Auditing your marketing funnel before adding another tool is the step most teams skip, because buying software feels like progress and auditing a funnel feels like admitting something is already broken. The data on how much of the software already purchased goes unused argues for reversing that order.
- Stage conversion rate: the percentage of prospects that move from one funnel stage to the next, the base unit any audit works from.
- Drop-off point: the specific stage where conversion rate falls furthest below the stages around it.
- Tool overlap: two or more tools in the stack claiming to solve the same stage’s problem.
- Organizations leave an average of 36% of SaaS licenses unused, per Zylo’s 2026 SaaS Management Index, based on more than 40 million licenses and $75 billion in spend under management.
- 85% of marketers are confident measuring ROI, but only 32% actually measure it holistically across channels, per Nielsen’s Marketing ROI Blueprint 2025 — a gap that makes it hard to know which funnel stage actually needs a new tool.
- 68.2% of marketers say they understand how to use AI in marketing, up from 47% in 2025, per HubSpot’s 2026 State of Marketing report — understanding is rising faster than measurement discipline is.
- The practical implication: audit which stage is actually underperforming before buying a tool aimed at a different stage entirely.
1. Unused software is a symptom, not the disease
Zylo’s 2026 SaaS Management Index, published January 29, 2026 and based on an analysis of more than 40 million SaaS licenses and $75 billion in spend under management, found organizations leave an average of 36% of their SaaS licenses unused against industry-recommended utilization levels. That figure, drawn from real usage data rather than self-reported survey answers, is hard to explain as anything other than tools purchased faster than they were adopted.
The implication for a founder about to buy another tool: an unused license sitting in last year’s stack is direct evidence that the buying decision, not the funnel stage it targeted, was the point of failure. Auditing the existing stack for overlap and non-use is a cheaper first move than adding another subscription — the same systems-before-speed argument covered in Building a Simple AI-Assisted Content Calendar, where faster output didn’t translate to better results without a structure around it.
2. You can’t audit a funnel you don’t measure holistically
Nielsen’s Marketing ROI Blueprint 2025, published in October 2025, found 85% of marketers express confidence in their ability to measure ROI, but only 32% actually measure it holistically across traditional and digital channels. A funnel audit depends entirely on which side of that gap a team sits on: an audit run on siloed, per-channel numbers will misidentify which stage is actually the problem.
HubSpot’s 2026 State of Marketing report, surveying more than 1,500 global marketers, found 68.2% now say they understand how to use AI in marketing, up sharply from 47% in the 2025 edition. Understanding a tool and having a measurement system that tells you whether it’s helping the funnel are two different capabilities, and the data suggests the first is improving faster than the second.
| Capability | 2025 | 2026 (or current) |
|---|---|---|
| Marketers confident measuring ROI (Nielsen) | 85% confident, only 32% measure holistically | |
| Marketers who understand AI in marketing (HubSpot) | 47% | 68.2% |
| SaaS licenses left unused (Zylo) | 36% average | |
3. What a funnel audit actually checks
A funnel audit that would have caught the gap above checks three things, in this order:
- Stage conversion rate: the actual percentage of prospects moving from each funnel stage to the next, measured directly rather than assumed.
- Drop-off point: whichever stage’s conversion rate is furthest below the stages immediately before and after it — the stage a new tool should be justified against, not just any stage that feels underserved.
- Tool overlap: whether an existing tool already claims to address the drop-off stage, which is where the 36% unused-license figure usually originates.
4. A practical audit order
Before evaluating a new tool, work through this sequence:
- Pull actual conversion rates for every funnel stage, not estimates.
- Identify the single stage with the largest relative drop-off.
- List every tool already in the stack that touches that stage.
- Only evaluate a new tool if no existing one addresses that specific stage, or if the existing one is confirmed unused.
This is the same measurement discipline behind Performance Marketing Metrics That Matter More Than Click-Through Rate: define what’s actually being measured before deciding a tool, or a metric, needs fixing. Founders who want a second set of eyes on this sequence are welcome to start with our Performance Marketing service, which begins with exactly this kind of stage-by-stage audit before any new tool is recommended.
What the evidence doesn’t yet support
Two claims worth resisting. First, that unused licenses always mean a tool was unnecessary: Zylo’s own data measures utilization against a general industry benchmark, and a tool bought for a seasonal or project-specific need can look “unused” in an annual snapshot without having been a bad purchase. Second, that closing the measurement gap Nielsen identifies automatically fixes funnel performance: holistic measurement reveals where the drop-off is, but doesn’t by itself fix the drop-off — it’s a precondition for a correct audit, not a substitute for one.
Frequently Asked Questions
How do I know if an existing tool is actually unused?
Check login activity and feature usage against the specific funnel stage it was bought for, not just whether someone occasionally opens it. Zylo’s 2026 index measures utilization the same way — against actual usage data, not self-reported impressions.
What’s the first thing to check before buying a new marketing tool?
Actual, measured conversion rates at every funnel stage. Without that, it’s not possible to confirm the new tool targets the stage that’s actually underperforming rather than the stage that simply feels most visible.
Does better AI understanding mean a team’s funnel measurement is also improving?
Not necessarily. HubSpot’s data shows understanding of how to use AI in marketing rising quickly (47% to 68.2% year over year), but that’s a separate capability from holistic ROI measurement, which Nielsen’s research shows lags well behind confidence.