As a small business owner, you have to work hard to gain followers and find loyal customers. In a world with many different businesses and over-saturated markets, you need to develop a strategy that will help you stand out among your competition. Look for ways to gain that competitive advantage and increase your engagement rate so you can scale your small business to the next level. There are many different techniques to help you do so, but the most efficient is by taking advantage of data science.

You get a lot of big data even as a small business. Data science tools help you process that information and gain insights that can help your business grow and succeed. No matter the size of your company, you need to track your customer data, improve your automation technology, integrate your information, and visualize a future path. Data science can give you the power to make informed, strategic decisions for your target audience. Improving your marketing is the best way to gain a higher follower count and keep your small business on the map. Here are a few of the must-have data science tools for your small business.

Marketing Algorithms

How you market your small business should be your top priority. And in the age of social media and digital platforms, there are more creative ways to do this than ever. Many places have turned to influencer campaigns to help increase product sales and the number of followers. Whether you are using micro influencers with less than 100,000 followers or macro-influencers that surpass that number, these campaigns can work as excellent word-of-mouth marketing. Allow your influencers to take advantage of the algorithms your data science develops to make personal connections with your niche markets.

Customer Tracking and Analytics

The best use of data science analytics is to track your customer data and information. Thanks to data mining techniques you can understand past trends and use those to your advantage. See what fostered a higher engagement rate previously so you can repeat that success. By utilizing end-to-end communications that everyone can understand and appreciate, you can make decisions in real-time to meet the needs of your customers.

Predictive Modeling

Once you identify past behaviors, your analytics software can actually model and forecast for the future. Predictive analytics allows you to build a marketing strategy that you can watch play out ahead of time. By working toward the future and having a sense of how to improve, you can help your small business grow.

Integration Platforms

As your data analysis becomes more relevant to your small business, you may have trouble keeping up with all the different disciplines. This is why integration is a key aspect of your data science platforms. Invest in programs that connect with each other and communicate in true, collaborative ways. This way you can have easy access to whatever data points and information you need in one place. This helps you prioritize your data and operate more efficiently.

Machine Learning and AI

There is a lot of busywork that is involved in data analysis. With the help of machine learning and AI technology, your digital platforms can take over and make decisions completely on their own. By creating custom algorithms to process information and product content, you can help your small business succeed while you focus on big-picture items.

Data Visualization

It can be hard to understand all the new data coming your way. When you want to read your information properly and use the insights to the best of your ability, you’ll need visualization tools as a part of your data science arsenal. By creating visuals of your data, you and your team can better understand them and see patterns that would otherwise go unnoticed.