B2B Marketers Struggle with Data Overload and Lack of Insight
B2B marketers face challenges in turning vast amounts of data into actionable insights due to long sales cycles and weak attribution, as detailed in a MarTech article.
B2B Marketers Drown in Data Amid Investment in Tools
B2B marketers frequently describe data as their most valuable asset, comparing it to gold or oil, and invest heavily in tools such as marketing automation platforms (MAPs), customer relationship management systems (CRMs), customer data platforms (CDPs), and other martech solutions, according to MarTech. Despite this investment, reporting now includes analytics from digital campaigns, a shift from past practices where B2B companies advertised in trade publications with limited evidence of benefits. However, this abundance of data has not clarified decision-making, as reports often feature metrics like improved values without explaining the reasons behind them.
Challenges in Measuring B2B Campaigns
Measuring B2B campaigns is difficult due to long sales cycles, which can span months, years, or even decades in some cases, making it hard to determine the value of actions like downloading a data sheet. Buying committees are large, and identifying the importance of interactions at various stages of the customer journey remains challenging, such as deciding whether to focus on early awareness or later decision-making phases. Many B2B industries involve a few high-value customers alongside numerous smaller ones, and account-based marketing (ABM) is used as a strategy, though it struggles with identifying website visitors amid declining form fills and issues with IP tracking exacerbated by remote work.
Shortfalls in Attribution and Data Usage
Attribution in B2B marketing is often unhelpful, as it fails to measure incrementality—the actual growth in sales—due to extended sales cycles and few large customers, leading marketers to rely on it despite its limitations, according to MarTech. For instance, a report might show one campaign achieving twice the click-through rate of another without detailing costs or post-click outcomes, rendering the data incomplete. Internal policies, such as those influenced by GDPR, can result in the culling of old contacts or overly strict opt-in requirements, causing marketing teams to lose valuable data while other departments continue processing it. Many B2B teams do not use data effectively, as personalization is limited to campaign-specific pages rather than core websites.
Widely-Known Context and Implications
As a widely-known challenge in the marketing field, the gap between data collection and insight generation has persisted across industries, often framed by experts as a key barrier to optimizing strategies. In B2B specifically, this issue underscores the need for better integration of tools, though solutions remain elusive without addressing attribution's core problems, according to MarTech.