Q1: How has the role of MarTech evolved over the last few years, especially with AI becoming a core part of marketing?

MarTech is being reimagined at this stage, but to get real value, the structure and tools we use to unlock the power of AI need to be completely different. The core challenges marketing operations professionals have continually faced remain the same—siloed data and poor data quality.

Marketing operations professionals need to step up, as they understand technology, technical languages, project management, and business process assessments. Because of these core competencies, they can help narrow down requirements and support fellow marketers in understanding the potential of AI.

Q2: Many organizations today have complex MarTech stacks—what’s the biggest challenge in making these systems work effectively together?

Unfortunately, I think the value of AI lies in reevaluating complicated stacks and creating new, composable ones. The current stack was built around platforms, but with AI, we may not need those platforms in the same way anymore.

Siloed data remains a major challenge as we move into the world of AI. Centralizing data and enabling it to flow seamlessly is key to unlocking AI’s full potential.

Companies should reevaluate the marketing technology functionality they truly need, explore new tools that offer more relevant capabilities, and leverage AI where it is strongest—such as identifying ICPs and understanding marketing influence.

Q3: How is AI changing the way marketing tools and platforms are being used today?

I haven’t seen a significant shift yet. What I have seen is AI being layered on top of existing technology stacks. This concerns me, as it can create technical debt.

While these short-term solutions may work, maintaining these systems and relying on existing platforms to maintain their core functionality poses a significant risk. Additionally, managing AI with limited bandwidth is another challenge.

Similar to marketing technologies, AI requires dedicated resources to monitor, maintain, and ensure it runs as expected. Most marketing operations teams are already stretched thin, so it’s important to consider the support needed before adding new technology to the stack.

Q4: How important is seamless integration between tools (CRM, automation, analytics, etc.) in driving marketing performance? Can you also recommend some of the best tools you have ever used?

Integrations across CRM and marketing tools are important to keep data in sync. However, with the future of AI, moving data from core systems into centralized data platforms creates greater value and allows the true power of AI to be unlocked.

As traditional CRM and marketing automation platforms have grown into large organizations—often expanding through acquisitions—new competitors are emerging with more modern solutions. While older CRMs required manual data entry and additional call-logging tools, newer platforms have these capabilities built in.

The pace at which new tools are entering the market is incredibly fast. What I recommend today could easily change in just a few weeks.

Q5: With so many tools available, how can teams avoid over-investing in technology without a clear ROI?

Before purchasing any tool, take an inventory of your business processes, identify gaps that can be automated, and assess the tools you already have. You may find that some tools are underutilized or have overlapping capabilities.

It’s also possible that you haven’t consistently evaluated the impact of these tools—whether in terms of improving efficiency through automation or contributing to a higher-quality pipeline for the sales team. Now is the time to start measuring and reporting on this quarterly.

Keep all marketing technology centralized, with Marketing Operations and IT as key stakeholders. Business users should clearly define the problems they are trying to solve, while Marketing Operations and IT teams can help identify the right solutions.

What I’ve often seen is companies rushing to adopt new technology without clarity on the problem. Sometimes the solution lies in adjusting processes; other times, it requires introducing new technology.

Q6: Having data is one thing, but activating it is another. Where do organizations typically fall short?

Big data has made data activation more challenging. We tend to hoard data without a clear understanding of why we need it, and issues with completeness and accuracy make it even harder to extract meaningful insights.

This is where a strong data policy becomes essential. Organizations need to align on what “good data” looks like, what data is necessary to understand the impact of marketing strategies, and what should be archived or removed.

Most organizations have multiple versions of the same individual across their systems, often tied to different employers. There’s often no reliable way to confirm that Danielle Balestra from Goodwin is the same Danielle Balestra from CIT. We rely on this data to generate insights and guide future campaigns, but if it isn’t accurate, it leads to poor decision-making.

Q7: How do you see MarTech stacks evolving in the next 2–3 years with AI and automation advancing rapidly?

AI is advancing rapidly, and in the short term, the focus should be on getting data policies and data quality in order. The next generation of marketing technology is being built and will enable a shift from SQL-based administration to context-based administration.

This is very exciting and will unlock more advanced audience-building and campaign capabilities. However, this potential can only be realized if data is available and maintained in an agreed-upon “good quality” state.

Q8: What should organizations prioritize when building or optimizing their MarTech stack?

When building or optimizing a marketing technology stack, I start by looking at how the business goes to market. What are the key campaigns—are they event-heavy, focused on thought leadership, or driven by advertising? I also look at sales motions to understand what data is needed as prospects move through the funnel.

Once you understand how marketing and sales teams operate, identify what data is missing and which processes can be automated and supported by technology. If you’re assessing an existing stack, review which tools do not have a direct impact on improving processes or leveraging data.

I’ve seen organizations that own software that no one has logged into for years—or ever. These are clear candidates for discontinuation.

With so many technology options available, focus on what will have the greatest impact on achieving business objectives, while also considering cost and ease of administration. It’s equally important to keep leadership informed so they understand the priorities behind selecting, replacing, or retiring tools.

Q9: Looking ahead, what does “winning” in digital marketing look like in an AI-first world?

AI enables easily repeatable work where data is centralized within a system. Unlike SaaS, where your data was owned by you, AI models are built on shared knowledge across users. This creates noise, increases accessibility, and leads to a rise in zero-intent data, making it harder for both sellers and buyers to find each other. We’re already seeing this in areas like the job market.

To win, marketers need to rely on first-party data, improve data collection methods, continuously test campaign programs, and ensure open communication with customers. Delivering products and services that truly meet customer needs will drive year-over-year growth and open up referral opportunities.

Focusing on the fundamentals, keeping customer promises, and executing consistently, will help marketers stay ahead.

Q10: How should organizations balance short-term performance marketing with long-term brand building?

I believe leadership should define the long-term vision, while middle management focuses on delivering short-term performance. Long-term visions shouldn’t be overly detailed; instead, they should focus on broader goals, such as capturing a certain share of the market or becoming a category leader within a specific industry.

Having a bold, overarching goal allows for smaller, time-bound objectives to be set along the way. A clear north star helps teams stay aligned, especially during turbulent times. It allows them to assess progress, identify where adjustments are needed, and adapt to shifts in the market, whether in product, messaging, pricing, or sales approach.

Success comes from consistent execution, staying focused on goals, and making the right adjustments along the way.

Q11: If a company wants to improve marketing ROI quickly, what are 2–3 areas they should prioritize?

This question is somewhat contradictory, as marketing is a long-term investment. Depending on the product or service, the payoff can take time.

At a recent dinner, I spoke with a CMO who highlighted that one of the biggest challenges is visibility into top-of-funnel pipelines (people who are not yet actively considering a purchase). This is why investing in brand awareness is critical, ensuring that when the need arises, your brand is top of mind.

For prospects already in the funnel, the focus should be on customer research and understanding how they feel about making a purchase. Many organizations are not listening closely enough to their customers and prospects.

Strong customer experience drives retention and enables referral programs, both of which are highly valuable, as they lead to repeat business and bring new prospects into the pipeline.

Q12: What’s one piece of advice you’d give to marketing leaders trying to build a high-performing growth engine?

Your organization is like a living organism, and the systems you build must work seamlessly across multiple departments. To maximize value, data should be centralized and shared so all teams can access, interpret, and use it to drive future growth.

Build a stack that can scale with your organization, and ensure it aligns with how your business operates today while supporting its future growth.