Providing a great customer experience and achieving customer satisfaction is a priority for all businesses. Analysis and interpretation of data can help you achieve a greater level in terms of customer satisfaction. Econsultancy columnist Jeff Rajeck has shared four ways to optimize customer experience using data & analytics. On collecting more and more days, Rajeck says, “In the discussions, marketers spoke about their experiences of using data and analytics to improve their customer experience, yet not a single participant complained about having ‘too much data’. The reason... [...]

Predictive analytics, a branch of advanced analytics techniques uses data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future. It helps marketers plan out themselves for the future trends. Forbes contributor Kimberly A. Whitler has interviewed Shari Johnston, SVP and Head of Marketing at Radius, on how to use predictive analysis in marketing. Johnston has shared five ways for the marketers to use predictive analytics. Johnston says, “Predictive analytics is a tool that enables marketers to improve their go-to-market... [...]

In your business, competitive analysis help you identify your competitors and evaluate their strategies to determine their strengths and weaknesses related to your own product and services. HubSpot columnist Christine White has published 57 questions to help marketers start competitive analysis. White says, “Every brand can benefit from regular competitor analysis. By performing a competitor analysis, you’ll be able to: Identify gaps in the market Develop new products and services Uncover market trends Market and sell more effectively How to Identify Your True Competition First,... [...]

In marketing, performance analysis of your campaigns helps your find out its effectiveness. Such analysis helps you plan out your further campaigns. In the process of marketing campaign analysis marketers make mistakes sometimes which leads to wrong interpretations. Entrepreneur’s VIP contributor Jayson DeMers has shared seven most common marketing analysis mistakes that new marketers make. DeMers says, “The process of analysis is arguably the most important element of any marketing campaign. You can gather as much data as you want, but unless you’re analyzing it effectively, it won’t... [...]

Forrester is hosting a webinar on ‘Predictive Marketing Analytics: Vendor Capabilities And Buyer Considerations’ on Tuesday, September 12 at 1.00 am ET. This webinar will highlight the importance of predictive analysis and how it is important for B2B marketers. The Forrester team says, “Predictive marketing analytics (PMA) for B2B marketers is a rapidly changing market with diverse service providers whose offerings are not as homogeneous as one might assume. As such, business requirements for buying firms require careful examination to achieve the right match. Drawing from The... [...]

Econsultancy is hosting a webinar on ‘Measurement & Analytics: Trends, Data and Best Practice’ on Thursday, September 28, 2017 at 9.00 pm EST. The Econsultancy team says, “Econsultancy’s Trends Webinar for September 2017 looks at emerging trends, case studies and the state of Measurement & Analytics. This insight will come from Econsultancy’s own research along with collated third-party data and statistics, hosted by our in-house research analyst, Sean Donnelly”. ‘Measurement & Analytics‘ Webinar  [...]

Econsultancy’s Jeff Rajeck is publishing a series of articles focused marketing analytics. Previously he has posted about Descriptive Analytics, Diagnostic Analytics and Predictive Analytics. He has published the fourth article on Prescriptive Analytics. Rajeck says, “Paradoxically, understanding the complex area of prescriptive analytics starts with a simple question. In marketing, why do we do what we do? Dispensing with trivial answers to that question, most marketers do what they do because, relying on experience and reflection, they believe it is the right thing to do. For example,... [...]

Econsultancy’s Jeff Rajeck is publishing a series of articles focused marketing analytics. Previously he has posted about Descriptive Analytics and Diagnostic Analytics. He has published the third article on Predictive Analytics. Rajeck says, “With descriptive and diagnostic analytics, we are able to describe data and offer explanations for why certain events happened. Notably, both techniques use data from things which happened in the past. The data itself, therefore, is never in question, even if the diagnoses are controversial. With predictive analytics, we are still relying on data... [...]

After publishing an in-depth article on Descriptive Analytics, Econsultancy writer Jeff Rajeck has published a second article focused on Diagnostic Analytics. Rajeck says, “Previously, we discussed how descriptive analytics will tell you what just happened. To understand why, however, you need to do some more work. You need to perform diagnostic analytics. In many cases, when there is a single ‘root cause’ of the situation, diagnostic analytics can be quick and simple – you just need to find that root cause. But, if no root cause is apparent, then you need to use diagnostic... [...]

In descriptive analytics a summary of historical data is created to yield useful information and possibly prepare the data for further analysis. So it is one of the initial steps of analytics. Econsultancy’s Jeff Rajeck has published an in-depth article on descriptive analytics. Rajeck says, “For a start, descriptive analytics only uses facts and real data. Descriptive analytics should not include assumptions or derived data which cloud the description. For example, the report described above should not include estimates and any missing data should be clearly noted. Descriptive analytics... [...]