Wednesday, February 28, 2024

Hashtag Team: Big Data’s effect on the supply chain, and what B2B can learn from B2C

Last updated on August 23rd, 2017 at 10:18 am

We’re back with another recap of what kept the B2B social world buzzing this week. B2B News Network partnered with Nexalogy to help sift through the social data and find the most relevant posts and stories to keep you ahead of the curve.

This week, we found posts about how a lack of social listening can lead to (many) missed sales opportunities, some lessons from the B2C world, and an in-depth look at what supply chain managers need to know about Big Data and analytics.


Missed Sales Opportunities 

This stat was calculated by Brandwatch after finding over 70,000 “intent to purchase” mentions online of the top 200 B2B brands, 99% of which went unanswered. Calculated to be approximately $36 billion in potential missed revenue, this study makes a strong case for both monitoring and engaging in online conversations about your brand.

B2C Lessons for B2B Marketers  

While you may assume that B2B purchases are driven largely by logic and analytics, they are often just as driven by emotions, trust, and aspirations as B2C transactions. This post covers some important lessons about the buying process that the consumer world can offer B2B organizations, and vice versa. A must-read if you work in the B2B space.

Turning Prospects into Customers

Once you’ve converted a lead into a prospect, it can be difficult to continue the momentum and ensure they become full-fledged customers. This blog post, shared on social this week over 700 times, covers some tips for nurturing these prospects and providing a little push in order to turn prospects into purchases.

Big Data and Analytics

Much has been written about Big Data and the potential opportunities it presents for B2B businesses, but the great thing about this in-depth article from CSCMP’s Supply Chain Quarterly is that it dispels a few misconceptions and is specifically geared towards supply chain managers. You’ll learn the difference between descriptive, predictive, and prescriptive analytics and the role that machine learning can play in supply chain applications.


This is a neat little graphic from Evolve! Agency that plots how easy or difficult some of the most well known B2B marketing tactics are to implement, along with how effective they are. For content marketers, this would be a useful thing to reference at the beginning stages of planning a campaign.

If you missed last week’s edition of Hashtag Team written by Brett Wilkins—a roundup of a busy week in tech conferences—head here to check it out.

If you have any B2B content we think we should share next week, let us know below or via @b2bnewsnetwork.


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Sarah Dawley
Sarah Dawley
Sarah is an Ecosystem Copywriter at Hootsuite, where she writes a variety of materials about social media and its impact on business. Prior to joining Hootsuite, she was the Social Marketing Manager for the Music & Entertainment Channels at Bell Media, where she spent nearly four years building the presence of Much, MTV Canada, M3 and E! Canada into social communities of over 2.8 million fans and followers. Find her on Twitter @sarahdawley


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