As marketing programs become more expensive, and response and conversion rates plummet, knowing your customers is key to maximizing the profitability of your direct marketing campaigns. View this brief video to learn how you can gain valuable insight into your customers' behaviors and more accurately predict how they will respond to your marketing efforts.
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
The rise of the social consumer creates tremendous opportunities for organizations to develop deeper relationships with their customers in support of their business objectives. Whether your goals are to acquire new users, increase on-site engagement, or collect and leverage customer insights (or all of the above), a comprehensive user management platform solution will play a critical role.
View this brief video to discover how customer analytics provides unique insights on an individual customer level that can help prevent high-value customers from leaving and sell additional services to current customers.
Most CRM systems rely on historical analytics that provide a "rear-view mirror" of your customer relationships, offering little support for the decisions that shape the future. With predictive analytics, you can meet your customers' evolving needs with forward-looking insights that anticipate changes in customer attitudes, preferences, and actions. This white paper from IBM describes how a set of five predictive imperatives can help ensure that your company maximizes the value of its customer relationships and sustains higher levels of revenues and profits.
With customer analytics-including predictive analytics, social analytics, business intelligence, and decision management-companies are empowered to improve the customer experience and maximize business outcomes by being proactive, rather than reactive. Comments made in social channels about a perceived problem with a checkout tool on a company's website, for example, can alert company decision-makers about a potential issue before it hits the contact center.
View this demo to find out how IBM SPSS® solutions for predictive customer analytics can deliver deep customer insights that help you tune your marketing efforts-effectively and efficiently attracting new customers, nurturing customer relationships and retaining ideal customers. Watch how IBM SPSS software uses existing customer information to help you do the following: Identify your best customers for targeted marketing programs with customer segmentation, cluster and profiling techniques; confidently predict which customers will respond to your offers with powerful predictive models; get more out of every customer interaction by delivering real-time, predictive intelligence to front-line decision makers; and enrich and deepen your customer insight with social media analytics.
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
Channel proliferation has made understanding who your customers are and how they interact with your brands over time and across channels dramatically harder. Watch this webinar and learn about IBM's customer analytics and how it can help serve you.
Learn how to create a differentiated shopping experience using customer analytics. Learn from 3 key panelists who will show their expertise in in by gaining insight into customer perceptions, predict and influencing customer actions and more.
In this new white paper by Peppers & Rogers Group and IBM, readers will learn how to harness customer insight from myriad interactions to profitably grow revenue, increase loyalty, and go from good to exceptional.
To help organizations in their pursuit for deeper customer insight, we have identified four stages of organizational capabilities, which are enabled by four associated customer analytics strategies. Read to find out more.
Download our 2014 Digital Trends report, created in partnership with eConsultancy, to discover the trends that are driving exceptional customer experiences — and the tools you need to gain a competitive edge.
Adobe can help you seamlessly capture customer data, track offer performance and deepen customer relationships with more consistent and relevant offers across channels. See how our Adobe solutions work together to help you build your next best offer.
Beyond a customer’s digital profile is their real-world identity. Knowing this information and how it fits into the full customer journey is critical. Along with in-store purchase data, you can also gain insight into their brick-and-mortar buying habits, like the time of day they’re most likely to shop, the average time spent in a store, the frequency of their visits or the categories of products for which they shopped.
It’s such a diverse space, and today’s discerning shoppers rightly want a consistently great retail experience. This means a fully personalised and user-friendly service, across multiple devices and touchpoints. Nowadays, a run-of-the-mill digital experience just doesn’t cut it.
This digital trends report shows that this era of experience is definitely here, but it also highlights some key challenges for businesses making the change. For example, the respondents overwhelmingly claim that customer experience is their most exciting opportunity. Many of them are investing in content and design, looking to create those experiences that will feel personal, compelling and memorable.
Published By: Quantcast
Published Date: Jul 16, 2013
Increased competition in a world of growing and complex data requires tremendous resourcefulness to both find and implement scalable ways to grow your business. Using sophisticated data modeling coupled with real-time media buying, US Cellular was able to reduce their CPA to 46% below the campaign average. Read how big data works to drive customer acquisition in the complete success story.
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use.
Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights.
Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
The sheer volume of data available to marketers can be daunting, especially without a data management platform (DMP). With a DMP, marketers can handle growing data challenges, create powerful customer insights and deliver marketing campaigns that increase revenue.
To select the best payroll provider possible, who better to ask than your peers? With more than 400,000 reviews from real software users, the G2 Crowd business software review platform will help you confidently make the right choice.
The G2 Crowd payroll report compares how providers rank in terms of customer satisfaction, specific features, industries, and more. To help you evaluate your payroll options, get this FREE copy of the G2 Crowd payroll report (a $599 value).
This exclusive research includes:
· Detailed profiles of 27 payroll providers
· Ranking based on customer feedback
· Assessment of implementation, integration, support, and ease of use
· Actionable insights to help you decide
Published By: QuickPivot
Published Date: Mar 28, 2016
Welcome to the retail landscape of 2016. Customer data is a monster unleashed. Newly self-aware customers and rapidly advancing technology create challenges for brands looking to get a foothold and truly deliver the relevant, real-time experiences those customers have come to expect. QuickPivot’s research brief “2016 Retail Predictions, Insights from Industry Gurus”, provides the insights businesses like yours need.
Watch this webinar to hear the VP of Enterprise Data Management for Sutter Health, Vijay Venkatesan describe the challenges and successes that Sutter Health faced in driving their enterprise wide data strategy.