From Chaos to Clarity: Creating Predictable Revenue Systems
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
From Chaos to Clarity: Creating Predictable Revenue Systems
-
ナレーター：
-
著者：
このコンテンツについて
Episode #242:
Kari Hanson, Chief Marketing Officer at Robin, explains why traditional ideas of predictability are breaking under the pressure of AI-driven change. She describes how shifting buyer behavior makes historic performance less reliable as a guide. Kari shows how brand and voice of the customer can restore clarity in this chaos and outlines a path to rebuild more predictable revenue systems grounded in genuine customer insight.
“The brand and really understanding the voice of the customer are the pieces that feed the predictability in a very unpredictable way.” - Kari Hanson
This episode explores why classic ideas of predictability are breaking in an AI-driven world and what CMOs can do about it. Kari unpacks shifting buyer behavior, lazy AI use, and noisy markets, then shows how brand and customer voice give leaders the context they need to design more reliable, scalable revenue systems.
Follow Kari Hanson on LinkedIn
Follow Steve MacDonald on LinkedIn