How To Analyze Sales Data: Tools, Examples, KPIs

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What is Sales Data?

Knowing how to analyze sales data is a valuable skill that can be used to improve sales results. By tracking and analyzing sales data – concrete information about how your products or services are selling – you can identify trends, patterns and opportunities that can help you close more deals and increase revenue.

For example, you might see that your sales cycle is longer for certain types of customers. This could be because you need to do more research on them or because they are more difficult to close. Once you know this, you can take steps to improve your process for these types of customers.

Having this information is a great way to increase sales effectiveness and training. The more actionable data your team has, the better set up for success they’ll be.

An experienced third party that specializes in sales effectiveness and training within your specific industry can be a great resource for these situations.

To help you get a better understanding of your situation, let’s talk about the importance of analyzing sales data, how to do it and what steps you can take to improve your business’s process. Whether you’re at a private equity firm, a portfolio company, or a private or public company, you’ll benefit from being equipped with this overview.

READ MORE: Sales Process Workflow: Stages, Examples for Businesses

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Types of Sales Data

There are many different types of sales data that you can track. Here some of the most common statistics:

  • Leads: Potential customers who have shown interest in your product or service.
  • Opportunities: Sales prospects that have progressed beyond the lead stage and are being actively pursued.
  • Deals: Closed sales that have been won.
  • Revenue: Total amount of money generated from sales.
  • Customer satisfaction: Degree to which customers are satisfied with your product or service.
  • Sales cycle length: Amount of time it takes from the first contact with a lead to closing the sale.
  • Average deal size: Average dollar amount of each sale.
  • Sales team productivity: Efficiency and effectiveness of the sales team in generating revenue.
  • Sales team turnover: Rate at which sales team members leave the organization and need to be replaced.

READ MORE: Why Hire an Interim CFO?

How to Track Sales Data

Two common ways to track sales data are Customer Relationship Management systems and spreadsheet. The most important thing is to choose a method that works for you and your team.

As your company grows – or aspires to grow – a powerful CRM such as Salesforce or Hubspot will be a must. If you’re reading this article, you probably already have a CRM in place.

These platforms provide comprehensive tools for managing sales data, including tracking leads, opportunities, deals and customer interactions. You can easily input, store and retrieve data in a centralized location, making it convenient to extract meaningful insights.

A spreadsheet is probably only a good option for companies that are just starting out and have small sales teams. Microsoft Excel or Google Sheets offer basic functionality for organizing and analyzing sales data.

They allow you to create custom columns and rows to input sales data, and you can use formulas and formatting options to calculate totals, averages and other key metrics. While spreadsheets may lack the advanced features of a CRM, they can be a cost-effective solution for businesses with limited resources.

Regardless of the method you choose, it’s essential to establish a consistent and structured approach. This includes defining clear data entry processes, setting up regular data updates and implementing data quality checks.

It’s also important to define and track relevant sales metrics that align with your business goals, such as those mentioned in the previous section.

How to Analyze Sales Data

Analyzing sales data is a crucial step in understanding the performance of your business and identifying areas for improvement. One effective approach is to utilize various visualization tools such as charts, graphs and tables to represent your data in a visually appealing and easy-to-understand manner.

For instance, you could create a line chart to track the monthly trend of leads generated, allowing you to quickly identify patterns. If you notice a decline in the number of leads over time, you can take proactive measures to address the issue. For instance, you could revamp your marketing strategies, optimize your website for better lead capture or invest in targeted advertising campaigns to boost lead generation.

In addition to visualizing data, statistical analysis can provide valuable insights into sales performance. For example, you could conduct regression analysis to identify the key drivers of sales, such as the impact of pricing, discounts or promotions on sales volume.

By analyzing the statistical significance of these factors, you can make data-driven decisions.

It’s also important to compare sales data across different time periods, geographical regions or customer segments to identify any variations or patterns. Sales may be down from Q4 to Q1, for example, but up year-over-year.

If Q4 is traditionally your strongest quarter, there may be no need for concern. In fact, it’s probably worth celebrating the increase from the same period in the previous year.

Getting more granular, if you notice that sales tend to dip during certain months, you can strategize accordingly, such as by offering special promotions during those periods.

This information and more can help you tailor your sales strategies to better meet the needs and preferences of different customer segments or regions.

READ MORE: Sales Pipeline Funnel: Methodology, Process for Businesses

How to Use Sales Data to Make Decisions

Once you’ve analyzed your sales data, you can use it to make decisions about your strategy. For instance, if you observe that a specific product or service is underperforming, you may consider discontinuing it or revising your marketing approach.

On the other hand, if you identify a product or service that is performing exceptionally well, you may want to allocate more resources towards its promotion or expansion.

You can also use sales data to make decisions about your sales team. By analyzing individual sales performance data, you may identify trends or patterns that highlight areas for improvement.

For example, if a particular salesperson consistently struggles with closing deals, you may consider providing them with additional training or coaching to enhance their skills. Alternatively, you may identify high-performing sales team members and recognize their achievements to motivate the rest of the team.

How to Share Sales Data with Your Team

Sales data is not just for you. It’s also important to share your data with your sales team so that they can use it to improve their performance.

There are various ways to do this. For instance, you can create a shared spreadsheet or database that is accessible to all team members, allowing them to view and analyze data in real-time. This promotes transparency and fosters collaboration, as team members can collectively track progress, identify opportunities and take appropriate actions.

Another option is to send out regular reports that summarize key sales metrics and performance indicators (KPIs, or OKRs) to your team. These reports can be delivered via email, shared on a team communication platform or posted on a shared drive for easy access.

In addition, holding regular sales meetings or performance reviews where sales data is discussed and analyzed can provide opportunities for team members to provide input, share insights and collectively brainstorm improvement strategies.

It’s essential that the sales data shared with your team is presented in a clear and understandable manner, with relevant context and insights provided. This can help team members interpret the data correctly and use it to make informed decisions, set realistic goals and take actions that can positively impact performance.

READ MORE: How To Raise Prices Strategically with Sales Team Buy-In


Using sales data to improve your results is a continuous process. Perhaps this level of detail is new to your business, or maybe you’re unsure how to scale your existing strategy.

You might even be trying all these things and still not seeing the progress you expect.

It might be time to bring in an expertly vetted service provider that knows your industry inside-out and can equip your sales team and its leaders to reach the next level.

Whether you’re selling physical products, software, services or anything else that’s core to your business, the BluWave-grade sales effectiveness firms and consultants are on standby to help.

We maintain a close relationship with each and everyone one of the resources that make up our invite-only network, which means we know the best match for you before you ever contact our research and operations team.

Contact us today to lay out the challenges you’re facing to properly leverage sales data and we’ll connect you to two of three niche-specific matches in less than 24 hours.

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