You replaced your marketing automation platform 18 months ago. Better scoring models, cleaner integrations, and a personalization engine your team has been asking for years.
Today, the speed of campaigns hasn’t changed, the quality of leads is the same, and your CEO is asking the same questions about marketing’s contribution to revenue. The platform is probably not to blame.
Organizations with good execution achieve huge results with average platforms. Teams with weak execution underutilize sophisticated systems. The martech industry has spent years debating which platforms to buy while ignoring a more direct question: Can your team implement any platform?
Three recent studies, from three different perspectives, come to the same conclusion: the gap between what marketing technology can do and what marketing teams can execute is growing.
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The Gap Between Complexity and Skills
The 34th edition of THE CMO survey asked senior marketing executives to rate their skills in various areas. Marketing management as a growth engine comes in last place. Talent activation and marketing capability development were just above that.
Hiring the right people represents the biggest challenge for 41% of these leaders, and among those who cited training as their top concern, 44% said their organization had no training programs at all.
This skills gap has a direct impact on technological performance. McKinsey Martech 2025 Study found that 34% of buyers cite underqualified talent as a major barrier to achieving value, while 47% highlight complexity and onboarding challenges.
When researchers dug deeper in interviews, many organizations claiming operational maturity lacked the key tools needed to support it.
This model is not unique to marketing. Two thirds of managers and executives in all sectors say most recent hires were not fully preparedwith applied experience being the most common gap, according to Deloitte’s 2025 Global Human Capital Trends survey.
Your team members may know which buttons to click, but translating platform functionality into business results requires experience that most organizations don’t have.
The common thread across all three studies: organizations buy platforms that outperform the people who operate them. Each new tool adds configuration requirements, training requirements, and governance costs that no one anticipated.
Every tool you add increases the operational burden on an already overloaded team. MarTech 2025 survey on the state of your battery found that 45% of respondents cite the lack of qualified resources as a significant challenge.
Most organizations respond to underperformance by purchasing more technology. Is personalization insufficient? Add a CDP. Attribution broken? Layer it on top of another analytics tool. Lead scoring is unreliable? Use an intent data provider. Configuration, training, and governance requirements are piling up faster than the headcount or budgets to meet them.
Most marketers are still in the early stages of maturity, apply technology to automate legacy processes instead of developing new methods of customer engagement. Organizations are layering new tools on top of existing systems rather than streamlining what already exists. Replacing tools is no longer a priority because migration seems costly and cross-functional coordination is painful.
So the redundant platform remains, the new one is added to it, and your team now manages both. The stack grows, but the team’s ability to manage it does not.
Budget for the investment that no one includes
Most organizations don’t budget for the people and processes that drive platform performance. Here’s what it looks like when they do, with three criteria you can present to your CFO.
Training: 15 to 20% of the annual cost of the software license
Of a $200,000 annual platform contract, $30,000 to $40,000 per year should be set aside for vendor certification courses, hands-on configuration workshops, and cross-training between platform functions. This is not a one-time onboarding session cost during implementation, but an annual cost that should be budgeted and tracked like any other operational expense.
When team members leave or roles change, this budget covers updating replacements before performance deteriorates. If 44% of marketing organizations have no training program, the starting point is to include this line item in the budget.
Process and Operations Staff: One full-time role for three to four core platforms
“One full-time role for three to four core platforms” means your CRM, MAP, CDP, and analytics layer, not each point solution or utility tool. Process design is bypassed in favor of platform selection, when it is the primary factor determining whether those platforms produce returns.
Budget for this headcount the same way you budget for implementation: ownership defined for each integration point, with someone accountable when data stops flowing between systems.
Document the workflows your team follows daily so they survive personnel changes. Without this headcount, coordination falls to already overworked people, and every vendor update or integration change becomes a fire drill.
Data governance: 10-15% of total martech software spend
Your personalization engine, scoring models, and attribution frameworks depend on clean, well-governed data. This budget covers dedicated data engineering hours for normalization and deduplication, third-party enrichment services, periodic audit cycles, and data health monitoring tools in integrations.
Without data governance, sophisticated platforms produce unreliable results, teams lose confidence in the tools, and the organization reverts to spreadsheets and gut decisions.
Technology amplifies. It does not create.
The martech industry’s $215 billion spending trajectory through 2027 won’t produce returns alone. None of the nearly 50 Fortune 500 CMOs surveyed by McKinsey were able to measure the ROI of their martech investments. This is the predictable result when organizations fund platforms and ignore the operational work that those platforms depend on.
Every dollar spent on software without a corresponding investment in people and processes is a dollar that risks producing nothing measurable.
The above criteria should be included in your next budget cycle. If you’re considering a martech investment, look at the team that will operate it. Ask them if they have the skills to set it up, the processes to maintain it, and the data practices to power it.
If you can’t provide the training budget for your new platform, you’re not buying a solution. You buy shelves.
