budget-bidding-optimizer

What This Skill Does

The budget-bidding-optimizer is a specialized OpenClaw agent skill designed to bridge the gap between high-level business objectives and granular ad platform execution. Unlike generic AI, this skill understands the nuances of cross-channel advertising, specifically focusing on bid logic, pacing, and budget allocation for Meta, Google, TikTok, YouTube, Amazon, and DSP platforms. It acts as an expert media buyer, translating business KPIs (like ROAS or CPA targets) into a structured 5-part plan comprising a strategy snapshot, channel-specific roles, bidding plans, test matrices, and rigorous scale/kill rules.

Installation

To install this skill, use the following command in your OpenClaw terminal: clawhub install openclaw/skills/skills/danyangliu-sandwichlab/budget-bidding-optimizer

Use Cases

1. New Campaign Launch: Determine how to split a $50k monthly budget across Meta and Google to maximize conversion volume while maintaining a 3.0 ROAS.
2. Budget Pacing Optimization: Analyze why a TikTok campaign is failing to spend its daily budget and provide actionable bid adjustments to capture more impressions.
3. Scale/Kill Decisions: Identify which underperforming ad sets should be paused and how to reallocate that budget to the highest-performing audiences during peak seasonality.
4. Cross-Channel Integration: Design a full-funnel strategy where TikTok serves as the awareness driver while Google Shopping handles the bottom-funnel intent capture.

Example Prompts

1. "I have a $20,000 monthly budget. I need to acquire new customers on Meta and Google Ads with a target CPA of $45. Generate a budget allocation and bidding strategy for me."
2. "My current TikTok campaign is seeing a high CPM but low click-through rate. Analyze my current setup and suggest a test matrix to optimize creative performance."
3. "We are heading into Black Friday. Propose a scaling strategy for our Amazon Ads and Meta retargeting efforts that prioritizes revenue efficiency without exceeding our $5,000 daily spend cap."

Tips & Limitations

• Input Quality Matters: The skill functions best when you provide specific KPI priorities. If your inputs are vague, the agent will prompt you for the required objective, budget_frame, and channel_scope.
• Risk Management: Always define your stop-loss conditions. The agent is trained to prioritize data-backed decisions but assumes you have correctly configured your conversion tracking.
• Platform Specificity: Remember that this skill treats Google/Amazon differently than Meta/TikTok. It understands that demand-capture (Google) requires a different bidding logic than demand-generation (Meta).