Article
Data Decay: What, Why and How?

People and companies change every day. Companies make acquisitions, people change jobs, and intentions are dynamic. This means your data changes every day – but is your database up to date? Is the data you use to drive your business as accurate as the day you procured it? Data Decay is an issue that every company must face at some point. Email marketing databases, for example, naturally degrade by approximately 23% every year according to Hubspot.
Data decay has especially accelerated during and after the pandemic. This is agreed on by 79% of Customer Relationship Management (CRM) users according to The State of CRM Data Health in 2022 published by Validity. As the business environment restructures itself in the post-pandemic era, a new symptom is quickly spreading among companies: millions of workers are still quitting their jobs in 2022. The “Great Resignation” is affecting even the most solid data-driven strategies for B2B marketers.
High-quality data is the fuel that makes the sales funnel engines spin. According to the Global Data Management Report, which considered responses from 700 data-centric business leaders around the globe, 84% of B2B companies saw increasing demand for data-driven insights within their organizations during the COVID-19 pandemic. The effects derived from the “Great Reshuffle” or “Big Quit” have accelerated this decay to levels not fully understood.
While the degree of decay is not yet fully understood, our response to it can greatly mitigate the effects the decay will have on our organizations’ successful use of data to drive decisions. Here are 6 ways you can address data decay to ensure your data is accurate, up-to-date and, most of all, insightful:
What Is The Hidden Cost of Lead-Based GTM?
Latest Articles

Article
Why intent data fails without buyer context
You see intent data everywhere in B2B growth plans. Vendors promise earlier visibility, better timing, and sharper targeting. The pitch sounds simple. Find in-market accounts, build custom audiences, and push outreach faster.
That logic breaks when you treat intent as a shortcut. Intent works best as signal input, not shortcut. If you ignore buyer context, third-party data points to activity without telling you who matters, why interest is rising, or how your team should respond.
That gap matters more now. According to Forrester, 73% of purchases involve three or more departments, with an average of 13 internal stakeholders. Intent at the account level tells you something is happening. It does not tell you which people shape the decision.
For revenue teams, that is the core problem. You do not need more signals alone. You need buyer context that turns third-party data into coordinated buying team activation.

Article
From ICP to execution: operationalizing your TAM in-market
You already know your ICP. That does not mean your team is ready to work the market. The gap sits between strategy and execution. Your TAM looks clear in a planning deck, then breaks inside territories, routing rules, sequences, and account prioritization.
If you want cleaner territory management, you need stronger market inputs. That starts with technographics and third-party data. Together, they help you move from a static TAM list to an active in-market model your team can run every day.
This matters more now because buying decisions span more people and more functions. Forrester reports that 73% of purchases involve three or more departments. If your TAM logic still works at the lead level, your coverage plan will miss how accounts buy.

Article
Identity resolution explained: the foundation of trustworthy GTM data
Your revenue systems depend on one thing before anything else works. They need a clean, connected view of buyers, accounts, and buying groups. Without that foundation, scoring breaks, routing slips, reporting drifts, and execution slows.
That is why identity resolution sits at the center of modern Master Data Management (MDM) and Data Management Software. If you want trustworthy GTM data, you need a way to match, merge, and maintain records across every system your team touches.
For RevOps, marketing operations, and sales operations leaders, this is no longer a back-office data project. It is an operating requirement for pipeline accuracy, buying group engagement, and signal-driven execution.


