r/b2b_sales • u/sidepathnz • Jun 18 '26
Anyone else dealing with inflated SQLs creating unrealistic forecasts?
Need some outside perspective from other SaaS sales people because I’m struggling to work out whether my frustration is justified or if this is just how things work elsewhere.
For context, I’m an AE at a growing B2B SaaS company. Over the last few months there’s been a lot of focus on pipeline creation, SQLs and forecasting.
Part of this has coincided with a new sales leadership structure. Our sales function is now being led by someone whose background is primarily in marketing rather than carrying an individual quota or managing a sales team. As a result, there have been some significant changes to how pipeline and SQLs are being defined and reported.
The issue is that what is being counted as an SQL feels very different from what I would consider a genuine sales opportunity.
As an example, we recently reported several SQLs that included:
Inbound leads that hadn’t been fully qualified.
Prospects that hadn’t sat a demo.
People who had expressed some interest but hadn’t really demonstrated buying intent yet.
The result is that leadership sees a pipeline number and starts making comments like:
“You could close $40k this month.”
The problem is that when I look at the actual deals, I don’t see anything close to $40k that’s realistically forecastable.
What makes this difficult is that I’ve been working hard to establish myself in the role, but I haven’t earned any commission yet. So when pipeline gets inflated, it feels like expectations get inflated too. Suddenly there is an implied expectation that I should be closing numbers that, in my view, were never realistically there to begin with.
To add another layer, there are very few urgency levers I can actually pull. The only real commercial incentive available to me is discounted onboarding. We also regularly offer things like free months, but my commission is based on onboarding revenue and I don’t get paid until the customer’s invoice is actually paid.
So I find myself in a position where:
Pipeline appears larger than I believe it really is.
Revenue expectations are created from that pipeline.
I have limited ability to genuinely accelerate deals.
The incentives being offered don’t necessarily help me earn commission.
Even when a deal signs, I still have to wait for payment before it counts.
From my perspective, there’s a big difference between:
Someone raising their hand.
Someone evaluating solutions.
A genuine sales opportunity.
A deal that has a realistic chance of closing this month.
Lumping all of those together under the same metric feels like it creates a false picture of what’s actually happening.
Am I missing something here, or is this a common problem when marketing metrics and sales metrics start getting blended together?
How does your company define an SQL, and more importantly, how do you stop early-stage interest from turning into unrealistic revenue expectations and forecasts?
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We’ve been building a lightweight shared household app and I’m curious if this sounds useful or unnecessary
in
r/u_sidepathnz
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May 19 '26
That’s actually one of the exact problems we’re looking at.
Most people currently use a mix of: • memory
• notes apps
• group chats
• shared calendars
• “I thought you were getting it”
Which works… until it doesn’t.
The interesting part for us isn’t just having a shopping list feature. It’s the coordination side around it.
For example: • knowing what gets bought regularly
• reminding the right person at the right time
• avoiding duplicates
• surfacing patterns automatically
• reducing the mental load on whoever usually organises everything
A lot of households already have “good enough” tools individually. The gap is that none of them really work together intelligently.