For most growth-stage SaaS companies, attention is overwhelmingly directed toward the top of the funnel.
The logic is straightforward. Without new customers, there is no company, and the pressure to generate pipeline and close deals becomes the organizing force behind nearly every decision.
What receives far less scrutiny is what happens after the deal closes, and more specifically, whether the conditions for retention were established in the first place.
“Retention starts with the go-to-market process,” said Jason Roberts on the SaaS Backwards Podcast, who has spent years leading operational transformations across B2B SaaS organizations. “The sales and marketing motion is a key part of what drives through to retention.”
That framing shifts the problem upstream.
By the time retention issues begin to show up in renewal data, the underlying causes have already taken hold, often across multiple cohorts of customers who moved through the same system.
What appears to be a downstream issue is usually the result of decisions made much earlier—during positioning, qualification, and the way expectations were set during the sale.
Growth Masks the Problem—Until It Doesn’t
In early stages, companies operate with a degree of flexibility that would not hold at scale.
Processes are incomplete, roles are fluid, and teams compensate for gaps through effort rather than structure. Products continue to evolve, sometimes being sold ahead of their full capabilities, while onboarding is managed through a combination of planning and improvisation. None of this is unusual, and for a time, it can even appear effective.
The problem is that growth conceals the cost.
“When all the attention is on attracting new customers, the existing customers… can be in a challenging situation,” Roberts said.
Those challenges rarely present themselves as a single failure. They emerge as patterns—clients repeating the same information across teams, onboarding experiences that vary widely, or an overreliance on a small number of individuals who hold the context for how things actually work.
Individually, these are treated as operational issues.
Collectively, they describe a system that is not aligned around the customer.
The Question That Gets Lost
At the center of that misalignment is a question that is both fundamental and frequently overlooked:
Why did the customer buy?
It should be addressed during the sales process, but as the deal progresses, the emphasis shifts toward standardization—categorizing the opportunity, defining scope, and translating the customer’s needs into terms that can be documented and tracked.
In that translation, something is lost.
“Too often this understanding is lost somewhere between positioning our product and contract details,” Roberts said, noting that what remains is rarely a clear articulation of the customer’s expectations.
The result is not the absence of information, but the loss of meaning. The customer’s definition of success becomes fragmented, interpreted differently across teams, and increasingly difficult to reference as decisions are made.
From that point forward, the organization is no longer operating from a shared understanding.
It is operating from assumptions.
Where the Breakdown Occurs
The consequences of that shift become most visible in the transition from sales to delivery.
As organizations scale, more people and processes are introduced, each adding distance between the original conversation and the execution of the work. Decision-makers who were deeply involved in the purchase step back, while new stakeholders are brought in to manage implementation and day-to-day use.
Without a consistent understanding of what the customer is trying to achieve, that distance creates divergence.
“What can be lost is… alignment on what success actually looks like,” Roberts said.
Customers proceed with one set of expectations, while teams deliver against another. Progress becomes harder to measure, timelines become less predictable, and the experience begins to feel disjointed.
At the same time, the customer is managing their own internal constraints, and “they’re the ones that have to live with it,” said Roberts.
What was framed as a solution quickly becomes additional work, and without alignment, that burden compounds.
Time to Value Is Where It Becomes Visible
The impact of this misalignment is most clearly reflected in time to value.
While full implementation timelines can vary, what matters is not when deployment is complete, but when the customer begins to experience meaningful progress toward the outcome they expected.
“That metric allows us to define how long it takes before they start to see value,” Roberts said.
It requires a shared understanding of priorities, ownership, and what success looks like in practical terms. When those elements are not established with precision, timelines extend in ways that are difficult to diagnose.
The system may be live, but the customer is not yet able to use it effectively. And as that gap widens, so does the risk.
Change Management as a Requirement
Underlying this dynamic is a factor that is often underestimated: change management.
There is a persistent assumption in SaaS that adoption will follow deployment. In practice, adoption requires deliberate effort, both from the vendor and the customer.
“Change management is… critical for ongoing success,” Roberts said.
Customers must understand why the change matters, want to make it, and develop the ability to operate within a new framework. Without that progression, they revert to previous behaviors, even when the new system is objectively better.
Roberts points to the ADKAR framework—awareness, desire, knowledge, ability, and reinforcement—as a way to think about that progression, not as a rigid methodology, but as a reminder that adoption unfolds over time and requires reinforcement to sustain.
When that process is not accounted for, timelines slip, value is delayed, and confidence erodes.
Why Companies Wait Too Long to Fix It
The problem persists because it does not present itself in a way that demands immediate attention.
“You may not see some of the revenue leakage until a renewal cycle or two,” Roberts said.
By the time churn becomes visible, the underlying issues are already embedded across multiple customer cohorts. What appears to be a sudden drop in retention is often the result of a system that has been misaligned for some time.
The signals were there, but they were fragmented.
They appear in onboarding friction, in inconsistent adoption, and in feedback that is collected but not connected to the original expectations set during the sale. Most companies attempt to measure their way out of this using tool like NPS or CSAT, but those signals are inherently limited.
“The person that did the NPS may just be the day-to-day admin… not the decision maker,” Roberts said.
What is missing is continuity.
There is no consistent thread connecting what was promised to what is being delivered, and without that connection, it becomes difficult to diagnose where the system is breaking down.
The Shift
The adjustment required is not a new function or a new set of tools, but a more disciplined use of information that already exists within the organization.
The customer’s reason for buying—what problem they intended to solve and how they define success—must be treated as a central input, not something captured and forgotten after the deal closes.
“It should be a living piece of information… part of the relationship going forward,” Roberts said.
When that definition of success remains intact, teams are able to make consistent decisions about priorities, timelines, and tradeoffs because they are working from the same understanding. When it is lost, each function operates on its own interpretation, and the system begins to drift.
Retention, in that context, is not something that can be fixed at renewal.
It is determined by how accurately the organization delivers on what it represented at the beginning.
Over time, the difference between those two approaches compounds—not through more activity, but through a tighter connection between what is promised and what is delivered.





