Often skepticism is deserved when it comes to pipeline quality and the accuracy of the revenue forecast for this month.
That’s because deals that we assume will close this month, sometimes slip to the next month.
That’s painful if it’s unexpected.
Of course, in an ideal world, we can confidently rely upon every opportunity that is due to close this month.
In that world, close dates are always accurate. Customers sign agreements when we expect. Moreover, this months’ revenue forecast is invariably spot-on.
Unfortunately, life is not that simple.
It’s inevitable that sometimes deals slip. Often through no fault of the salesperson. It’s just the way life is.
However, that means we need pipeline quality metrics to help us decide which opportunities to question. These metrics highlight which deals we can be confident will close this month and which we should examine more deeply.
In other words, these funnel metrics tell us the pipeline opportunities about which we need to be skeptical.
They highlight when you should ask questions about deals due to close this month.
Impressive Pipeline and Sales Performance Visibility
Download the FREE GSP Dashboard from the AppExchange today
Pipeline quality metrics
The challenge is to use pipeline quality metrics to identify deals that have a high risk of slipping.
These are the deals that you need to question.
Sales managers should ask about these deals when reviewing the dashboard. However, salespeople should also use these pipeline quality metrics to scrutinize and self-manage their pipeline.
These are the three key pipeline quality metrics:
- Number of Close Date Month Extensions.
- Number of Days since the last Stage Change.
- Number of Days the Opportunity has been Open.
No single pipeline quality metric dominates the others. Use the metrics in conjunction with each other.
Working together, these are the three pipeline quality metrics that highlight deals that have a high probability of slipping.
Bottom line: use these pipeline quality metrics to get a more robust sales forecast.
Robust Sales Forecast
The pipeline quality metrics allow you to accurately assess whether you have enough reliable deals to meet your sales quota. That’s because they help you identify the dormant deals that are over-inflating your sales funnel.
Think about it for a moment:
Let’s say your average sales cycle is three months.
You have a deal due to close this month. It’s making an essential contribution to your revenue forecast.
Now, suppose the Close Date has already slipped from one month to another four times. It’s in the final Negotiation Stage, but it’s been there for over two months. The Opportunity has been open a total of 180 days.
You’re probably right to question the close date of this month. It’s potentially a deal that should not be in your sales forecast for this month.
Displaying the pipeline quality metrics in dashboards
Here’s an example of these pipeline quality metrics on a single salesforce dashboard table.
In our example, the table shows deals that are due to close this month. However, the period can be anything you choose.
The key message is that these pipeline quality metrics are an excellent way to gauge the reliability of your revenue forecast for the period.
Watch this video to see me demonstrate the pipeline quality metrics in a salesforce dashboard.
Pipeline quality metric #1 – Number of Close Date Month Extensions
There’s a statistically robust way to forecast tomorrow’s weather.
Whatever is happening today, predict that’s what the weather will be like tomorrow. You’ll be right more often then you are wrong.
It’s the same with opportunities. If a deal slipped last month, there’s an increased chance it will move again this month.
The Number of Close Date Month Extensions gives us this data. This pipeline quality metric counts the number of times the Close Date has slipped from one month to another.
Close Date changes within a month don’t matter. Nor do changes that make the Close Date earlier. This metric tracks how often the opportunity Close Date has moved from one month to another month.
Pipeline quality metric #2 – Days Since Last Stage Change
This pipeline quality metric counts the number of days since the Opportunity Stage was last updated.
Life is not linear. Opportunity Stages don’t change at regular, pre-determined intervals. However, a lengthy period without a change – in the context of your average sales cycle – is a sign of a dormant deal.
Let’s say the Opportunity Stage hasn’t changed for a significant period. The deal has slipped from one month to another month several times. Then you are probably right to question the close date of this month.
Pipeline quality metric #3 – Number of Days Open
This pipeline quality metric counts the number of days that the opportunity has been open. When the deal reaches Closed (Won or Lost), the clock stops ticking.
This pipeline quality metric is valuable in its own right. Nevertheless, the primary purpose is to put context into the other quality metrics.
Deals that have had a significantly longer than average sales cycle have a lower chance of closing successfully this month. Particularly if the opportunity has already slipped from one month to the next several times. Of course, that’s especially true if it’s quite a while since the deal was last updated.
12 Must-Have Charts For Your Salesforce Dashboard
Download the FREE eBook from our website today
Pipeline quality metrics underlying report
Here’s the underlying report that shows the three pipeline quality metrics for all opportunities due to close this month. Click on the image of the report to enlarge it.
We added conditional highlighting to the report to help focus the eye on the deals we might want to question.
In our case, for example, three or more Close Date Month Extensions are shown in red and two in amber. One or zero values for this pipeline quality metric are not highlighted.
If you download our free GSP Sales Dashboard from the AppExchange, then you can set the conditional highlight to whatever values you choose. Set threshold values that are right for your business.
The report shows the pipeline quality metrics for all the deals due to close this month, grouped by Opportunity Stage.
It also separates the opportunities into those relating to new customers – and those for existing customers.
This separation is because – as a rule of thumb – deals with new customers will take longer and can be subject to more uncertainty than deals with existing customers.
To emphasize, it’s not about one single pipeline quality metric. It’s about understanding the context. However, the report and dashboard chart draw the eye to the deals about which you might need to question.
To demonstrate, let’s take some examples from our report. Remember, each of these opportunities is due to close this month in the sales forecast.
This Opportunity is in the Prospecting Stage, which immediately makes me nervous about whether it will close this month. (We’re assuming here, of course, that the opportunity is in the correct Stage and that there isn’t a case of sandbagging going on).
The Number of Days Open and Number of Days since Last Stage Change are the same because the opportunity has not progressed from the date it was first opened.
The opportunity hasn’t slipped from one month to the next. However, given that this is a new customer and the opportunity Stage hasn’t advanced, I’m doubtful the deal will close this month.
One that has a good chance of slipping, I’d say.
The deal has slipped once already. It’s been open for over two months. We’re still only in the Investigation Stage and it’s due to close this month.
The opportunity is for a new customer. Again, another one to question. At least as far as a successful close this month is concerned.
The opportunity has been in Customer Evaluating for over two months. The Close Date has twice moved from one month to another. Presumably, at some point, the salesperson thought it will close long before now.
This deal is for an existing customer. On the face of it, that gives us more confidence the deal will close successfully.
What do we know about Brown Estates? Are they a high-quality customer that has purchased from us many times before? How long do they usually take to make a decision? Do we have a relationship with the customer that allows us to have a straight dialogue about whether the deal will close successfully this month?
The answers to these questions may give us assurance the deal is likely to close this month. Again, it’s a matter of context. However, overall, the pipeline quality metrics may make me doubtful about including this deal in my revenue forecast.
Take a look at the pipeline quality metrics on this one.
The deal has been open for four months and the opportunity has moved from one month to another four times. It’s for a new customer and has sat in the Negotiation stage for over two months.
I’m certainly questioning this one!
High Hill Estates
Does this deal look better? Quite possibly.
The deal is 48 days old. The Days Open pipeline quality metric alone might make me doubtful about the close date of this month if our average sales cycle is 90 days. On the other hand, it’s for an existing customer, so a shorter sales cycle is a reasonable possibility.
The opportunity hasn’t slipped from one month to another. It was updated to Negotiation 4 days ago. If I look at the opportunity itself, are there planned actions that will expedite the negotiation? As the sales manager, do I know our trading history with High Hill Estates? Based on previous experience and my knowledge of the context of the deal, am I confident in the close date?
Install the pipeline quality metrics
You don’t have to create these pipeline quality metrics yourself. There’s a much easier way:
Install the GSP Sales Dashboard from the AppExchange.
The dashboard also contains 15 other components that allow managers to track the size, trend and quality of your sales pipeline. Together they give tremendous visibility of the funnel and sales performance.
Download The 12 Must-Have Dashboard Charts
This fully-illustrated 27 page ebook shows you the 12 Killer Sales Charts for your Dashboard and explains How to Read Them and When to Use Them.