Every week, there’s a new AI-powered marketing tool promising to revolutionize your workflow. It’s tempting to try them all. But here’s what’s actually happening: marketing stacks are more cluttered than ever, teams are overwhelmed, and most tools are sitting unused while the bills keep coming.

The real problem isn’t that you don’t have enough tools. It’s that you have too many, and most of them aren’t pulling their weight.

Marketing technology debt isn’t just about unused subscriptions. It’s the accumulated cost of complexity, integration failures, and team frustration that builds up over time.

Think about it: Every new tool you add creates more connections to manage, more logins to remember, more data living in different places, and more decisions about which platform to use for what. Each addition makes the whole system more fragile.

AI tools are accelerating this problem. They’re easy to add and promise immediate efficiency gains. But they’re harder to integrate with your existing systems, and most teams are adding them faster than they can actually adopt them.

The result? Your stack gets heavier, your team gets slower, and you’re paying for capability you’re not using.

Do you have marketing technology debt?

Use this checklist to assess your situation honestly. If you check three or more boxes, it’s time for a deep audit.

Usage and adoption red flags

• Your team actively avoids using tools you’re paying for — they’ve found workarounds or just ignore certain platforms.
• New team members take 2+ weeks to learn your tools (and that’s just the tools, not the actual marketing strategy).
• You can’t remember the last time someone logged into at least 3 of your paid platforms.
• Your team asks “Which tool should I use for this?” multiple times a week because you have overlapping functionality.
• You spend more time training people on how to use platforms than on marketing strategy.

Integration and data red flags

• Your data lives in 5+ different places, and they don’t agree with each other. You get different numbers depending on which dashboard you check.
• Pulling a report requires exporting from multiple tools and manually combining the data.
• You’ve said, “We need to integrate X with Y” for more than six months, and it still hasn’t happened.
• You’re manually entering the same information into multiple systems as part of your everyday workflow.
• APIs break regularly, and no one notices for days.

Dig deeper: What, exactly, is a ‘full-stack marketer?’

Cost and value red flags

• You’re not sure what you’re actually paying for — subscriptions are scattered across credit cards and departments.
• You justified a tool purchase by saying “we’ll grow into it” more than 12 months ago, and you’re still not using most features.
• You’re paying for user seats that aren’t being used (team members who left or never got onboarded)
• When asked what ROI a specific tool provides, you can’t connect it to actual business outcomes.
• You’ve kept a tool solely because “we already paid for the annual subscription.”

Strategic and organizational red flags

• Different team members use different tools for the same function with no standardization.
• You’ve purchased tools reactively to solve immediate problems with no overall strategy.
• Leadership can’t easily see marketing performance – they need you to create a custom deck to translate what’s happening.
• You have shadow IT tools that team members bought themselves or use free accounts for.
• Someone leaving the company creates a crisis around who has access to what.

Feature and functionality red flags

• You’re using less than 30% of the features you’re paying for.
• Your enterprise platform is overkill for your actual needs.
• You have 3+ tools that do essentially the same thing.
• Custom development or workarounds are required to make your tools do basic tasks.
• You’ve purchased add-ons or integrations just to make tools talk to each other.

Dig deeper: The data quality paradigm shift has arrived

Scoring

0-2: You’re in good shape. Your stack is relatively lean and functional.

3-5: You have some debt accumulating. Time for a focused audit on problem areas.

6-10: Moderate debt. You’re likely wasting budget and team productivity. Schedule a comprehensive stack review.

11-15: Significant debt. This is actively hurting your marketing effectiveness and team morale. Major consolidation needed.

16+: Critical debt. Your stack is doing more harm than good. Consider starting fresh with a clean-sheet strategy.

(For more about martech debt, see this overview.)

AI is making this problem worse, faster. New AI-powered tools launch every week, each promising to make your marketing more efficient. The temptation to add them is strong.

But here’s the paradox: tools that should save time are taking more time to manage. The promise of automation is creating more complexity. And budget pressure makes this waste more painful than ever.

If you don’t address your MarTech debt now, it will only get heavier.

How to streamline your stack 

Here’s how to clean up your marketing technology debt and build something more sustainable.

Step 1: Take inventory

List every tool you’re currently using. Include the monthly or annual cost and the primary users. Be honest about last login dates. Don’t forget the “shadow IT,” the tools team members are using that aren’t officially approved or tracked.

This step alone will surprise you. Most marketing leaders don’t have a complete picture of what they’re actually paying for.

Step 2: Evaluate each tool

For each platform, answer three questions:

• What specific problem does this solve? Not what it could do or what you bought it to do. What problem is it actually solving right now?
• Who uses it regularly and how often? If the answer is “nobody” or “I’m not sure,” you have your answer.
• What would actually break if we cancelled it tomorrow? This is the honesty test. If nothing would break, you don’t need it.

Step 3: Identify quick wins

Look for tools you can cancel this month with zero impact. These are your quick wins – immediate budget savings and reduced complexity.

Also, look for duplicate functionality. Do you have three tools that all send emails? Two analytics platforms that show similar data? Multiple social media schedulers? Pick the one your team actually uses and cut the rest.

Dig deeper: Your AI is not helping if it makes me do the work

Step 4: Address integration failures

Where are you manually moving data between systems? Which tools aren’t talking to each other? What’s the real cost of these disconnections in terms of time and accuracy?

Sometimes the right move is to eliminate one side of a failed integration rather than trying to fix it. If two tools won’t work together and you’re spending hours manually bridging them, cut one.

Step 5: Consolidate strategically

Look for platforms that can replace two or three tools you’re currently using. Prioritize tools your team actually likes working with – adoption matters more than feature lists.

When you’re evaluating replacements, ease of use beats feature count. A tool with 80% of the features that your team will actually use is better than a tool with 100% of the features that sits unused.

Step 6: Create a sustainable buying process

The goal isn’t just to clean up your current stack. It’s to stop creating new debt.

Before you buy any new tool:

• Document the specific problem you’re trying to solve
• Check if an existing tool can solve it
• Pilot with a small team before rolling out company-wide
• Set a 90-day check-in to evaluate if it’s actually working

Build in regular stack audits – quarterly or at a minimum twice a year. Assign someone to track tool usage and ROI.

What to do with AI tools

AI tools deserve special attention because they’re the newest source of stack bloat and can pile up quickly.

Before adding a new AI-powered tool, ask yourself the following:

• Can this replace something I’m already doing, or does it add to the stack? If it’s adding, assess the gaps it can fill and whether other tools in your arsenal could handle this work.
• Can I test this with a free version first? Take advantage of the complimentary trials offered by most AI tools. Don’t commit to an annual contract until you know it works for your team.
• Do my existing tools already have AI features? Many platforms you’re already paying for have added AI capabilities. Check before you buy something new.

The discipline to say no to new AI tools might give you a competitive advantage right now. While your competitors are drowning in options, you can be more agile with fewer, better-integrated tools.

Dig deeper: Stronger targeting starts with aligned personas and ICPs

The payoff of a lean stack

When you reduce your MarTech debt, your team moves faster because there are fewer obstacles in their way. Data becomes more reliable and actionable because it’s not scattered across a dozen systems. Your budget goes to tools that actually deliver ROI, not ones that sit unused. New team members can onboard quickly because they don’t need to learn 15 platforms. And you can actually see what’s working because your reporting isn’t fragmented.

A lean stack isn’t about having less capability. It’s about having the right capability that your team will actually use.

Don’t try to fix everything at once. Start with the obvious waste – the tools nobody uses, the duplicate functionality, the failed integrations that are costing you hours every week.

The bottom line

More tools don’t make you more effective. The right tools, used well, make you more effective.

In an age of AI and endless options, the discipline to streamline and say no is your competitive advantage. While other teams are drowning in complexity, you can build something lean, focused, and actually functional.

Your marketing stack should make your team’s work easier, not harder. If it’s not doing that, it’s time to make some cuts.

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