Thu. Oct 2nd, 2025

Google Ads has introduced Suggested Plans within its Performance Planner tool, offering advertisers pre-built forecasting frameworks designed to accelerate campaign optimization and reduce manual setup time. The new feature leverages machine learning and historical data to generate ready-to-use projections tailored to specific objectives across Search, Performance Max, Shopping, and App campaigns.

The AI-powered suggestions integrate seamlessly into existing workflows, providing high-level overviews that advertisers can customize rather than building forecasts from scratch. Industry benchmarks suggest this could reduce planning time by up to 50%, though effectiveness varies based on account size and data richness. Early beta testing shows improved alignment between budgets and performance metrics, with some campaigns forecasting 20-30% conversion lifts without proportional budget increases.

Google launches AI-powered Suggested Plans in Performance Planner

How Suggested Plans streamline campaign management:

  • Goal-optimized forecasts automatically group eligible campaigns by type and simulate performance scenarios
  • Real-time auction insights and seasonal trends inform suggestions, factors often overlooked in manual planning
  • Granular forecasting incorporates high-intent keywords and predictive capabilities from auction data
  • One-click plan creation from suggested options eliminates repetitive scenario building
  • Smart eligibility requirements ensure only campaigns with sufficient historical data receive suggestions
  • Portfolio bid strategies across accounts may limit availability in some configurations

The feature addresses growing complexity in Google’s bidding environments and fluctuating consumer behaviors by providing data-driven recommendations that account for market volatility. Google recommends reviewing suggested plans weekly during periods of market instability, aligning with the dynamic nature of digital advertising.

However, smaller advertisers may face limitations due to insufficient historical data requirements, though Google has expanded support for newer campaign setups in recent updates. Critics emphasize the importance of human oversight to account for brand-specific nuances that automated systems might miss.

Google’s Suggested Plans represent a strategic move toward more proactive advertising platforms, potentially integrating with emerging AI-driven tools across YouTube and other Google properties as automation becomes central to campaign success.

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