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Every successful B2B marketing strategy begins with data. It’s the key to identifying and prioritizing the best accounts for engagement, crafting personalized content to speed up the sales cycle, and optimizing pipeline impact and ROI.
However, despite the growing availability of customer data, many organizations find themselves struggling with fragmented data collection and analysis. This problem creates data silos that hinder the creation of cohesive customer experiences. Research indicates that nearly half of organizations (47%) cite siloed data as their primary obstacle to gaining customer insights.
So, what’s the issue with data silos? You can access a wealth of data, such as third-party intent data, technographic data, CRM campaign engagement data, and various behavioral and firmographic attributes within marketing automation platforms. But integrating and analyzing all this customer data from different technology platforms becomes challenging, resulting in silos that obscure insights about which accounts to engage and how to engage them effectively.
Furthermore, data silos can lead marketers to take shortcuts, relying on a single source of data for campaign strategy instead of a combination of data for more accurate targeting, personalization, and reporting. Solely using first-party data provides only a partial view of the account, engagement activity, or campaign performance. Conversely, relying solely on third-party data isn’t ideal either because many B2B brands, possibly even your competitors, use the same data sources to craft their strategies. This lack of differentiation can harm your brand’s ability to stand out and build unique customer relationships.
Therefore, you can’t afford to overlook the benefits of aggregating data from multiple sources. Doing so helps you prioritize the right accounts and deliver personalized content and messaging tailored to their specific needs and interests. Research supports using multiple sources to validate assumptions, identify buying group members, and map out the buying cycle stages.
When marketing data silos are broken down, good things happen. Let’s take a closer look at the benefits of breaking down data silos to help you make a better business case for deconstructing them:
Saying goodbye to siloed data is crucial. Data serves as the backbone of any successful ABM program. While marketers today have access to vast amounts of data, unifying it is essential to target your best accounts and implement a strategy that guides them through the buyer’s journey effectively. Breaking down data silos enables you to understand the buyer’s mindset, facilitating a cross-channel approach that delivers the right content to the right people on the right channels at the right time.