The Shift from Intuition to Systematic Assessment
Many sales managers transition directly from individual contributor roles into leadership. As quota-carriers, assessing their own sales pipeline was straightforward. They knew every deal intimately, developed a sixth sense for which opportunities would close, and understood the timing of each forecast. This intuitive approach worked because the scope was limited to their personal book of business.
However, managing a team requires a different mindset. A manager cannot rely on gut feelings to assess the health of dozens of deals across multiple representatives. The ins and outs of every prospect are not visible to leadership in the same way. Relying on intuition at scale leads to inaccurate forecasting and missed revenue targets. Managers must develop a systematic process to test sales pipeline health across the organization as a whole. This shift from individual instinct to collective data analysis is critical for sustainable growth.
The following questions help sales managers quickly and accurately assess their team’s sales pipeline. These metrics provide clarity without requiring a psychic connection to every deal. By adopting these checks, leaders can ensure their pipeline is healthy, realistic, and positioned for success.
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Why Intuition Fails at Scale
Individual contributors have deep context for their own deals. They know the decision-makers, the pain points, and the timeline. Managers, however, see only the surface-level data in the CRM. Without a systematic framework, managers might assume a deal is healthy simply because it has been in the pipeline for a long time or because a rep is actively working it. This assumption is dangerous. A systematic approach forces reps to justify the status of their deals with evidence, not just optimism.
What Shape Is the Sales Pipeline?
The immediate image that pops into most sales reps’ and managers’ heads for the term “sales pipeline” is a funnel. This shape is wide at the top and narrow at the bottom, implying a 3x multiple relationship between leads at the top and closed deals at the bottom. Many managers require their reps to have three times the amount of deals they need to close in their pipeline at all times. This traditional funnel model suggests a steady, linear drop-off at every stage.
Unfortunately, this shape is inaccurate for a high-performing team. A healthy sales pipeline doesn’t look like a funnel at all. It looks like a wide-mouthed champagne or cocktail glass. The most significant drop-off in the pipeline should occur near the top, when the lead reaches the first significant process milestone, such as a demo or trial. After this milestone, the opportunity pool shouldn’t narrow much more. In other words, once a lead makes it past the first milestone, it should be highly likely that the opportunity closes and creates a new customer.
The Champagne Glass Model Explained
A good sales manager tolerates poor conversion rates early on during qualification. The goal is to filter out unqualified leads quickly. Once a lead passes that initial filter, the conversion rate should be fantastic. High-performing reps often maintain a 1.25x or 1.5x ratio of opportunities to deals in their pipelines. This ratio mimics the champagne glass shape, where the neck is narrow but the bowl is wide and stable. If your team’s pipeline looks more like a funnel, with significant drop-offs at later stages, it’s time to make some changes. Late-stage drop-offs indicate problems with product-market fit, sales execution, or qualification criteria.
What’s the Breakdown of Revenue vs. Units?
Since sales teams work off a revenue target, revenue is generally what sales managers focus on when assessing pipeline and forecasting. This focus is natural, but it can be misleading. By concentrating only on revenue, managers miss a crucial metric: units. “Units” refers to the number of deals in the pipeline. For instance, let’s say a rep is working three deals, forecasted at $1, $100, and $1,000, respectively. This pipeline contains $1,101 in revenue, and three units. The revenue number looks substantial, but the unit count reveals the underlying risk.
There are two reasons to care about units. First, a pipeline containing a massive amount of revenue but a low number of units is risky. What happens if the $1 million deal falls through? The rep has nothing to fall back on to make up the lost revenue, and the entire team’s pipeline crumbles. Rather than focusing all their effort on closing the biggest deal in the pipeline, sales managers should think about the replacement plan if it falls through. A healthy pipeline has a balance of large and small deals to mitigate risk.
Using the Weight vs. Height Metaphor
A useful metaphor for understanding revenue vs. units is weight vs. height. Let’s say a person weighs 180 pounds. Is that good or bad? You can’t make that determination unless you also know their height. Just like 180 pounds on a 5’0’’ frame is unhealthy, having a lot of revenue spread over just a few deals should be a red flag for sales managers. Additionally, tracking units can shed some light on sales reps’ bandwidth. A deal worth 10x more in revenue probably doesn’t require 10x the amount of effort than a typical deal. Being mindful of units can help managers formulate a benchmark number of deals that one rep has the bandwidth to work at any given time.
When Are Deals Purged from the Pipeline?
Every rep knows to remove a deal from the pipeline when the customer buys from a competitor or flat out says they aren’t interested. These are clear signals that the opportunity is dead. But what about the prospects that express interest and then go quiet? Reps often keep these deals in the pipeline for months and months, hoping that they can restart the buying conversation eventually. This practice inflates the pipeline and creates a false sense of security for the manager.
While it’s fine for salespeople to check in with these prospects occasionally and try to rekindle the flame, it’s not okay for sales managers to allow these deals to stay in the active pipeline indefinitely. To ensure you’re looking at a healthy pipeline, define a purge timeline. A standard timeline is somewhere in the neighborhood of 30 days. After a deal hits the 30-day mark with no activity, the manager should move it out of the pipeline and into a “deferred” bucket. Placing the deal into the “deferred” category allows the rep to continue working it but doesn’t affect the overall accuracy of the sales pipeline.
Implementing a Purge Timeline
A purge timeline forces reps to prioritize active deals. It prevents the pipeline from becoming cluttered with zombie opportunities that have no chance of closing in the current quarter. Managers should enforce this timeline consistently. If a rep wants to keep a deal in the active pipeline, they must provide evidence of recent engagement or a concrete next step. This discipline ensures that the pipeline reflects only genuine, active opportunities.
What’s the Sales Pipeline Velocity?
Sales velocity is crucial to assessing the health of your pipeline. There’s always a defining moment that reps drive toward to pivot the deal and close. This could be the proof of concept, the presentation, the trial, or an ROI calculator. It’s as if the prospect is doing their version of a car test drive. At that pivotal moment, the ability of the sales rep to control every element of the sale diminishes. The prospect takes over the evaluation process.
To prepare for the inevitable lack of control, it’s important for reps to understand they’re going to give up some grip on the steering wheel because they’re going faster. For example, if your prospect is taking your product on a test drive, try measuring the average number of touches and days necessary to get to that point in your pipeline. Also, measure the number of days it takes to close the deal after the trial. It should be faster to close the sale after the pivot. If not, take another look at the effectiveness of the trial experience. A deal’s speed should get faster the closer you get to the close.
Measuring Velocity at Each Stage
Learn how to absorb the slowness of the deal and put fixes in place where necessary. If deals stall at a specific stage, investigate why. Is the product demo too long? Is the pricing discussion happening too late? By measuring velocity at each stage, managers can identify bottlenecks and address them directly. This data-driven approach helps reps close deals more efficiently and improves the overall health of the pipeline.
What’s Your Historical Discounting Rate?
It’s rare that reps use consistent discounting to close deals. Discounts are generally tethered to other things, such as end-of-quarter pressure or competitive threats. If you’re using discounts regularly, ask yourself whether you’re discounting more at the end of the month or quarter. Adjust your closing tactics accordingly. Are there certain months you’re discounting more than others? Maybe you didn’t prospect enough in earlier months. And if there are certain line items you discount frequently, like training implementation, you might just be running afoul with your company’s efforts and losing rapport with your colleagues.
The use of discounting identifies gaps in your pipeline. Be honest with yourself about why you’re offering discounts. Is it a strategic move to win a large account, or is it a crutch for poor qualification? Understanding the root cause of discounting can help managers improve their sales process. If discounting is high, it may indicate that the value proposition is not clear or that the pricing is not aligned with the market.
Analyzing Discounting Trends
Track discounting trends over time. Look for patterns in when and why discounts are given. If discounts are consistently given at the end of the quarter, it may indicate that reps are not managing their pipeline effectively. If discounts are given on specific line items, it may indicate that those items are not perceived as valuable. By analyzing these trends, managers can make informed decisions about pricing, packaging, and sales training. This analysis helps ensure that discounts are used strategically, not reactively.
Pipeline management is one of sales managers’ most critical tasks. By asking these five questions, you can ensure a healthy pipeline that lays the groundwork for blowing revenue goals out of the water on a consistent basis. The key is to move beyond intuition and rely on data-driven insights. This approach builds a more predictable and sustainable sales engine.
