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New Study: 34% of Traffic and 28% of Orders for Large Online Fashion Retail Brands Come Directly from Search and Social

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34% of traffic, 28% of orders and 26% of the total order value for large online fashion retailers comes directly from search and social sites including Google and Facebook, new global research suggests. Of all traffic arriving directly from paid social, 80% is from Facebook and Instagram.

And the data suggests mobile phones dominate: 76% of all traffic, 64% of all orders and 59% of the total order value for large enterprise fashion ecommerce brands comes from smartphones.

The study by Nosto, the ecommerce personalisation and retail AI platform analysed 1.19 billion visits to ecommerce sites globally during the busiest three months of the retail calendar (Dec 2018 to Jan 2019). 24% of visits were to enterprise fashion sites with annual sales of $50m or more). The research tracked all traffic sources based on the ‘last click’ (where a visitor was prior to landing onto an ecommerce site).

The Impact of Paid and Organic Search and Social Media on Fashion Ecommerce

Paid Search

Organic Search

Paid Social

Organic Social

Total : Search + Social

Traffic

6%

19%

1%

8%

34%

Orders

5%

18%

Below 1%

5%

28%

Order value

6%

16%

Below 1%

4%

26%

While organic and paid social appear to generate 9% of all traffic to enterprise fashion ecommerce based on the last click model, the full impact of social is likely to be significantly greater, according to Jim Lofgren, CEO of Nosto:

“Social sites such as Facebook and Instagram are important destinations for branding and product discovery, especially in the fashion space. You can’t judge their full power only by looking at the last click from either paid or unpaid sources that are driving visitors to merchants’ stores. Instagram in particular is an extremely popular platform on which shoppers follow fashion influencers to learn about new styles and brands, but that higher-funnel discovery process won’t show up in ecommerce marketers’ website analytics data.

“The modern ecommerce fashion shopping journey is highly complex, and more often than not the shopper finally arrives at a retailer’s site by heading there directly or via Google search. This continues to pose challenges for ecommerce brands trying to evaluate the ROI of their marketing spend.”

Nosto’s examination of the direct impact of social media on enterprise fashion ecommerce reveals that of the four main social networks (Facebook, Instagram, Pinterest and Snapchat) Facebook and Instagram are the biggest drivers of traffic and orders from paid and organic social.

Within paid social, Facebook accounts for 73% of all traffic, 89% of all orders and 86% of the total order value. In organic social, Facebook represents 53% of traffic, 59% of orders and 56% of the total order value.

Instagram generates 41% of all organic social traffic, 41% of all organic orders and 43% of the total organic social order value. On the paid social side, Instagram generates 16% of all traffic, 10% of all orders and 14% of the total order value.

Of the other social networks, both Snapchat and Pinterest account for 3% each of direct organic social traffic. However orders resulting directly from organic Pinterest and Snapchat activity based on the last click are negligible. In paid social Snapchat drives 10% of traffic and 1% of orders, implying a stronger branding and awareness value currently.

Aside from search and social, the study reveals visits and transactions for enterprise fashion ecommerce sites are either generated by direct traffic (when shoppers directly type the ecommerce site’s web address into their phones and computers); from sources such as marketing emails, ad networks and affiliate sites; or from dark social (mostly from people sharing links to the ecommerce sites in emails, text messages and messaging apps).

Nosto’s fashion retail customers include Gymshark, Agent Provocateur, Aquascutum, Everlast, Helly Hansen and Volcom.

More insights from the study, including charts are included in a blog post on the Nosto website at:

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Wirex Launches Enhanced Cryptoback™

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Today, payments platform Wirex launched a supercharged update of their revolutionary Cryptoback™ rewards programme. Customers can now earn up to 1.5% back in Bitcoin on Wirex Visa card purchases.

Released in 2018, Cryptoback™ was the world’s first rewards programme that paid out 0.5% in cryptocurrency for all in-store spending with the Wirex Visa card. Thanks to the recent launch of the Wirex Token (WXT), customers can now triple the amount of BTC they earn – making investing in cryptocurrency easier than ever before.

Depending on the amount of WXT held, in-store Wirex card purchases now generate up to 1.5% in Bitcoin. There are three levels of crypto rewards available:

  • 500,000 WXT = 1.5% Cryptoback™
  • 100,000 WXT = 1.0% Cryptoback™
  • 50,000 WXT = 0.75% Cryptoback™

Wirex have calculated that the average UK consumer stands to earn more than £300 in Cryptoback™ every year, just by using their Wirex Visa card for day-to-day spending. Unlike many other cashback programmes, Wirex doesn’t impose restrictions on what customers can do with their rewards. Cryptoback™ can be redeemed instantly into their Bitcoin accounts, or quickly and easily exchanged into fiat for spending.

Enhanced Cryptoback™ is just one of the ways that holding Wirex Tokens allows customers to get even more out of their account. They can also enjoy heavily discounted fees based on the same structure, with access to premium products, merchant offers and airport lounges coming soon. As Wirex co-founder Pavel Matveev explains:

“We created the Wirex Token to be something that provides tangible value and benefits for holders beyond its market trajectory. Enhanced Cryptoback™ is the perfect example of this, as it allows customers to earn and invest in digital currency with a minimum of fuss. We’re looking forward to introducing even more benefits for WXT holders soon.”

 

SOURCE Wirex

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MIT-IBM Watson AI Lab Convenes Top Researchers for Second Annual AI Research Week

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The MIT-IBM Watson AI Lab (NYSE: IBM) is hosting its second annual AI Research WeekSeptember 16-20, in Cambridge, MA. The five-day conference will explore leading themes in today’s field of AI including neurosymbolic computing and semantic reasoning in machine learning, AI security and safety, inclusive design of AI for all communities, trustworthy and explainable AI, and industry applications of AI.

The MIT-IBM Watson AI Lab is a joint research effort to drive fundamental advances in artificial intelligence. Since its founding in 2017, the lab has become an integral component of IBM’s AI Research strategy and is spearheading 48 AI-related research projects.

WHO:
Dario Gil (Director, IBM Research), joined by top AI researchers:

  • Yoshua Bengio (A.M. Turing Award Winner and Pioneer of AI and Deep Learning)
  • Josh Tenenbaum (Professor, Dept. of Brain and Cognitive Sciences, MIT)
  • Laura Shulz (Dept. of Brain and Cognitive Sciences at MIT, Primary Investigator of the MIT Early Childhood Cognition Lab)
  • Roger Levy (Associate Professor, Dept. of Brain and Cognitive Sciences at MIT, Director of the Computational Psycholinguistics Laboratory)

Additional discussions will feature David Cox (IBM Director, MIT-IBM AI Watson Lab), Lisa Amini (Director, IBM Research Cambridge), and Antonio Torralba (MIT Director, MIT-IBM AI Watson Lab), addressing key topics including: progress of the MIT-IBM AI Watson Lab to date and future goals; transitioning AI research to industry; and self-supervised learning of AI.

The conference will also showcase research and thought leadership from scientists and students affiliated with Massachusetts Institute of Technology; the University of California, San Diego; the University of Maryland, Baltimore County; the University of Illinois, Urbana-ChampaignBoston UniversityRensselaer Polytechnic Institute; the University of Montreal; the University of Massachusetts, Amherst; and the Cambridge and Boston community.

WHAT:
AI Research Week is a technical conference featuring top AI thought leaders from around the world sharing the latest insights on the field of AI. The five-day gathering will also consist of panels, workshops, networking and mentorship all geared towards forging new ideas and discussion around advancements in AI.

WHEN & WHERE: 
September 16-20, 2019, times for events vary. AI Research Week events will be held at MIT and IBM in Cambridge, MA. While many events will occur at the MIT Samberg Conference Center, 50 Memorial Dr, Cambridge, MA 02142, it is best to check the schedule for specific event locations and times.

Conference highlights:

Monday, September 16: Kick-off the week with a poster and networking session where researchers from the MIT-IBM Watson AI Lab and IBM’s AI Horizons Network of university collaborators will showcase projects underway that are shaping the future of AI.

The afternoon will feature a round robin event designed to help match various student communities in the Boston area with a mentor, specifically those in Latinx, BlackinAI, Women in Machine Learning, and LGBTQ. This session will include 15 tables, each with a different topic, and mentors from IBM, as well as other speakers from AI Research Week, designed to connect students with a mentor.

Tuesday, September 17: Yoshua Bengio, full professor and head of the Montreal Institute for Learning Algorithms (MILA), University of Montreal, and Dario Gil, Director of IBM Research, begin the AI Horizons Colloquium with a Welcome Address, followed by a full day of talks and discussion featuring AI experts from academia and industry.

NOTE: The Colloquium (all day) will be livestreamed here.

Other Colloquium speakers include:

  • Saska Mojsilovic, head of AI Foundations, IBM Research and Co-Director of IBM Science for Social Good, will discuss how people can begin to trust AI.
  • Collin Stult, Professor of Electrical Engineering and Computer Science Institute for Medical Engineering and Science and MIT faculty at Harvard-MIT Division of Health Sciences and Technology Cardiologist, will discuss whether useful machine learning will be used clinically in the near future.

Wednesday, September 18: The NASA ISS Program Science Office and the ISS U.S. National Laboratory, along with IBM Research, will launch a unique opportunity to learn about the International Space Station. Guests will be able to speak with representatives and researchers about the future of AI intersecting with the future of research in space. The event also includes a competition and special session where researchers and students can pitch “ISS meets AI” project ideas to a panel of space experts from NASA, the ISS, IBM, and MIT.

 

SOURCE IBM

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AI Operations Leader, ThroughPut.AI, chosen to present at the esteemed Plug and Play Japan Summit for IOT and Mobility in Tokyo on September 19th, 2019

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ThroughPut Inc., the Artificial Intelligence (AI) Supply Chain pioneer that enables operations to increase output, quality, throughput, profitability and safety through automated bottleneck elimination, today announced their presentation and participation of their COO and CTO at the Plug and Play Japan IoT and Mobility Summit and EXPO in Tokyo, Japan on September 19, 2019. As a Plug and Play portfolio company, ThroughPut has been one of the most active global members of the Plug and Play ecosystem, being awarded to participate in multiple cohorts and events at Plug and Play Sunnyvale, BerlinMilanFrankfurtClevelandJapan, and elsewhere, spanning diverse topics including application of AI, Data and Analytics to Industrial Manufacturing, Operations, Supply Chain, Logistics, Transportation, Mobility, Industry 4.0, Oil and Gas, Food and Agriculture, and more.

“As the leading AI platform for Operations using existing data systems, ThroughPut is honored to be an active contributor to the Plug and Play Japan Mobility Batch 3 cohort,” noted Ali Raza, CEO of ThroughPut. “Our executive team is excited to present to over 1,500 Japanese corporate executives, resellers and partnership leaders at the IoT and Mobility Summit next week in Tokyo on September 19th, as well as consequent meetings that week.”

Plug and Play runs 15 industry themes across more than 50 accelerator programs a year in cities across the world. Plug and Play’s Japanese arm has accelerated four leading-edge industry programs,  and awarded participation to 69 pioneering technology start-ups and 31 corporate leaders, including MUFG, Tokyu Land, Sompo, Nissan, Hitachi, Panasonic, Fujitsu, Fujikura, DENSO, NipponLife, Dentsu, ADK, Nittsu, Norinchukin Bank, Orix, Macnica, Sumitomo, J-Power, Suzuki, SMFG, NEC Solution Innovators, Aflac, Asahi HD, Coca Cola Japan, AISIN, Kyocera MKI, Tanabe, Toshiba Tec, JXTG Energy and Shimadzu. This year’s Summer / Fall Summit is expected to receive an even greater response from startups and corporations across JapanAsia and even further overseas.

“We are very excited to continue building upon our strong client and partner relationships in Japan“, responded Seth Page, COO of ThroughPut and eight-time entrepreneur, while adding, “Plug and Play has opened up unique opportunities for collaboration with corporate partners, clients and investors around the world, bringing together the brightest minds in the industry on a single business platform. In Japan, we are showcasing our unique capabilities to a host of reputed industrial and global corporate titans, while also acquiring valuable insights from other fellow global thought leaders through participation in the Japense Mobility program and event. We look forward to continuing business discussions with market leaders in Japan next week and especially at the IOT and Mobility Summit in Tokyo on September 19th, as well as the Smart EXPO in Nagoya on September 18th.”

Bhaskar Ballapragada, CTO of ThroughPut, commented as well, “The time is ripe for industries to leverage the value of Artificial Intelligence on top of the decades of disaggregated data they’ve been collecting in-house. ThroughPut’s ELI Kaizen-AI product gives unprecedented power to a firm’s own operations managers. AI-enabled, data-driven analysis and executable insights to eliminate bottlenecks in real-time now enable the management of seamless operations across their end-to-end supply chains. In our mission to eliminate the $10 Trillion dollars of annual global industrial waste, we are reaching out to as many industries and companies to test for themselves our ELI product and enable them to experience firsthand the power of their own data with AI, and realize the quick ROI that comes with freeing-up working capital from operations by investing in ThroughPut’s ELI.”

 

SOURCE ThroughPut Inc.

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