How to evaluate if your first marketing hire is working

Quick answer

Evaluate a first marketing hire in stages. During the first month, look closely at the quality of the diagnosis, customer learning, prioritisation, communication and the decisions being made about what to preserve, stop or build. By months two and three, those decisions should start turning into live work, better systems, clearer ownership and evidence from the market.

Commercial outcomes matter, but the timeline has to match the business. A company selling six-figure enterprise contracts should not judge month-three performance using the same lagging indicators as a high-volume self-serve product.

A fair evaluation therefore asks three questions:

1. Is the marketer making better decisions as they learn?
2. Is the marketing function becoming easier to operate, measure and scale?
3. Is that improved function beginning to influence the commercial outcomes that matter for this business?

It should also ask whether the company gave the marketer a mandate in which good performance was realistically possible.

This framework is informed by Founding Marketer and adjacent 0→1 marketing role requirements alongside practitioner experience. The 30/60/90 lens is an editorial evaluation model rather than an industry benchmark.

The broader performance-management principle is also consistent with CIPD guidance on performance management: evaluation should reflect the organisation’s context and priorities, operate as a continuous cycle, and use regular feedback rather than depend on an isolated appraisal event.

Why the first marketing hire is difficult to evaluate

Early marketing rarely starts with a clean baseline.

The person may inherit incomplete attribution, no consistent reporting, years of founder knowledge that was never documented, agencies running disconnected activities, a junior marketer without senior direction, mixed-quality historical campaigns and very little reliable data showing what “good” should look like.

That creates two common founder reactions.

One is to micromanage activity because the business outcomes are not visible yet. How many posts? How many campaigns? How many leads this week?

The other is to give weak performance too much time because “marketing takes time.”

Neither is especially useful. The better question is whether the marketer is improving the quality of the system and producing evidence that the company can use to make better commercial decisions.

Separate function health from business outcomes

A first marketer is often improving the underlying capability before lagging outcomes have enough time to move.

That does not mean process should replace performance. It means you need to understand the chain between the two.

A simplified version looks like this:

The first links should improve before the last one becomes visible.

For example, a cleaner ICP, stronger proof and better sales feedback loops may improve the quality of target-account responses before revenue changes. Better attribution may initially reveal that a supposedly strong channel is weaker than the company believed. Stopping that channel can be a good marketing decision even if the short-term activity numbers decline.

This is why evaluating the first hire only through output volume or closed revenue can misdiagnose what is actually happening.

What I would evaluate in the first 30 days

If the marketer is solving a broad 0→1 problem, I would not expect a mature pipeline engine four weeks after they arrive. I would expect them to understand the operating environment much better than they did on day one.

Customer and sales understanding

Are they close to customers, sales calls, objections, wins and losses? A first marketer who stays entirely inside analytics dashboards or internal meetings is missing one of the most important sources of early-stage marketing evidence.

Quality of diagnosis

Can they explain what is currently working, what is assumption and which problems deserve attention first?

The diagnosis should become more specific as they learn. “We need better marketing” is not a diagnosis. Neither is a 70-page audit that avoids making choices.

Prioritisation

Can they name what the team should not work on yet?

The backlog will almost always contain more legitimate ideas than the available capacity can support. A senior hire should reduce that ambiguity rather than inherit all of it.

Inheritance judgment

Do they understand what should be preserved as well as what should change?

A Founding Marketer may inherit useful founder-led distribution, a capable freelancer, a functioning channel, customer data or a simple tool setup that is already good enough. Rebuilding everything is not evidence of seniority.

Measurement awareness

Do they understand which data can be trusted and where the gaps are?

They do not need a perfect attribution system in month one. They should know where measurement limitations affect the confidence of current decisions.

Communication

Can the founder see what the marketer is learning, changing and deliberately postponing?

A lot of early marketing work is initially invisible. Good communication is part of the job, particularly before lagging commercial metrics have had time to move.

What would concern me at 30 days

Major channel or website commitments made without much contact with customers or sales when the starting context was unclear would concern me. So would a giant list of opportunities with no hierarchy, tool changes becoming the dominant project before the operating problem is understood, or little ability to explain what the company has learned since the marketer joined.

I would also question a marketer who has started replacing existing people, systems or channels before understanding whether they are actually part of the problem.

What I would evaluate around 60 days

By month two, diagnosis should be producing visible consequences.

Exactly what appears depends on the constraint. A positioning problem might result in clearer messaging being tested on the website and in sales conversations. A demand problem might produce a focused acquisition experiment. A measurement problem may require CRM and attribution work. An enterprise sales motion may need proof, case studies and objection handling before a new channel becomes the priority.

Across those scenarios, I would look for several recurring signals.

The work is leaving internal documents

Research and strategy are becoming live assets, workflows, experiments, briefs or operating changes.

The sequence makes sense

The marketer can explain why this work is happening before the rest of the backlog and what evidence would cause them to change direction.

Weak work is being stopped

Good prioritisation should reduce some activity, not simply add more.

The company is beginning to learn faster

Sales feedback comes back into messaging. Experiment results affect the next decision. Reporting starts to answer real questions. Customer evidence becomes reusable instead of disappearing into transcripts or Slack.

Capacity is being allocated more deliberately

The marketer should start recognising which work needs their direct attention, what can become a reusable workflow, where a specialist would create more leverage and which activities no longer justify capacity.

A useful evaluation question at this stage is: are the things being built appropriate to the actual constraint, and are they creating better decisions or useful market evidence?

What I would evaluate around 90 days

By the end of the first quarter, I would expect a more coherent operating system and enough external feedback to make the next quarter easier to decide.

Useful evidence may include stronger message response or conversion, a credible early channel signal, more qualified responses from outbound or content, sales assets being actively used, reliable basic reporting, an experiment log with interpretable outcomes, explicit decisions to stop weak initiatives, a next-quarter plan grounded in what has actually been learned, and less founder dependency in routine marketing decisions.

I would also expect the marketer to have a clearer view of where capacity should come from next. Some work may remain directly senior-owned. Some may move into workflows, templates, automation, specialists or another internal hire. A first marketer who remains the manual owner of every recurring task is not necessarily building leverage, even if the output looks busy.

A numeric result is valuable when the business cycle makes one realistic. It should not become an arbitrary day-90 requirement.

For a long enterprise cycle, qualified pipeline progression, stronger target-account response, improved qualification or a message that sales can now use consistently may be the strongest available evidence. In a shorter, high-volume motion, conversion, activation and acquisition metrics may reasonably move much sooner.

Leading indicators, operating indicators and lagging indicators

I find three layers more useful than a simple leading-versus-lagging split.

Leading indicators: is the thinking improving?

These tell you whether the marketer is learning and making better decisions:

• Quality of customer and sales research
• Sharper prioritisation
• Better diagnosis of the constraint
• Clearer assumptions and decision criteria
• Faster feedback from live work
• The ability to explain why priorities changed

Operating indicators: is the function becoming stronger?

These show whether marketing is becoming more reliable and less dependent on improvisation:

• Better measurement and reporting
• Reusable customer evidence
• Stronger sales and product feedback loops
• Clearer ownership
• Useful documentation and workflows
• Repeated requests becoming reusable systems
• Better specialist or agency briefs
• Less founder dependency in routine decisions
• Work consistently reaching the market

Lagging indicators: is the function influencing business outcomes?

These matter once enough time and data exist:

• Qualified pipeline
• Revenue contribution
• Opportunity or deal progression
• Acquisition cost or cost per opportunity
• Channel conversion
• Organic demand growth
• Activation, retention or lifecycle outcomes when those sit within the role

Sales cycle, ACV, existing brand demand, traffic baseline, buying process and the chosen channels all affect when these metrics become meaningful. Generic SaaS benchmark tables are poor pass/fail scorecards for an individual first marketer.

Evaluate the environment as well

Some performance problems belong to the hire. Others come from the way the role was designed.

Founder-side red flags

• Expectations change every few weeks without a corresponding change in company strategy.
• The founder asks for ownership but retains every meaningful decision.
• The marketer has limited access to customers, sales calls, product context or data.
• Low-priority requests repeatedly override agreed priorities.
• The company hired a broad generalist when the actual need was a deep specialist.
• There is not enough budget, authority or execution capacity to run the mandate that was sold during hiring.
• The company expects commercial accountability while keeping sales, product or pricing information inaccessible.

These conditions do not excuse weak performance indefinitely. They do make diagnosis important before deciding the marketer is the problem.

Red flags in the marketer's performance

Strategic

• They cannot explain the main business or marketing constraint.
• Every channel remains equally urgent.
• Priorities change frequently without new evidence.
• Vanity metrics dominate updates without connection to business outcomes.
• They optimise activity without questioning whether the underlying ICP, positioning or offer is strong enough.

Behavioural

• They avoid customers and sales conversations.
• Progress is difficult to understand because reporting is inconsistent or absent.
• They cannot say no to low-value requests.
• Failed experiments disappear rather than producing documented learning.
• They treat commercial outcomes as someone else's concern even when the role is expected to influence them.

Execution and systems

• Internal analysis continues for a long period without anything reaching the market and without a clear reason.
• The person relies on specialists for every practical task despite joining a hands-on mandate.
• Basic measurement never becomes usable enough to support decisions.
• Repeated execution problems are explained but not corrected.
• Recurring work stays permanently manual even after the process is understood.
• AI, automation or tooling activity grows without making the function more reliable or easier to operate.

A simple scorecard

I would evaluate seven dimensions and attach concrete examples to each rather than manufacturing a precise total score.

1. Customer and market learning: are decisions increasingly grounded in real evidence?
2. Prioritisation and judgment: are the right problems receiving attention, and are low-value activities being stopped?
3. Execution: does important work move from thinking into the market?
4. Measurement and systems: is the function becoming easier to understand, operate and improve?
5. Commercial contribution: is marketing beginning to influence the business outcome it was hired to support, at a pace appropriate to the sales cycle?
6. Cross-functional collaboration: are sales, product and founders contributing to and benefiting from the system?
7. Leverage and transfer of ownership: is marketing becoming less dependent on founder intervention and less dependent on the Founding Marketer personally executing every recurring task?

The value of the scorecard is the conversation it creates. If it turns into a decimal grade with no evidence behind it, it has become less useful.

Do not evaluate outcomes the role does not own

One of the easiest ways to create a bad performance conversation is to hold the marketer accountable for an outcome while leaving the important levers elsewhere.

For example, marketing may support qualified pipeline while sales owns opportunity progression and closing. A marketer may improve target quality while pricing or product limitations still affect conversion. In a PLG motion, marketing may influence activation but not control onboarding or product retention.

That does not mean marketing should hide behind attribution complexity. It means the scorecard should distinguish between ownership, influence and dependency.

A good evaluation asks:

• What outcome was this role hired to influence or own?
• Which parts of that outcome are actually under the marketer's control?
• Which dependencies sit with sales, product, pricing or leadership?
• Is the marketer surfacing and working those dependencies rather than ignoring them?

That creates a more useful standard than either “marketing owns revenue” or “marketing is only responsible for leads.”

How to have the performance conversation

Use specific observations.

“We have shipped less than I expected” is difficult to act on. “We agreed the new sales proof page would go live by the end of the month; it has moved twice because the customer evidence was not ready” gives both sides something concrete to discuss.

I would work through five things:

1. What has been observed?
2. What is causing it?
3. Is the constraint skill, prioritisation, mandate, dependency or company environment?
4. What needs to change next?
5. What authority, information, specialist capacity or other resources are required to make that change possible?

This protects both sides from a vague conversation where the founder says marketing “doesn't feel like it's working” and the marketer responds with a long list of activity.

FAQ

Research note

The evaluation dimensions are informed by Founding Marketer and adjacent 0→1 marketing role requirements alongside practitioner experience. Timelines, scorecards and outcome expectations are editorial frameworks and should be interpreted in the context of the company's starting maturity, mandate and sales motion.