Why the best lead-scoring models incorporate social engagement data

Radically Transparent Published: September 29, 2022
Why the best lead-scoring models incorporate social engagement data

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Episode summary

If you don’t have access to a stack of cherry-picked magnificent leads, how do you know which of the leads coming into your business are relevant, and which of those leads are junk?

It’s not easy.

There’s an infinite number of factors that go into qualifying leads.

But using social engagement data in your lead scoring model can make it easier to spot the potential prospects your sales teams should be focusing on.

In this episode of Radically Transparent, Jennifer Gutman of Oktopost hosts a solo episode where she tackles how marketers can identify which leads should be pushed to sales and which may require further nurturing using social engagement data.

She even examines why lead scoring is NOT a marketing-only methodology, but rather a shared process for marketing and sales practitioners, which is vital to top-line revenue growth.

Hot Topics of this episode include:

  • How to use behavioral data in your lead scoring models
  • Why there’s more to lead scoring than demographics, interest, and buying stage; and where social engagement data plays a critical role
  • The great debate between single-disciplined vs. multidisciplined behavior scoring and which model you should be relying on

 

Meet Jennifer

Jennifer Gutman passionately believes that social media is the anchor of any successful B2B marketing strategy and is currently serving as the Director of Customer Marketing at Oktopost.

She joined the company in 2014 when the team was 5 people strong and has since been transforming the way B2B organizations manage and measure social media.

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Frequently Asked Questions

How can B2B organizations improve lead qualification accuracy?

B2B organizations can significantly improve lead qualification accuracy by integrating social engagement data into their lead scoring models. This allows marketers to move beyond basic demographics and identify potential prospects based on their active behavioral interest and intent, ensuring sales teams focus on the most relevant leads.

Why is social engagement data crucial for B2B lead scoring?

Social engagement data provides vital behavioral insights that traditional metrics often miss. It helps B2B marketers understand a lead's true interest and buying intent beyond demographics, allowing for a more accurate assessment of which leads are ready for sales and which require further nurturing.

What role do sales teams play in B2B lead scoring?

Lead scoring is a shared, multidisciplined process, not solely a marketing responsibility. Sales teams play a critical role by providing feedback on lead quality and the effectiveness of scoring criteria, ensuring the model accurately identifies sales-ready leads and contributes directly to top-line revenue growth.

How does behavioral data enhance B2B lead scoring beyond demographics?

Behavioral data, such as social engagement, offers a dynamic and real-time view of a prospect's interactions and interest, going beyond static demographics. This allows B2B lead scoring models to identify genuine intent and engagement, leading to more effective lead prioritization and a better understanding of a prospect's journey.

What is the recommended approach for B2B behavior scoring: single-disciplined or multidisciplined?

The blog post advocates for a multidisciplined behavior scoring model. This approach integrates various data points, including social engagement alongside other behavioral signals, to provide a more comprehensive and accurate assessment of a lead's potential compared to narrower, single-disciplined methods.

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