From Funnel Friction to Strategic Growth

What separates SaaS companies that scale with clarity from the ones churning through tactics without traction? It usually isn't the product. It's how carefully they listen, learn, and layer strategy at each stage of growth.

On a recent episode of the SaaS Stories podcast, I spoke with Tony Yang, Head of Growth at Mucker Capital and founder of Rev Optica. Tony has two decades of experience growing B2B SaaS businesses from pre-product startups through to enterprise-scale operations, and the conversation was refreshingly free of growth hacks.

Listen to the full episode of SaaS Stories with Tony Yang

Here's what stayed with me, and how it applies to your go-to-market.

Know your audience better than they know themselves

Every workable go-to-market strategy starts with a clear ideal customer profile — and Tony's point is that a job title isn't one. You need to know what your audience cares about, what keeps them awake, and where your product genuinely fits into that.

Early-stage founders default to generic outbound that reaches for features far too quickly. Tony suggests something softer: frame the first approach as seeking feedback.

"People are more altruistic with their time if you make them feel like the expert. Ask for feedback, not a sale."

That single reframe turns a cold pitch into collaborative validation, and it builds relationships that survive the first no. It also produces better information than a sales call ever will, because someone giving you advice tells you what is actually wrong with your positioning, while someone being sold to just tells you they are not interested right now.

Message–market fit comes before product–market fit

Everyone talks about product–market fit. Tony offers something sharper and considerably more testable — message–market fit. Can your value proposition land with your audience before they ever touch the product?

If engagement and replies are weak, that's rarely a volume problem, though volume is the lever most teams reach for first because it is the easiest one to pull. It's a positioning mismatch. Adjust the language, target the pain more directly, personalise by role and industry, and you'll find what's actually sticky.

The useful thing about message–market fit is that it is testable in days rather than quarters. You do not need to build anything to find out whether your value proposition lands, which makes it the cheapest de-risking available to an early company.

Use outbound for message testing, not just lead generation. It remains the cheapest and fastest way to validate resonance at scale.

Product-led growth isn't freemium

PLG is among the most misused terms in SaaS. Offering a free trial is not a product-led growth strategy.

Real PLG means designing your product to deliver value early, consistently and repeatedly. That means identifying your product's aha moment — the point where someone stops evaluating and starts relying on it — then building journeys that get people there fast, and supporting them along the way with onboarding, nudges, tutorials or actual humans.

Most teams that think they have a PLG motion have never explicitly defined that moment, which means nobody is optimising toward it. The free trial exists, the signups arrive, and the product is left to sell itself to people who have not yet seen it work.

And it isn't only for self-serve tools and SMB. Tony has applied product-led strategies in enterprise settings through pilot programs and hybrid models.

"PLG is about helping different personas realise value. Whether it's a self-serve user or an enterprise buyer."

Don't fill the funnel, fix it

The biggest go-to-market mistake Tony sees is teams pouring effort into acquisition while ignoring everything downstream.

In demand generation, that looks like marketing chasing MQLs without nurture or qualification alignment, which produces the oldest argument in B2B about lead quality. In PLG it looks like traffic driven to signups with no investment in activation, retention or referral, which produces a leaky funnel and predictable churn.

Align the funnel to the buyer journey instead. Optimise for value realisation, usage, retention and advocacy rather than signups and demos.

The metric you report is the metric your team optimises, and a team measured on demos booked will book demos with people who were never going to buy. That is not a motivation problem. It is a measurement one, and it is fixed at the top rather than in the sales meeting.

Demand creation versus demand capture

This distinction is worth internalising. Demand capture targets people already in-market who know the problem and are shopping for solutions, and product-led messaging or feature-focused ads work well there. Demand creation builds awareness among people who haven't yet prioritised the problem, and it needs empathy, education and urgency rather than a product pitch.

Most SaaS companies default to capture far too early. In B2B, especially at higher price points, decision journeys run long, and creating demand through thought leadership and value-first content produces deeper engagement and better-fit deals.

Where ABM helps, and what it demands

Account-based marketing is a strategic shift rather than a trend, but Tony's warning is worth repeating: ABM doesn't create sales and marketing alignment. It requires it.

To make it work you need jointly defined target accounts, clear roles for sales and marketing at every stage, unified data and visibility in your CRM, and a shared definition of success. You don't need expensive tooling on day one — the core of ABM runs on mindset and collaboration, personalised outreach, tailored content and cross-functional planning.

Is it right for early-stage companies? Tony's answer depends on your total addressable market and deal size. A niche, well-defined market — public universities in North America, say — rewards ABM early, because focus is the whole point. A broad or transactional market, like a $200-a-month tool for tradespeople, is better served by one-to-many demand generation.

Use AI with a purpose

Tony is clear-eyed about generative AI. Don't use it for its own sake; use it to support workflows like improving writing, summarising interviews or accelerating research. It shouldn't replace creativity or expertise, because content still needs a perspective rather than a paraphrase.

"If your brand is about thought leadership, don't rely on LLMs trained on generic web content. It won't differentiate you."

Don't skip the build

Asked what excites him most, Tony didn't say funding or exits. He said building — solving real pain points through iterative development and user feedback.

That mindset of testing, validating and evolving is what separates the SaaS founders who last. Bootstrapped or venture-backed, sustainable growth comes from depth rather than speed.

If you take one thing into next quarter, make it message–market fit. It's the cheapest test on this list and it tells you whether everything downstream is worth building.

Three fixes that actually work

Three things that unblock growth

01. Test message-market fit before product-market fit

Can your value proposition land before anyone touches the product? Weak replies are rarely a volume problem, though volume is the easiest lever to pull. It is a positioning mismatch, and it is testable in days rather than quarters without building anything.

02. Define your aha moment explicitly

Most teams who think they have a product-led motion have never named the point where someone stops evaluating and starts relying on the product. Nobody can optimise toward a moment nobody has defined, so the free trial just quietly fails to sell itself.

03. Report the metric you want optimised

A team measured on demos booked will book demos with people who were never going to buy. That is a measurement problem rather than a motivation one, and it is fixed at the top. Optimise for value realisation, usage, retention and advocacy instead.

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