CMO tenure is hovering around 1 — 3 years right now. That’s not a lot of time to prove your worth, build momentum, and drive the kind of growth your CEO expects.

Pressure is coming from every direction. Budgets are tighter. Buyers are more informed (and more skeptical). AI is changing everything about how people discover, evaluate, and buy. And somewhere between all of that, you’re supposed to show clear ROI on marketing spend while keeping your team sharp, your tech stack humming, and your message consistent.

Here’s the thing — these challenges aren’t going away in 2026. But you can get ahead of them with the right strategies in place.

Below are five top-of-mind challenges CMOs are wrestling with right now according to our conversations with customers and at CMO Summits in 2025, plus practical ways to approach them without adding more chaos to your plate.

Challenge 1: Proving marketing’s value when attribution is murky

Over half of B2B marketers say their teams are still seen as cost centers. That’s a problem when every dollar is being scrutinized and executives want to see how marketing directly impacts pipeline and revenue.

Attribution models are helpful, but they rarely tell the full story. A lead might engage with six pieces of content, attend a webinar, get nurtured through email, and then convert after a sales conversation. Which touchpoint gets the credit?

What you can do about it:

  1. Stop relying on one-to-one attribution as your only measure of success. Instead, focus on influence and engagement across the buyer journey.
  2. Track how content, campaigns, and activities contribute to pipeline velocity. Are deals moving faster when prospects engage with certain materials? Are specific campaigns shortening sales cycles or increasing deal sizes?
  3. Build a narrative around those insights. Show executives how marketing activities create awareness, educate buyers, and support sales conversations — even if they don’t always get last-touch credit.
  4. Communicate marketing’s impact in language that resonates with the C-suite. Talk about pipeline contribution, customer acquisition cost, and lifetime value instead of clicks, impressions, or downloads.

See also: How to Prove Marketing Value – Demonstrating Content ROI and Contribution to the Sales Opportunity Funnel.

Challenge 2: Incorporating AI without sacrificing quality or strategy

Everyone’s talking about AI. CEOs want it implemented yesterday. But dropping AI into a fragmented marketing organization without a plan doesn’t create efficiency — it creates more problems.

AI works best when it’s built on top of solid processes, clean data, and clear goals. Without those foundations, you’re just automating chaos.

What you can do about it:

  1. Start with your operating model. Before you scale AI across your team, make sure your workflows, data, and systems are in good shape. AI can’t fix broken processes or bad data. It will only expose those gaps faster.
  2. Use AI where it makes the most sense first. Content personalization, lead scoring, and campaign optimization are strong starting points because they deliver measurable improvements quickly.
  3. Train your team on how to use AI tools effectively. They need to understand what AI can (and can’t) do, how to prompt it correctly, and how to review outputs critically. AI is a tool, not a replacement for human judgment.
  4. Set clear guidelines around quality and brand consistency. AI-generated content should always be reviewed and refined by someone who understands your brand voice and messaging standards.

See also: The importance of AI for marketers in the era of “do more with less.”

Challenge 3: Building a data-driven culture that actually drives growth

Data is everywhere. Reports, dashboards, analytics tools — you’ve probably got more data than you know what to do with. But having data and using it to make smart decisions are two very different things.

Too many marketing teams are drowning in metrics without a clear sense of what matters or how to act on what they’re seeing.

What you can do about it:

  1. Define what success looks like for your team. Pick three to five key metrics that directly tie to business outcomes — pipeline contribution, conversion rates, customer retention — and use those as your North Star.
  2. Make data accessible and easy to understand. If your team can’t quickly pull insights or understand what the numbers mean, they won’t use them. Simplify reporting so everyone knows what to look for and what action to take.
  3. Create regular check-ins where you review data as a team and discuss what’s working, what’s not, and what you’re going to do differently. Data-driven cultures aren’t built overnight — they require consistent practice and reinforcement.
  4. Connect data to real business context. Numbers alone don’t tell the story. Help your team see how metrics tie to revenue, growth, and customer satisfaction so they understand why the data matters.

Challenge 4: Closing the communication gap between marketing and sales

B2B organizations are losing an estimated $1 trillion a year because marketing and sales don’t speak the same language. That’s not a typo.

When marketing creates campaigns without understanding real buyer objections, pain points, and needs, the messaging misses the mark. Sales teams end up reworking materials, ignoring what marketing produces, or wasting time hunting for what they actually need.

What you can do about it:

  1. Bring sales into the content creation process early. Ask them what objections they’re hearing, what questions buyers are asking, and what materials would actually help them close deals faster.
  2. Create a shared messaging framework that both teams use. This should include positioning, value propositions, and common buyer pain points — all informed by real customer conversations, not assumptions.
  3. Hold regular alignment meetings between marketing and sales leadership. Review what’s working, what’s not, and where gaps exist. These conversations should be collaborative, not combative.
  4. Track how sales is using marketing materials. If certain assets are getting ignored, find out why. If others are driving results, create more like them. Let data guide your content strategy.

Challenge 5: Staying visible when AI is controlling discovery

Search behavior is shifting fast. AI tools like ChatGPT are handling more queries every month, and that trend isn’t slowing down. In fact, AI-driven search doubled between June 2024 and early 2025.

This means buyers are increasingly relying on AI to surface information, compare options, and make decisions — often before they ever visit your website or talk to your sales team.

What you can do about it:

  1. Make your content machine-readable. AI systems rely on structured data to understand and rank information. Use clear headers, concise language, and semantic markup so AI tools can easily parse and surface your content.
  2. Build trust signals into everything you publish. AI systems prioritize authoritative, trustworthy sources. Earn backlinks, get cited by reputable publications, and make sure your content reflects real expertise.
  3. Optimize for both human buyers and the AI systems guiding their decisions. That means writing content that answers specific questions, solves real problems, and demonstrates clear value — not just targeting keywords.
  4. Monitor how AI tools are representing your brand. Run searches related to your products or services through AI platforms and see what comes up. If your brand isn’t showing up, or if the information is inaccurate, that’s a signal to adjust your strategy.

Listen to: AI Changed the Buyer Journey — Now What? Episode 14 of the Enablement Uncanned podcast with SVP of Marketing Lisa Borg from Akumin.

Where to focus in 2026

These challenges aren’t new, but they’re getting harder to ignore. CMOs who want to stay ahead need to focus on building strong foundations — clean data, aligned teams, clear processes — before layering on new tools or tactics.

AI, attribution, and buyer behavior will keep changing. What won’t change is the need for marketing leaders to prove value, drive growth, and build organizations that can adapt quickly.

Start with the areas where you’re feeling the most friction. Pick one or two of these challenges and commit to making meaningful progress in the first quarter of 2026. Small, focused improvements add up faster than sweeping overhauls that never get finished.

Want to hear how other CMOs are tackling these challenges with end-to-end enablement? Connect with us.