Publication Date: 11/15/2016
Topics: Email Marketing; Clickthrough Rate (CTR); B2B Marketing; Performance Benchmarks
Geographies: United States
Industries: Travel; Media & Entertainment; Automotive; Technology; Retail; Consumer Products (CPG)
Context: Open rate; Click to open rate; Unique click rate; Financial services; Technology; Hospitality travel; Publishing; CPG; Entertainment; Retail wholesale; Client services; Automotive; BB; Total
Publication Date: 11/15/2016
Topics: Email Marketing; B2B Marketing; Performance Benchmarks
Geographies: United States
Industries: Travel; Media & Entertainment; Automotive; Technology; Retail; Consumer Products (CPG)
Context: Desktop; Mobile; Publishing; Consumer services; BB; CPG; Entertainment; Automotive; Retail wholesale; Financial services; Technology; Hospitality travel; Total
Publication Date: 11/14/2016
Topics: Virtual & Augmented Reality
Geographies: Worldwide
Industries: Technology
Context: Remote business applications eg remote diagnostics remote healthcare; Smartphone apps that overlay the camera view with additional info or graphics on top of the real scene; Transportation applications eg vehicle heads up display HUD; Digital navigation tablets eg for warehouse searching efficiency; Wearable devices eg Google Glass; Holographic meetings; Other; None of the above; Unsure; We havent used but plan to in the next year; We havent used and dont plan to within the next year
Publication Date: 11/11/2016
Geographies: United States
Industries: Technology; Retail
Context: Distributed order management customer order management; Implemented
satisfied; Implemented
looking to
change; Budgeted; Planned no
budget; No plans; Store picking shipping of customer orders; Store perpetual inventory management; Available to promise forecasts; Item level RFID; Real time updates to inventory from transactional systems; System based methods of capturing missed sales opportunities due to local out of stocks; Supplier drop ship management system; Modern granular supply chain analytics; Sourcing algorithms for locating optimal inventory for customer order fulfillment
Publication Date: 11/11/2016
Geographies: United States
Industries: Technology; Retail
Context: Value; Have
implemented; Real time updates to inventory from transactional systems; Distributed order management customer order management; Store perpetual inventory management; Available to promise forecasts; System based methods of capturing missed sales opportunities due to local out of stocks; Store picking shipping of customer orders; Sourcing algorithms for locating the optimal inventory for customer order fulfillment; Modern granular supply chain analytics; Item level RFID; Supplier drop ship management system
Publication Date: 11/10/2016
Topics: Digital Content
Geographies: Worldwide
Industries: Technology
Publication Date: 11/10/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: Analytics; Increase; Stay the same; Decrease; Cloud computing; Digital; Legacy core modernization; Cybersecurity; Emerging technologies
Publication Date: 11/10/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: Digital; Analytics; Cloud computing; Cybersecurity; Legacy core modernization; Emerging technologies
Publication Date: 11/10/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: Building technology platforms; Designing products; Delivering customer experience; Customer acquisition retention and loyalty; Analyzing customer data; Joint governance process with marketing
Publication Date: 11/10/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: Customers; Growth; Performance; Cost; Innovation; Regulations; Talent; Cybersecurity; Reconfiguration; Other
Publication Date: 11/9/2016
Topics: Customer Experience; B2B Marketing
Geographies: United Kingdom; United States
Industries: Travel; Media & Entertainment; Automotive; Technology; Retail; Telecom; Finance
Context: Travel leisure; Successful; Neither; Unsuccessful; Media; Retail; Nonprofit; Finance; Technology; Professional services; Automotive; Telecom; Total
Publication Date: 11/9/2016
Topics: Performance Benchmarks; Digital Video Advertising
Geographies: Worldwide
Industries: Healthcare & Pharma; Travel; Consumer Electronics; Automotive; Technology; Retail; Insurance; Food & Beverage; Restaurants & Dining
Context: Views millions; Ad length seconds; Mobiles handheld; Insurance; Retail chains; Homecare; Technology; Aviation; Automotive; Pharma health; Food beverage; Consumer electronics; Personal care; Luxury; Education; Nonprofits; Travel tourism; Diversified; Restaurants cafes; Retail; Alcoholic beverages; Hospitality; Telecom digital services; Pet care; Nonretail ecommerce; Banking finance; Sports; Home appliances; Professional services; Other; Total
Publication Date: 11/9/2016
Geographies: Worldwide
Industries: Technology
Context: Many marketing organizations have a love and hate relationship with digital startups. Many rely on technology created by startups to power marketing functions like social media and content development. At the same, many business leaders also worry about the long-term threat posed by these companies, which are typically the earliest adopters of new technology, to their business.
Publication Date: 11/9/2016
Topics: Big Data; Marketing Technology
Geographies: United States
Industries: Technology
Context: Artificial intelligence isn’t just for science fiction films anymore—it’s a real tool for marketers and advertisers across industries. From natural language processing to social data parsing, cognitive solutions can solve some challenges that brands could not previously tackle. Nish Parekh, program director of IBM Watson client services, spoke to eMarketer about how the company’s Watson technology is strengthening marketers’ decision-making capabilities.
Publication Date: 11/3/2016
Geographies: Canada
Industries: Technology
Context: Adoption of IT security services eg spam filtering vulnerability detection via a public cloud delivery model; Transitioning more of our traditionally delivered apps to a public cloud delivery model; Supporting production workloads services with more investment in public cloud infrastructure solutions eg server capacity on demand as a service database on demand as a service storage capacity on demand as a service app development; Adoption of new apps apps we dont currently use via a public cloud delivery model; Supporting production workloads services with more investment in private on premise cloud solutions eg on demand IT infrastructure your company pays for and runs all by itself within its own IT department
Publication Date: 11/3/2016
Geographies: Canada
Industries: Technology
Context: Optimizedbroadly implemented a cloud first strategy that is proactively managed and clearly driving business efficiencies across entire company; Managedwidespread use of cloud supported by proactive business and IT leadership driving decisions about use opportunities; Repeatableconsistent effort made to leverage and reuse best practices resources across multiple groups departments; Ad hocfocused primarily on pilot projects and validation activities driven by the needs of individual decision makers; Opportunisticdriven by business needs of individual workgroups departments with no effort to share resources; Too soon to tellin the early stages of defining our cloud strategy
Publication Date: 10/25/2016
Geographies: Asia-Pacific; Australia; Worldwide; New Zealand
Industries: Technology
Context: IT spending; change; Australia; New Zealand; Asia Pacific; Worldwide
Publication Date: 10/25/2016
Geographies: Asia-Pacific
Industries: Technology
Context: change; Communications services; Devices; IT services; Software; Data center systems; Total
Publication Date: 10/25/2016
Topics: Clickthrough Rate (CTR); Performance Benchmarks; Time Spent with Media; Native Advertising
Geographies: Worldwide
Industries: Healthcare & Pharma; Media & Entertainment; Technology; Retail; Sports; Finance
Context: Average time spent seconds; CTR; Fashion shopping; Business finance; Science sports technology; Health lifestyle; News; Arts entertainment
Publication Date: 10/24/2016
Topics: Marketing Spending; B2B Marketing
Geographies: North America; United Kingdom
Industries: Travel; Media & Entertainment; Financial Services; Technology; Retail; Consumer Products (CPG); Banking
Context: Company type; Primarily BB; Primarily BC; Both; Revenues; million; million billion; billion; Industry; High tech; Media; CPG; Retail; Manufacturing; Financial services; Transportation hospitality
Publication Date: 10/24/2016
Topics: Big Data; Marketing Technology; Internet of Things (IoT); Virtual & Augmented Reality; Artificial Intelligence (AI)
Geographies: Worldwide; United States
Industries: Technology
Context: As artificial intelligence (AI) creeps steadily into everyday life, marketers and advertisers are using it to make their campaigns more efficient and provide enhanced experiences for their customers.
Publication Date: 10/17/2016
Topics: Performance Benchmarks
Geographies: Spain
Industries: Healthcare & Pharma; Media & Entertainment; Financial Services; Automotive; Technology; Retail; Telecom; Consumer Products (CPG); Food & Beverage
Context: FMCG; Alcohol; Automotive; Pharmaceuticals; Home garden; Telecom; Utilities; Healthcare; Food drink; Entertainment; Other
Publication Date: 10/17/2016
Geographies: Worldwide
Industries: Technology; Retail
Context: In-store technologies can enhance the shopping experience, and many retailers are seeing the benefits of them. A June 2016 survey found that technology can help retailers reach more consumers, as well as better inform in-store employees.
Publication Date: 10/17/2016
Topics: Big Data; Marketing Technology; Internet of Things (IoT); Virtual & Augmented Reality; Artificial Intelligence (AI)
Geographies: Worldwide; United States
Industries: Technology
Context: As artificial intelligence (AI) becomes a part of everyday life, it is also being tapped for a growing array of business applications. Its use is expected to grow quickly in the coming years.
Publication Date: 10/14/2016
Topics: Mcommerce
Geographies: North America
Industries: Technology; Retail
Context: Most retailers in North America have a mobile website. But according to July research, deploying certain other mobile capabilities, like geolocation and customer identifying technologies, could be about three to five years down the road.
Publication Date: 10/13/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: Desktops laptops; Smartphones; Traditional on premise servers; Hybrid cloud; Public cloud; Collaboration software; Private cloud; Tablets; Social tools; Cloud based app services; Cybersecurity tools; Open source software
Publication Date: 10/13/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: IT; Entirely digitalcommon
use of the cloud; Mostly digitalcommon
use of apps mobile devices; Somewhat digital
use
desktops laptops in daily operations; Not at all digital; Dont know; Customer service; Finance; Strategy; Supply chain; Manufacturing; Marketing and sales
Publication Date: 10/13/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: Become more efficient; Cut costs; Keep up with new fully digital competitors; Meet customer expectations; Keep up with existing competitors; Surpass competitors; Meet investor analyst expectations
Publication Date: 10/12/2016
Geographies: United States
Industries: Technology; Restaurants & Dining
Context: Every day; Once a week; Once a month; Never
Publication Date: 10/12/2016
Geographies: United States
Industries: Technology; Restaurants & Dining
Context: Daily; Weekly; Monthly; Rarely; Never
Publication Date: 10/12/2016
Geographies: United States
Industries: Technology; Restaurants & Dining
Context: Online reservations; Very important; Somewhat important; Not very important; Not important at all; Free Wi Fi; Online or mobile ordering; Mobile payments; Loyalty reward programs; Touchscreen ordering kiosks
Publication Date: 10/12/2016
Geographies: United States
Industries: Technology; Restaurants & Dining
Context: Quick service; Big impact; Somewhat big impact; Little to no impact; No impact at all; Fast casual; Casual dining; Fine dining
Publication Date: 10/12/2016
Topics: Digital Display Ad Spending
Geographies: United Kingdom
Industries: Travel; Media & Entertainment; Financial Services; Automotive; Technology; Retail; Telecom; Consumer Products (CPG); Politics & Campaigns
Context: Consumer goods; Travel transport; Automotive; Entertainment media; Finance; Retail; Telecom; Technology; Government social political organizations; Business industrial; Property; Leisure equipment; Gardening agriculture
Publication Date: 10/10/2016
Topics: Customer Experience; Social Media Marketing
Geographies: Worldwide
Industries: Travel; Technology; Personal Care & Beauty; Retail; Telecom; Consumer Products (CPG); Food & Beverage; Finance
Context: Facebook; Twitter; Telecom; Finance; Airline; Retail; Services; Retail food; Electronics; Ecommerce; FMCG food; na; Beauty; Software; Fashion
Publication Date: 10/10/2016
Topics: Customer Experience
Geographies: United States
Industries: Technology
Context: Self healing support ie products that fix issues automatically without any user interaction; Concierge support ie products that come with a dedicated customer service representative that consumers can contact via chat email phone social media or other communication channel; Proactive support ie products with built in software that use device data to notify a consumer in advance about a potential issue; Automated virtual support ie products with voice activated virtual assistant to provide technical support or answer questions as needed; Personalized support ie products that allow companies to access data on a consumers device to understand their user preferences and provide customized support based on that information
Publication Date: 10/6/2016
Topics: Mobile Apps
Geographies: United Kingdom
Industries: Digital Banking; Technology
Context: Service to let you know which savings accounts offer the best rates; Replace passwords with facial recognition; Facial recognition for bank transfers; Alerts through chat messengers like Facebook Messenger or WhatsApp; Virtual assistant to help with banking
Publication Date: 10/5/2016
Topics: Customer Experience
Geographies: Middle East & Africa; Asia-Pacific; Europe; Latin America; United States
Industries: Technology
Context: Europe Middle East Africa; Americas; Asia Pacific; The ability to use smart sensor enabled devices; Greater level of privacy; Greater level of security; Faster access to more information; Greater transparency eg track and trace; An overall more personalized experience; Faster access to services; To collaborate and share with other customers more easily
Publication Date: 10/5/2016
Topics: Customer Experience
Geographies: Middle East & Africa; Asia-Pacific; Europe; Worldwide; Latin America; United States
Industries: Technology; Marketing Management Trends
Context: Europe Middle East Africa; Americas; Asia Pacific; Worldwide; Marketing; Customer service; Finance; Manufacturing production; RD; Human resources; Sales; Legal
Publication Date: 10/5/2016
Geographies: Middle East & Africa; Europe; France; Germany; Worldwide; Italy; Netherlands; Saudi Arabia; Switzerland; United Arab Emirates; United Kingdom
Industries: Technology
Context: UK; Italy; United Arab Emirates and Saudi Arabia; France; Europe Middle East Africa; Netherlands; Switzerland; Germany; Worldwide
Publication Date: 10/5/2016
Topics: Big Data; Marketing Measurement Surveys
Geographies: Worldwide
Industries: Technology
Context: Customer satisfaction using digital analytics; Our speed to market; The proportion of customer interactions now handled digitally; We have a dedicated executive committee to assess digital transformation progress; We create a full digital profit loss statement; The cost savings gained as a result of replacing human labor with smart technologies; The percentage of our employees who have received digital training; The ability to successfully facilitate human interactions with machines; Our ability to predict human behavior through data; The number of patents filed; By percentage of revenue spent on RD and lessons learned
Publication Date: 10/5/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: Actual; Ideal; CTO; CDO; CEO; CIO; COO; CFO; CMO; CCO
Publication Date: 10/5/2016
Geographies: Worldwide
Industries: Technology
Context: Using digital technologies to accelerate new
product services development; Building security and privacy into all devices applications and algorithms; Integrating digital goals into all departmental staff objectives; Developing mature ecommerce and ebusiness
models; Equipped with always connected sensor enabled and location aware technologies; Acting on intelligence in real time; Rolling out data driven decision making across the business; Evolving our ways of communicating and marketing to involve more innovative channels; Agile innovation; Investing in digital skills talent; Rolling out automated decision making artificial intelligence across the business; Developing cross functional knowledge
Publication Date: 10/5/2016
Geographies: Worldwide
Industries: Technology
Context: Digital technologies accelerate new products and or services development; Security and privacy is built into all devices applications and algorithms; Agile innovation; Digital goals are integrated into all departmental staff objectives; Ability to act on intelligence in real time; Equipped with always connected sensor enabled and location aware technologies; Company wide data driven decision making; Mature ecommerce and ebusiness models; Company wide automated decision making; Continued investment in digital skills talent; Ability to communicate through multi sensory channels; Cross functional knowledge
Publication Date: 10/5/2016
Geographies: Worldwide
Industries: Technology
Context: Customers; IT; C suite board level senior management; Functional leaders not including IT; Competition from traditional peers; General employee population; Competition from start ups; Partners; Shareholders financial community; There is no driving force to digital transformation
Publication Date: 10/5/2016
Topics: Customer Experience
Geographies: Worldwide
Industries: Technology
Context: We have an obsessive focus on customer engagement and satisfaction; We are constantly growing our software development teams and capabilities; We have embedded digital across the organization; We have mobile and social media technologies at the heart of our business; We secured buy in from our managementthey appreciate the value of digital technologies; We partner with startups and follow an open innovation model to integrate their thinking into our organization; Weve spun off a separate part of the organizationmore agile and boutique in nature to test products ways of working; We acquire the skills and innovation we need through MA or joint ventures; We have appointed a chief digital officer or similar to lead our digital transformation efforts
Publication Date: 10/5/2016
Geographies: Worldwide
Industries: Technology
Context: Pose threat; Yes right now; Reasons; Not yet but will in years; Not yet but will in next years; Not yet but will in the next months; No and dont expect them to in the future; N A; Early adopters of smart machine technologies advantages over recruiting human labor; They are more agile free of legacy technology and traditional business culture; They have easy access to seed VC funding so they can make an impact very quickly; They are run by millennials and are better able to envision future customer demands; They are run by millennials who have grown up with digital technology; Greater flexibility to build a distributed workforce of entrepreneur programmers; They are obsessed with data to pre empt and solve future challenges and to inform RD; They are not afraid to take risks and learn through failure; Able to attract and retain talent by offering strong digital career prospects
Publication Date: 9/28/2016
Geographies: Middle East & Africa; Europe; North America
Industries: Technology
Context: Currently use; Plan to adopt; Mobility bring your own device BYOD; Advanced security solutions; IT automation technology; Infrastructure as a service IaaS; Converged hyperconverged infrastructure; Internet of things; Intelligent personal assistants; D printing; Virtual reality; Artificial intelligence
Publication Date: 9/28/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: API management; Advanced users; Basic early stage users; Limited no adoption; DevOps; Agile; Identity centric security
Publication Date: 9/28/2016
Geographies: Worldwide
Industries: Technology
Demographics: C-Level Executives
Context: Investing in the right talent; Embracing digital tech to redefine how we run our business; Defining our visions for a new digital enterprise; Investing in leadership to drive digital enterprise; Putting in place agile methodologies; Rethinking our approach to security; Disrupting our industry because of advanced digital initiatives
Publication Date: 9/27/2016
Topics: Big Data
Geographies: United Kingdom; United States
Industries: Technology
Context: Mainly Excel manual processes some departments use sophisticated tools; Technical aspects focus on discovery and root cause analysis; Platform approach to profiling monitoring and visualizing data; Excel manual processes are primary methods