Selling SaaS: Why Your GTM Model Is Working Against You

Selling SaaS is not just a different sales motion. It is a fundamentally different commercial model, and most go-to-market strategies fail because they are built on assumptions borrowed from industries where the economics do not apply. The product is never truly sold once. It is re-sold every month, every quarter, every renewal cycle.

That changes everything about how you acquire customers, how you price, how you structure your team, and what marketing is actually supposed to do.

Why SaaS GTM Strategy Is Different From Everything Else

I spent the early part of my career managing performance marketing across a wide range of sectors. Retail, financial services, travel, FMCG. The mental model was consistent: spend money to acquire a customer, close the transaction, move on. Even in categories with repeat purchase, the unit economics were relatively forgiving. You acquired someone once and they bought again or they did not.

SaaS breaks that model completely. The acquisition cost is often front-loaded and significant. The revenue is distributed across months or years. And the customer can leave after month one. That means the commercial logic of your GTM is not just about getting customers in. It is about getting the right customers in, at the right cost, with expectations that the product can actually meet.

When I moved into working with SaaS businesses, the first thing I noticed was how often the marketing team was optimising for volume of trials or sign-ups while the commercial team was quietly watching churn eat the business from underneath. Both teams were hitting their numbers. The business was going backwards.

That misalignment is not a personnel problem. It is a structural one. And it starts with how the GTM strategy is designed.

If you are building or refining a go-to-market approach for a SaaS business, the broader thinking on go-to-market and growth strategy is worth understanding as a foundation before you get into the specifics of the SaaS model.

The Demand Creation Problem Most SaaS Businesses Ignore

There is a pattern I kept seeing when I was judging the Effie Awards. The cases that struggled to demonstrate genuine business impact were often the ones that had optimised brilliantly for existing demand. Paid search, retargeting, high-intent keywords, bottom-of-funnel content. Everything was measurable. Everything looked efficient. And the business had quietly stopped growing.

Earlier in my career I made the same mistake. I overvalued lower-funnel performance. The numbers were clean, the attribution was tidy, and it felt like rigour. What I came to understand over time is that a significant portion of what performance marketing gets credited for was going to happen anyway. Someone who was already looking for your category, already comparing options, already close to a decision. You did not create that demand. You captured it.

That is fine as far as it goes. But it does not grow a market. It does not reach the person who does not yet know they have the problem your software solves. And in SaaS, where category creation is often as important as category capture, that gap becomes a ceiling.

Think about it like a clothes shop. Someone who walks in and tries something on is far more likely to buy than someone who just browses the window. But if you only ever optimise for the people already inside the shop, you eventually run out of people to convert. The growth is in getting more people through the door who did not plan to come in. That requires a different kind of marketing, one that creates latent demand rather than just harvesting active intent.

For SaaS businesses, this often means investing in category education, in thought leadership that reframes a problem the buyer did not know they had, and in brand that makes the product memorable before the buying cycle even starts. Growth case studies consistently show that the businesses with the most durable growth curves are the ones that expanded the addressable market, not just their share of it.

Positioning Is Where Most SaaS GTM Strategies Unravel

Positioning in SaaS is not a marketing exercise. It is a commercial decision with downstream consequences that touch pricing, sales, onboarding, and retention. Get it wrong and you will spend money acquiring customers who churn, write case studies that attract the wrong buyers, and build a sales team that closes deals the product cannot support.

I have seen this play out more than once. A SaaS business positions itself as an enterprise solution because the founder wants enterprise logos. The product is genuinely good for mid-market. The sales team, incentivised on deal size, pushes upmarket. Enterprise buyers have complex procurement requirements, long implementation timelines, and high expectations for customisation. The product does not deliver on those expectations. Churn follows. The business blames the product team. The product team blames sales. Marketing was never part of the conversation.

Positioning needs to be grounded in where the product actually delivers value, not where the founder wants to compete. That means being honest about the customer profile that churns and the customer profile that expands. It means building ideal customer profile criteria that include behavioural and firmographic signals from your best retained accounts, not just your largest ones.

BCG’s work on aligning brand strategy with go-to-market execution makes a point that is easy to underestimate: the organisations that grow consistently are the ones where positioning is treated as a shared commercial asset rather than a marketing department deliverable. That framing matters in SaaS more than almost anywhere else.

Freemium and Free Trials Are Not a Strategy. They Are a Mechanism.

There is a tendency in SaaS to treat freemium or free trial as a GTM strategy in itself. It is not. It is a conversion mechanism. And like any mechanism, it only works if the rest of the system around it is properly designed.

The question freemium is supposed to answer is: can we let the product do the selling? In some categories, yes. In others, the product requires context, onboarding, and use-case framing before it delivers value. Dropping someone into a free account and hoping they figure it out is not a growth strategy. It is optimism dressed as product-led growth.

When I have worked with businesses running free trial models, the conversion problem is almost never at the top of the funnel. Getting people to sign up for free is easy. The hard part is the activation moment: getting them to the point where they experience genuine value before the trial ends or before they lose interest. That activation moment is a marketing and product problem simultaneously, and it requires the two functions to work together in a way that most organisations do not structure for.

Video has become one of the more effective tools for closing that gap. Research from Vidyard on GTM pipeline points to the role of personalised video in improving conversion rates at key handoff points, which is consistent with what I have seen in practice. The trial user who gets a short, specific video showing them how to achieve their first outcome is in a meaningfully different position than the one who gets a generic welcome email sequence.

The broader point is that the conversion strategy for freemium or free trial models needs to be as carefully designed as the acquisition strategy. Most teams spend ten times more energy on the top of the funnel than on the moment that actually determines whether the acquisition was worth anything.

Pricing Architecture Is a GTM Lever, Not a Finance Decision

Pricing is one of the most powerful signals in any market. It communicates who the product is for, what category it belongs to, and what level of commitment the vendor is asking for. In SaaS, it also directly shapes the unit economics that determine whether the business is viable.

Most marketing teams are not involved in pricing decisions at all. That is a structural mistake. Pricing architecture, specifically how you tier the product, what you include at each tier, and where you draw the line between free and paid, is a positioning decision as much as a financial one. It determines which customers you attract, how they experience the product, and what expansion revenue looks like over time.

I have watched SaaS businesses price themselves out of their natural market by anchoring to a competitor with a different cost structure, different customer base, and different growth model. And I have watched others leave significant expansion revenue on the table because their pricing tiers did not reflect the value gradient their best customers were already experiencing.

The businesses that get pricing right treat it as a living part of the GTM strategy, revisiting it as the product matures, as the customer base evolves, and as the competitive landscape shifts. They also treat it as a cross-functional conversation where marketing has a seat at the table, not just finance and the CEO.

Sales and Marketing Alignment in SaaS Is a Revenue Problem, Not a Culture Problem

The sales and marketing alignment conversation has been going on for as long as I have been in the industry. It is usually framed as a communication problem or a culture problem. In SaaS, it is neither. It is a revenue problem with a structural cause.

The structural cause is this: marketing is typically measured on pipeline generation, sales is measured on closed revenue, and neither function is measured on what happens after the contract is signed. That means both teams can hit their targets while the business loses money on customer acquisition because retention is someone else’s problem.

In the agencies I ran, we had a version of this problem with client retention. New business was celebrated. Account growth was managed. But the moment a client left, it became a post-mortem exercise rather than a predictable risk that should have been visible months earlier. The same dynamic plays out in SaaS at scale, except the financial consequences are more severe because the revenue model depends on compounding retention.

The fix is not a better SLA between marketing and sales. It is restructuring the commercial accountability so that both functions share responsibility for revenue quality, not just revenue volume. That means marketing being involved in customer success conversations, sales being involved in positioning decisions, and both teams having visibility into retention data by cohort and acquisition channel.

BCG’s analysis of evolving go-to-market models in financial services is instructive here, even though the sector is different. The pattern of siloed commercial functions failing to share accountability for customer lifetime value is consistent across industries. SaaS just makes the consequences more visible because the economics are so transparent.

Content and SEO in SaaS: The Long Game That Most Teams Play Wrong

Content marketing in SaaS has become something of a religion. Publish enough, rank for enough keywords, build enough domain authority, and the leads will come. There is enough truth in that model to make it seductive and enough nuance missing from it to make it dangerous.

The problem is not the strategy. It is the execution. Most SaaS content programmes are built around keyword clusters that represent existing search demand. That is the same demand capture problem I described earlier, applied to organic search. You are fishing in a pond that already exists. You are not creating a new pond.

The SaaS businesses that build durable content programmes are the ones that use content to do two distinct jobs simultaneously. First, capture existing demand from buyers who are already in market. Second, create demand by educating buyers who do not yet know they have the problem. The second job requires different content, different distribution, and different success metrics. It also requires patience, which is in short supply in most growth-stage businesses.

Tools like SEMrush’s growth hacking toolkit can help identify gaps in existing demand capture. But the strategic question of what content to create to expand the market is one that no tool answers for you. That requires a genuine understanding of the buyer’s world, their unspoken problems, and the language they use before they start searching for a solution.

Forrester’s work on go-to-market struggles in complex B2B categories highlights a pattern that is relevant here: the businesses that fail to grow past a certain point are often the ones that invested heavily in reaching buyers who were already looking, while neglecting the larger population of buyers who were not yet aware they needed to look. The same pattern holds in SaaS.

The Metrics That Actually Matter When Selling SaaS

I have a bias toward honest approximation over false precision. In SaaS, there is no shortage of metrics. CAC, LTV, MRR, ARR, NRR, churn rate, expansion revenue, activation rate, time to value. All of them matter. None of them individually tells you whether your GTM strategy is working.

The metric that I find most revealing is net revenue retention, specifically by acquisition cohort and by channel. If you can see that customers acquired through a particular channel retain at a meaningfully higher rate than those acquired through another, you have a piece of information that should immediately change how you allocate budget. Most businesses cannot see this because their data infrastructure does not connect acquisition source to retention behaviour. That is a solvable problem, and solving it is worth more than almost any optimisation you could run on your paid campaigns.

The second metric that is consistently underused is time to value. How long does it take a new customer to reach the moment where they would genuinely miss the product if it disappeared? If you can measure that, and then work to shorten it, you have a direct line to improving both conversion from trial and early retention. That is a GTM problem, not a product problem. And it is one that marketing should own.

Growth hacking frameworks, like those documented at Crazy Egg, often focus on acquisition velocity. That is useful. But in SaaS, the businesses that compound fastest are the ones that improve retention and expansion alongside acquisition, not sequentially.

There is more thinking on how to build commercial discipline into growth strategy across different business models in the go-to-market and growth strategy hub, which covers the broader strategic context that SaaS-specific decisions sit within.

What a Commercially Grounded SaaS GTM Strategy Actually Looks Like

It starts with an honest assessment of where your product delivers genuine, repeatable value. Not where you want it to deliver value. Not where your largest logo sits. Where the data shows retention is highest, expansion is most common, and customers are most likely to refer others.

From that foundation, you build positioning that speaks directly to that customer profile, pricing that reflects the value they receive, and acquisition channels that reach more people who look like them. You design a conversion strategy that gets new users to the activation moment as quickly as possible. You measure retention by cohort and by channel. You use that data to sharpen every other decision.

And you invest, even modestly, in demand creation alongside demand capture. Because the market you can see is never the whole market. And the growth that comes from expanding what buyers believe is possible is the kind of growth that compounds over years, not quarters.

I was handed a whiteboard pen early in my career at a moment I was not ready for. The instinct was to put it down. The better instinct was to use it. GTM strategy in SaaS is similar. The moment you think you have the model figured out is usually the moment the market has moved. The businesses that grow are the ones that keep drawing on the board, even when it is uncomfortable.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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