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Data Analytics

How to Measure Your Sales Conversion Rate

ML team member calculating sales conversion rate

I get asked this question all the time: “How much business should we be closing from our lead generation activities?” To answer this question, we first need to understand the importance of calculating conversion rates at every stage and what metrics to watch for when measuring performance.

What is a Conversion Rate in Sales?

A sales conversion rate is a way to track sales performance. It can identify the effectiveness of campaigns, tools, messaging strategies, channels, and more. This metric can be a key performance indicator (KPI) that many sales and marketing teams will use to identify the health of their strategy.

How to Calculate a Sales Conversion Rate

The sales conversion rate is used to measure the effectiveness of a sales strategy. It is calculated as the total number of sales divided by the total number of qualified leads multiplied by 100.

Sales Conversion Rate

(Total Number of Sales / Total Qualified Leads) x 100 = Sales Conversion Rate

What Marketing Metrics Should You Track?

There are too many variables to offer a one-size-fits-all answer. But if you measure the right metrics, you will be able to hone in on the areas where you can make the greatest impact and maximize your results.

Many companies tend to measure the quantity of Marketing Qualified Leads (MQLs), and Sales Qualified Leads (SQLs). But to understand what is working and what isn't, it's important to look at the conversion ratios at each stage in the process.

I find that many companies measure those components separately from one another. The analysis often resembles this structure:

  1. Marketing looks at the creation of inbound leads and conversions from outbound leads into an MQL.
  2. Inside sales look at the conversion rate of MQLs to SQLs.
  3. Sales leadership looks at the conversion of SQL to Opportunity and from Opportunity to Close.

KPI's and Metrics Sales & Marketing Teams Track

MQL to SQL Conversion Rate

(Total MQLs that reached SQL status / Total MQLs) x 100 = MQL to SQL Conversion Rate

SQL to Opportunity Conversion Rate

(Total opportunities / Total sales qualified leads) x 100 = SQL to Opportunity Conversion Rate

Opportunity to Close Won Conversion Rate

(Total closed won / Total opportunities) x 100 = Close Won Conversion Rate

How Many Leads Turn Into Sales?

A client with very high-name recognition in their field asked us to compare their sales results to other clients we were working with within similar markets. We looked at an aggregate of data across several campaigns to provide them with accurate analytics.

Ultimately, we found that their name recognition led to a higher volume of lead activity and higher conversions from lead to booked appointment with a sales executive. Overall, their lead-to-sale conversion rate was nearly double the average rate of our other campaigns. However, their conversion from SQL to sales opportunity (actual dollars in the sales pipeline) was significantly lower than the average we saw across our other clients. 

Once the leads got to Opportunity stage, the client with high-name recognition had a similar closing ratio as our other clients.

Do More Sales Leads Translate to More Revenue?

In this example, ultimately, the answer was yes. But not as dramatically as we may have initially suspected -- we wouldn't have discovered that without measuring the conversion metrics from beginning to end.

Lead to Closed Won Analysis

As the chart below indicates, the client with high-name recognition ultimately had a lower conversion from SQL to Closed/Won – which might point to areas in the early stages of their sales process that they could refine. Unfortunately, many businesses overlook that critical section of the funnel – the conversion from SQL to Opportunity – because they look at lead production and opportunity closing ratios in a vacuum.

Campaign-Metrics-Results-Comparing-Cross-Section-of-ML-Clients

Sure, our client’s Lead to Closed/Won conversion rate was higher than the aggregate, but that doesn’t hide the fact that time and resources have been spent on introductory meetings that are not progressing.

Let’s try reducing the number of initial leads so that we can focus on identifying those who are more likely to become a high-level sales opportunity.

Additionally, it may be beneficial to regroup with the sales team and develop new strategies for assessing the prospect’s pain points once they’re in that SQL stage.

If lead-to-SQL and the closing ratio stayed the same, but we could raise the conversion of SQL-to-Opportunity to that of the aggregate, then our client could see 20% more in new business revenue.

Lessons Learned in Lead to Sales Conversion

When you are setting your sales goals, you will be working backward to establish how much activity is needed to keep the pipeline at a profitable level. Throughout the year, remember to measure KPIs at every stage; this will help you identify where you need to tweak the process to ensure you get to your desired sales revenue.

Generating inbound leads is not enough to close a deal. You need a proactive outbound strategy to turn those leads into opportunities. The investment you make to refine your inbound strategy will pay for itself.

If your goals include improving your conversion rates, consider partnering with our prospecting experts. Get in touch with our team.

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