Sales business is getting harder and more competitive day after day. Both physical retail and e-commerce offer a wide variety of brands and products, which makes it more difficult for an average sales person to seal the deal with potential customers.
Sales professionals have to be clever and extremely analytical before even approaching their clients. That’s why they use data science to skyrocket business. Data science is a contemporary statistical model which seeks to provide meaningful information from large amounts of complex data.
According to the study, this type of business analytics is expected to generate almost $170 billion in 2018. If you want to keep the business stable and highly profitable, you should consider embracing data science in everyday work. This post will show you 3 ways to do it successfully.
Data science is based on artificial intelligence that has enough analytical power to give you remarkable insights into the traits of all prospects. Using this tool, you can personalise sales negotiations so as to match the exact needs of each client individually.
For example, data science will tell you the basic demographic features like age, gender, and location. But it goes beyond that and reveals income levels, professional titles, or personal interests based on online searches. All these inputs allow you to customise offers according to client’s preferences.
Related: Can Your Marketing Team Speak Data?
At the same time, you can prioritise prospects based on company size, predicted revenue, long-term potential, industry influence, or any other feature you might consider relevant to your business. This way, you can dedicate more time to the more important prospects and increase profitability just because you know who to talk to first.
It’s much simpler to sell products to existing customers than to attract new buyers. Data science can help you to upsell products and increase the profit using the base of loyal clients. The system is simple – data science analyses the purchasing history and the preferences of every customer and suggests complementary products. That way, you make sure that your upselling suggestions stay relevant, which not only reduces bounce rates but also strengthens the base of loyal clients.
Create Ambitious Sales Quotas
Creating sales quotas has never been an easy job. Most companies are selling dozens of products in many cities, regions, or even countries, which makes it difficult for sales managers to manually determine ambitious but realistic quotas for their agents.
It’s actually one of the biggest reasons why managers underperform and fail to meet company requirements. However, data science makes this task a lot easier because it can automatically conduct the research and decide how much is enough for every sales representative in your team.
Company Aussie Writings uses data science to make sales forecasts and here’s what they say about it: “The new business analytics model goes through huge volumes of data within minutes, detect sales trends, and gives us a good plan for each agent, product, or region. With such powerful tool at our disposal, we don’t put too much pressure on sales representatives, but we also don’t have to worry about underachievement.”
Data science helps businesses to analyse potential clients more comprehensively and increases the odds of keeping sales high in the long run. It’s a perfect model for entrepreneurs who want to stay competitive in the abundance of brands, products, and services.
In this post, we showed you 3 ways you should use data science to skyrocket sales. Which tip could give your company the biggest boost? Let us know in comments and don’t hesitate to ask us if you need any additional information about this topic!