Author: Elisheva Weiss

Every few years, someone redraws the marketing org chart and calls it the future. We’ve had the full-funnel team, the growth team, the pod, the squad and (my personal favorite) the tiger team, which as far as I can tell was a regular team that had a very good offsite.

Now the boxes on the chart are filling up with AI. Some companies are doing it with care: a research agent here, a writing assistant there, and a person who checks the work before anything goes out. Others bought eleven tools in a single quarter, wired them together with digital duct tape, and are still waiting for pipeline to fall out the bottom.

It’s a confusing time to run a marketing team.

And the pressure is real. Somewhere a board deck says marketing will do twice the work with half the headcount by Q2, and someone (usually you) has to work out what that means on Monday morning. Nobody ever says which half.

So before anyone moves another box, it helps to answer the question underneath all of it: what should your marketing team structure look like in 2027, when part of the team is AI?

This guide covers the classic structures, what changes with AI employees on the team, the 2027 org chart, three set-ups by team size, and how to make the change without breaking what already works.

What Is a Marketing Team Structure?

A marketing team structure is how you divide marketing work into roles, who owns each role, and who reports to whom. In other words, it is the answer to “whose job is this?” for every task marketing does.

Most B2B companies have used one of three classic models, or a mix of them.

Structure by Function

Each person owns a type of work: content, demand generation, product marketing, events, marketing operations. This is the most common marketing department structure in B2B, because each skill gets a clear owner. The weak spot is handoffs, since a campaign has to pass through four people to go live.

Structure by Channel

Each person owns a channel: the website, LinkedIn, email, paid ads, events. It works well when one or two channels bring most of the business. However, it tends to produce channel goals (more followers, more opens) instead of business goals.

Structure by Product, Region or Segment

Each person or small team owns a market: a product line, a region, an industry. Large companies use it so each market gets its own voice. For a team of five, though, it usually means everyone does a little of everything.

In practice, most B2B companies under 500 people run a mix: a head of marketing, two or three generalists, and an agency or freelancers filling the gaps. If you want to see the roles themselves in more detail, our field guide to the types of marketing professionals walks through each one.

What Changes When Part of the Team Is AI

The classic models divide work by job. AI divides it by task. That one shift changes the whole chart.

A content marketer’s week, for example, includes research, outlining, drafting, editing, repurposing, publishing and reporting. Some of those tasks can go to AI, some should stay with a person, and some are shared. So the useful question is no longer “do we hire a content marketer?” but “which parts of content work does a person need to own?”

We call the AI side of that split an AI employee: an AI agent with one defined job, written instructions, access to the tools it needs, and a person who reviews its work. The last part matters most. An AI agent without a manager is a tool someone forgot to put away. (Our guide to AI agents for marketing covers what they do well and where they slip.)

Four things change once AI employees join the team:

• The team gets smaller in headcount, not in responsibility. Someone still owns every result.
• The scarce skills move. Judgment, voice, priorities and review become the core of each human role.
• Every AI employee needs a named manager. One person writes its instructions, checks its output and answers for its mistakes.
• Written material becomes infrastructure. Your plan, your message and your voice guide are what the AI employees work from, so they have to exist on paper.

The 2027 Marketing Org Chart

Here is the structure we use and recommend for a B2B marketing team in 2027. It has a person at the center, two or three people around her, and a small set of AI employees, each reporting to one of them.

Two details in this chart do most of the work. First, every AI employee has exactly one human manager. Second, nothing public goes out without a person’s sign-off, which is why the content lead and the head of marketing sit where they do.

Agencies and freelancers still have a place. Design, video, events and paid media buying often stay outside the team, because they need specialist hands or bursts of capacity.

Who Is Human, Who Is AI, and What Is Shared

For every task on the team, ask one question: does this need judgment about our business, or does it need speed on a clear standard? That sorts most tasks into three groups.

The middle column is where most of the value is. In shared work, the AI employee does the first 70% fast, and the person does the last 30% well. Teams that skip the middle column tend to land at one of two extremes: they either use AI for almost nothing, or they publish whatever comes back.

Three Marketing Team Structures by Size

The chart above is the full version. Most B2B teams start smaller, so here is how the same structure works at three sizes.

A Team of One

One person runs marketing, often next to another job. She is the head of marketing, the content lead and the operations lead at once. In this case, start with one AI employee, usually the content writer or the analyst, whichever task eats more of her week. She keeps strategy, voice and sign-off. An agency or freelancer still handles design.

A Team of Two or Three

A head of marketing plus one or two people, usually a content person and someone who handles the website and CRM. Here the split above works almost as drawn: the content lead manages the content writer, the operations person manages the search specialist and the analyst, and the head of marketing manages research and outreach with sales.

A Team of Four to Ten

At this size, the change is less about adding AI and more about reorganizing around it. Roles that were mostly production (a second content writer, a reporting analyst) shift toward review and editing. Meanwhile, the marketing operations role grows, because someone has to own how the AI employees are set up, what they can access and how their work is checked.

Who Reports to Whom

Reporting lines matter even more with AI on the team. An AI employee will happily do the wrong work at great speed, so each one needs a person who decides what it works on.

In our experience, three rules keep the lines clear:

• One manager per AI employee. Two managers means nobody checks the work.
• The manager owns the output. If the AI content writer gets a fact wrong, the content lead answers for it, the same way she would for a junior writer.
• Marketing and sales share the goals. The outreach rep works for both, so its instructions, lists and results should be agreed with sales.

How to Restructure Without Breaking the Team

The safest way to change a team structure is one step at a time. Here is the order we use with clients.

Start From the Plan, Not the Tool

Write down what marketing has to achieve this quarter before choosing any AI employee. The one-page marketing plan is a good format. Then pick the AI employee that moves the plan most, rather than the one with the best demo.

Write Your Message Down First

AI employees work from what you give them. If your positioning, audience and voice live only in someone’s head, the output will sound like everyone else. Our guide to brain files shows how to put them on paper.

Add One AI Employee at a Time

Give each new AI employee a month. Check the work every week, write down what it got wrong, and update its instructions. Only then add the next one.

Name the Reviewer Before You Start

Decide who reviews each AI employee’s work before it does any. Also decide what “good” looks like, so the review is quick and consistent.

Measure After 30 Days

Compare the month with the month before: hours saved, output, quality and results against the plan. If the numbers didn’t move, change the job or retire the AI employee. Either way, you learn something about your structure.

Frequently Asked Questions

What is a marketing team structure?

A marketing team structure is how a company divides marketing work into roles, who owns each role, and who reports to whom. The classic models organize by function, by channel, or by product, region or segment. Most B2B companies use a mix.

What does a marketing department structure look like in 2027?

In 2027, a B2B marketing department has a small human team at the center, usually a head of marketing plus one or two leads, and a set of AI employees with defined jobs. Each AI employee reports to one person, and people keep strategy, voice, relationships and sign-off.

How do you structure a small B2B marketing team?

Start with the plan and one owner for marketing. Then add one AI employee for the task that takes the most time, usually drafting content or pulling reports. Keep strategy and sign-off with a person, and use an agency or freelancers for specialist work like design.

Will AI replace marketing team roles?

AI replaces tasks more than roles. Research, first drafts and reporting move to AI employees, while judgment, voice and relationships stay with people. We go deeper in Will Marketing Be Replaced by AI?

Who should manage AI employees in a marketing team?

Each AI employee should report to one named person, usually the lead whose work it supports. That person writes its instructions, reviews its output and owns its mistakes.

The Chart, Redrawn

The tiger team had a great offsite. Your 2027 team gets something more useful: a written plan, a few AI employees with clear jobs, and one person in the middle who decides.

And when the board deck asks which half of the work AI is doing, you’ll have an org chart that answers.

So which job would you hand off first? The free AI-Readiness Self-Audit shows whether your team is ready for its first AI employee.

Every era of marketing gets its prophecy. Television would kill print. The internet would kill television. Social media would kill the website, and then the website would come back, slightly embarrassed, with a cookie banner.

The prophecy this time is that AI will kill the marketing department. Some say gently, by doing all the work. Some say rudely, by making the work so cheap that nobody needs to be paid for it.

Meanwhile, the actual marketing department is in a meeting, trying to work out why the new AI writing tool keeps describing the company as “a leading provider of innovative solutions.” (It is not a leading provider. Nobody is sure what the solutions are. The tool has been told this three times.)

It’s an unnerving time to work in marketing.

The honest answer to “what happens to the marketing department?” is more interesting than either prophecy. Your department doesn’t disappear. It changes shape. Part of the team is now AI, part of it is still people, and the work that matters most is deciding which is which.

This is the main guide to our series on the marketing department in 2027: what it does, how it’s built, who is human and who is AI, and the principles we use to build one.

What Does a Marketing Department Do?

A marketing department finds the right customers, gives them a reason to choose you, and makes it easier for sales to win them. In a B2B company, that usually covers five jobs:

• Understanding the market. Who the best customers are, what they need, and who else they’re considering.
• Deciding the message. What you stand for, who it’s for, and how you say it.
• Getting found. The website, search, content, social, events and ads.
• Starting conversations. Turning interest into leads and handing them to sales.
• Measuring what works. Reporting results and changing the plan when the numbers say so.

None of those jobs go away in 2027. What changes, however, is who does each part of each one.

The Three Layers of the 2027 Marketing Department

The simplest way to picture the new department is in three layers.

Goals and briefs move down. Drafts and results move up. When an agent starts deciding, or a leader starts drafting, the department stops working.

For the org chart version, with each role and who reports to whom, see our guide to marketing team structure for 2027.

Who Is Human and Who Is AI

For every task in the department, ask three questions:

1. Does it need judgment about our business? Priorities, positioning, budget and anything that commits the company.
2. Does it need a relationship? Customers, sales, partners and leadership.
3. Does it need speed on a clear standard? Research, first drafts, reports and upkeep.

If the answer to the first or second question is yes, a person keeps it. If only the third is yes, it can go to AI. A mix means it’s shared: AI does the first version fast and a person finishes it.

For example, here’s how that sorts the work in a typical B2B department.

This is the split StepUp uses for its own marketing, and the one we recommend to clients.

Meet the AI Employees

We call the AI side of the department AI employees: agents with one job each, written instructions, the access their job needs, and a person they report to. In most B2B departments, five jobs cover the work. Still, the value is in the whole department rather than in any single agent. Most companies are buying agents one at a time, so the teams that get results are the ones that design how the agents work together.

• Market Researcher. Tracks competitors, keeps the customer profile current, and turns sales notes into the questions buyers ask.
• Content Writer. Drafts blogs, posts and newsletters in your voice, and turns one strong piece into five smaller ones.
• Search Specialist. Reads Search Console, fixes page titles and links, and shapes content so search engines and AI answers can find it.
• Outreach Rep. Builds lists of the right companies, drafts first messages and follow-ups, and keeps the CRM clean.
• Analyst. Writes the weekly one-page report and checks every number against its source.

However, none of them decide what to work on, and nothing they make goes out without a person’s approval. For a closer look at what an AI employee is and isn’t, see our guide to AI employees.

What Stays Human, No Matter What

Some parts of marketing don’t move to AI, and they’re the parts that make the department worth having.

• Deciding what matters. Which customers, which message, which three things this quarter.
• The voice. AI can write in your voice once you’ve defined it. It can’t decide what you believe.
• Relationships. With the CEO, with sales, with customers. Trust is built by people.
• Judgment on the output. Catching the claim with nothing behind it, the number that doesn’t fit, the post that’s on brand but wrong for this week.
• Accountability. When something goes wrong, a person answers for it.

These are also the skills that make a marketer hard to replace. If anything, they’re worth more now.

The Principles for Building the Department

These are the rules we build by, with clients and in our own team.

Start From the Plan, Not the Tool

Write down what marketing has to achieve before choosing any AI agent. Then pick the agent that moves the plan most. Our one-page marketing plan is a good format.

Buy Smart, Build Fast

You don’t need a new platform for every job. Most of the department can run from one workspace that sits on top of the tools you already have: the CRM, the website and analytics. So buy only what fills a real gap, and build the rest quickly. We also use one test for every tool and every agent: if setting it up and keeping it running takes more energy than the result it brings, it is not a growth system.

Write the Brand Down First

Agents work from what they’re given. Your positioning, audience, voice and the words you never use have to exist on paper before any agent starts. Our guide to brain files shows how.

Hire One AI Employee at a Time

Give each new agent a month. Check its work every week, write down what it got wrong, and update its instructions. Only then add the next one.

Every Agent Gets a Job Description and a Manager

One page per agent: what it does every week, what it needs from you, what it can’t do, and who it reports to. One manager per agent, so someone always checks the work.

Give Each Agent Only the Access It Needs

Most agents read and draft. Publishing and sending stay with a person.

Turn Every Correction Into a Rule

When an agent gets something wrong, fix the draft and add a line to its instructions. In the end, those lines become the department’s most valuable document.

A Person Signs Off on Everything Public

No exceptions. In fact, this is the rule that protects the brand.

Where to Start

You don’t need to redesign the whole department at once. Start here:

1. Write the plan for next quarter on one page.
2. Write the brand files, if they don’t exist yet.
3. Pick the task that eats the most hours each week, and give it to one AI employee.
4. Name the person who reviews that agent’s work.
5. Check after 30 days: hours saved, quality, results against the plan.

If you’re a team of one, our guide to the one-person marketing team shows how far that can go.

Frequently Asked Questions

What does a marketing department do?

A marketing department finds the right customers, gives them a reason to choose the company, and helps sales win them. In B2B, that covers understanding the market, deciding the message, getting found, starting conversations and measuring what works.

Will AI replace the marketing department?

AI replaces tasks more than departments. Research, first drafts, reporting and website upkeep move to AI agents, while strategy, voice, relationships and the final sign-off stay with people. The department gets a new shape, not a pink slip. We go deeper in Will Marketing Be Replaced by AI?

What does an AI marketing department look like?

It has three layers: leadership decides the goals and budget, one person runs the week and reviews the work, and AI agents each handle one kind of work, such as research, writing, search, outreach drafts or reporting. Every agent reports to a named person.

Which marketing jobs should stay human?

The jobs that need judgment about the business or a relationship: strategy and priorities, the brand voice, relationships with customers, sales and leadership, review of AI output, and accountability for results.

How do you start building a marketing department with AI?

Write the plan and the brand files first, then give the most time-consuming task to one AI employee with a named reviewer. Check the results after 30 days before adding the next one.

The Prophecy, Revised

The marketing department survived television, the internet and the cookie banner. It will survive this too, with fewer people doing the typing and more people doing the deciding.

And that writing tool will eventually stop calling you a leading provider of innovative solutions. Somebody just has to write the rule.

Which job would you hand off first? The free AI-Readiness Self-Audit shows whether your team is ready for its first AI employee.

Every marketing team has one person who knows where everything is. She knows why the lead form has a hidden field called “source_final_v2.” She knows which of the three CRM pipelines is the real one. She is the only person alive who remembers the password to the old webinar tool, and she is, frankly, underpaid.

That person does marketing operations, whether or not her title says so.

For years, marketing operations was the plumbing. Important, invisible and only noticed when it leaked. Now the plumbing is getting crowded. AI agents are drafting emails, scoring leads, pulling reports and updating the website, and every one of them needs access, instructions and someone to check its work.

Somewhere, a leadership team has concluded that this means fewer people are needed to run marketing. (In my experience it means the person who knows the passwords is now also managing a small fleet of robots, and nobody has told her yet.)

So it’s worth asking plainly: what is marketing operations in 2027, and who runs the system when part of the team is AI?

This guide covers what marketing operations is, what it owns, how AI changes the job, and how to set it up for a small B2B team.

What Is Marketing Operations?

Marketing operations is the part of marketing that makes the rest of it work. It owns the systems, data, processes and measurement behind every campaign, so the team can plan, launch, track and report without starting from scratch each time.

If strategy decides where marketing is going and the creative team makes the work, marketing operations builds and runs the road. In a small company, that might be one person a few hours a week. In a larger one, by contrast, it’s a team.

What Marketing Operations Owns

The scope varies by company, but most marketing operations roles cover five areas.

For a fuller view of where marketing operations sits among the other roles, our field guide to the types of marketing professionals walks through each one.

Why Marketing Operations Matters More With AI

AI agents are only as good as the system they plug into. An agent that writes follow-up emails needs clean contact data. One that reports on pipeline needs agreed definitions. And one that updates the website needs permission rules, so it can draft without publishing.

In other words, the things marketing operations has always owned (data, process, access, measurement) are exactly what AI needs to work. As a result, teams that skip that groundwork get faster mess: the same messy data, acted on at machine speed.

Therefore, marketing operations is the natural home for running the AI side of the team.

How the Job Changes in 2027

The work doesn’t disappear. Instead, it shifts from doing the tasks to designing and checking how they get done.

The common thread: marketing operations becomes the person who writes the rules, gives out the access and checks the output. The agents do more of the clicking.

Who Runs the System When Part of the Team Is AI

In the teams we work with, one person owns the marketing system end to end, and every AI agent that touches it reports to her. That person can be a dedicated marketing operations manager, or the head of marketing in a very small team. Still, what matters is that the role is named.

Her job, week to week:

• Assigns the work. Decides what each agent works on, based on the plan.
• Writes the instructions. Each agent has a short written job description: what it does, what it needs, what it can’t do.
• Controls access. Each agent gets only the access its job needs. Most can read and draft. Publishing and sending stay with a person.
• Checks the output. Reviews a sample of every agent’s work each week, and checks reports against their source.
• Turns mistakes into rules. When an agent gets something wrong, she fixes the draft and adds a line to its instructions so it doesn’t happen again.

We describe the full set-up in our guide to marketing team structure for 2027, including who reports to whom.

Skills a Marketing Operations Manager Needs Now

The classic skills still apply: knowing the CRM inside out, building clean processes, reading data. Three more have become essential.

Writing Clear Instructions

An agent works from what it’s told. The ability to write a short, precise brief, with examples of good and bad output, is now a core operations skill.

Spotting Wrong Output Fast

AI makes mistakes confidently. A good operations lead can scan a report or a list and see the number that doesn’t fit before it reaches the CEO.

Thinking in Permissions

Who can read, who can draft, who can publish. As the number of agents grows, this becomes one of the most important decisions in the department, and one of the easiest to get wrong.

Setting Up Marketing Operations in a Small B2B Team

You don’t need a big team to run marketing operations well. Here is a simple starting point.

1. Name the Owner

One person owns the system. In a team of one or two, that’s usually the head of marketing, with a few hours a week set aside for it.

2. Write Down the Definitions

What counts as a lead, a qualified lead and a customer. Where each lead source is tagged. Otherwise, every report is an argument. Our guide to MQL vs. SQL covers the lead definitions.

3. Fix the Data Before Adding Agents

Remove duplicates, tag lead sources and agree the stages. It’s the least exciting week of the year, and it makes everything after it work.

4. Map the Access

For every tool and every agent, write down whether it reads, drafts or publishes. Keep publishing with a person.

5. Automate the Weekly Report First

The weekly numbers are the easiest, safest first job for an AI agent, because every number can be checked against its source. Our guide to B2B marketing KPIs lists which numbers to include.

6. Review Every Month

Once a month, look at what the agents did, what went wrong, what rules changed, and which tools nobody used. Cancel the unused ones. Someone has to.

Frequently Asked Questions

What is marketing operations?

Marketing operations is the part of marketing that owns the systems, data, processes and measurement behind every campaign. It makes sure the team can plan, launch, track and report reliably, and connects marketing’s work to sales and revenue.

What does a marketing operations manager do?

A marketing operations manager runs the marketing tools and CRM, keeps the data clean, sets up the processes campaigns follow, builds the reports and dashboards, and manages the tool budget. In teams that use AI agents, she also assigns their work, controls their access and checks their output.

How is AI changing marketing operations?

AI agents now handle many repetitive operations tasks, such as building reports, cleaning data and setting up campaigns. The marketing operations role shifts toward writing the rules agents follow, deciding what each agent can access, and checking their work.

Does a small marketing team need marketing operations?

Yes, even if it isn’t a full-time role. A small team needs one named owner for the CRM, the data definitions, the reports and the access rules, especially before adding AI agents.

What is the difference between marketing operations and revenue operations?

Marketing operations focuses on marketing’s systems, data and measurement. Revenue operations covers marketing, sales and customer success together, with shared data and processes across the whole path to revenue. Many small companies combine both in one role.

The Passwords, Revisited

The person who knows where everything is still runs the system in 2027. The difference is that now it’s in writing: the definitions, the access map, the rules each agent follows.

That makes her job easier to explain, easier to hand over, and much harder to replace.

She should probably get a raise. And someone should finally delete “source_final_v2.”

Not sure your marketing system is ready for AI agents? The free AI-Readiness Self-Audit shows where you stand.

Every January, a marketing team somewhere writes 23 objectives on a whiteboard. By February, nobody can remember objective 14. By March, the whiteboard is being used for the office fantasy football league, and the quarter is being run the way it always was: by whoever shouted last.

OKRs were supposed to fix that. Done well, they do. A short list of goals, a few numbers that prove you got there, and a team that knows what to say no to.

Done badly, they are a to-do list wearing a blazer.

And lately there’s a new twist. Your CEO has read that AI can “run the OKR process,” so the expectation is that the objectives will now write themselves, the key results will track themselves, and you will spend the saved hours (all 40 of them) on strategy. (I’d love to see the calendar where that happened.)

Truth is, AI can help a lot with OKRs. It can pull the numbers, draft the first version and flag the key result that’s sliding. What it can’t do is decide what matters this quarter. That part is still yours, and it’s the part that makes marketing OKRs work.

This guide explains what marketing OKRs are, how to write them, nine examples for B2B teams, and the mistakes to avoid.

What Are Marketing OKRs?

OKR stands for Objectives and Key Results. An objective is what you want to achieve, written in plain words. Key results, meanwhile, are the two to four numbers that prove you achieved it.

For a marketing team, OKRs turn “we want more pipeline” into a goal the whole team can work toward, check every week, and report on without arguing about what counts.

A simple example:

• Objective: Make our website a real source of sales conversations.
• First key result: Google clicks grow from 40 to 140 per four weeks.
• Second: Website form fills grow from 5 to 12 per quarter.
• Third: 6 sales calls booked from website leads.

The objective says where you’re going. The key results say how you’ll know you got there.

OKRs vs. KPIs: What’s the Difference?

KPIs and OKRs get mixed up all the time, partly because a KPI can become a key result. The difference is in the job each one does.

In short, KPIs are the dashboard and OKRs are the destination. If you want the dashboard side in more detail, our guide to B2B marketing KPIs covers which ones a CEO actually needs.

How to Set Marketing OKRs in Six Steps

1. Start From the Company’s Goals

Marketing OKRs sit under the company’s goals, not next to them. Before writing anything, find out what the business needs this quarter: more pipeline in a new region, more revenue from existing customers, a launch that has to land. Then ask which part of that marketing owns.

If the company has no written goals, write down what the CEO said in the last two leadership meetings. That’s usually the real plan anyway.

2. Write One to Three Objectives

An objective should be short, plain and a little ambitious. Moreover, it should describe an outcome, not an activity. “Publish 60 blogs” is an activity. “Become the site B2B buyers find when they search for our category” is an outcome.

So keep it to three objectives at most. Teams with five objectives usually have zero priorities.

3. Give Each Objective Two to Four Key Results

Each key result has a starting number, a target and a date. For example, “improve SEO” is not a key result. “Searches where we show on Google’s first page grow from 232 to 315 by December 31” is.

A useful test: could someone outside marketing read the key result and agree, on the last day of the quarter, whether you hit it? If not, rewrite it.

4. List the Work Under Each Objective

The work (campaigns, blogs, the new landing page) goes underneath as initiatives. They are how you plan to move the key results, so they can change mid-quarter if they aren’t working. The key results stay put.

Many teams skip this split, and as a result their OKRs fill up with tasks. Keeping the work separate is what lets you say “this campaign isn’t moving the number, let’s change it” without rewriting the goal.

5. Agree Them With Sales and Leadership

Marketing OKRs that sales has never seen are a private diary. Walk your CEO and head of sales through them before the quarter starts, especially any key result that depends on them: lead follow-up times, the definition of a qualified lead, budget.

6. Check Them Every Week, Score Them Every Quarter

Each week, update the numbers and ask one question per key result: on track, at risk or off track? Then, at the end of the quarter, score each key result from 0 to 1. A score around 0.7 on an ambitious key result is a good quarter. A team that scores 1.0 on everything set its targets too low.

Marketing OKR Examples for B2B Teams

Here are nine marketing OKR examples, grouped by the three goals most B2B teams have. Swap in your own starting numbers.

Website and Search

Objective: Make the website a reliable source of new buyers.

• Google clicks grow from 40 to 140 per four weeks.
• Pages fixed for search grow from 26 to 50.
• 5 of 7 target searches show the website on Google’s first two pages.

Demand and Pipeline

Objective: Fill the pipeline with buyers who match our ideal customer.

• 120 people join the funnel (quiz, audit or contact form).
• 40 of them come from our target region.
• 6 sales calls booked from marketing-sourced leads.

Brand and Audience

Objective: Become the voice our buyers follow on LinkedIn.

• Newsletter subscribers grow from 156 to 400.
• Company page followers grow by 300.
• 39 posts published across the company page and the founder’s profile.

Marketing Operations OKR Examples

Marketing operations OKRs are a small search on their own, and a useful one, because they cover the systems everyone else depends on.

Objective: Make our numbers something leadership trusts.

• Every lead in the CRM tagged with its source, from 60% to 100%.
• Weekly marketing report sent every Monday, 13 of 13 weeks.
• Analytics connected to the CRM by October 31.

Where AI Helps With OKRs, and Where It Doesn’t

AI is genuinely useful through the OKR cycle. Still, the split matters, because the parts it can’t do are the parts that decide whether the OKRs mean anything.

In our own team, AI pulls the Search Console and CRM numbers each week and checks each one against its source. Then a person reads the five-minute version and decides what moves. Overall, that split saves hours without handing over the judgment.

Common Mistakes With Marketing OKRs

Writing Tasks as Key Results

“Launch the new website” is a task. “Website form fills double after launch” is a key result. If you can complete it by doing the work, regardless of the outcome, it’s a task.

Too Many Objectives

Every objective you add takes attention from the others. Three is the ceiling. One is fine.

Key Results Nobody Can Measure Yet

If the tracking doesn’t exist, the first key result is to build it. Otherwise you’ll reach the end of the quarter with a target and no number.

Setting Them and Forgetting Them

OKRs that are only opened at quarter end are a report card, not a plan. Therefore, the weekly check is the part that actually changes behavior. It takes ten minutes.

Measuring Marketing Alone

If a key result depends on sales following up, say so, and agree it with sales. Shared key results are the honest way to measure the handoff. Our guide to MQL vs. SQL covers how to define it.

A Simple Marketing OKR Template

Copy this into a doc or spreadsheet and fill it in for next quarter.

If you’d rather start from a full plan, the one-page marketing plan puts the OKRs, the audience and the budget on a single page.

Frequently Asked Questions

What are OKRs in marketing?

OKRs in marketing are a goal-setting method: one to three objectives for the quarter, each with two to four key results that prove you reached it. They connect marketing’s work to the company’s goals and give the team a short list to focus on.

How many OKRs should a marketing team have?

One to three objectives per quarter, each with two to four key results. More than that and the team loses focus, because every objective competes for the same people and budget.

What is a good marketing OKR example?

Objective: make the website a reliable source of new buyers. Key results: Google clicks grow from 40 to 140 per four weeks, website form fills grow from 5 to 12 a quarter, and 6 sales calls are booked from website leads.

What is the difference between OKRs and KPIs in marketing?

KPIs are numbers you watch all the time to check the health of your marketing, like cost per lead. OKRs are goals for a set period, with key results that say how far a number should move and by when. A KPI can become a key result when you decide to change it.

Can AI write marketing OKRs?

AI can draft OKRs from your plan, pull the starting numbers and track progress every week. A person still has to choose the objectives, agree them with sales and leadership, and decide what to change when a key result slides.

Back to the Whiteboard

Twenty-three objectives was never a plan. It was a list of everything everyone wanted, written in dry-erase marker so nobody had to commit.

Three objectives, ten numbers and a ten-minute check every Monday will do more. Let the AI update the numbers. You decide what they’re for.

And the fantasy football league can keep the whiteboard.

Not sure your team is set up to run OKRs with AI in the loop? The free AI-Readiness Self-Audit shows where you stand.

Every year we write this list, and every year it gets harder to keep short.

2026 was the year AI stopped being an experiment in most marketing teams and became part of the daily work. It was also the year a lot of teams discovered that producing more did not mean getting further. The resources that earned a place on this list are the ones that helped us think more clearly.

Below is what we actually read, listened to and used this year, plus the handful of lessons from our own marketing that we are carrying into next year.

What changed in B2B marketing this year

Before the list, a short honest look at the year.

AI moved from the side of the desk to the center of it. Drafting, research, reporting and list building now take minutes. As a result, the bottleneck moved. It is no longer production. It is judgment: deciding what to say, to whom, and what to stop doing.

Buyers also changed how they research. More of them now ask AI tools for recommendations before they ever visit a website. Meanwhile, much of the real persuasion still happens in private, in team chats and forwarded emails that no analytics tool can see. We wrote about that in our guide to dark social.

Finally, cold outreach got harder. Inboxes filled with AI-written sequences that all sound alike. So the teams that did well were the ones buyers already recognized before the first message arrived.

What we learned running our own marketing

We use our own methods on ourselves first. Here is what this year taught us.

Write the thinking down before you automate anything

We rebuilt our website in four days with AI. The speed was not the interesting part. The interesting part was that it only worked because our positioning, audience and voice were already written down in detail. We wrote up the whole process in how we built our website in 4 days with AI.

The pages Google already shows are the fastest win

This year we looked at which of our pages appear in Google’s results but rarely get clicked. Rewriting how those pages read in search results, the title and the short description underneath, is some of the fastest work available to any B2B site. It needs no new content, just a clearer promise.

Old content is an asset, not a liability

We refreshed about twenty older blog posts this year. Several had solid rankings but outdated advice. As a result, updating them was faster than writing new ones, and it protected traffic we had already earned.

Every AI tool needs a human owner

We run much of our marketing on Claude. The lesson that stuck: when an output is wrong, fix the written rule that produced it, not just the output. We explain how in Claude for marketing.

The best B2B marketing books we read

Obviously Awesome, by April Dunford

The clearest practical book on positioning we know. It walks through how to decide what market you compete in and why a buyer should care. If your sales team and your website describe the company differently, start here.

Measure What Matters, by John Doerr

The book that made OKRs mainstream. We plan all of our marketing, and our clients’ marketing, in quarterly objectives and measurable key results. This book explains why that structure works and where teams usually misuse it.

Co-Intelligence, by Ethan Mollick

A grounded, readable take on working alongside AI. In particular, Mollick avoids both hype and panic. For marketing leaders trying to decide what AI should and should not do in their team, it is a sensible place to begin.

Play Bigger, by Al Ramadan, Dave Peterson, Christopher Lochhead and Kevin Maney

The case for category design: defining the problem you solve so clearly that the market starts to use your language. Useful for any company that feels it is being compared on the wrong terms.

The best marketing newsletters in our inbox

These are the ones we still open, week after week.

• Why We Buy by Katelyn Bourgoin. A free weekly newsletter on buyer psychology. Each issue takes one quirk of how people decide and shows what it means for your marketing. Because it is short, you can read it before your first meeting, and it is often funny.
• Lenny’s Newsletter by Lenny Rachitsky. Product and growth, but much of it applies directly to B2B marketing. The pieces on how AI-native companies work were among the most useful we read all year.
• Marketing Dive. A fast daily summary of what is happening across the industry. Good for context, even when the examples are consumer brands.

The best marketing podcasts we listened to

• Women in B2B Marketing, hosted by Jane Serra. Conversations with women who lead B2B marketing, from their first manager job to the CMO seat. It is honest about the career and also specific about the work: account-based marketing, data and building a team.
• Marketing Trends, hosted by Stephanie Postles. Interviews with CMOs and founders. This year many episodes dealt with AI directly, for example planning cycles that shrank from years to weeks, and what changes when software does part of the buying.
• On with Kara Swisher. Not a marketing podcast. Still, it earned its place: Kara Swisher interviews the people running tech, media and business, and she asks the questions their PR teams hoped she would skip. It is good context on the companies behind the AI tools marketers now use every day.
• Marketing Against the Grain, hosted by Kipp Bodnar and Kieran Flanagan. Two marketing leaders testing new ideas, with a lot of attention on AI in practice.
• Lenny’s Podcast. Long-form interviews with operators. In particular, the episodes on growth and positioning are worth a marketer’s time.

The marketing tools we actually used

We keep our stack small. These are the tools that did real work this year.

• Claude. Our main AI tool for research, drafting, auditing and building. Projects hold our brand files, and Claude Code runs our website and publishing work.
• HubSpot. CRM, email and the connection between marketing activity and sales conversations.
• Google Search Console. Free, and still the most honest view of how Google sees your site.
• SEMrush. Keyword research and competitor visibility.
• Canva. Fast, on-brand visuals for social and the blog.

For a wider comparison of AI tools specifically, see our guide to the best AI marketing tools for B2B.

Our most useful guides from this year

If you only read a few of our pieces from 2026, make it these.

• The One-Page Marketing Plan. The simplest structure we know for a plan people actually use.
• How to Create an Ideal Customer Profile. The foundation everything else depends on.
• AI Marketing Strategy. Why most B2B teams get AI backwards, and how to write the strategy on one page.
• Will Marketing Be Replaced by AI? What the marketing team looks like now.
• B2B Marketing Budget. A step-by-step way to plan next year’s spend.

What we are taking into next year

1. Narrative first. Every tool works better when the message is written down and agreed.
2. Plans measured by execution, not activity. Three to five quarterly goals, each with a number.
3. Fix what already exists. Refresh strong old pages before writing new ones.
4. Write for the forward. Content good enough that someone shares it privately with their boss.
5. An owner for every AI agent. Someone who reads the output and updates the rules.

Frequently asked questions

What are the best B2B marketing resources?

The most useful mix is a small set of books for lasting thinking, a few newsletters for current practice, a podcast or two for perspective, and tools you actually use every week. Our 2026 picks include Obviously Awesome, Measure What Matters, Why We Buy, Lenny’s Newsletter, Women in B2B Marketing and Google Search Console.

What are the best marketing podcasts for B2B?

For B2B marketers specifically, Women in B2B Marketing and Marketing Against the Grain are both strong. Marketing Trends is good for hearing how CMOs plan around AI. Lenny’s Podcast is broader, focused on product and growth, but many episodes apply directly to B2B marketing.

What are the best marketing books to read this year?

For positioning, start with Obviously Awesome by April Dunford. Measure What Matters by John Doerr is the one for planning and measurement. On working with AI, read Co-Intelligence by Ethan Mollick. And for category thinking, Play Bigger.

Which marketing newsletters are worth subscribing to?

We open Why We Buy, Lenny’s Newsletter and Marketing Dive. Pick two or three that match your role and read them properly, rather than subscribing to twenty and skimming them all.

What free marketing tools should every B2B company use?

Google Search Console is the most valuable free tool for most B2B websites. It shows which searches bring people to your site, which pages Google shows, and where people see you but do not click.

We promised ourselves a shorter list this year.

We will promise it again next year.