Yes, marketing automation has made our lives easier. But marketing executive Margarita Savytska believes that AI is now making send, suppress, and target decisions based on outdated data.
For a start, the data hasn’t been verified in years. Secondly, Savytska warns that in most B2B marketing automation environments, the data supplying campaign execution was built several years ago (3-5 years).
Consent was captured under outdated regulations. Suppression lists were reconciled using legacy systems. Lead-scoring models were built around buyer profiles that no longer reflect the modern customer. And it all comes down to maintenance, or the lack of it.
The Biggest Risk Isn’t Automation
Automation works best when customers trust the business. Every workflow assumes that customer data is accurate, integrations are working, and business rules reflect reality. That’s a risky assumption.
As marketing technology stacks become more sophisticated, they also become more complex. Martech ecosystems continue to expand from organizations deploying CRMs and customer data platforms to AI-powered personalization tools.
At the same time, CMOs are placing AI and marketing technology among their top skills priorities. That success now depends as much on operational excellence as creative execution.
But the more complex, the more challenging the maintenance is. Consent records age. Customer preferences change. APIs break. Platforms receive updates. Business priorities evolve.
As Margarita Savytska cautioned, if those moving pieces aren’t continuously monitored, automation starts producing diminishing returns.
Automation Magnifies Existing Problems
AI has made marketing automation faster and more effective. It hasn’t eliminated the need for governance.
An AI-powered recommendation engine can personalize experiences at scale, but only if the customer data feeding it exists. Likewise, automated segmentation is only valuable if audiences are properly maintained. Otherwise, automation scales bad decisions faster.
McKinsey explains that some organizations automate existing processes without fixing the underlying data or operational issues. Instead of becoming more intelligent, automation makes existing inefficiencies more efficient.
As it stands, the martech sector is expected to be valued at more than $215 billion by 2027, according to McKinsey. And C-suite executives (90%) are placing their trust in tools to make it happen.
“Repeated exposure to inaccurate or inconsistent data erodes confidence among stakeholders. Business users begin to question insights and customer experiences inevitably suffer.” – Tom Krantz, sustainability, data and AI governance expert.
This means regularly auditing:
Customer Data Quality
Duplicate records, outdated contact information, and inconsistent consent preferences all reduce campaign effectiveness.
Workflow Performance
What worked a year ago may no longer reflect today’s customer journey.
AI Outputs
Lead scoring, personalization, and predictive recommendations should be reviewed rather than blindly accepted.
IT Services Keep the Engine Running
Marketing teams shouldn’t have to be infrastructure specialists. They focus on strategy, customer experience, and revenue growth.
Someone needs to monitor networks, apply security updates, and resolve technical issues before they affect campaigns.
That’s where managed IT services become part of the marketing conversation. Proactive managed IT support helps organizations maintain system performance, improve security, reduce downtime, and support business continuity.
Those benefits extend well beyond the IT department. The Office Technology Group says that if you want your data to remain secure and compliant, a managed IT service provider makes the most sense.
Reliable infrastructure means:
- Campaigns launch on schedule.
- Customer data stays secure.
- Integrations continue working.
- Marketing platforms remain available.
- AI tools receive clean, dependable data.
The less time marketing teams spend troubleshooting technology, the more time they spend creating value.
Integration Deserves as Much Attention as Innovation
Most marketing teams focus on adding new capabilities. Far fewer spend time maintaining the connections between them.
A CRM update, a website redesign, or a new sales platform can disrupt data flowing between systems.
The result is incomplete customer profiles, inaccurate reporting, and automation sequences that trigger at the wrong time. Technology leaders argue that communication, integration, and automation must evolve together.
Automation delivers value only when every connected system shares reliable, consistent information. That’s why integration should never be viewed as a one-time implementation project. It’s an ongoing business process.
FAQs
1. Why is maintaining marketing automation as important as implementing it?
Marketing automation depends on accurate data, reliable integrations, and up-to-date business rules. Without regular maintenance, AI models can reduce campaign performance and lead to poor marketing decisions.
2. How can outdated data affect AI-powered marketing?
If customer profiles, consent records, or lead-scoring models haven’t been updated, AI may target the wrong audiences. Misclassify leads or make inaccurate personalization decisions.
3. What role do outsourced IT services play in marketing?
Managed IT services monitor infrastructure, maintain integrations, apply security updates, and minimize downtime.
4. How can organizations improve the performance of their marketing automation?
Checking customer data on a regular basis helps keep it accurate. Reviewing AI-generated recommendations. Testing workflows. Updating integrations. Maintaining CRM and marketing platforms all help ensure automation remains accurate and secure.
Marketing Automation: Key Statistics
| Stat | Figure | Source |
| Global martech market value by 2027 | $215+ billion | McKinsey |
| C-suite executives who trust technology to drive marketing outcomes | 90% | McKinsey |
| Years since many B2B marketing datasets were last fully verified | 3-5 years | Margarita Savytska via AdExchanger |
| Common infrastructure benefits of managed IT services | 5 | The Office Technology Group |
Maintenance Creates Competitive Advantage
Marketing automation has become more advanced over time. The differentiator is not who owns the most tools. It’s who manages them best. Harvard’s research shows that organizations struggle not because they lack technology, but because they fail to integrate systems.
Well-funded marketing teams automate yesterday’s processes instead of continuously improving them. Their winning competitors treat automation like any other business asset.
They review workflows. Retire outdated processes. Refresh customer data. Evaluate AI decisions. They keep their data accurate, secure, and aligned with business goals.
