The 30/60/90-Day Content Marketing Plan for Content Leaders in 2026

Starting a new content role means going from a standing start to real impact, fast. You’re meeting a new team, marketing a new product, and often learning a new industry… usually while leadership is already asking what you’ll ship 🫠

A 30/60/90-day plan gives that ramp some shape. It’s a simple sequence—learn, then build, then experiment—that keeps you from skipping straight to output before you understand the company you just joined.

We talked to marketing leaders who’ve run these plans across different company stages: Cari Murray, director of marketing at Marvin, Margaux Morgante, communications lead at Kudos; and Madhav Bhandari, former head of marketing at Bonsai (now absolutely crushing it at Storylane). Their advice on how to learn a company, audit its content, and earn trust runs through everything below.

In this guide, you’ll learn how to:

• Build real knowledge about your team, product, and market in your first month
• Audit existing content and set up systems that keep auditing themselves
• Run small experiments that prove your value before the 90 days are up

What matters for content leaders in 2026

A few forces shape how you should spend your first 90 days right now:

AI is in the middle of your team’s workflow, whether you set it up or not. In Content Marketing Institute’s research, content marketers were among the highest-adopting functions in all of marketing for generative AI. By the time you arrive, your team is already drafting blog posts, video scripts, and audio with it. Your first job isn’t to introduce AI. It’s to find out how it’s being used, what it’s producing, and whether anyone is checking the output.

The content audit is an ongoing job, not a one-time project. Run it closer to continuously, and include a question that rankings alone don’t answer: are you showing up when someone asks ChatGPT or Google’s AI Overviews about your category? Traditional search positions still matter, but they’re no longer the whole story.

You’re expected to build systems, not just a plan. The output that earns its keep is a set of reusable assets—clear briefs, a documented voice, a single source of truth for messaging—that your team and your AI tools both work from. More on that below.

If you're looking for help shaping your content plan, book a call with the Campfire Labs' strategy team

Days 1–30: Learn

Your first month is a listening tour. Resist the urge to ship something flashy in week two, because you’ll probably end up redoing the work once you understand the company and the content team’s constraints.

Talk to people before you touch the content

Content is cross-functional by nature, and it’s rarely just writing anymore. You publish blog posts, but you also produce video, podcasts, and audio, and you support sales with briefs, decks, and the occasional executive LinkedIn post. All of it depends on relationships you don’t have on Day 1.

Start booking 1:1s before your official start date if you can. Cari recommends a rough order of priority:

• Marketing leadership first. Your VP or CMO controls budget and can veto campaigns. Find out what’s working, what gaps they expect you to fill, and what success looks like to them.
• Sales and marketing peers. You’ll need their support to get anything done. Build the relationships before you need the favors.
• Product, then customer-facing teams. Developers, PMs, support reps, and CS managers know why customers buy, why they leave, and what they ask over and over. As Cari puts it: “Ask what made them come to your company. Why do they use your product? What gaps do they see in our marketing and messaging?”

Listen to real sales and support calls

Sales reps spend all day hearing prospects describe their problems in their own words. That’s the best audience research you’ll ever get, and it’s usually sitting untouched in a call-recording tool.

Ask sales leadership whether they use Gong, Outreach, or something similar. If they do, you have a library of real conversations to learn from.

You don’t have to listen to forty calls one at a time. Feed the transcripts through an AI tool and pull the patterns: the phrases prospects repeat, the objections that keep surfacing, the exact words people use for their problems. That language becomes the raw material for your messaging and your keyword research.

That said, don’t let the summary replace the listening entirely. The detail that becomes your best piece of content is often the offhand line a model smooths over. Use AI to find the patterns, then go listen to the calls where those patterns showed up.

And keep doing it. “The customers you talk to in month one will be different from those in a year,” says Madhav Bhandari. “The best thing you can do is keep listening to customer calls.”

Run a few empathy interviews

Call recordings are one-sided—you’re never in the conversation. Empathy interviews fix that. They’re structured conversations designed to get to the root of a customer’s problem, including the emotional parts people don’t usually volunteer.

This is work AI can’t do for you, and that’s exactly why it earns a place in your first month. A real conversation where you can follow a surprising answer is still the highest-resolution research available. The Techstars Entrepreneur’s Toolkit has a solid framework if you’ve never run one.

Turn what you’ve learned into a source of truth

Your final job in month one is to turn all that listening into something durable. Cari calls it a messaging framework. In practice, build it as a set of living documents your whole team (and every AI tool they use) can reference.

Cover the basics:

• Worldview and positioning. How you see the market, and why you’re the right answer for a specific customer need.
• Audience and pain points. Your ICP, personas, and the real challenges behind them. Go past surface descriptions.
• Company descriptions and differentiators. Approved boilerplate, plus the features and benefits only you offer.

When your team generates drafts with a model, the quality of the output depends almost entirely on the quality of the inputs. A vague messaging doc produces vague content at scale. A sharp one, with a documented writing voice and three or four reference articles that show what “good” looks like, gives every writer and every tool the same starting point.

“Messaging is fluid and therefore never final,” Cari says. “Your message should change as you learn from the buyer.” Treat these files the same way. Review them every quarter.

Campfire Labs provides support on audiovisual content strategy and creation, as well as longform editorial. Book a call now.

Days 30–60: Build

You’ve listened. Now you build the foundation: a clear read on the content you’ve inherited, and goals tied to the business.

Audit what you inherited

You might walk into a mature content operation, an empty CMS, or something in between. If there’s content to audit, start here.

Pull a full inventory, including every asset, with its traffic, conversions, and backlinks. The mechanics are fast now; the analysis is what matters. For each piece, make a call:

• Refresh. Content that once performed and has slipped. Update the claims, add expert input, rebuild the data.
• Expand. Outlying winners to double down on with hubs or supporting pieces.
• Remove. Assets that don’t perform and can’t be saved. Cutting weak content lifts the quality signal of everything that’s left.

Add AI search visibility to your audit objectives. Check whether your content gets cited when someone asks an LLM about your category, not just where it ranks in Google. The two don’t always move together, and the gap is where a lot of 2026 opportunity lies. We wrote a full guide on how to show up in ChatGPT, Claude, and other LLMs if you want to go deeper.

The point of the audit is a short list of decisions you can defend to your boss in month two.

Tie content goals to revenue

Goal-setting is hard when you’re new and short on context. Instead of guessing, work backward from the company’s revenue target with your sales and finance counterparts. Cari’s math is simple:

1. Growth goal. Set the revenue target.
2. Deals. Divide it by your average contract value.
3. Opportunities. Multiply required deals by your win rate.
4. Leads. Multiply opportunities by your conversion rate.

Say you need $100,000 in net new business a month at a $10,000 ACV and a 50% win rate. That’s 10 closed deals, 20 opportunities, and 40 sales-ready leads. Now you have a number your content has to influence, and a way to talk about your work in the language your CFO already uses.

Top-of-funnel metrics like traffic and engagement still matter for the long game. They’re just not the headline anymore.

Track acquisition in a zero-click world

Set expectations on measurement early, because this can get complicated quickly. The B2B buying journey is messy and getting messier. Buyers research in private—Slack groups, communities, review sites—and a growing share of discovery now happens inside search results and AI assistants that send no click at all. 

In SparkToro’s analysis, fewer than one in three Google searches still sends a visitor to the open web, and in the US only about 360 of every 1,000 searches result in a click to a non-Google site.

So a real share of the impact your content has will never show up in your analytics. Someone reads a LinkedIn testimonial, asks ChatGPT for alternatives, sees your brand cited in an AI answer, and signs up directly. None of that leaves a clean trail.

You’ll still want an attribution model to attempt an answer, and each makes a different tradeoff:

• First or last interaction. Simple, and badly skewed toward one touchpoint.
• Linear. Equal credit across every touchpoint.
• Time-decay. More credit to recent interactions.
• Position-based. Weights the first and last touch most heavily.

Pair whichever model you choose with self-reported “how did you hear about us” data, which has quietly become one of the more reliable signals available, precisely because so much of the journey is now invisible to tracking.

Days 60–90: Experiment

Foundation set, you can start testing. This is where you show what your version of the content program looks like (yay, the fun part!)

Map your funnel and find the gaps

Few stages of the buyer’s journey happen without content. Demand gen needs thought leadership. Lifecycle needs nurture content. Sales can’t close without case studies. The common failure is over-investing in the funnel stage you personally know best and starving the rest.

When Margaux Morgante took over communications at Kudos, she drew the funnel and placed every existing asset in its stage. The gaps were obvious once they were on the page. “I could see if one category was getting more attention than another,” she says. She spent a month building an onboarding guide with the customer team, then moved to top-of-funnel. Do the same exercise. The picture tells you where to spend.

Build a content center of excellence

No content team has the capacity to produce everything. Try, and you’ll spend your days fielding requests for sales emails, one-pagers, and video scripts while your own priorities slip.

When Hannah Cameron ran content at Affinity, she reframed her team as a center of excellence: instead of making everything herself, she trained other departments and gave them lightweight guidelines.

This matters more than it used to. Everyone in your company can generate a passable blog draft, a rough video script, or an AI voiceover in seconds. What they can’t generate is your editorial judgment: the standards, the voice, the sense of what deserves to be published. “Teams that gatekeep the writing of content do nothing for their organizations,” Hannah says. “Empower others, and focus on your larger goals.”

Launch a couple of real experiments

With the basics working, run small proof-of-concept campaigns. Test a new format—a video series, a podcast, a different content type entirely—or a new theme, or a new audience inside your buying committee. Keep them small enough to fail cheaply and specific enough to learn something. If you’re deciding what to test, look at how the teams pulling ahead right now are running two contradictory strategies at once before you commit. And distribution is where most experiments live or die, which has only gotten harder.

Wait, aren’t 30/60/90 plans passé in 2026?

Emily Kramer of MKT1 (who we are super fans of) has argued that the 30/60/90 plan makes a poor interview assignment, because it asks for inside knowledge a candidate doesn’t have and rewards polish over thinking. She has a point, and it extends past hiring. A beautifully formatted 90-day deck can become a way to look busy while avoiding the harder work of shipping something.

We agree with Emily insofar as saying that value was never the fancy-formatted document, and certainly not for an interview assignment. It’s the process once you're in the job (learn, then build, then experiment) and the discipline of not skipping the learning. This is also why you can’t AI-your way to a perfect first 90 days; you have to do the hard work of mentally engaging with the company and its content yourself.

And your ramp may not be exactly 90 days. How much calendar time you actually get depends on the company’s stage, as Madhav points out. At enterprise scale, 90 days to plan and prove is realistic. At an early-stage startup, that’s “a luxurious timeline.” Younger companies often want the whole arc compressed into 30 days: learn, build, and experiment before your first month is out. Build the plan either way, but be ready to run it faster than the name suggests.

If you do one thing before building anything, do this: in your first week, listen to ten real customer calls and write down the exact phrases people use to describe their problem. Not your paraphrase, just their words about the problem your company purports to solve.

Everything else in your plan gets sharper after that: your messaging, your audit priorities, your first experiment. The tools change every year, and they’ll keep changing. The work of actually understanding the customer doesn’t, and that’s still the part that makes the difference.

Campfire Labs works with B2B SaaS companies on content strategy and execution. Contact us if you want to work together.