Briefing

CMOs Have To Be More Tech-Enabled Than Ever – And So Do Their Agencies

ai-dev
by Victoria McNally ·

Assess each AI platform's unique features before adoption.

What to do now

Assess each AI platform's unique features before adoption.

Summary

Advertising agencies have poured millions into AI‑powered platforms that automate creative testing, audience targeting, and campaign planning. The article argues that many agencies mistakenly assume all AI tools are essentially the same, overlooking critical differences in integration and data access. It highlights that some platforms offer deep creative optimization, while others focus on predictive audience segmentation. The diversity of capabilities means agencies must evaluate each tool against their specific workflow needs. The piece also notes that agencies are increasingly expected to deliver data‑driven insights, pushing them to adopt more sophisticated AI solutions. As a result, agencies must balance cost, scalability, and feature depth when selecting platforms. The trend underscores the growing importance of technical expertise within marketing teams. Ultimately, agencies that align AI tools with their strategic goals will gain a competitive edge.

Key changes

  • Agencies invest millions in AI platforms
  • Platforms cover creative testing, audience targeting, campaign planning
  • Assumption that all AI tools are similar is false
  • Platforms differ in integration and data access
  • Need to assess platform fit for agency workflows

Affects

ads-customers

Customer impact

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