Datrics automates social media data collection and visualization to make data-driven decisions


In 2022, the number of people using social media (SM) platforms exceeded 4.5 billion users worldwide, equating to about 58% of the global population.

Today, SM is an affordable and effective way to connect with your target audience, increase brand awareness, engage with customers, and grow your business.

However, leveraging the benefits of SM is not so easy, especially when the number of platforms is growing, new types of content are emerging, and customer expectations continue to change. A marketing strategy implemented based on a hunch is at risk of losing relevance. Further, it raises the need for high-quality analytical tools capable of tracking and analyzing your performance across different SM channels so you can make accurate data-driven decisions.

SM data helps you to:

  • Understand your audience → what your customers want, what type of content is more engageable, when is the best time to share, etc.
  • Measure the success of your marketing campaigns → identify which tools help you to become more viral, which are better at delivering long-term leads, and those that generate greater engagement with your social campaigns by extending their reach.
  • Figure out what your best social networks are → be ready to prioritize SM platforms by the size of their audience and the traffic they can deliver to your product pages. Find out what’s working and what’s not, where you should invest more, and what you should stop wasting time on.
  • Make smarter business decisions → communicate directly with your target audience, test and validate different development strategies with users, and better understand their demands.

The Challenges

A variety of analytical tools are ready and waiting to help you generate automatic reports and track the performance of your SM metrics. Even native SM tools have this kind of functionality. But what to do if you want more control over your data and leverage different tools to get the most out of it? How can you customize your analytics across multiple SM while only tracking the KPIs that are most relevant to your business?

The Solution:

Datrics has recreated and reorganized the process of automatically collecting data from social media. Our low-code data analytics platform allows you to collate all your SM data into a visualized report that illustrates a complete picture of all your SM channels (Facebook, Instagram, Youtube, Discord, Discourse, Reddit, and Telegram).

The platform’s capabilities include:

  • Setting up API connectors to pull the activity data from the SM page using admin credentials and standard Datrics platform bricks.
  • Using Datrics Bricks to transform the collected data into the proper format and generate new metrics, or use low-code possibilities when more customization is needed.
  • Exporting the processed data into the database. The data is then made ready for dashboarding or using it to compile the custom visualizations.

The Result

The Datrics platform allows clients to quickly address these problems without involving a development team.

The process with Datrics consists of the following steps:

  • Developing centralized analytics — a single place to view and compare the major metrics for all social media accounts used, so you don’t have to check each platform individually.
  • Expanding new custom metrics so you can dive deeper into more granular customer analysis for a particular SM channel.
  • Making your analytics come to life — automatically updated every day or more frequently depending on your preferences.
  • Making your analytics accessible and insightful with configurable dashboards.

Datrics allows you to take advantage of the outcomes of your work and deploy a meticulously crafted process that follows the set ETL steps as per your stipulated schedule - at any given time, hourly or daily, or any other frequency - with zero need for manual intervention. This will not only help improve ROI but also bring greater transparency and facilitate tracking performance metrics and achieving goals.

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