GTM Intelligence for B2B Technology
You deploy code in minutes. You process payments in milliseconds. But your revenue engine runs on spreadsheets, intuition, and hope.
Invizar applies systematic intelligence to Go-To-Market. We identify which accounts are ready to buy, why they will buy, and when to engage. We replace guesswork with signal processing.
The Problem
Most companies target accounts by firmographics. They time outreach by calendar. They measure activity instead of velocity. They optimize channels instead of systems.
The result: sales teams chase accounts that will never close. Marketing generates leads that signal nothing. Growth requires ever-increasing spend because there is no compounding mechanism.
How We Read Markets
Our core asset is not deliverables. It is the systematic approach we use to identify when accounts are ready to buy. This methodology can be applied to assess individual accounts, scan entire markets, or design targeting systems.
We identify the events that indicate an account has entered a buying window. Technology displacement. Regulatory pressure. Leadership change. Geographic expansion. Competitive failure. These are signals. Job titles are noise.
We evaluate what is happening inside an account that modifies how they will evaluate options. Their constraints, their internal politics, their timing pressures. Two accounts with identical triggers may have entirely different readiness.
We determine when to engage and when to wait. Premature outreach burns accounts permanently. Late outreach loses deals to faster competitors. Timing is not intuition. It is pattern recognition applied to signals.
What We Deliver
Subscription-based market intelligence applying our methodology at scale. Vertical-specific signal reports. Trigger monitoring across defined account universes. Buying condition assessments delivered on a recurring basis. Current engagements fund the R&D.
Bounded engagements that answer concrete questions. Fixed scope. Fixed price. Typical duration: 2-4 weeks.
Rapid validation of a GTM hypothesis. Does your positioning resonate? What triggers are actually present in your target market?
Where does compounding potential exist in your current model? What would it take to install a system that feeds itself?
Why is your pipeline stuck? Account-level assessment of what is real, what is noise, and what is recoverable.
For select clients, we design and install complete GTM systems. Cluster ABM based on validated triggers. Growth loops that compound. Typical engagement: 3-6 months. We take this work selectively. Clients must demonstrate fit through a diagnostic engagement first.
Operating Principles
We target context, not demographics. What is happening inside an account determines whether they will buy. A "VP of Engineering" at a company replacing their data platform is a different prospect than a "VP of Engineering" in steady state.
A campaign is a one-time expenditure of effort. A system produces output that feeds back into input. We design systems. Campaigns are sometimes necessary to initialize them, but the goal is always the compounding mechanism.
We measure success by how quickly a client can validate or invalidate a market hypothesis. Not by how many leads we generate. The fastest learner wins. Speed of learning is the only sustainable advantage.
We build systems that clients eventually own. We do not create relationships where the client cannot function without us. Our goal is to install capability, then step back.
Client Fit
Contact
The wrong clients filter themselves out.