The implementation of big data has proven to increase a company’s ROI by as much as ten to 20 percent depending on the metrics used. Productivity can also increase by five percent and lead to six percent higher profits than other competitors. Enterprises not using big data in their operations are missing out on the benefits that come from increased data gathering and analytics.
Digital Marketing is a dynamic industry centered on anticipating what’s coming next, whether it’s technology, trends or customer demands. Digital marketers tend to be data nerds, always looking for more metrics and the tools to help us collect them.
But let’s pause for a moment. Why are we doing this again?
Last week, Sitecore announced Sitecore 8, the next version of its Sitecore Experience Platform. Over the past few years, Sitecore and almost every other CMS provider has focused on providing marketers and other users with as many analytic tools as possible. In their campaign for this new version, Sitecore has stated a belief that when it comes to raw numbers, enough is enough. It's time to return the focus back onto the art of marketing.
When people think of big data, they naturally assume that it’s just about gathering large amounts of information to provide more accurate searches online and help companies provide more targeted advertisements and marketing efforts. They’re both right and wrong. True, there is so much more to big data than just marketing and advertising. It’s effects are now being seen in numerous industries across the globe. It’s solving world problems and improving the quality of life for millions of individuals. With all that, however, the big data platform such as that provided by Qubole is still making it’s presence felt in the advertising world — helping companies advertise better and consumers get more of what they want.
These days, everyone in the industry is talking about the importance of making eCommerce and CMS work together. Rightfully so. But I see another hot topic on the horizon, a bridge of sorts between content and marketing automation.
Content Marketing and Marketing Automation are in many ways continuations of the same process: whereas content marketing focuses on getting visitors to your website, and engaging them meaningfully in the web environment, marketing automation is about lead nurturing- where the end goal is to hand over hot(ter) opportunities to sales. These two systems can reinforce one another to help your site generate revenue. Below are some key points to keep in mind when considering integration.
Confirmit 2013 Market Research Technology Report highlights key industry changes over the past ten years New York, NY: Mobile technology, social media and multi-modal research have been the most positive technological developments in Market Research (MR) over the past decade, but firms have been challenged by disruptive elements including DIY surveys, data privacy and the displacement of fixed-line telephony during that time. These are some of the key findings of the Confirmit 2013 Market…
Digital marketing solutions provider applies search technology in new ways to unlock even more business value and enhance customer experience
EPiServer, a global software provider for innovative ecommerce and digital marketing solutions, today announced the release of EPiServer Find, a next generation search solution that helps businesses solve important acquisition, retention and increased conversions of digital marketing and e-commerce sites. The new solution offers multiple benefits for aspiring digital leaders, including agility by creating automatic landing pages and an ROI increase on existing content. With EPiServer Find, organizations can better position themselves to reach new and existing customers by elevating their sites to create an enhanced user journey and ultimately drive long-term business results.
Sitecore, the global leader in customer experience management, today announced early access to the next generation of its experience platform including the Sitecore® Experience DatabaseTM , a highly scalable big data repository that collects and connects actionable customer data to deliver unique customer experiences in real-time. Marketers can view the entire experience of every individual customer that engages with their brand through the Sitecore® Experience ProfileTM, also announced today.
It’s no secret that social media is a tremendous tool for keeping in contact with friends and family. Businesses have quickly picked up on just how effective it can be for marketing purposes as well, particularly mobile marketing. More people are connected to the internet than ever before, and mobile platforms are driving that explosive growth. In fact, internet traffic on mobile devices is expected to exceed the internet traffic on desktops soon. Much of that internet use is geared towards social media outlets, so mobile marketers are finding new ways to use social media to reach new customers and inform existing fans.
The world of marketing is only growing more complex as a variety of platforms and technologies are giving customers more access to businesses and products than ever before. These new challenges are forcing many marketers to adopt some new technologies of their own as they seek to reach out more effectively to a wider audience. The key to these new strategies is that of machine learning, which is playing a pivotal role in this new revolution of marketing, particularly among mobile platforms.
To truly grasp the big change machine learning is making to mobile marketing, it’s important to understand the traditional way marketers determined an effective offer. It’s called A/B testing, and it works by presenting two different versions of an offer and seeing which one gets the most positive response from a group of customers. Once the preferred offer has been chosen, that message is sent to everyone.
It’s easy to see the drawbacks to this decades-old method. Only two possible offers are presented, and even once the best one is found, it is sent to people that might not respond favorably. A/B testing does not take into account all the many different factors involving an individual customer’s decision-making process. Those factors, however, make for a lot of data that can be collected and stored by businesses in today’s information age. Sorting through such an immense collection is beyond the realm of possibility for humans, but that’s where machine learning comes in.