consumer analytics

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Published By: Adobe     Published Date: Nov 07, 2013
Audi differentiates its brand experience using web content and digital asset management capabilities in Adobe Experience Manager.
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adobe, audi, audi cars, adobe marketing cloud, audi website, latest innovation, brand experience, head of brand portal, innovative engineering, worldwide brand, consumer websites, adobe analytics, performance of websites, car configurator data, audi configurator, invite feedback, feedback leads to improvement
    
Adobe
Published By: Adobe     Published Date: Aug 04, 2015
This report lays out the opportunities to use mobile messaging as well as how to use the IDEA cycle to identify the most important moments and tactics so you can use messaging to its full potential.
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mobility, consumer mobility, engagement, customer engagement, customer, customer journey, marketing, messagung, mobile, mobile analytics, mobile marketing, sms, content management systems, interactive marketing, customer experience/engagement, social media marketing
    
Adobe
Published By: Adobe     Published Date: Aug 04, 2015
This report lays out the opportunities to use mobile messaging as well as how to use the IDEA cycle to identify the most important moments and tactics so you can use messaging to its full potential.
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mobility, consumer mobility, engagement, customer engagement, customer, customer journey, marketing, messagung, mobile, mobile analytics, mobile marketing, sms, interactive marketing, customer experience/engagement, social media marketing
    
Adobe
Published By: Adobe     Published Date: Aug 04, 2015
This report lays out the opportunities to use mobile messaging as well as how to use the IDEA cycle to identify the most important moments and tactics so you can use messaging to its full potential.
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mobility, consumer mobility, engagement, customer engagement, customer, customer journey, marketing, messagung, mobile, mobile analytics, mobile marketing, sms, interactive marketing, customer experience/engagement, social media marketing
    
Adobe
Published By: Adobe     Published Date: Mar 21, 2017
Digital marketing technologies have transformed both anonymous and authenticated interactions. Online ads, websites, and search reach more anonymous consumers for less, with much better segmentation and measurement. They’ve also added entirely new capabilities like behavioral monitoring and predictive analytics.
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Adobe
Published By: Adobe     Published Date: Aug 02, 2017
Get in on the content creation game and use it to improve the journey for your customers. Consumers are taking a much more active role in their finances; advice is freely available and most financial administration, from payments to trading, can now be done from your phone. Provide consistent messaging based on customer journey analytics; find out what information your customers are looking for, and provide the answers through the fewest possible clicks. Continually track and test these journeys to optimise the content and messaging.
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consumers, customer success, content creation, content optimisation, adobe, finances
    
Adobe
Published By: AWS     Published Date: May 18, 2018
We’ve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time. Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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AWS
Published By: CrowdTwist     Published Date: Apr 16, 2018
In order for brands to compete and provide the level of personalization consumers have already come to expect, marketers need to work quickly to develop competencies around their abilities to collect contextual and anticipatory insight and meet customers in the moments that matter most to them. Now is the time for marketers to invest in technology that supports data capture, segmentation, predictive analytics, and machine learning. With these capabilities in place, brands should be on track to build rich first party profiles of customers across all channels and maximize customer lifetime value by creating relevant experiences at all stages of the customer lifecycle.
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customers, predictive, branding, consumers, competition, lifecycle
    
CrowdTwist
Published By: FICO     Published Date: Nov 10, 2015
"ACG Michigan, a large auto insurance underwriter in the US state of Michigan, needed a user-friendly system that would enable its agents (internal and independent) to churn out precise and consistent policy quotes and underwriting decisions. They turned to FICO Blaze Advisor decision rules management system to create an enterprise decision management framework to execute decisions. Learn more on how FICO Blaze Advisor helped ACG Michigan automate its underwriting About FICO FICO (NYSE: FICO), formerly known as Fair Isaac, is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company's groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries. FICO provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimiz
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decision analytics, optimization, profitability
    
FICO
Published By: FICO     Published Date: Dec 04, 2017
As consumers, we’re all having more experiences that seem almost magical: You’re in a mall when suddenly your smartphone beeps. It’s an offer for 20% off a pair of shoes you’ve been looking at online — from the store you just walked past! As business people, we know it’s not magic, but rather analytics powering these outstanding customer experiences. Analytics have evolved to the point where they answer an expanding range of useful questions. But understanding the different types of analytics – descriptive, diagnostic, predictive and prescriptive - and how to use them in your business can be challenging. Download the eBook to learn about the least understood – yet most powerful – tool in the analytic arsenal. Prescriptive analytics enable you to estimate and compare the likely outcomes of any number of actions, and choose the very best action to advance business objectives. Getting there isn’t as difficult as you think. Start your journey. Download the eBook today.
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profits, analytics, credit, social, media, services, customer, consumers
    
FICO
Published By: Google Analytics 360 Suite     Published Date: Sep 05, 2017
Today’s meandering customer journeys take place over multiple channels and devices. Each interaction creates a stream of digital information, leaving marketers with a growing pile of data. But, with data seemingly everywhere, why are so many marketers still feeling like there’s not a drop to drink? Leaders Have a Data Strategy and Enable More Teams with Data In this research report from June 2017, Econsultancy surveyed more than 700 marketing and analytics executives at consumer brands to better understand how data factors into marketing strategy — and daily decision making. Two-thirds of leading marketers — those who outperformed their top business goal — say they currently have a documented data and analytics strategy. In this report, you’ll also learn how leaders have built data-driven cultures and why they are more likely to use: digital analytics to optimize user experience in real time audience-level data to personalize customer experience customer-level data to segment a
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Google Analytics 360 Suite
Published By: Google Analytics 360 Suite     Published Date: Sep 05, 2017
Today’s meandering customer journeys take place over multiple channels and devices. Each interaction creates a stream of digital information, leaving marketers with a growing pile of data. But, with data seemingly everywhere, why are so many marketers still feeling like there’s not a drop to drink? Leaders Have a Data Strategy and Enable More Teams with Data In this research report from June 2017, Econsultancy surveyed more than 700 marketing and analytics executives at consumer brands to better understand how data factors into marketing strategy — and daily decision making. Two-thirds of leading marketers — those who outperformed their top business goal — say they currently have a documented data and analytics strategy. In this report, you’ll also learn how leaders have built data-driven cultures and why they are more likely to use: digital analytics to optimize user experience in real time audience-level data to personalize customer experience customer-level data to segment and r
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Google Analytics 360 Suite
Published By: IBM     Published Date: Feb 04, 2014
With higher mobile use comes more opportunities to reach consumers in different ways. How are you reaching your customers and making them consistent consumers?
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ibm, mobile marketing, mobile, enterprise marketing management, management, consumers, customers, innovative marketing, cross-channel experience, mobile users, mobile consumers, retailers, marketers, higher mobile use, digital analytics, benchmark data, mobile-only, online retailers, mobile applications, mobile opportunities
    
IBM
Published By: IBM     Published Date: Apr 22, 2014
Consumers are leveraging innovative and richly functional mobile devices to become connected and empowered like never before, reshaping the consumer/marketer relationship and raising the stakes for marketers to utilize the mobile channel to engage shoppers and drive revenue.
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ibm, mobile marketing, mobile, enterprise marketing management, management, consumers, customers, innovative marketing, cross-channel experience, mobile users, mobile consumers, retailers, marketers, higher mobile use, digital analytics, benchmark data, mobile-only, online retailers, mobile applications, mobile opportunities
    
IBM
Published By: IBM     Published Date: Apr 29, 2014
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
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ibm, banking, data mining, social media, consumer insights, business analytics, social business, business technology
    
IBM
Published By: IBM     Published Date: Nov 04, 2014
How can you gain the insights you need to build stronger relationships with customers and improve your business results this holiday season? Read this ebook and discover how 10 leading companies are gaining deeper insight into their customers, enabling them to provide personalized experiences that engage customers across channels, increase conversions and drive revenue. Find out how they’ve harnessed the power of customer understanding and analytics to drive business results.
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consumer analytics, customer engagement, revenue growth, emerging marketing, crm & customer care, marketing research, sales
    
IBM
Published By: IBM     Published Date: Feb 04, 2015
Telerx reveals new insights into consumer behavior with speech-to-text analytics.
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consumer behavior, speech-to-text analytics, telerx, consumer intelligence, consumer research, customer experience/engagement, business intelligence, market research
    
IBM
Published By: IBM     Published Date: Apr 13, 2015
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers. Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
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omni-channel merchandise, ibm, targeted offers, localized offers, customer satisfaction, corporate performance, emerging marketing, internet marketing, crm & customer care, marketing research, sales
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
"71% of consumers do some digital research before buying an insurance policy, and 26% of those surveyed had purchased their policies online. Insurance companies are investing in interactive websites, mobile apps, and analytics software to help them optimize their processes, increase sales, improve customer service, and boost their financial standing. But is this enough to keep up? As technology continues to advance, leading insurance companies are already looking ahead to the next big advance that will transform the industry: cognitive computing."
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cognitive computing, analytics software, ibm, insurance, process automation
    
IBM
Published By: IBM     Published Date: Apr 14, 2016
Information associated with consumers can provide a lot of value - if insights from that data can be quickly and accurately attained. This IDC iView will share results of a recent IDC study and provide insights you can use to better understand how advanced analytics strategies can help you enhance the experience for your audience, grow your viewers and advertisers, and increase revenues.
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ibm, media, entertainment, audience analytics, idc, idc iview, customer experience/engagement, business intelligence
    
IBM
Published By: IBM     Published Date: Jul 22, 2016
Read this white paper to learn how a convergence of trends in consumerization and technology is transforming healthcare, and get an in-depth look at the key challenges and opportunities ahead.
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wedi, consumer-drive, mobile-first, healthcare, commerce, analytics
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: IBM     Published Date: Feb 27, 2017
Advancements in analytics have sparked renewed excitement in the consumer products (CP) industry. Maturing analytics capabilities are now delivering greater value across major CP functions including marketing, sales, merchandising, supply chain, and more. Thus helping CP companies become more consumer and customer focused in all aspects of their businesses. Read this research report conducted by 'Consumer Goods Technology' to understand how, next-gen analytics capabilities is key in unlocking a deeper understanding of customers, help create successful new products, foster brand advocates and optimize distribution channels and ultimately shape demand
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cgt, analytics, consumer goods, distribution channels, advanced analytics
    
IBM
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