Platform fatigue. IP targeting's limitations. Challenges of evaluating campaign performance. The impact of economic uncertainty. The disappearance of in-person events...

B2B marketers are facing a host of unresolved data-related issues and questions. Here are some answers.

1. Do B2B marketers suffer from platform fatigue? If so, what's the remedy?

Absolutely they do. A common theme for B2B marketers is that the number of platforms they have to log in to is astonishing and, honestly, cumbersome.

There are platforms for advertising; you've got demand-side platforms (DSPs); search platforms; social and analytics platforms, publisher direct, data management platforms (DMPs), customer data platforms (CDPs), sales automation platforms (Marketo, Eloqua, etc.), measurement dashboards (Tableau, Domo, etc.) and customer relationship management (CRM) platforms.

It's endless.

But B2B marketers don't have the leisure of being able to walk away from interacting with a multitude of platforms as they execute on a comprehensive marketing strategy.

One of the main drawbacks of using all of those platforms is that you end up with bits of valuable data that are siloed in each platform. Savvier marketers use data science practices to gain valuable insights from the data at their disposal; however, those siloed data fragments can be hard to take advantage of.

In a lot of cases, brands rely on their agency to produce reports from those platforms, but that tends to blur what's actually happening—i.e., digital marketing insights from DSPs/publishers versus what marketing analysts see within their systems. This is where the ability to extract and tie all of this data to a common identity space creates data portability for B2B marketers and ultimately enables fragmented data sets to be joined. As a result, business-critical insights can be extracted in a timely manner.

2. How can B2B marketers circumvent the limitations of IP targeting?

If you think about IP-based targeting, a number of restrictions make it difficult for a B2B marketer to identify and precisely engage end users. Most notably, IP targeting does not enable a B2B marketer to reach a specific persona; rather, IP-based targeting will target everyone working at a specific business (e.g., sitting behind a common corporate IP address), regardless of role or seniority.

There are also inherent challenges with IP targeting when the majority of the workforce is no longer working from a physical office, exactly like what we're experiencing now as a result of the global pandemic, which has drastically shifted the way employees work.

To combat these limitations to both accuracy and scale, B2B marketers can do a few things:

  • Enlist the help of a partner that can help build account-based marketing ( ABM) audiences across numerous high-quality data providers, and segment those audiences in such a way that they (B2B marketers) can target not only accounts but also role-based attributes, such as seniority or job function.
  • Consider layering in B2B intent data, which allows B2B marketers to discover accounts that are currently in-market for the products they are looking to sell. Those intent signals can be used both to refine target lists generated by the sales team and to expand to additional accounts so that they include, for example, accounts that are currently evaluating competitive solutions and which may not have been on a target list previously.
  • Engage in meaningful data partnerships to power not only targeting efforts but also internal analytics and data science efforts, as well. Being able to identify and execute data collaborations, specifically second-party data collaboration, is paramount: It enables B2B marketers to better "know" their end user, and it accentuates data privacy and security when done in a safe, closed environment

3. What are the primary data-related differences between B2C and B2B marketers?

There are fundamental, inarguable differences between B2C and B2B marketers and their respective data. To name one: B2B data is even more siloed than consumer data.

If you're a consumer marketer, you often get your data from a website or your CRM team; but either way, it's centralized. B2B marketers, on the other hand, must navigate the complexities of working with a large marketing team, sales team, business-intelligence/analytics team. and the organizational fragmentation that goes along with it all.

Let's say a B2B marketers want to run a programmatic campaign; to do so effectively, they need to extract and unify data from multiple sources. And a typical process may require them to get data from the website, which is owned by IT; CRM files, owned by the sales department; data, owned by data science and analytics teams; and so on.

Even if the B2B marketers are able to get the data they need, that B2B data is still orders of magnitude smaller than their B2C counterparts'. That makes sense, if you think about it. For example, the number of decision-makers in a B2B setting who might sign off on a large contract can include a handful of executives. Contrast that to a consumer who can decide to purchase a smartphone and proceeds to purchase that smartphone tomorrow with little or no oversight.

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How B2B Marketers Can Absorb and Apply Data Effectively: Six Questions Answered

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ABOUT THE AUTHOR

image of Pieter De Temmerman

Pieter De Temmerman is COO at LiveRamp B2B, where he is focused on building global solutions to B2B challenges in sales, marketing, and analytics for companies, agencies, platforms, and data providers.

LinkedIn: Pieter De Temmerman