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Building B2B Buyer Profiles
The goal? To deliver effective campaigns targeted at the best opportunities within our Total Addressable Market (TAM) – at the lowest cost.
Doing this successfully starts with creating complete, accurate, dynamic and unified buyer profiles of people, accounts and buying centers so we can properly prioritize and target opportunities with data-driven assurance that we’re delivering the right message to the right people at the right time. Unfortunately, building robust buyer profiles is a complex, cumbersome process – and it usually isn’t cheap.
Meanwhile, your data is decaying. Data decay is an issue that every company faces – especially after the pandemic. As the business environment restructures itself in the post-pandemic era, a new symptom is spreading among companies: millions of workers are quitting their jobs. People and companies change constantly. Companies make acquisitions, people change jobs, and intentions are dynamic. This means your buyer’s data changes every day – but does your database reflect that? Is the data you use to drive your business as accurate as the day you procured it? Historically, achieving that high-quality, up-to-date B2B buyer data has been much easier said than done.
Latest Articles
Article
The hidden cost of single-contact selling in complex B2B deals
You lose deals when you treat one contact like the whole market. Complex B2B purchases move through a buying committee, not a single inbox. If your team builds Custom Audiences around one visible lead, you miss the people who shape risk, budget, security, and final approval.
That gap creates GTM risk fast. Your campaigns reach the wrong mix of stakeholders. Your sales team reads weak intent. Your routing logic favors activity from one person. Your reporting shows movement, while the buying team stays incomplete. In a modern revenue system, that is a structural problem, not a messaging problem.
This is why buying team activation matters at the top of the funnel. You need Custom Audiences that reflect the full buying committee early, before the deal stalls in silence.
Article
Territory planning is broken: how data gaps sabotage coverage
Your territory plan fails long before a rep misses quota.
It fails when account records drift out of date. It fails when parent and child accounts stay disconnected. It fails when your team works from static lists while markets shift underneath them.
That is why territory planning has become an enterprise data management problem first. If your data foundation is weak, your coverage model breaks. Your reps inherit uneven books. Your outbound teams miss reachable accounts. Your leaders misread whitespace. Then coverage gaps tied to missed GTM opportunity compound across every quarter.
For teams focused on outbound TAM development, technographics add another layer of risk. If you do not know which systems an account runs, which tools it replaced, or where its stack is changing, you assign territories with blind spots built in.
You do not fix that with another spreadsheet. You fix it with real-time intelligence that keeps buyer, account, and buying group data aligned across the revenue stack.
Article
Why CRM data decays faster than you think
Your CRM starts losing value the day a record enters the system.
People change jobs. Teams rename roles. Companies shift ownership. Email addresses expire. Phone numbers route somewhere else. What looked usable last quarter now creates friction across sales, marketing, and RevOps.
That is why data quality is not a cleanup project. It is an operating requirement.
If you treat CRM hygiene as a quarterly task, you let decay spread into routing, scoring, segmentation, and reporting. If you rely on stale records and weak third-party data, you make every GTM motion harder to trust.
For teams running modern revenue systems, positions decay is a GTM risk. A contact record with the wrong title, business unit, or reporting line does more than bounce an email. It distorts who you target, how you prioritize accounts, and where you send sellers next.
