Automation Solutions for various Google AdWords tasks such as Bids Optimizations, Reporting, Campaign Create, Budgeting etc
git clone https://github.com/01dkg/Marketing-Tech-Ads-Automation.gitMarketing-Tech-Ads-Automation streamlines Google AdWords operations through AI-driven tools and real-time automation. GeK(i)AI generates keywords at scale while filtering low-quality terms using historical search data and live Google AdWords validation. The skill automates bid optimization, keyword uploads for shopping and search ads, and provides dynamic reporting dashboards that fetch data directly from AdWords. It solves manual campaign management, keyword research bottlenecks, and reporting inefficiencies for marketing teams and agencies handling multiple customer accounts.
[{"step":"Identify the Google Ads account and campaign type you want to optimize or create. Gather key metrics (CTR, CPC, Conversion Rate) and goals (e.g., ROAS, CPA) from your current campaigns.","tip":"Use Google Ads' 'Campaigns' tab to export performance data as a CSV for analysis. Focus on campaigns with the highest spend or lowest performance first."},{"step":"Customize the prompt with your account name, campaign type, goals, and audience details. Specify the tools (e.g., Google Ads API, Google Ads Editor) you have access to for automation.","tip":"If you're new to automation, start with Google Ads Editor for bulk edits or Zapier for simple workflows. For advanced users, the Google Ads API offers more control."},{"step":"Run the prompt in your AI tool (e.g., ChatGPT, Claude) and review the output. The AI will provide a performance report, bid adjustments, and a new campaign structure if requested.","tip":"Cross-check the AI's suggestions with your historical data to ensure they align with your business objectives. Adjust any unrealistic recommendations manually."},{"step":"Implement the changes using the specified tools. For bid adjustments, use Google Ads' 'Bid Strategies' or the API. For new campaigns, duplicate existing high-performing campaigns as a template.","tip":"Test changes in a small segment (e.g., 10% of budget) before applying them broadly. Use Google Ads' 'Drafts & Experiments' feature to compare performance."},{"step":"Set up automated monitoring and alerts. Use tools like Google Ads' 'Rules' or third-party platforms (e.g., Optmyzr, WordStream) to track performance and trigger adjustments.","tip":"Schedule weekly reviews to refine bid strategies and pause underperforming keywords. Use the AI's output as a starting point for ongoing optimizations."}]
Generate and validate keywords at scale with AI-driven quality filtering
Automate bid optimization and keyword bidding strategy forecasting
Create and upload shopping and search ad campaigns in bulk
Build dynamic reporting dashboards for multi-customer AdWords accounts
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/01dkg/Marketing-Tech-Ads-AutomationCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a Google Ads automation specialist. For the account [ACCOUNT_NAME], analyze the performance of [CAMPAIGN_TYPE] campaigns (e.g., Search, Display, Shopping) and optimize bids to maximize [GOAL, e.g., conversions, ROAS, or CPA]. Generate a report with key metrics (CTR, CPC, Conversion Rate, Cost/Conversion) and suggest adjustments for [BUDGET_TYPE, e.g., daily budget, bid strategy]. Create a new [CAMPAIGN_TYPE] campaign targeting [AUDIENCE] with [BID_STRATEGY] and [BUDGET]. Provide the campaign structure, ad groups, and keyword suggestions. Finally, automate the bid adjustments for [DEVICE_TYPE] and [LOCATION] based on performance data. Use [TOOL_NAME, e.g., Google Ads API, Google Ads Editor, or Zapier] for execution if needed.
For **Account: 'EcoGadgets Inc.'**, I analyzed the **Search campaigns** targeting 'eco-friendly kitchen appliances' and optimized bids to maximize **ROAS (Return on Ad Spend)**. The current performance shows: - **Campaign: 'EcoKitchen_Search'** (Budget: $5,000/day) - CTR: 3.2% (Goal: >4%) - CPC: $1.80 (Goal: <$1.50) - Conversion Rate: 2.1% (Goal: >3%) - Cost/Conversion: $85.71 (Goal: <$75) - ROAS: 3.2x (Goal: >4x) **Optimizations Applied:** 1. **Bid Adjustments:** Increased bids by 15% for high-performing keywords (e.g., 'sustainable blender') and decreased bids by 20% for underperforming ones (e.g., 'eco-friendly toaster'). 2. **Negative Keywords:** Added 'cheap', 'discount', and 'used' to exclude irrelevant searches. 3. **Ad Copy:** Updated headlines to highlight 'BPA-free' and 'energy-efficient' features, improving CTR by 0.8%. **New Campaign Created:** - **Campaign Name:** 'EcoKitchen_Display' - **Type:** Display (Responsive Ads) - **Targeting:** Audiences interested in 'sustainable living' and 'kitchen appliances' - **Bid Strategy:** Maximize Conversions - **Budget:** $3,000/day - **Ad Groups:** 'EcoBlenders', 'SustainableCookware', 'GreenKitchenTools' - **Keywords:** 'eco-friendly kitchen gadgets', 'sustainable cooking tools', 'zero-waste kitchen' **Automated Bid Adjustments:** - **Device:** Increased mobile bids by 25% (CTR: 4.1% on mobile vs. 2.8% on desktop). - **Location:** Boosted bids by 30% for California and New York (highest conversion rates). **Next Steps:** 1. Monitor performance for 7 days and adjust bids further if ROAS doesn’t improve. 2. A/B test new ad creatives for the Display campaign. 3. Set up automated rules in Google Ads to pause keywords with CPA >$100. **Tools Used:** Google Ads API for bid adjustments and Zapier for automated reporting.
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