In today’s digital world, the internet is the most effective way of raising your profile and building an audience. Whether you’re running a business or starting a career as an influencer, digital marketing can enhance your online presence and enable you to connect with your target market.
With more than 4.2 billion active users worldwide, social media should be a key component in any digital marketing strategy. While there are numerous social media platforms to use, Twitter is undoubtedly one of the most important. From breaking news and celebrating gossip to local insights and scientific breakthroughs, Twitter is a go-to resource for a significant percentage of the population. What’s more – its advertising audience of 353 million users makes it a prime platform for businesses and influencers.
However, social media success doesn’t come easily, which is why you’ll need an innovative strategy if you want to get the most out of your tweets. By using data science to hone your tactics, you can transform your social media performance and fast-track your goals. To get started, take a look at these three ways data science can improve your Twitter strategy:
1. Enhanced Social Listening
Social media can be a powerful tool, even before you start publishing tweets or posts. By merely knowing what users are posting about, you can gain important insights into the latest trends.
This phenomenon, known as social listening, generates information that can be built into your own social media strategy. When you know what topics are currently popular, for example, you can post on-trend content to attract more followers and raise your profile.
With more than 500 million tweets being published every day, however, attempting to implement social listening manually is simply impossible. Fortunately, data science methodologies enable you to analyze the data in real-time and extract the information that’s most useful. As a result, you can identify up-to-date trends and use them to optimize your own strategy and content schedule.
2. Accurate Keyword Extraction
Social listening can be an effective way to identify global trends, but what if you want to access information that relates only to your industry? Alternatively, what if you want to find out what your customers are saying about your brand or products? With keyword extraction, data science allows you to pull data that relates to a specific topic, or ‘keyword’.
Even if a term isn’t attached to a hashtag or your customers don’t mention you by your handle, data science enables you to dip deep and extract the critical information you need from a sea of tweets. As a result, you can use the insights generated to enhance your product development, hone your branding and expand your Twitter strategy.
3. Valuable Predictive Analytics
If you could predict the future, there’s no doubt you’d be able to cater to your target audience more effectively and increase your success in the process. For businesses, the power of predictive analytics can maximize profitability and allow you to outperform your competitors, which is why it’s so valuable.
As well as gaining insights from historical data, you can use data science to accurately predict future events, trends and consumer behavior. By using machine learning to process vast amounts of data that’s been mined from social media, you can put predictive analysis to work as you get a glimpse into the future.
By doing so, you’ll have the opportunity to get ahead of the latest trends and create original and insightful content in advance. Then, it can be released as trends begin to break, so that its impact can be maximized. As a result, you can transform your social media performance and significantly increase your digital marketing ROI.
Make Data Science Work for You
The power of data has been well-known for some time but it’s only relatively recently that we’ve been able to process and analyze large amounts of information. In fact, it’s thanks to data science that we’re able to embrace the era of Big Data and use it to optimize online and commercial performance.
This is one of the reasons why today’s businesses are taking a data-first approach to decision-making. From optimizing digital marketing campaigns and conversion rates to developing growth strategies and deciding where to invest, data-driven decisions are at the forefront of business management.
If you want to increase your profitability, boost your market share or even launch a successful startup, data science can help you to achieve your goals. Of course, it’s a complex subject that requires significant expertise, so it’s vital to develop your skills if you want to succeed. With an online masters in data science, however, you can ensure you’ve got the knowledge, ability, and insights you need to make data science work for you.
Maximize Results with Custom Data Analysis
As we’ve become more aware of the value of data, it’s become more available to us. Twitter and other social media platforms enable business users to access useful data and insights, for example. Similarly, social media management software can provide more detailed data analytics that can improve performance and enhance results.
Although this approach to data analysis can be useful, it doesn’t compare to a customized approach. When companies use in-house data science methodologies to build their own data mining and analysis programs, for example, they can access the data that’s most valuable to them, rather than relying on external information.
By reducing the risk of using skewed or incomplete data, businesses can enhance the value of the insights they’re gaining and use the data obtained in any way they choose. With access to virtually any data that’s required, companies have the potential to turn every business decision into a data-driven decision. By doing so, businesses can elevate their performance, reduce risk, and optimize results.
As Big Data comes to the fore, there’s no doubt that it will become even more important in the near future. By using data science, you can ensure that your Twitter and social media strategies, as well as your commercial performance, are optimized to deliver the best possible results.