Originally published March 7, 2022. Updated June 17, 2026.
Gong is the B2B social media marketing case study. The revenue-intelligence platform — founded in 2015 by Amit Bendov and Eilon Reshef, valued at $7.25 billion in its 2021 funding round led by Franklin Templeton — built one of the most-copied LinkedIn brand playbooks in B2B software.
The architect is named. Udi Ledergor, Gong's longtime CMO, wrote the playbook publicly. Most B2B marketing teams know the playbook. Few execute it.
What Gong did that other B2B brands did not
Gong treated LinkedIn as a content channel, not a corporate communications megaphone. The brand handle posted original research, contrarian takes, and category-shaping data — not press releases and product announcements. The founders posted in their own voices, frequently, in formats native to the platform. Senior executives posted in their own voices.
The result: brand-handle posts that read like a human wrote them. Personal posts from named executives that outperformed brand-handle posts on a wide margin. A category-defining presence on a platform most B2B companies treated as a syndication tool.
Why this strategy creates B2B social advantage
B2B buyers research on LinkedIn. The consideration set forms there. A B2B buyer evaluating revenue-intelligence platforms in 2022 could not avoid Gong on LinkedIn. Posts about deals closed, calls analyzed, sales methodology, and category data flowed past that buyer's feed daily. By the time the buyer was ready to evaluate vendors, Gong was already in the consideration set — at a customer-acquisition cost lower than the paid-search equivalent.
Industry estimates put Gong's LinkedIn-attributed share of pipeline in the meaningful double digits during the 2019–2022 window. The brand built a measurable, durable, low-CAC growth channel that most B2B competitors did not invest in.
Why most B2B brands cannot copy it
Three reasons. Senior executives have to actually post — most do not. The brand handle has to have a point of view — most do not. The marketing team has to be allowed to publish original research and contrarian data — most are not. The structural barrier is not knowledge. It is institutional willingness.
The Gong playbook is documented. Udi Ledergor's book "Courageous Marketing" lays it out. Most B2B CMOs read it. Most B2B brands continue to treat LinkedIn as a press release distribution list.
What B2B brands take from Gong
Treat LinkedIn as a content channel. Get senior executives posting in their own voices. Publish original research and contrarian data, not announcements. Measure LinkedIn against pipeline, not engagement. Give the marketing team a point of view and the permission to express it. The full 2026 reference on social media marketing for businesses covers the platform-by-platform framework.
Frequently Asked Questions
What is Gong? Gong is a revenue-intelligence platform founded in 2015 by Amit Bendov and Eilon Reshef. The company was valued at $7.25 billion in its 2021 funding round led by Franklin Templeton.
Who runs Gong's marketing? Udi Ledergor served as Gong's longtime CMO and is the publicly credited architect of the brand's LinkedIn-first B2B playbook. He documented the strategy in his book "Courageous Marketing."
What is Gong's social media strategy? Gong treats LinkedIn as a content channel, not a corporate communications megaphone. The brand publishes original research and contrarian data. Senior executives post in their own voices. The strategy created LinkedIn-attributed pipeline share in the meaningful double digits during the 2019–2022 window.
Can other B2B brands copy Gong's playbook? The playbook is documented and known. Most B2B brands fail to execute because senior executives do not post in their own voices, brand handles lack a point of view, and marketing teams are not given institutional permission to publish original research and contrarian data.
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Written by
EPR Editorial Team
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.