How to 'test' your messaging to find Message-Market Fit
+ 7 actionable tactics to quickly test your messaging
Hey - itβs Alex, this time together with Gab Bujold!
Today, we cover how to test your messaging to find message-market fit and ultimately product-market fit.
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Chasing product-market fit when you donβt even have messaging that resonates with your ICP is the wrong approach for many early-stage startups.
By skipping messaging validation, youβll end up paying for it in churn, CAC, and missed sales later.
In this episode, weβll cover:
What is Messaging and Message-Market-Fit
How to build your messaging
How to test your messaging
Rewriting your homepage every quarter, when you donβt have the right core messaging in place, wonβt solve your problem. Why?
Because you're not iterating - you're guessing what could be relevant to your prospects.
Every single promotion, email, and communication to your prospects will always feel sub-optimal without knowing the performance of your messaging.
You canβt achieve repeatable revenue if you sound like everyone else in your market. Prospects need to know why they should choose you over others.
What is Message-Market Fit (MMF) and the Difference to Product Market Fit?
Product Market Fit (PMF) is the broader goal for most SaaS founders:
β Building a product that people truly want and will pay for.
Previously, weβve looked at the definition of PMF as:
Product Market Fit = Problem Solution Fit + Go-to Market Fit
So messaging belongs to the βGTM Fitβ part of the equation.
Once youβve validated your solution to the problem, you can use your messaging to communicate that value proposition to prospects.
You canβt properly achieve PMF without getting to message-market fit.
That way, you can define Message-Market-Fit as:
β a sub-component, precursor, or enabler of PMF.
β part of βGTM-fitβ
so your messaging:
β immediately clicks with your ideal buyers: Users immediately βget itβ: Why this product matters and why itβs for them.
β clearly articulating your value, uniqueness, and perspective
β so that they feel understood, take notice, and
β want to engage with you over other options in the market.
Another way to define Message-Market Fit:
Alignment between your messaging and how your target market perceives and understands the value of your product.
Thatβs why messaging is one of the core GTM Foundations.
However, to find message-market fit, you need to test your messaging.
Itβs something you need to keep iterating over multiple times, like pricing; itβs never truly over.
P.S. Want to go deeper into message-market fit? Then check out:
Clay wrote an article on testing message market fit with outbound
Message-market fit book written by Jonathan Hoffsuemmer.
What does it look like when youβve reached MMF
New concepts are fun, but they need to be trackable, not just theoretical.
But how do you know if you hit message-market fit?
With message-market fit, you will see:
β Your messaging resonates (qualitative feedback)
Example:
You: βWe are X for Y - but unlike other tools, we focus on Zβ
and your ICP says: βOh, that makes sense. Iβve needed something like that.β
βWe are like Hubspot for Startups, but unlike other CRM, we focus on being the next gen of CRM, no more months of setup, ready in minutesβ - Attio, the next gen of CRM
β High response rates on outbound
β High(er) click-through rate on homepage/landing pages / ads
Or you can do a gut test by asking:
βAre we getting more demos from our dream customers - and do they already get the value before we explain it?β
β If yes β you're hitting MMF.
β If no β test new variants.
Weβll cover that later in how to test properly.
How to build your messaging foundation/framework
To achieve message-market fit, you first need to ensure that your messaging evolves in line with your audience.
The best way to do that is by building your messaging foundation.
Check out The Ultimate SaaS messaging framework.
At a minimum, you should have the following 7 elements figured out for your messaging to test it.
1οΈβ£ Product Category: The market context or space your product competes in and how you define it.
β Check out product vs. usecase positioning
2οΈβ£ JTBD (Jobs to Be Done): The key tasks or goals your customers are trying to accomplish when they choose your solution.
3οΈβ£ POV (Points of View): Belief-led statements that frame how you see the problem and why your approach is uniquely right.
4οΈβ£ Objections: Common doubts or concerns your audience may have that need to be addressed to build trust.
5οΈβ£ Signals: Observable pain signals or situations that indicate a customer might need your product.
6οΈβ£ Benefits: The specific, tangible improvements or outcomes users get from your features.
7οΈβ£ Capabilities & Features: The productβs capabilities or components that enable the promised value.
One way to structure these messaging components is the messaging pyramid.
The pyramid structure reflects a strategic-to-tactical hierarchy, where:
The ones on top are led by strategy, while the ones at the bottom are led by products.
Once itβs built, you can remix the layers across content, sales, and marketing.
πΊ Top of the Pyramid β Strategy-Led
These layers shape narrative, positioning, and market fit. They're foundational and abstract, driven by customer insights, beliefs, and strategic direction.
π» Bottom of the Pyramid β Product-Led
These layers are executional and tangible, often rooted in how your product works and the specific outcomes it delivers.
Quick reminder that messaging isnβt copy
Messaging: The main points you want to say to your customers. It's the translation of your positioning into something your ideal customer gets, believes, and wants to act on.
Copy: Copy is HOW you communicate it. It's the exact words.
8 steps to test your messaging
For early-stage GTM teams, messaging is often either:
β Untested (βwe wrote a landing page and hoped it worksβ), or
π Over-optimized at the surface level (button tests, headline swaps)
But if you want to hit Message-Market Fit, you need a structured, lightweight testing loop before you pour fuel (budget, hires, or campaigns) on the fire.
Thereβs a method, which Gab calls ABCD, the alphabet of a test infrastructure.
It will help you to think about the core elements of message testing: Audience, Budget, Context, and Destination.
1. Draw a clear hypothesis (and know why you're testing) and objective
Every messaging test should start with a clear reason.
Are leads dropping off before demos?
Are people misunderstanding what you do?
Are you expanding into a new segment?
Frame a hypothesis around your messaging test.
For example:
βWe believe reframing our value around reducing onboarding friction will resonate more with RevOps leaders in mid-market SaaS, and increase demo conversion by 20%.β
β This isnβt a guessing game.
Youβre setting the expectation for what should improve if the messaging lands.
We recommend setting uplift objectives.
Examples of uplift objectives:
β Boost SQL conversion rates by 15-20% β YES, measurable within 2 weeks.
β Shorten sales cycle duration by 20% β β NO, takes longer than 2 weeks.
β Increase average deal size by 25% β β NO, requires a full sales cycle.
β Improve win rate by clearly differentiating from competitors β YES, if linked to sales call feedback within 2 weeks.
2. Choose your Audience & Channels based on Context
The goal is to ensure youβre testing
β with the right ICP segment,
β on the right channels,
β to get enough traffic (e.g. ~300 visits) to achieve practical significance.
Messaging tests arenβt just for landing pages.
Run your messaging tests on the channels you are already running. This can be email outbound, LinkedIn outbound, social ads, search ads etc.
Some of the best signal comes from outbound (cold email, LinkedIn DMs, cold calls).
Here are channels you can think about:
β Outbound (Email & LinkedIn & Cold Calls)
β Social Ads (LinkedIn, Facebook)
β Organic Content (LinkedIn posts)
Itβs relevant that you test your different messaging variants in the right context.
So the different messaging variants need to be:
β adapted to the channel where you use them (e.g. Social ad copy vs. LinkedIn DM copy)
β The micro copies (DM, Website headline, Ad copyβ¦) need to reflect the messaging variant
3. Choose different messaging angles
Test 2β3 meaningfully different messaging angles against each other.
Focus on what youβre emphasizing:
Are you framing the problem differently?
Are you highlighting a new benefit?
Are you repositioning the product for a different buyer?
Below you find 3 messaging variants: Each variant focuses on a different angle.
We recommend having a dedicated place to track what message youβre using, where, and whatβs changing.
This could be:
Microcopy variations shared with your new sales hire
A Notion doc that tracks which variant is live on which cold email sequence
A CRM field or tagging system that marks which leads came through which message
Messaging tests fall apart when you forget which message version generated which lead. Keep it simple and structured, so your teamβs not flying blind.
4. Define your Testing Budget
Allocate enough funds to get meaningful data and validate uplift objectives within the testing time frame (Gab recommends tests over two weeks).
Letβs assume we have the following 2-Week Test Objectives:
Increase SQL conversion rates by 15-20% (measurable via CRM)
Improve win rate by reducing objections related to differentiation (measurable via sales call analysis).
Ask yourself this question:
βDoes the uplift in leads and potential revenue exceed at least 3x your testing budget?β
β If yes:
Good! Just make sure you have enough to achieve your uplift objectives.
β If no:
Increase your testing budget to match or exceed the 3x on potential revenue.
β Example:
Youβre a SaaS startup with β¬500K ARR and a β¬ 1500 monthly contract value. Youβre expecting a 20% uplift in conversion rate with a new messaging hypothesis.
If there are 150 leads generated per month, and 40% of them are ICP-qualified, we have 60 great-fit leads. If you're closing 8 out of 60 leads (13.3%), a 20% uplift brings you to 16%, now you're closing 10 deals instead of 8.
That's 2 extra customers from the same leads or β¬3,000 (2x 1500) more monthly revenue without spending more.
In that specific case, the testing budget would be β¬1,000 to run the messaging testing.
5. Respect the qualified lead threshold
You donβt need hundreds of leads to validate messaging, but you do need enough right-fit conversations to spot patterns.
Aim for at least 8β12 qualified ICP leads per variant before jumping to conclusions. Anything below that risks false positives.
Why 8? Thatβs the lowest point where the early signal becomes somewhat stable β itβs not statistically significant, but itβs practically helpful.
Below that, patterns are too noisy to trust.
In our example, with 60 ICP leads this month, you can split them evenly:
β 30 leads for βemotionβ, 30 leads for βurgencyβ
Perfect. Youβre above the threshold. β
Run both variants until you get at least 12 qualified leads.
In your case, that means about 2 weeks, since you generate ~60 ICP leads/month.
6. Analyze results to identify winning messaging variants
Analyzing the results to find the winning messaging variants doesnβt require you to be a data scientist.
After the test, hereβs what to compare between the two variants:
β How many ICP leads became SQLs or demos?
β How many converted to closed deals?
β Did one variant outperform the other by ~15% or more?
Winning variants are:
1οΈβ£ Start with volume:
β Did one message generate more qualified leads than the other?
β Was the difference meaningful (15β20% or more)?
β Did it do that without inflating unqualified junk?
2οΈβ£ Then look at velocity:
β Did one variant move leads through the funnel faster?
β Did it shorten the time from first touch β demo β close?
β Did it create momentum, not just clicks?
Our Example:
If both variants brought in 30 leads, but Variant A (emotion) led to 5 demos and 3 closed deals β while Variant B (urgency) stalled at the demo stage β you have your answer.
If the "emotion" variant gets you 5 closed deals and "urgency" gets 3, thatβs a 66% improvement β itβs a clear signal to double down on the "emotion" angle.
P.S.If you decide to set up a dedicated landing page for each messaging variant, you can analyze the user behaviour on the page, like Scroll Depth, Session Replays, CTA Clicks, and Heatmaps. (How to analyze web behavior with Microsoft Clarity)
7. Debrief with sales and look for repeatable patterns
After the test, donβt just look at the numbers.
Sit down with your sales team (usually your first sales hire) and ask:
Which message got people talking?
Were there fewer objections?
Did any prospects echo your phrasing back to you?
Did one message lead to bigger or faster deals?
This is where the qualitative signal becomes a strategic direction. If one variant repeatedly brings in better-fit leads who convert faster and βget itβ sooner, youβre onto something.
8. Apply winning messaging on your GTM
Double down, refine, and start baking that language into all your customer-facing GTM assets, including your website, sales deck, LinkedIn profiles, a well as your GTM execution, like LinkedIn Ads, Google Ad, or Outbound.
7 Tactics to test your messaging
While we were working on this newsletter episode, we discovered Emma Stratton sharing five very actionable tactics to test your messaging.
Tactic 1: βWould my customer seriously ever say that?β test
β Think about your customer and read your copy line by line. Ask yourself: βWould my customer ever say that?β
Tactic 2: βIs it jargon?β test
β Ask yourself if the word/phrase is: meaningful to your audience + universally understood + credibility booster.
If your words donβt mark all 3, replace them with a better alternative to make your message clear, easy to understand, and memorable.
Tactic 3: βHow short should this be?β test
β You want your message to only include as many words as you need to be understood.
But always prefer a clear message over a vague message (even if it means more words).
Tactic 4: βGeneral or specific messagingβ test
β The right βaltitudeβ of your messaging depends on your audience and how much they already know about your product and use case.
Do they already have a solution like yours? Or never considered something like this? Whatβs their stage of awareness?
Generally speaking:
β The less they are aware, the wider and more generic your messaging should be.
β The more they already know, the deeper and more specific your messaging needs to be.
Tactic 5: βIs this even credible?β test
β Customers become more and more skeptical and disbelieve your words. Review your messaging and spot words that sound overpromising, are too much hype, unrealistic, or not measurable (we all know them: βTransformβ, βrevolutionizeβ βsuccess guaranteeβ...)
And we will add 2 more.
Tactic 6: βCan you spot ICP and product category/use case in your homepage hero section?β test
β If you read the hero section of your website, do you mention specifically βwho this is for? (aka. your ICP)β and βwhat is it? (aka. product category or use case).
Feel free to check out the Homepage template & homepage copywriting templates.
Tactic 7: βDoes this survive the elevatorβ test
β Imagine you have 20 seconds to explain what your product does to a distracted stranger.
If your message can't be understood in that window, itβs too complicated.
Simplify until itβs crisp, quick, and clear.
Thatβs it for today.
Hopefully, by now, you know how to come up with the right messaging for your SaaS and how to test different iterations until you get Message-Market Fit.
If you want, you can find more techniques in Gabβs newsletter: the messaging sherpa.
Happy growth π
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