Top 5 Challenges Of Data-Driven Decision Making in Marketing Faced By Marketers

1. Top 5 Challenges Of Data- Driven Decision Making in Marketing Search Console Dashboard | Google Ads Dashboard | Tableau | Google Analytics Dashboard

2. Introduction Data-driven decision-making (DDDM) uses metrics, facts, and data to guide the strategic business decisions that will align with the business goals, initiatives, and objectives. Organizations have to realize the complete value of the data – this means everyone, whether a business analyst, human resource specialist or sales manager, is empowered to make wiser business decisions with data every day. But it's not possible to achieve it by simply using the appropriate analytics technology to identify the next strategic opportunity. The organization should make data-driven decision making the norm for creating a culture that encourages curiosity and critical thinking. Since DDDM in this current world has a new set of challenges to face, here are some of the challenges that can face in today's digital marketing landscape.

3. Top challenges of data-driven marketing: Finding and maintaining the data – For marketing to truly be data-driven, the data must be of high quality. Quality data that are timely and accurate must be maintained and updated over time. This means the data must be updated so that they will be relevant. Marketers can achieve it with the marketing reporting dashboard that helps collect data from various sources to a single place.

4. Targeting the segmented audiences – Traditionally, the advertising method was sending the message to the masses and hoping to see its results. But when accompanied with the right data will give you the ability to segment the audiences. Ideally, this method will help you find the target audience and specifically target them with the message to fulfil business goals. Breaking down the data silos – Data silos created when collecting data from several sources was impossible to merge at times. This makes it much more likely to get duplicate data that cannot be separated. Luckily, with the help of Google dashboards its possible to collect data and manage it effectively.

5. Using real-time data – In this digital age, things change instantly. Customers usually use multiple devices when considering a purchase. Hence, real-time data signals must be known to ensure that you connect with them at the right moment at the right channel. Real-time Google analytics data are collected and can be turned into valuable insights to reach the audience at the right time. Making meaningful connections – Sometimes, marketers just focus on the data and forget to understand it completely. Targeting efforts should originate with the goal of making the real-human connections but just gathering the data and analyzing it to increase the revenue.

6. Why Powermetrics? At Powermetrics, we provide the solution to improve your data-driven marketing strategy. You can use the Powermetrics Data Studio Dashboard to collect the data and better understand it using the right template. Get started today to improve your marketing efforts.

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