100
M0
100/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
100k
per month
- 6%
- 6%
M2
105590
M1
103280
M0
51450
Trend prediction:
- Shopify
- Bigcommerce
- ePages
- Salesforce Commerce Cloud
- Shopware
- SAP Commerce Cloud
- Vtex Integrated Store
- Vtex Enterprise
- Oxid eShop
05
Headless commerce
Experts -16
/Adoption 0
/Search 6%
182
05
Headless commerce
Headless commerce is a software architecture that cleanly separates the front-end layer from the rest of an online shop.
What is headless eCommerce? The smart guide to headless transition
Headless Architecture: A Short, Illustrated Guide by Divante
Overall score: 182
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
67
/ 100
- 16
- 16
M2
83/100
M1
95/100
M0
90/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
100
/ 100
0
0
M2
100/100
M1
100/100
M0
100/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
44k
per month
+ 6%
+ 6%
M2
41020
M1
40500
M0
49280
Trend prediction:
- commercetools
- adyen
- akeneo
- Algolia
- Amplience
- BigCommerce
- commercetools
- Constructor.io
- Contentful
- Contentstack
- fulfillmenttools
- Storyblok
- Talon.One
- Voucherify
- Spryker
- Shopware
- Vue Storefront
- Saleor
- Shopify
- Shogun
- Salesforce Commerce Cloud
- nopCommerce
- Spree Commerce
- Vtex Integrated Store
- Vtex Enterprise
06
PIM eCommerce
Experts +15
/Adoption 0
/Search 4%
175
06
PIM eCommerce
A product information management (PIM) solution is a business application that provides a single place to collect, manage, and enrich product information. It allows for the creation of a product catalog that can be distributed to sales and eCommerce channels.
PIM in e-commerce – a way to combat product information chaos
Akeneo vs. Pimcore: Which PIM should you choose?
Overall score: 175
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
65
/ 100
+ 15
+ 15
M2
50/100
M1
40/100
M0
70/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
100
/ 100
0
0
M2
100/100
M1
100/100
M0
100/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
10k
per month
+ 4%
+ 4%
M2
9170
M1
5050
M0
3270
Trend prediction:
- Akeneo
- Pimcore
- Ibexa
- Shopware
- ShopLine
07
Social commerce
Experts -19
/Adoption +2
/Search -0%
159
07
Social commerce
Social commerce is a segment of eCommerce in which merchants sell products directly through social media platforms.
Instagram and influencers for driving revenue in mCommerce
What is social commerce? The stats, examples and tips you need for 2022
Overall score: 159
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
59
/ 100
- 19
- 19
M2
78/100
M1
85/100
M0
70/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
80
/ 100
+ 2
+ 2
M2
78/100
M1
77/100
M0
75/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
131k
per month
- 0%
- 0%
M2
131280
M1
93950
M0
38290
Trend prediction:
- ShopLine
- Tray
- Ochanoko
08
Buy now, pay later
Experts +7
/Adoption -1
/Search 17%
156
08
Buy now, pay later
Buy now, pay later (BNPL) is a way of financing online purchases. It can be used to pay for a purchase at a future date.
Buy Now, Pay Later (BNPL): What It Is, How It Works, Pros & Cons
Overall score: 156
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
93
/ 100
+ 7
+ 7
M2
86/100
M1
91/100
M0
81/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
25
/ 100
- 1
- 1
M2
26/100
M1
26/100
M0
26/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
2018k
per month
+ 17%
+ 17%
M2
1739500
M1
1707500
M0
653680
Trend prediction:
- Adyen
- Klarna
- OpenCart
- MyCashFlow
09
Mobile payments
Experts +1
/Adoption -1
/Search 78%
149
09
Mobile payments
Mobile payment is processing payments with a mobile device.
Overall score: 149
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
80
/ 100
+ 1
+ 1
M2
79/100
M1
97/100
M0
93/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
25
/ 100
- 1
- 1
M2
26/100
M1
26/100
M0
27/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
3592k
per month
+ 78%
+ 78%
M2
2017800
M1
2029700
M0
1860400
Trend prediction:
- Adyen
- OpenCart
10
Subscription models
Experts +4
/Adoption -2
/Search 1%
147
10
Subscription models
In a subscription model, customers pay a recurring fee to access products or services.
Overall score: 147
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
87
/ 100
+ 4
+ 4
M2
83/100
M1
86/100
M0
71/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
42
/ 100
- 2
- 2
M2
44/100
M1
45/100
M0
46/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
100k
per month
+ 1%
+ 1%
M2
98360
M1
95890
M0
27620
Trend prediction:
- FastSpring
- J2Store
11
Mobile commerce
Experts -1
/Adoption 0
/Search 20%
141
11
Mobile commerce
Mobile commerce, or mCommerce, is a type of eCommerce that includes the buying and selling of goods and services through wireless handheld devices, such as smartphones and tablets.
Adding mobile-first solutions to your eCommerce
Optimizing mobile-commerce conversion rates (CRO for mCommerce)
Overall score: 141
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
72
/ 100
- 1
- 1
M2
73/100
M1
96/100
M0
91/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
50
/ 100
0
0
M2
50/100
M1
51/100
M0
51/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
116k
per month
+ 20%
+ 20%
M2
96830
M1
80750
M0
25900
Trend prediction:
- BigCommerce
- Magento
- Ecwid
- ePages
- nopCommerce
- EKM
- Ochanoko
- eShop Rychle
12
Composable commerce
Experts -19
/Adoption 0
/Search -0%
119
12
Composable commerce
Composable commerce is a commerce system built from packaged business capabilities (PBCs) that represent separate sets of features.
Composable Commerce is what comes next after headless
Reference architecture for commercetools: A blueprint for composable commerce
Overall score: 119
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
79
/ 100
- 19
- 19
M2
98/100
M1
95/100
M0
89/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
30
/ 100
0
0
M2
30/100
M1
30/100
M0
31/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
8k
per month
- 0%
- 0%
M2
7210
M1
5780
M0
4530
Trend prediction:
- commercetools
- adyen
- akeneo
- Algolia
- Amplience
- BigCommerce
- commercetools
- Constructor.io
- Contentful
- Contentstack
- fulfillmenttools
- Storyblok
- Talon.One
- Voucherify
- Vue Storefront
- AfterShip
- OpenCart
- ThriveCart
- osCommerce
- nopCommerce
- Spree Commerce
- Vtex Integrated Store
- Vtex Enterprise
- Oxid eShop
- Sendcloud
13
Loyalty programs
Experts -10
/Adoption 0
/Search 84%
113
13
Loyalty programs
Loyalty programs are marketing strategies focused on engaging with customers to build better relationships with a brand. It incentivizes customers to continue to shop at the same eCommerce store.
Overall score: 113
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
70
/ 100
- 10
- 10
M2
80/100
M1
89/100
M0
88/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
0
/ 100
0
0
M2
0/100
M1
0/100
M0
0/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
3125k
per month
+ 84%
+ 84%
M2
1706400
M1
1623000
M0
738900
Trend prediction:
- Open Loyalty
- T1
- Voucherify
14
Artificial intelligence eCommerce
Experts -8
/Adoption 0
/Search 11%
109
14
Artificial intelligence eCommerce
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
Overall score: 109
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
89
/ 100
- 8
- 8
M2
97/100
M1
93/100
M0
85/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
4
/ 100
0
0
M2
4/100
M1
4/100
M0
4/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
53k
per month
+ 11%
+ 11%
M2
47770
M1
48540
M0
13080
Trend prediction:
- Google Cloud AI
- Amazon AI services
- Microsoft Azure AI
- H2O.ai
- IBM Watson Studio
- TensorFlow
- DataRobot
- Wipro Holmes
- Salesforce Commerce Cloud
15
Click & collect
Experts -4
/Adoption 0
/Search 1%
103
15
Click & collect
Click and collect is a type of service where customers can order items online and pick them up at a collection point.
What is Click & Collect and how it can improve your business during coronavirus?
Overall score: 103
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
74
/ 100
- 4
- 4
M2
78/100
M1
85/100
M0
69/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
0
/ 100
0
0
M2
0/100
M1
0/100
M0
0/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
666k
per month
+ 1%
+ 1%
M2
664300
M1
661840
M0
336290
Trend prediction:
- fulfillmenttools
- Click & Collect Accelerator
16
Conversational commerce
Experts +7
/Adoption 0
/Search -0%
103
16
Conversational commerce
Conversational commerce is a set of eCommerce technologies based on interactions through conversations. It uses speech recognition, natural language processing, and artificial intelligence to place orders.
Conversational eCommerce: BOTs + AI
There's no one B2B process, but there's OneBot to serve them all
Overall score: 103
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
83
/ 100
+ 7
+ 7
M2
76/100
M1
84/100
M0
84/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
11
/ 100
0
0
M2
11/100
M1
10/100
M0
10/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
7k
per month
- 0%
- 0%
M2
6280
M1
5820
M0
5940
Trend prediction:
- Powerfront
- Meetsales
- ShopLine
17
Voice search
Experts +10
/Adoption 0
/Search -0%
95
17
Voice search
Voice search allows customers to search for products using voice commands.
Overall score: 95
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
70
/ 100
+ 10
+ 10
M2
60/100
M1
69/100
M0
69/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
0
/ 100
0
0
M2
0/100
M1
0/100
M0
0/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
387k
per month
- 0%
- 0%
M2
387980
M1
383960
M0
3452680
Trend prediction:
- Algolia
- Syte
18
Direct-to-consumer
Experts -6
/Adoption 0
/Search 67%
91
18
Direct-to-consumer
Direct-to-consumer is an eCommerce business model focused on avoiding middlemen by reaching customers directly.
Overall score: 91
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
66
/ 100
- 6
- 6
M2
72/100
M1
72/100
M0
72/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
4
/ 100
0
0
M2
4/100
M1
4/100
M0
4/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
166k
per month
+ 67%
+ 67%
M2
99630
M1
97350
M0
64790
Trend prediction:
- fulfillmenttools
- Salesforce Commerce Cloud
19
Livestream shopping
Experts +7
/Adoption 0
/Search 319%
91
19
Livestream shopping
Livestream shopping is a sales model where a presenter showcases a product that can be purchased during the broadcast.
Overall score: 91
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
74
/ 100
+ 7
+ 7
M2
67/100
M1
84/100
M0
68/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
0
/ 100
0
0
M2
0/100
M1
0/100
M0
0/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
67k
per month
+ 319%
+ 319%
M2
15870
M1
9930
M0
4330
Trend prediction:
20
Visual search
Experts 0
/Adoption 0
/Search 18%
83
20
Visual search
Visual search allows customers to search for products using images and photos.
Overall score: 83
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
70
/ 100
0
0
M2
70/100
M1
70/100
M0
70/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
0
/ 100
0
0
M2
0/100
M1
0/100
M0
0/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
24k
per month
+ 18%
+ 18%
M2
20250
M1
21930
M0
21170
Trend prediction:
- Algolia
- Findologic
- Klevu
- Syte
21
PWA eCommerce
Experts +7
/Adoption 0
/Search 14%
71
21
PWA eCommerce
Progressive web apps (PWAs) are web apps that use web-platform features in combination with progressive enhancements to give users an experience comparable to native apps.
Overall score: 71
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
64
/ 100
+ 7
+ 7
M2
57/100
M1
59/100
M0
59/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
0
/ 100
0
0
M2
0/100
M1
0/100
M0
0/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
2k
per month
+ 14%
+ 14%
M2
1450
M1
1390
M0
1660
Trend prediction:
- SAP Spartacus
- Polymer
- Webpack Module Bundler
- Magento PWA Studio
- ScandiPWA
- React PWA Library
- VueJS
22
Cryptocurrency payments
Experts -6
/Adoption -1
/Search -22%
59
22
Cryptocurrency payments
Crypto payments allow merchants to accept crypto transactions.
Overall score: 59
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
16
/ 100
- 6
- 6
M2
22/100
M1
33/100
M0
56/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
25
/ 100
- 1
- 1
M2
26/100
M1
26/100
M0
27/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
96k
per month
- 22%
- 22%
M2
122650
M1
145630
M0
155480
Trend prediction:
- OpenCart
23
Augmented reality commerce
Experts +11
/Adoption 0
/Search 0%
58
23
Augmented reality commerce
Augmented reality in eCommerce engages customers with interactive tools, like virtual try-ons, to help them visualize products.
PIMSTAR: Improving B2B eCommerce with a PIM-integrated AR module
Augmented Reality for delivering a customer-first experience in the fashion industry
Overall score: 58
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
49
/ 100
+ 11
+ 11
M2
38/100
M1
56/100
M0
61/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
0
/ 100
0
0
M2
0/100
M1
0/100
M0
0/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
6k
per month
0%
0%
M2
5850
M1
5100
M0
2400
Trend prediction:
- Threekit
- Hexa 3D
24
Internet of things commerce
Experts -16
/Adoption 0
/Search 540%
51
24
Internet of things commerce
The internet of things (IoT) is a network of appliances embedded with electronics, software, sensors, and connectivity. It enables those appliances to deliver greater value and additional services by exchanging data with the manufacturer, operator, and other connected devices.
Internet of Things and eCommerce
10+ stats about the Internet of Things for eCommerce managers
Overall score: 51
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
46
/ 100
- 16
- 16
M2
62/100
M1
74/100
M0
68/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
0
/ 100
0
0
M2
0/100
M1
0/100
M0
0/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
320
per month
+ 540%
+ 540%
M2
50
M1
70
M0
40
Trend prediction:
25
Metaverse commerce
Experts -21
/Adoption 0
/Search -2%
37
25
Metaverse commerce
Metaverse can be described as a network of virtual worlds focused on social connections.
Overall score: 37
The overall score is a rounded-up sum of the expert score, adoption score, and a cube root of search volume.
Experts score
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
31
/ 100
- 21
- 21
M2
52/100
M1
62/100
M0
62/100
Adoption score
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
Source: BuiltWith
0
/ 100
0
0
M2
0/100
M1
0/100
M0
0/100
Search volume
Search volume equals the sum of search queries for the top 100 related keywords in Google.
Source: Google Keyword Planner
970
per month
- 2%
- 2%
M2
990
M1
940
M0
720
Trend prediction:
Last update:
22-04-2024, 6:36 AM
Score overview
This graph presents the position of trends against the adoption and experts’ scores axis. The size of the dot presents Google search volume for the trend’s suggested keywords.
After selecting the trend, you’ll see circles showing the previous trend position and an arrow that depicts the predicted trend vector.
Month 3
Experts
Expert score:
Expert score is a compound score influenced by the weekly survey that was completed by eCommerce professionals.
Adoption
Adoption score:
The adoption score (0-100) is based on the number of known websites using technologies associated with the trend. It’s a percentage value measured against the top score in the dataset.
The source of data is BuiltWith.
Search volume
Search volume:
Search volume equals the sum of search queries for the top 100 related keywords in Google.
The source of data is Google Keyword Planner.