Why is analytics more important than ever in Marketing?

What is Marketing Analytics?

It is a practice to measure and analyze Marketing performance, seeking to create efficiency and increase the “ROI” return on investment, making better use of the budget. This occurs from various sources that provide data, such as social networks, websites, emails, blogs.

It is a crucial objective to create an analytics of all these channels to create an overview of the performance of an organization’s marketing activities.

Why is marketing analytics necessary?

Today digital marketing that precedes web pages, is the source of information and contacts. This analysis of the marketing created, allows us to concentrate the information necessary to find potential clients, and create a safe and lasting base for the growth of the company.

Thanks to the marketing analysis metrics, companies have the possibility to validate if their actions are adjusted to their objectives and their vision.

Marketing analytics can be leveraged from simple metrics to data sets where a campaign can be built. In inbound sales, marketing analysis data is used to gain insight into the target audience and prepare how to target that audience. In the analysis of the traffic of a website, when a user logs in, the average time of a user within the web, helps us to better understand its performance and adjust different strategies according to that data, to create a greater reach.

In addition to visualizing and understanding market trends and customer behaviors, as well as evaluating the performance of marketing strategies, they help us to better distribute the budget based on marketing and maximize the return on investment in decision making. based on statistical data.

Why is the implementation of marketing analytics important?

  • Understand what happened

Information on previously applied strategies is obtained, allowing them to be studied to understand why the results have been configured in a certain way. With an analysis of past results, marketing teams can avoid similar potential mistakes in the future.

  • Understand what is happening

This marketing analytics also provides information about the performance of current marketing activities, is a real-time status of each effort, allowing to help improve and optimize current campaigns.

  • Know the future

Through regression analysis and collaborative filtering, as prediction models in marketing analytics, companies can get ahead of their consumer behavior.

Predicting the probability that a user will leave or stay on your website or know when a customer could become a potential customer. Automated learning and statistical algorithms are the step towards streamlining processes and predicting future results.

  • Maximize every effort

The union of marketing analysis together with market research could be a fundamental activity to optimize efforts and rationalize budgets at the right time. At the same time assimilating the marketing analysis into clear objectives in the market research, it will allow companies to take advantage of the different data.