Article
What Is an AI SDR, and What Data Does It Need to Work?
Sales development has a scaling problem. The volume of accounts to work, signals to monitor, and touchpoints to execute has grown far beyond what a human SDR team handles at consistent quality. AI SDRs have entered the conversation as a way to close that gap. But the question most revenue teams skip past too quickly is this: what actually makes an AI SDR work?
The answer is data. Specifically, the right data, at the right quality, connected to the right systems in real time. Without that foundation, an AI SDR is not a productivity multiplier. It becomes an expensive source of misfires, bad outreach, and wasted pipeline capacity.
This post breaks down what an AI SDR is, where it fits in a modern GTM architecture, and what data requirements determine whether it creates value or creates noise.
Where AI SDRs Fit in the GTM Stack
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Article
What Is an AI SDR, and What Data Does It Need to Work?
Sales development has a scaling problem. The volume of accounts to work, signals to monitor, and touchpoints to execute has grown far beyond what a human SDR team handles at consistent quality. AI SDRs have entered the conversation as a way to close that gap. But the question most revenue teams skip past too quickly is this: what actually makes an AI SDR work?
The answer is data. Specifically, the right data, at the right quality, connected to the right systems in real time. Without that foundation, an AI SDR is not a productivity multiplier. It becomes an expensive source of misfires, bad outreach, and wasted pipeline capacity.
This post breaks down what an AI SDR is, where it fits in a modern GTM architecture, and what data requirements determine whether it creates value or creates noise.
Article
What Is a GTM Data Platform?
Your CRM holds records that are months out of date. Your marketing automation platform scores leads against profiles that no longer reflect reality. Your sales team prospects into accounts without knowing who else is involved in the buying decision. These are not isolated problems. They are symptoms of a single, structural failure: your go-to-market data is fragmented, static, and disconnected from the systems that need it most.
A GTM data platform solves that. It sits beneath your revenue stack as the intelligence layer that connects, enriches, and activates data across every system your go-to-market team relies on. Und
Article
How Do You Calculate Match Rate on B2B Data?
Your CRM has thousands of records. Your marketing automation platform is loaded with contacts. Your outbound sequences are running. But when you try to enrich those records, route leads to sales, or fire a signal-based workflow, a large portion of your data simply does not match.
Match rate is the metric that tells you how much of your data is actually usable. For revenue teams running enrichment programs, account-based campaigns, or automated scoring, this number carries real operational weight. A low match rate means your workflows are running on incomplete information, your segments are thin, and your automation is making decisions with missing context.
Understanding how to calculate b2b data match rate, and what actually drives it, is one of the most practical things a RevOps or marketing ops leader can do to improve GTM performance.
