Actions119
- Analyze Search Terms
- Analyze Wasted Spend
- Explain Performance Anomaly
- Get Benchmark Context
- Get Business Profile
- Get Campaign Performance
- Get Campaign Structure
- Get Campaign Targeting
- Get Pmax Audience Signals
- Get Pmax Search Themes
- Get Usage Status
- Help User Upload
- Infer Business Profile
- List Campaign Extensions
- List Campaigns
- Optimize Budget Allocation
- Pause Ad
- Pause Campaign
- Remove Pmax Audience Signal
- Resume Ad
- Resume Campaign
- Save Business Profile
- Search Audiences
- Select Google Campaign Type
- Update Bid Strategy
- Update Campaign
- Update Keyword
- Validate Video
- Analyze Meta Ad Performance
- Analyze Meta Audiences
- Analyze Meta Wasted Spend
- Browse Meta Targeting
- Detect Meta Creative Fatigue
- Discover Meta Assets
- Duplicate Meta Campaign
- Explain Meta Anomaly
- Get Meta Ad Creatives
- Get Meta Audience Insights
- Get Meta Campaign Details
- Get Meta Campaign Performance
- Get Meta Lead Form Submissions
- List Meta Ad Sets
- List Meta Ads
- List Meta Campaigns
- List Meta Custom Audiences
- List Meta Instagram Accounts
- List Meta Lead Forms
- List Meta Pixels
- Optimize Meta Budget
- Optimize Meta Placements
- Pause Meta Campaign
- Resume Meta Campaign
- Select Meta Campaign Type
- Update Meta Ad
- Update Meta Campaign
- Add Linkedin Creative
- Add Linkedin Text Creative
- Add Linkedin Video Creative
- Analyze Linkedin Creative Performance
- Analyze Linkedin Wasted Spend
- Associate Linkedin Conversion
- Delete Linkedin Creative
- Discover Linkedin Assets
- Explain Linkedin Anomaly
- Explain Linkedin Objectives
- Generate Linkedin Ad Creatives
- Get Linkedin Campaign Performance
- Get Linkedin Campaign Structure
- Get Linkedin Campaign Targeting
- Get Linkedin Engagement Metrics
- Get Linkedin Organizations
- List Linkedin Campaign Groups
- List Linkedin Campaigns
- List Linkedin Conversions
- List Linkedin Creatives
- Manage Linkedin Conversions
- Optimize Linkedin Budget
- Pause Linkedin Campaign
- Pause Linkedin Creative
- Resume Linkedin Campaign
- Resume Linkedin Creative
- Search Linkedin Targeting
- Select Linkedin Campaign Type
- Update Linkedin Campaign Budget
- Update Linkedin Campaign Group
- Update Linkedin Campaign Schedule
- Update Linkedin Creative
- Analyze Tiktok Geo Performance
- Analyze Tiktok Wasted Spend
- Detect Tiktok Creative Fatigue
- Discover Tiktok Assets
- Explain Tiktok Anomaly
- Get Tiktok Ad Performance
- Get Tiktok Audience Insights
- Get Tiktok Campaign Details
- Get Tiktok Campaign Performance
- List Tiktok Ad Groups
- List Tiktok Ads
- List Tiktok Campaigns
- Optimize Tiktok Budget
- Pause Tiktok Ad
- Pause Tiktok Ad Group
- Pause Tiktok Campaign
- Resume Tiktok Ad
- Resume Tiktok Ad Group
- Resume Tiktok Campaign
- Update Tiktok Campaign
- Audit Conversion Tracking
- Delete Monitor
- Get Connections Status
- Get Monitor History
- Get Research Status
- List Connected Accounts
- List Monitors
- List Pending Actions
- List Scheduled Tasks
- Manage Action
- Manage Scheduled Task
- Test Monitor
Optimize Budget Allocation
AI-generatedSummary
Optimize advertising budget allocation across campaigns on the selected platform by analyzing historical performance data and applying constraints like max change percentage, minimum daily budget, and target ROAS.
Inputs
- platform (required) — Advertising platform to optimize budgets for (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, or Utility).
- total_budget (required) — Total monthly budget amount in dollars to allocate across campaigns.
- customer_id — Google Ads customer ID; required if platform is Google Ads.
- date_range — Preset date range for historical data analysis, e.g., 'last_7_days', 'last_30_days' (Google Ads only).
- start_date — Custom start date (YYYY-MM-DD) for historical data analysis (Google Ads only).
- end_date — Custom end date (YYYY-MM-DD) for historical data analysis (Google Ads only).
- lookback_days — Number of past days to analyze for performance; accepted values include 7, 30, 60, 90, or 120 (Google Ads only).
- max_change_percentage — Maximum allowed budget change per campaign as a percentage (0.0-1.0), e.g., 0.3 for 30% (Google Ads only).
- min_daily_budget — Minimum daily budget per campaign in dollars (Google Ads only).
- target_roas — Optional override for target Return-On-Ad-Spend (ROAS), e.g., 3.0 for 3x ROAS (Google Ads only).
- raw_data — Boolean flag; if true, returns only raw metric data (spend, clicks, conversions, etc.) without optimized allocation (Google Ads only).
Output shape
a JSON object containing optimized budget allocations across campaigns or, if raw_data is true, raw campaign performance metrics in a JSON code block.
Inputs related to Google Ads are only applicable when platform is 'googleAds'. Other platforms may have their own implicit handling or no parameters exposed here. The node requires 'total_budget' and 'platform' as mandatory inputs. The data and results are scoped to the time range specified by date_range or start_date/end_date. Output may vary by platform and 'raw_data' flag.
Examples
Example 1: Allocating $15,000 monthly budget across Google Ads campaigns based on past 30-days performance with constraints.
Platform: Google Ads; Customer Id: '123-456-7890'; Total Budget: 15000; Lookback Days: 30; Max Change Percentage: 0.3; Min Daily Budget: 30; Target Roas: 3.0