Topic
Every post on the Index about data-driven strategy.
Dahv argues that platform updates such as TikTok's Out of Phone campaigns and Instagram's AI Creator labels are signals to act on. Marketers should use AI to extend creator impact and use data to spot trends early, or risk trailing.
Todd argues that marketers confuse data volume with value, and that dashboards which don't guide decisions create an illusion of progress. He calls for reflection over reaction and for AI that works with established marketing know-how.
By Todd Kirk
Joel argues that instinct is now the weakest link in data-driven marketing. AI finds hidden patterns and predicts market shifts, so teams that don't build it into their growth frameworks risk obsolete revenue strategies. He frames AI as amplifying strategy, not replacing people.
By Joel Breen
Jeff argues that AI is a transformation of marketing rather than a tool, and that teams still relying on yesterday's metrics lose agility. He points to real-time, privacy-compliant AI platforms as the way to gain a competitive edge.