* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download How to Efficiently Extract Key Marketing Insights from Big Data
Guerrilla marketing wikipedia , lookup
Product planning wikipedia , lookup
Digital marketing wikipedia , lookup
Web analytics wikipedia , lookup
Bayesian inference in marketing wikipedia , lookup
Neuromarketing wikipedia , lookup
Viral marketing wikipedia , lookup
Integrated marketing communications wikipedia , lookup
Youth marketing wikipedia , lookup
Marketing plan wikipedia , lookup
Marketing strategy wikipedia , lookup
Advertising campaign wikipedia , lookup
Target market wikipedia , lookup
Marketing research wikipedia , lookup
Direct marketing wikipedia , lookup
Green marketing wikipedia , lookup
Street marketing wikipedia , lookup
Sensory branding wikipedia , lookup
Marketing mix modeling wikipedia , lookup
http://www.hoovers.com/lc/sales-marketing-education/efficiently-extract-marketing-insights-from-big-data.rt-article.html#.Uz2PEPlShbQ How to Efficiently Extract Key Marketing Insights from Big Data It seems the big data boom is happening everywhere—from the technology sector to the financial vertical to the marketing world. Today’s marketer is tasked with originating customer-satisfaction initiatives and is so inundated with big data—thanks to the ability to partake in competitive research and business analysis like never before—that often they are left trying to muddle through all the facts and figures. Specifically, according to Teradata's 2013 Data Driven Marketing Survey, which compiled responses from over 2,200 marketers across the world, 40% of marketers grade their department with a C or lower when it comes to using data to drive marketing efforts. The survey also found that: 71% of marketers plan to implement a big data analytics solution in the next two years Less than 10% of companies use the data they have in a systematic way And, perhaps most importantly, an overwhelming 75% of respondents revealed that they experience difficulty with calculating the ROI on their data-driven market spend. So, as a marketer, how do you filter through the big data boom? By understanding exactly what you are searching for. Most importantly, as you start aggregating pertinent business information about your marketing efforts, determine what you want to extract from this data. For example, if your data is telling you something that you already know, then it's not valuable. Instead, focus on finding out what you don’t know and searching for solutions to problems your company addresses. Perhaps that means understanding the unique needs of all your key stakeholders. For instance, if you have a firm grasp on the behaviors and spending habits of customers on an individual and group basis, use this powerful business information to predict—and even influence—the consumer lifecycle. This research can be used to create customer-incentive programs, to launch loyalty programs, to spearhead new marketing efforts, and to introduce new company offerings. Moreover, you can extract data about the success of your marketing efforts, from social media to print advertising to email marketing, to measure audience engagement and excitement and to predict future customer behavior. Simply put, by sifting through big data and extracting the critical information, you can make better decisions more quickly. "The role of the marketing department is changing dramatically because of analytics," explains IBM Analytics Academic Programs Manager Richard Rodts. "They're not just looking at the consumer; it's how the consumer feels about the brand, and how individuals feel about the brand, and how we recognize and interact with individuals specifically as a marketing department." With only 10% of your competitors understanding how to use real-time data and business information effectively, according to market research by IBM, you're uniquely positioned to make solid ground on your competitors. Keep in mind that 90% of big data becomes missed opportunities, so your goal as a marketer is to review data and analytics, share your insights with colleagues and identify the actions that can be taken to make your company’s offerings even more robust. Thanks to the advent of modern technology and the “Age of the Consumer,” marketers are always seconds away from learning pertinent information about their target market. Consumers are empowered thanks to the rise of cross-channel marketing and engagement marketing; your job as a marketer is to listen to what they are telling you, avoid becoming blinded by the big data numbers, and keep your eyes on those relevant stats and figures that will drive profitability and return on marketing investment dollars. CQ Tags: CQ Tags Function Marketing Enterprise Type SmallBusiness Mid-SizedBusiness LargeBusiness D&B Partner D&B Alliance Hoover's Partner Market US Industry n/a Solutions IT Spotlight Reports Customer Analytics List Cleansing & Data Append CRM/ Marketing Data Integration Content Type Article Business Trend Big Data Business Intelligence License? no