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How Can Big Data Contribute To Digital Marketing Success? Posted on Nov 08 - 2018

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Gone are the days when marketing decisions were guided by intuition and experience. Important marketing decisions are now determined by big data. This refers to the study and application of big, complex datasets, which cannot be processed by traditional data-processing applications. These figures generate insights that can lead to better business decisions and strategic moves. The application of the right technology improves the quality of decision making and detailing processes.

As the number of outputs and customer characteristics have increased, companies are faced with huge volumes of both structured and unstructured data. This level of processing is beyond the capacity of traditional databases and software techniques.

I use Google Analytics extensively in my work and also have my hands on a couple of big data tools. Digital marketing is my area of expertise, so I know where businesses can start when using big data in digital marketing. In this article, you will learn three examples of how big data can be leveraged for digital marketing success.

Designing Better Marketing Campaigns

Big data enables companies to better target the core needs of customers by developing rich and informative content. Let’s understand how it helps companies collect data about customer behaviors. One example is cookie files. They collect information about customers’ activities as they browse the internet, generating personalized data in the process.

Campaigns that use big data are more effective than aggregative advertising used in the past. The good thing about using big data for creating marketing campaigns is that it takes the guesswork out of determining what customers want. Marketers can develop different buyer personas using data like customer behavior, purchasing patterns, favorites and background. For example, they may find that women are more likely to respond to email campaigns, use coupons and engage in bargains and deals, and shape their digital marketing campaign from there.

Though applying big data to digital marketing is a great idea, it’s necessary to use good analytical tools to ensure the data presents valuable conclusions. These methods ensure that actionable insight is derived in an efficient manner so that companies can make their decisions without delays. To evaluate what makes a good analytical tool, it should be able to access all types of data including cloud, social media data, log files, websites, emails and other unstructured data. It should support campaign attribution tracking, real-time analytics, funnels and third-party testing and integration tools.

Making Better Pricing Decisions

Traditionally, companies price products and services using basic information like product cost, competitor pricing, perceived value of the product from the customer and demand. With big data, you can use many other factors to make pricing decisions. For example, you can use data from completed deals, incentives and performance-based data. Big data emphasizes making pricing decisions as granular as possible, particularly in the business-to-business (B2B) sector, as each deal is different from the next. View More

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