Article
Why Keeping B2B Profiles Up-to-Date Boosts Sales & Marketing Success
Best Practices: Data Quality
Keeping B2B buyer profiles up-to-date is essential for maintaining effective sales and marketing strategies. Unfortunately, keeping profiles up-to-date is tedious and often neglected. Failing to update our customer or buyer profiles does your sales and marketing teams a tremendous disservice. Your teams could spend thousands of dollars and weeks of focus trying to get in touch with a great lead from last year, completely unaware that the person changed jobs three months ago – all because their profile within your CRM and marketing automation systems wasn’t up-to-date. People change jobs and companies go throughM&A all the time – and your sales and marketing teams need to stay informed. That’s just one of the many ways your teams will lose with outdated buyer profiles. Having accurate, up-to-date data seems like a no-brainer, right? Let’s consider why many sales and marketing teams don’t always have the data they need.
It takes a lot of buying signals to build the buyer profiles that our sales and marketing teams need to win business. Firmographics, demographics, technographics, intent, 1st-party data, predictive and engagement. Generally speaking, we can’t get all of those signals from one place. Instead, we’re forced to buy numerous sets of static data from several vendors, then blend it all together. Buying multiple sets of data from multiple sources is inherently expensive, and manually combining that data with our first-party data is time-consuming, cumbersome and error-prone. We might jump through those hurdles at first, but the problem arises when we need to update it.
A static data set is just a snapshot in time, and there’s no way to tell when data has changed to the point where you need a new snapshot. This means that in order to ensure our buyer profiles are up-to-date, we need to regularly buy all of our data over and over again, continuously blending it all together with the old data. That’s going to be very expensive, and it’s going to require a lot of time and effort dedicated to data unification. In many cases, by the time you’ve enriched your new data with the old data, that new data has already become old data. Naturally, many companies will decide that their slightly old data is good enough because they can’t justify the cost of constant data purchases or the time spent unifying it.
Not updating your buyer profiles is a huge mistake in a world of data-driven decision making, where all of the decisions you make depend on having accurate, complete and up-to-date data. Even the best predictive AI models will point you in the wrong direction if the data being analyzed isn’t correct. Simply put, if you want your sales and marketing teams to have the tools they need to reach out and close business, you need to give them buyer profiles that are dynamically updated.
Let’s look at 10 common strategies for ensuring that your buyer profiles are current and accurate, then consider a more realistic solution for automating the entire process.
Automated Data Enrichment
Latest Articles
Article
How to cut inbound response times from hours to seconds
If your inbound team still routes leads in batches, you lose pipeline before a rep sees the record. Slow handoffs break the buying experience, waste paid demand, and create friction across marketing, sales, and RevOps.
The fix is not another routing rule. You need betterdata quality, stronger identity resolution, and trusted third-party data at the moment of form fill. When routing runs on incomplete records, your systems hesitate. When routing runs on verified buyer and account context, execution moves in seconds.
This is the shift in inbound lead management. You stop treating lead routing as a form workflow. You treat it as a real-time data decision.
Article
Mapping buying teams across subsidiaries and regions with enterprise data management, MDM
If you sell into complex accounts, you face a visibility problem before you face a pipeline problem. Your team sees one parent account in CRM, a different structure in marketing automation, and scattered contacts across regions, business units, and local entities. That gap blocks buying team activation.
Enterprise data management, MDM gives you a way to map the account as it operates, not as one system stores it. You connect subsidiaries to parents, align regional entities, resolve duplicate buyers, and expose the people who shape a deal across the full hierarchy. Once you do that, you route, score, segment, and engage with more precision.
This matters because buying decisions rarely sit with one person or one team. Forrester reports that 13 people on average take part in a buying decision, and 89% of purchases involve two or more departments. If your data model stops at one account record, you miss how those decisions form.
Article
Building outbound lists that sales actually trusts
Your outbound program breaks the moment sales doubts the list.
That doubt rarely starts with volume. It starts with data confidence. If reps see the wrong company size, stale contacts, or weak fit logic, they stop working the list. Then response rates fall, routing gets messy, and your account-based marketing motion loses credibility.
If you want sales to trust outbound lists, you need stronger Third-Party Data and sharper technographics. You also need a process that turns raw records into account-level confidence. That means validating fit, resolving identity, and mapping buying groups before the first sequence starts.
In most teams, the problem is not list creation. The problem is whether the list reflects how buyers operate now.
