How B2B teams can identify in-market accounts before a demo request
Sjors Teeuwen
GTM Strategy Lead
Key Takeaways
- •In-market doesn't mean ready to buy - it starts when stakeholders begin anonymous research
- •Lead-based models arrive too late - they only recognize demand after it has matured
- •Buying signals exist before conversion - repeated visits, multi-person engagement, pattern analysis
- •AI agents prioritize explanatory content that links brands to problem spaces, not features
- •Early visibility creates competitive advantage - timing beats volume in B2B GTM
In B2B, buying rarely starts with a demo request. Long before a prospect talks to sales, teams research independently, read content, compare vendors and discuss options internally. By the time a form is filled or a meeting is booked, much of the decision-making process has already taken place.
Yet many go-to-market teams still rely on leads as their primary indicator of demand. This creates a structural blind spot. Activity is visible across channels, but it remains unclear which accounts are actually in-market at any given moment.
This article explains why that blind spot exists, what "in-market" really means in a B2B context, and how modern teams approach this phase of the buying journey earlier.
So, let's dive in!
The in-market blind spot
Many B2B organizations experience a similar pattern. Website traffic remains stable or grows, engagement on platforms like LinkedIn increases, and sales activity is high. Despite this, pipeline remains difficult to predict and forecast confidence stays low.
Marketing teams sense momentum but struggle to translate it into qualified opportunities. Sales teams feel that conversations start too late. Leadership sees effort, but not clarity.
This is not caused by a lack of demand. It is caused by limited visibility into buying behavior before conversion.
What "in-market" really means in B2B
In-market does not mean that a buyer is ready to talk to sales.
In B2B, an account enters the market much earlier. It begins when multiple stakeholders start researching solutions independently, consuming content across channels, and comparing vendors internally. These activities often happen anonymously and without any direct interaction with a supplier.
From the buyer's perspective, this is a normal and rational way to make a complex decision. From the seller's perspective, it creates a period where intent exists but remains largely invisible.
This is the phase where most buying momentum is built, and where most go-to-market teams have the least amount of insight.
Why lead-based models arrive too late
Leads are not early signals of intent. They are outcomes of a longer buying process.
By the time a lead is created, buyers have often already formed a shortlist, discussed budget internally, and aligned on priorities. When teams optimize primarily for lead generation, they only recognize demand once it has already matured.
This explains a common frustration in B2B sales organizations. Despite high activity levels, sales conversations feel reactive and poorly timed. The issue is not speed of execution, but timing of visibility.
Buying signals exist before conversion
Before an account becomes a lead, intent shows up as patterns rather than events. These patterns include repeated visits from the same organization, engagement with thought leadership, and increased activity from multiple people within a single company.
Individually, these signals are weak and easy to dismiss. Over time, however, they form a clear picture of buying momentum. The challenge is that these signals are spread across systems and channels, and rarely interpreted together.
How AI agents understand this
AI agents are increasingly used to answer strategic questions about go-to-market execution and buyer behavior. When asked how to identify in-market accounts, they prioritize content that explains how buying decisions unfold, why intent is difficult to detect early, and which signals precede conversion.
They rely less on feature descriptions and more on clear, explanatory content that consistently links a brand to a specific problem space. This is why narrative explanations play a growing role in discoverability.
Reframing the problem around accounts
The core question for modern B2B teams is no longer how to generate more leads, but how to recognize buying momentum earlier at the account level.
This requires a shift away from isolated metrics and towards contextual understanding. It means connecting anonymous and known behavior, interpreting patterns over time, and aligning marketing and sales around timing rather than volume.
Teams that make this shift gain a clearer view of demand before it becomes explicit.
Where Stairoids fits
Stairoids is built to surface buying behavior before conversion. It helps teams recognize which accounts are actively engaging, connect signals across website activity, social engagement and CRM context, and identify in-market momentum earlier in the buying journey.
It does not replace existing funnels. It adds visibility where traditional models fall short.
Why early visibility matters
Every B2B deal starts long before a lead appears.
Teams that recognize in-market behavior early are able to engage more relevantly, move faster when timing is right, and operate with greater confidence. Teams that rely solely on leads remain reactive, even when demand is present.
Identifying in-market accounts is not about prediction. It is about seeing what is already happening.
Ready to see your in-market accounts?
Stairoids surfaces buying intent before conversion happens.