# Ad Cost Per Click Analytics AI Agent Connect > Ad Cost Per Click Analytics MCP gives your AI agent the math skills needed to audit advertising performance. It handles the heavy lifting of calculating average costs per click, comparing actual spend against your targets, and grouping data by specific timeframes. You can also use it to check if your campaign data is actually large enough to be reliable. ## Overview - **Category:** marketing - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_BmeR6gYrm5fyvS7ChkgVbIiazUHnm6U2x9EsJe5c/ai-agent-connect - **Tags:** cpc, advertising, marketing-analytics, ad-spend, campaign-efficiency ## Description You can stop manually running spreadsheets to check if your ads are actually working. This MCP gives your AI client direct access to the metrics that matter for ad performance. Instead of you doing the math, your agent can instantly calculate the average cost per click or check if your current spending aligns with your efficiency goals. It handles time-based data too. If you need to see how spend and clicks look across different periods, your agent can aggregate that data in seconds. You can also use it to validate whether a campaign has enough activity to be statistically significant, preventing you from making decisions based on tiny, unreliable sample sizes. It's a specialized toolkit for anyone who needs to turn raw ad spend into actionable efficiency insights without the manual calculation headache. ## Tools ### aggregate_spend_by_period This tool groups your spend and click data into specific time segments. It's useful when you need to see how performance shifts between different dates or weeks. ### calculate_cpc This tool computes the average cost per click. Your agent uses this to find the exact price you're paying for every user interaction. ### get_campaign_efficiency_summary This tool compares your actual cost per click against a target value. It tells your agent if a campaign is hitting its efficiency goals or overspending. ### validate_campaign_viability This tool checks if a campaign has reached a minimum activity threshold. It helps your agent determine if there is enough data to trust the results. ## Prompt Examples **Prompt:** ``` What was the average cost for each click if we spent $500 and got 250 clicks? ``` **Response:** ``` The average cost per click was $2.00. ``` **Prompt:** ``` Is our campaign efficient if we spent $100 for 50 clicks and our target CPC is $1.50? ``` **Response:** ``` No, the actual CPC is $2.00, which is $0.50 above your target budget. ``` **Prompt:** ``` Check if a campaign with 15 clicks is viable if the minimum threshold is 20 clicks. ``` **Response:** ``` The campaign is not currently viable as it has not met the minimum threshold of 20 clicks. ``` ## Capabilities ### CPC Calculation Your agent calculates the exact cost per click for any given spend and click count. ### Efficiency Auditing The AI compares real-time spending against your pre-set efficiency targets. ### Data Aggregation Your agent sums up spend and clicks across various time periods automatically. ### Statistical Validation The tool checks if a campaign has enough activity to be considered statistically viable. ## Use Cases ### Budget Tracking Your agent checks if the current CPC is staying within the target budget for an active campaign. ### Trend Analysis You ask your agent to aggregate spend across different weeks to see how costs are changing. ### Data Integrity Checks The agent verifies if a new campaign has enough clicks to be considered statistically viable. ### Performance Audits Your agent calculates the average cost per click to evaluate the cost-effectiveness of an ad set. ## Benefits - Eliminates manual math for cost per click calculations. - Provides instant comparison between actual spend and target efficiency. - Groups spend and click data by time periods without manual grouping. - Flags campaigns with insufficient data to prevent bad decision making. ## How It Works Connecting this MCP to your AI client gives your agent immediate access to advertising math tools. 1. Connect your preferred MCP-compatible client to Vinkius. 2. The agent gains access to the specialized advertising tools. 3. You ask your agent a question about spend, clicks, or efficiency. 4. The agent executes the specific tool to perform the calculation or aggregation. 5. Your agent delivers the precise answer or summary to you. ## Frequently Asked Questions **How does this MCP calculate cost per click?** It uses the calculate_cpc tool to divide the total spend by the number of clicks provided. **Can I use this to check if my campaign is over budget?** Yes, the get_campaign_efficiency_summary tool compares your actual CPC to your target efficiency to see if you are overspending. **What if my campaign only has a few clicks?** You can use the validate_campaign_viability tool to check if the campaign meets a minimum activity threshold before you trust the data. **Can I see how my spend changes over time?** Yes, the aggregate_spend_by_period tool allows your agent to group spend and clicks into different time segments. **Which AI clients can use this MCP?** This MCP works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code. **How is the cost per click calculated?** The cost per click is determined by dividing the total ad spend by the total number of clicks received. **Can I compare my actual spend to a target budget?** Yes, you can use `get_campaign_efficiency_summary` to compare your actual CPC against a target value to see if you are within budget. **How do I know if my campaign data is reliable?** You can use `validate_campaign_viability` to check if the current click volume meets your minimum threshold for statistical significance.