You're Using Half Your Martech. A Smaller Stack Isn't the Fix

Zac Keeney ·Partner, Eller Media ·

You’re Using Half Your Martech. A Smaller Stack Isn’t the Fix

Most marketing teams could lose half their software tomorrow and barely notice. The logins exist, the renewals auto-charge, and the dashboards sit unopened. Somewhere along the way the stack stopped being a system and became a collection, and now a meaningful share of the budget buys capability that nobody puts to work.

The obvious response is to start cutting. Audit the tools, kill the overlap, get the number down. That instinct is half right. Trimming a bloated stack does remove cost, but it does not answer the question that made the stack bloated in the first place. The problem was never only how many tools you own. It was that they run with no system underneath them.

Key takeaways

  • Active martech utilization sits near 51.5 percent, and about 32 percent of teams do not use the full capabilities of the stack they pay for.
  • Up to two-thirds of martech spend can be wasted on unused features in bloated stacks.
  • Teams with five or fewer core tools generate roughly 23 percent more marketing-attributed pipeline per headcount than those running 25 or more.
  • Lean stacks hold around 92 percent attribution accuracy versus 67 percent in sprawling ones, because clean data does not break between systems.
  • Consolidation alone does not create clarity. One source of truth the tools execute from does.

Are you actually using the martech you pay for?

Probably about half of it. Industry data puts active utilization at 51.5 percent of purchased martech, with roughly 32 percent of teams admitting they do not use the full capabilities of their current stack and 54.9 percent reporting a gap between the payoff they expected and what they got. The capability is bought. It is just not put to work.

This is not a discipline problem or a lazy team. It is what happens when tools get added one decision at a time, each solving a local problem, with no one accountable for how they fit together. A point solution arrives to fix attribution, another for nurture, another for enrichment, and each works in isolation. The result is a stack that looks capable on paper and underdelivers in practice, because capability that nobody operationalizes is just recurring cost. Up to two-thirds of martech spend can be wasted on unused features in bloated stacks, and most teams cannot say which third is actually earning its keep.

If half the stack is wasted, why isn’t cutting tools the fix?

Because cutting tools treats the symptom, not the cause. Consolidation removes cost and overlap, which genuinely helps, but it does not create direction. A smaller stack with no shared source of truth underneath is just a cheaper version of the same disconnected mess. The underlying problem is the absence of a system, not the count of logins.

Think about why the waste happened. Tools were added to patch gaps, not to serve one strategy, so they never connected. If you simply delete the least-used ones, you are left with the survivors still running in isolation, still defining the customer differently, still failing to hand data cleanly to each other. You have a leaner pile that behaves exactly like the bigger pile did. This is the Clarity Over Chaos trap: leaders assume the chaos comes from volume, when it comes from fragmentation. Fewer fragments is still fragmentation. The same dynamic plays out when teams bolt AI agents onto a fragmented stack and find the agents just automate the disconnection faster.

What makes a leaner stack outperform a bigger one?

Clean, connected data. Teams running five or fewer core tools generate roughly 23 percent more marketing-attributed pipeline per headcount than teams managing 25 or more, and they hold around 92 percent attribution accuracy against 67 percent in sprawling stacks. Fewer handoffs between systems means fewer places for the data to break.

The advantage is not that small stacks are inherently better software. It is that every additional integration is another seam where records get duplicated, definitions drift, and attribution quietly degrades. A lean stack built around one source of truth keeps the customer record consistent from first touch to closed deal, so the team acts on numbers it can trust. The bigger stack spends a growing share of its budget just reconciling itself. That is why the leaner team moves faster and reports cleaner: it is not fighting its own tooling to know what is true.

Why does adding another tool make the chaos worse?

Because every new tool adds a connection point without adding a strategy. The tenth platform does not unify the nine that came before it. It multiplies the integration surface and gives the team one more place to define the customer slightly differently. Activity goes up, clarity goes down, and the stack gets harder to reason about.

This is the reflex worth breaking. When something is not working, the market trains you to buy the tool that promises to fix it. But a tool inherits whatever direction it is given, and if the direction is missing, the tool just executes the confusion at scale. Adding software to a stack with no governing strategy is the same mistake as adding vendors to hit a flat budget’s targets: more inputs, no compounding. The question is never which tool to add. It is what single source of truth the tools should all be executing against.

How do you build a stack that compounds?

Start with the system, then choose the tools. Define the single source of truth first: where your ideal customer, your message, and your metrics live, in one place every tool reads from. Then keep only the tools that execute against it, and wire them so data flows without manual reconciliation. Consolidation guided by one strategy compounds. Consolidation by spreadsheet just trims cost.

In practice the order matters more than the cuts. First, write down the one definition of your customer and the metrics that count, so there is a reference every tool serves. Second, map each tool to a job that definition requires, and retire anything that does not map. Third, connect the survivors so the customer record stays intact end to end. Done this way, the stack stops being a collection of capabilities you hope to use and becomes a system that gets more valuable the longer it runs, because every tool is finally pulling in the same direction.

Frequently Asked Questions

How much of the average martech stack actually gets used?

Roughly half. Industry data puts active utilization around 51.5 percent of purchased tools, with about 32 percent of teams saying they do not use the full capabilities of the stack they own. Most companies are paying for far more capability than they ever put to work.

Will cutting tools fix an underperforming martech stack?

Not on its own. Consolidation removes cost and overlap, which helps, but it does not create direction. A smaller stack with no shared source of truth underneath it is just a cheaper version of the same problem. The fix is one system the remaining tools execute from.

Why do leaner stacks tend to outperform bigger ones?

Because data stays clean and connected. Teams running five or fewer core tools generate roughly 23 percent more marketing-attributed pipeline per headcount than those running 25 or more, with far higher attribution accuracy. Fewer tools means fewer breaks between systems, so the data the team acts on is trustworthy.

What is the first step to fixing a bloated martech stack?

Define the single source of truth before touching the tool list. Decide where your customer, message, and metrics live, then keep only the tools that execute against it. Consolidation guided by one strategy compounds. Consolidation done by spreadsheet headcount just trims cost without fixing direction.

Frequently asked questions

How much of the average martech stack actually gets used?
Roughly half. Industry data puts active utilization around 51.5 percent of purchased tools, with about 32 percent of teams saying they do not use the full capabilities of the stack they own. Most companies are paying for far more capability than they ever put to work.
Will cutting tools fix an underperforming martech stack?
Not on its own. Consolidation removes cost and overlap, which helps, but it does not create direction. A smaller stack with no shared source of truth underneath it is just a cheaper version of the same problem. The fix is one system the remaining tools execute from.
Why do leaner stacks tend to outperform bigger ones?
Because data stays clean and connected. Teams running five or fewer core tools generate roughly 23 percent more marketing-attributed pipeline per headcount than those running 25 or more, with far higher attribution accuracy. Fewer tools means fewer breaks between systems, so the data the team acts on is trustworthy.
What is the first step to fixing a bloated martech stack?
Define the single source of truth before touching the tool list. Decide where your customer, message, and metrics live, then keep only the tools that execute against it. Consolidation guided by one strategy compounds. Consolidation done by spreadsheet headcount just trims cost without fixing direction.