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Modern GTM teams need a unified data foundation across CRM, marketing automation, and data warehouses to improve targeting, segmentation, and pipeline performance. Revenue growth depends on execution quality. That delay is expensive. Execution quality depends on data. That sounds obvious. Yet most GTM teams still run on fragmented systems, stale records, and lead-centric processes built for a different market. CRM holds one version of the account. Marketing automation holds another. The warehouse holds a third. Each system fires signals, but none sees the full picture.

Most revenue teams still look for deal intent in the wrong place.

They watch form fills, MQL spikes, and single-contact activity. They score individuals. They route leads. They wait for hand raises. By the time those signals appear, the buying team has often already framed the problem, narrowed vendors, and aligned inter nally. That delay is expensive. B2B buyers now complete roughly 70% of their purchase jour ney before speaking with a vendor, according to 6sense research . In the 2025 Buyer Experience Report, 94% of buying groups ranked vendors before first contact , and the vendor contacted first won nearly 80% of the time .

If you want earlier access to active deals, you need a different operating model. You need to detect buying team formation before the opportunity is declared. You need to read account activity as coordinated behavior, not isolated events. You need systems that surface who is involved, what changed, and when action is required.

This is where Buying Team Intelligence matters. It gives you a way to move from contact-level noise to account-level evidence.

Revenue teams operate inside a signal-rich environment. Buyers research, evaluate, and compare vendors across many channels before speaking with sales. That activity leaves data behind.

Most organizations collect fragments of those signals across marketing automation, CRM, web analytics, product tools, and third-party platforms. Few teams unify them. Fewer teams activate them in real time. The result: revenue teams operate with partial visibility into active demand.

According to Gartner research, B2B buyers spend only 17% of their purchase journey meeting with suppliers. The rest occurs independently through digital research and internal discussions. Signal visibility determines whether revenue teams recognize demand early or respond too late.

This eBook outlines the nine buyer signals every revenue organization should track continuously. These signals help revenue teams identify active buying groups, prioritize accounts, and accelerate pipeline.

When unified through a modern data intelligence architecture, signals shift go-to-market from reactive execution to signal-driven engagement.