We’re failing to close sales. We’re missing targets. We’re not selling enough!

Every sales pro hits these roadblocks. They’re tough to overcome. But there’s good news: You already have the tool you need to beat them — sales analytics.

Think about your sales career. You’ve experienced setbacks and speed bumps; you’ve analyzed them to understand where you went wrong; you’ve applied those lessons to future selling. That’s sales analytics in a nutshell, and with a methodical approach, you can scale it up to help your entire sales team shine.

Sales analytics takes a close look at sales data to answer the important questions, like:

Are we the best sales team we can be? And if we aren’t, how can we get there?
How can we make the most of our sales resources and cut the cost of selling?
How are customer expectations and market standards changing, and what can we do to meet them?
How can we become the innovative disruptors within our space?

According to McKinsey research, companies that analyze and act on sales behavior can increase their sales productivity by up to 20%. But what sales metrics should you be tracking? How can you process them into insights? What do you do with that intelligence once you have it?

Don’t worry: Putting sales analytics to work is actually a breeze when you have a plan of attack. Keep reading to get the skinny on winning with sales analytics.

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Contents1.The Sales Analytics Process2.Step 1: Pinpoint the Problem and Hypothesize an Answer3.Step 2: Compile the (Right) Sales Metrics3.1Sales Metrics3.2Sales Rep Metrics3.3Customer Metrics4.Step 3: Apply Sales Analytics4.1Salesforce Tableau4.2HubSpot Sales Hub4.3Clari4.4Other Sales Analytics Software5.Step 4: Put Your Findings to Work
The Sales Analytics Process

Augmenting your sales process with in-depth analytics is a great thing to aspire to, but the path leading there isn’t the clearest. Here’s a look at a simple four-step process to help you pull off your first sales analytics initiative.

Step 1: Pinpoint the Problem and Hypothesize an Answer

You can’t solve a problem until you know what that problem is. Develop a hypothesis that you’ll be able to verify or disprove by gathering sales metrics and running them through analytics to track the trends.

Here are a few examples of great, actionable questions:

Which sales activities lead to the most closed deals?
What channels do your most valuable customers come in through?
Is it more cost-effective to attract new customers or upsell your existing ones?

Step 2: Compile the (Right) Sales Metrics

With your question at hand, start gathering your data. Here are some things to keep in mind:

Which metrics will definitely be relevant to answering your question?
Which metrics might be useful? If they could help later (such as when your “definitely relevant” metrics wind up not providing a solid answer to your initial question), it’s a good idea to set up tracking now to make sure you can access that information if you end up needing it down the road.
How often should you be monitoring data? Daily? Weekly? Monthly? Quarterly?
Do you only need to monitor data for a specific time period, or should monitoring remain an ongoing activity?

The answers to the above will vary depending on what kind of analytical outcome you’re chasing.

Lastly, how will you compile your data? Will you do it by hand in a spreadsheet, or will you use sales analytics tools to cut down on the time and effort involved?

Remember that in order to have trustworthy analytics, you need to have trustworthy data. Make sure you’re gathering a full slate of data from all possible sources so that the resulting analytical insights truly reflect the state of your sales org.

Here’s a list of some sales, sales rep, and customer metrics worth tracking.

Sales Metrics

Sales to Date, Sales Growth, and Sales Target
Know how much you’ve sold, how much you’re projected to sell, and how much you should be selling. These are three basic but crucial sales analytics metrics to keep an eye on. When that data’s right in front of you, you can compare your current performance to ensure it stacks up—and make quick adjustments if your sales numbers deviate from expectations.

Sales by Lead Source, Average Lead Response Time, and Lead Conversion Rate
Most successful deals start out as leads, so collecting and analyzing lead data is key. These metrics help you quantify where your sales leads come from and which lead generation strategies are (or aren’t) working. You can also explore how quickly you’re responding to leads (ensuring that you’re getting back to them before a competitor does) and how effective you are at ultimately turning those leads into wins.

Length of the Sales Process and of Each Pipeline Stage
Moving prospects through your sales process in a timely fashion is important for maintaining momentum. Knowing the length of each part of the sales process—and in which stages on-the-go deals are currently residing—gives you insight into where you should be allocating resources to make sure deals don’t get stuck.

Opportunity-to-Close, Quote-to-Close, and Overall Conversion Rate
By tracking how many opportunities and quotes make it to close (whether won or lost), you can determine where (and why) leads fall out and plug those holes in your sales funnel. Is it a weakness in reps’ skill sets? An issue with your overall sales approach? You won’t know until you analyze the data.

Deal Size, Revenue per Sale, and Average Sale Value
A hack to boost sales revenue is to increase the value of each sale you make. Understanding deal sizes lets you see how far you’ve come, understand how your pipeline is changing, predict how many deals you’ll need to hit quota, and create a foundation for increasing the magnitude of future sales.

Sales and Revenue by Territory and Market
Your sales opportunities and successes are bound to vary between regions. Follow the data to track which markets you excel in and which ones you don’t. Plus, it also grants better understanding of your penetration into each market, letting you pinpoint underserved markets while avoiding ones that are near saturation.

Cost of Selling
The cost of each deal takes a bite out of overall profit, so it’s a data point you’ll want to keep a firm handle on. Track this metric to better understand how much each sale is costing you—and where there are opportunities to invest funding to secure more sales.

Video View Data
If you’re selling with video (and you should be), you want to know more than just your videos’ view counts. Get insight into who’s watching your videos and how long they’re watching for to prioritize follow-up with prospects. Which of your reps are performing best with video? When you know who’s doing well, you can pinpoint how they’re doing well and cascade that edge to the rest of the team.

A Vidyard dashboard showing the video view analytics.

Vidyard’s insights dashboard, displaying analytic capabilities for video.

Sales Rep Metrics

Quota Attainment, Overall Sales per Rep
Sales numbers and quota are metrics that are as old as time, and they form an important touchstone for your overall sales strategy. All this information helps you predict both how much reps should be selling and how you can expect those numbers to increase over time as they develop more skills within their roles.

Adoption of New Tools
Using cutting-edge selling tools like video can be the silver bullet that seals the deal, so it’s important to track which reps are fastest on the draw. With this data, you can give reps who are excelling with new tools a pat on the back—and give reps who are struggling the support they need to feel comfortable using those tools.

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Customer Metrics

Churn Rate, Net Promoter Score
It’s important to know both how good you are at retaining your customers and how much those customers like you. These metrics shed more light on when and why customers move away from your business. You can harness that information to better appeal to customers and compel them to stay.

Percentage of Revenue from New/Existing Customers, Customer Lifetime Value
The deeper understanding you have of your customers’ buying habits, the better. These data points help you understand where to dedicate resources—is it more effective to bring new customers in the door, or do cross-sell and upsell activities deserve more bandwidth? You can also more effectively project just how much revenue a customer will bring to your organization, letting you make more informed long-term decisions.

Customer Reception to Selling Techniques
What techniques resonate most with your customers? Is it the rapid response to questions? The personal touch? New selling tools like video? By tracking what techniques lead to the best outcomes, you can pinpoint the ones that work and get your whole team using them to maximize your sales results.

Learn from the Pros
The team behind the Clari sales analytics software platform dives into important metrics to track. Watch this talk on deal pipeline, or check out their conversations on the importance of sales linearity and deal slippage.

Step 3: Apply Sales Analytics

Now it’s time to process that sales data into analytics. You can go the manual route with a spreadsheet, but CRM analytics tools make the process so much quicker, easier, and simpler.

Nobody likes squinting at rows of numbers, so it’s best to visualize your analytics via interactive dashboards. Seeing data presented in image form (and being able to dive in to explore nitty-gritty information beyond surface-layer visualization) can help you spot trends you wouldn’t notice otherwise. If you have any data science wizards in-house, now’s the time to tap them to make sure you’re not missing any possible insights.

Here’s a short overview of some sales analytics tools worth using.

Salesforce Tableau

Salesforce is one of the most-used CRM and analytics solutions. It’s an all-in-one data management and sales analytics tool that lets you act on data within the context of your full CRM environment. Advanced Salesforce analytics opens up a whole range of investigation, including predictive insights, while Salesforce dashboards make it easy to view results.

 A Salesforce dashboard displaying Salesforce analytics capabilities.

Salesforce’s sales performance analytics tools, courtesy of Salesforce.

HubSpot Sales Hub

Like Salesforce, HubSpot Sales Hub features powerful and easy-to-use sales performance analytics that can be paired with HubSpot’s complete CRM solution. It’s a great option for smaller businesses.

HubSpot Sales Hub’s sales data analytics tools.

HubSpot Sales Hub’s sales performance analytics tools, courtesy of G2.


Clari’s sales performance analytics offer many of the features you’d expect from a standard CRM analytics solution, as well as attractive dashboards and deeper looks into your pipeline to understand how deals are flowing.

Clari’s sales data analytics visualization tools.

Clari’s pipeline-focused sales performance analytics, courtesy of G2.

Other Sales Analytics Software

There are plenty more powerful sales performance analytics tools than mentioned here. Check out G2’s comprehensive list of top-rated sales analytics software.

Step 4: Put Your Findings to Work

Now that you have your analytical findings in hand, it’s time to compare them to your initial question.

Do your results answer the question you first posed? If so, great! It’s time to take those findings, put them in front of relevant decision-makers, and use them to help propel adjustments to your sales activities. But don’t stop tracking your data: Once you’ve made changes based on your findings, you’ll want to examine the sales analytics metrics again at a later date to make sure the changes are having the effects you anticipated.

If the analytical insights don’t answer the question you had in mind, it’s time to go back to the drawing board. Rethink your question, gather new data, and run the analytics again. Keep iterating on your hypothesis until you arrive at the answer you need.

You Did It!

And that’s it! By following these four simple steps, you can refine your sales org with analytics, making your team the leanest, meanest selling machine it can be.

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