In a competitive market, knowing what to measure in your sales funnel, and how to measure it, is critical:
Software companies live and die by their numbers. Not just revenue, but the specific metrics that tell you why revenue looks the way it does — and what to do about it. Basic GAAP reporting won't get you there. You need a deeper look at your sales funnels, growth components and customer behavior to understand where your business is healthy and where it isn't.
Here's how to calculate and interpret the metrics that matter.
Software companies typically see the customer journey as a funnel: awareness at the top, closed deals at the bottom. How prospects progress through that funnel tells you a lot about what's working in your sales and marketing operation.
There are two types of funnels worth tracking separately: inbound and outbound.
Inbound sales funnels start when a prospective customer reaches out to you. A typical inbound funnel looks like this:
Marketing Spend → Demand Generated → Demos Requested → New Customer Bookings
At each stage, you calculate a conversion rate — the percentage of prospects who move from one step to the next. For example:
Conversion Rate (Click-to-Demo) = Prospects Requesting Demos ÷ Ad Clicks
Ultimately, the customers who sign up generate new customer bookings, and their combined annual recurring revenue (ARR) represents the inbound portion of your total new ARR.
Outbound sales funnels flip the starting point. Instead of prospects finding you, your sales reps find them. The structure looks similar:
Sales Rep → Demand Generated → Demos Conducted → New Customer Bookings
The key difference is that sales involvement spans the entire funnel, from generating demand to closing the deal.
For both inbound and outbound funnels, track these three metrics at each stage:
Low conversion between stages tells you there's a bottleneck. These rates may indicate unnecessary friction in your sign-up process, a trust issue preventing prospects from sharing their information or a gap in sales training. Slow conversion speed signals similar friction and matters especially for cash flow forecasting.
If a particular lead source isn't generating enough traffic, you can improve the content behind it or shift your budget toward higher-performing sources.
For outbound teams, productivity per rep (PPR) is a simple but powerful planning tool:
PPR = Total New ARR ÷ Total Outbound Sales Reps
If you know your ARR target for next year and your average PPR, you can calculate how many reps you need to hit that number. Divide your ARR target by PPR. Remember to factor in onboarding time.
Whether you're measuring monthly recurring revenue (MRR) or annual recurring revenue (ARR), your total recurring revenue is a product of three things: new business, expansion and churn. Each one requires a different lens.
The most useful metric for new business is average revenue per account (ARPA), which tells you the starting value of a new customer:
ARPA = New ARR ÷ Number of New Customers
Pair that with your customer acquisition cost (CAC) — the fully burdened cost of acquiring a new customer — and you get your New ARR:CAC ratio. This is your near-term return on acquisition spend, and it's especially useful when lifetime value (LTV) isn't yet calculable.
For example, if your new ARR is $10,000 and you added 10 customers, your ARPA is $1,000. If you spent $2,000 acquiring those customers, your New ARR:CAC ratio is 5.
Tracking ARPA monthly shows you whether your deal sizes are moving in the right direction and whether strategy changes are actually having an impact.
You can capture these metrics by lead source, by customer segment and by product. This breakdown reveals which lead sources generate the highest-value customers, which segments behave differently and which products carry their weight.
Expansion — upsells, cross-sells and add-ons — is one of the most efficient ways to grow. You've already done the hard work of acquiring the customer. The next priority is expanding the relationship.
Three metrics to track:
Measure expansion by lead source, by customer and by product to understand which strategies, segments, and offerings generate the most growth from your existing base.
Churn is inevitable, but what matters is how much, how fast and why.
Two measures to track:
If you start a period with 20 customers worth $100,000 in ARR and end with 19 customers worth $90,000, you've experienced 5% customer churn and 10%-dollar churn.
Customer churn also lets you estimate customer lifetime:
Customer Lifetime = 1 ÷ Customer Churn Rate
A 20% annual churn rate implies an average customer lifetime of five years. That's useful context for everything from hiring plans to product investment decisions.
Like the other metrics, track churn by lead source, by customer segment and by product.
Churn by lead source tells you whether certain acquisition channels bring you long-lasting customers or ones who leave quickly. Churn by product tells you which offerings have staying power and which ones are quietly dragging down retention.
LTV and CAC are the analytical backbones of any software business. Together, they tell you whether your growth is financially sustainable.
LTV is the cumulative value a customer generates over their lifetime, factoring in new business, expansion and churn. CAC is what you spent to get them. The LTV:CAC ratio shows the expected return over a customer's lifetime.
An LTV:CAC ratio above three is the industry benchmark for software companies driving significant growth. Measure this ratio across products, customer segments and sales sources to identify where your model is strongest and where it needs attention.
The other critical efficiency metric is your CAC payback period, which is how many months of recognized revenue it takes to recoup your acquisition cost:
CAC Payback Period = CAC ÷ (ARPA × Gross Margin %)
In this formula, ARPA is expressed in MRR terms, so the result is in months. (Swap in ARR to get years.)
Here's an example: if a customer costs $500 to acquire and contributes $50 per month in revenue at a 100% gross margin, your payback period is 10 months.
The industry benchmark for CAC payback is 12 to 18 months under normal conditions. The longer your payback period, the more capital you're tying up before you see a return.
Platforms like Sage Intacct's SaaS Intelligence can automate the tracking and reporting of these metrics—including ARR, committed MRR (CMRR), churn, CAC and LTV:CAC in real time, reducing manual reporting work and giving finance teams a single, accurate view of subscription activity.
Sales funnel metrics tell you what happened. Customer sentiment and engagement metrics tell you what's about to happen. Specifically, who's likely to expand and who's likely to churn.
Surveys are the most direct way to measure sentiment. Three that matter most:
Usage tracking metrics give you real-time engagement data. By assigning engagement scores to specific product touchpoints, you can quantify how deeply customers are using your product and flag early warning signs before a customer goes quiet.
Customer support volume is another signal worth monitoring. Track the number, type and frequency of support requests to identify where your product creates friction—and to keep tabs on support quality, which has a direct effect on retention.
Metrics only matter when you can interpret what they reveal about revenue quality, retention and growth. See how our technology industry experts can help you make sense of your metrics and grow with intention.
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