Spotlight: January 27, 2025


The Weekly Dispatch

Top posts from this week

Hello Reader,

📍 From the Top

This week is all about B2B growth that actually survives contact with reality. Phil Bacon’s “potato marketing” swaps launch‑obsessed noise for boring foundations that feed the pipeline in any season.

Ryan Burch shows how to harness AI‑driven ad platforms without handing them your entire margin. Sarah Johnson closes the loop by treating content as infrastructure, so your AI and analytics amplify clarity, not chaos.

Together, they outline a growth stack built on soil, systems, and story—not shiny objects.

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💬 The Week's Featured Podcast Interviews - Subscribe Today

Potato Marketing for B2B

Founder and fractional CMO Phil Bacon of Marketing Managed introduces the “potato marketing method”—a back‑to‑basics framework that replaces noisy, channel‑chasing tactics with unsexy foundations that quietly compound into reliable, repeatable revenue for complex engineering, manufacturing, and tech firms. Phil contrasts “firework marketing”—big launches, short‑lived spikes, then panic—with the potato, which grows underground, stores energy, and feeds people consistently, even in bad weather. His five‑part framework starts with soil (truth and positioning), then seed (strategy and choices), roots (systems and data), shoots (awareness and content), and finally harvest (demand capture and follow‑through—plus storage so you are not always starting from zero).

Read more | ​Request free proposal​

AI‑Ready Paid Media Systems

Founder Ryan Burch of Tobie Group breaks down how to survive and thrive in AI‑driven ad platforms like Meta and Google by combining clear goals, audience insight, and robust tracking with the latest automation features—without handing the keys to the fox in the henhouse. Ryan describes an inflection point where platforms like Meta openly claim they can now find a brand’s best customers better than the brand can, encouraging advertisers to “set a goal, connect your bank account, and let us do the rest.” At the same time, he cautions that Google and Meta are still ad businesses first, rushing to adapt to LLM‑driven search and discovery, which means marketers must treat AI features as powerful but biased tools—not all‑knowing autopilots.

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Content‑First AI Readiness

Author and strategist Sarah Johnson of Content First Design shows how a content‑first framework turns scattered, conflicting messaging into AI‑ready infrastructure—so every touchpoint tells the same story and your models stop amplifying chaos. Sarah opens by reframing content as infrastructure rather than filler: language, structure, and governance sit underneath every digital experience, analytics layer, and AI workflow. Her Content‑First framework starts with diagnosing misfires—surfacing root causes like siloed teams, misaligned definitions, and weak review processes that quietly erode trust and performance long before any model is deployed.

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🔦 Weekly Spotlight

Across strategy, media, and content, the same pattern emerges: resilience beats spectacle. Teams that invest in positioning, tracking, and content governance can use AI and automation as accelerants, while everyone else keeps rebuilding from zero after every campaign spike.

 

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💡 Final Thoughts

The next edition lands Tuesday, digging deeper into how to operationalize “potato marketing” and content‑first AI across real B2B teams. Reply to this week’s quick poll: Where is your weakest link—foundations, paid media discipline, or content infrastructure?


P.S. Hit reply and tell me one “firework” initiative you’d retire tomorrow if your foundations were finally strong enough.

Best regards,

Michael Bernzweig
Founder, Software Oasis
Founded 1998 | Vetted Community for B2B Founders & Executives

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