AI-powered recommendations to optimize your campaigns.
AI RecommendationsComing Soon
Overview
Recommendations delivers AI-powered optimization suggestions based on your marketing data. From budget reallocation to creative refreshes, each recommendation is backed by data and can be accepted, dismissed, or reviewed with notes.
Key Features
Multi-Source Recommendations: AI analyzes data from MMM, pixel tracking, AI Visibility, and more to generate actionable recommendations
Accept/Dismiss Workflow: Review each recommendation and choose to act on it or dismiss with a reason
Outcome Tracking: After accepting a recommendation, track whether the predicted outcome materialized
Performance Measurement: See the cumulative impact of accepted recommendations over time
Review Notes: Add notes to recommendations for team collaboration
Email Digests: Receive weekly digest emails with new recommendations
Actionable Filter: Filter to show only recommendations you can act on right now
How It Works
The recommendation engine runs across multiple data sources in your workspace, identifying optimization opportunities. Each recommendation includes a description of what to do, why, expected impact, and the data source it's based on.
Recommendation Types
Budget Reallocation: Suggestions to shift spend between channels based on MMM marginal ROI analysis
Creative Refresh: Alerts when creatives show fatigue signals
Channel Scaling: Opportunities to increase spend on channels below their saturation point
Tracking Fixes: Issues detected in your pixel or integration setup
AI Visibility: Actions to improve your brand presence in AI platforms
Use Cases
Daily Optimization: Start your day by reviewing new recommendations
Team Collaboration: Share recommendations with team members and add review notes
Impact Reporting: Demonstrate the value of data-driven decisions with outcome tracking
Proactive Management: Catch issues and opportunities before they affect your bottom line