Cockpit AI is built for performance marketing teams that want to stop guessing which ads drive revenue. It connects Meta Ads, Google Ads, and Shopify with your CRM to create a unified view of campaign performance across the full funnel. Instead of digging through dashboards, you get prioritized AI recommendations for budget reallocation, audience targeting, and A/B testing. Approve a suggestion, and Cockpit executes it directly in your ad platforms. It also includes an AI copilot called Nova for on-demand performance analysis and content generation.

• Unified Ad & CRM Dashboard: Connects Meta Ads, Google Ads, and Shopify into a single view, linking ad spend directly to SQLs, opportunities, and pipeline health.
• AI-Powered Recommendations: Analyzes live campaign data and surfaces prioritized actions ranked by expected pipeline impact, from budget shifts to audience updates.
• One-Click Execution: Approve a recommended change and Cockpit applies it directly in your ad platforms, no manual work required.
• Pipeline-Focused Analytics: Measures campaign performance based on downstream outcomes like qualified leads and pipeline contribution, not just clicks or impressions.

• Saves Time on Reporting: Pulls data from multiple ad platforms and your CRM into one place, eliminating manual dashboard hopping.
• Actionable Over Informational: Doesn't just show you charts. It tells you what to do next and can execute changes for you with one click.
• Pipeline-First Approach: Focuses on what actually generates revenue, not vanity metrics like impressions or click-through rates.
• Free Trial Available: Core services can be tested at no cost through a 14-day free trial that requires no credit card.
• Generative Ad Copy Support: The AI performance copilot assists in generating and testing ad copy that is directly linked to real performance data.

• Dependent on CRM Data Quality: Insights and recommendations are only as good as the data in your CRM. Messy or incomplete records will reduce accuracy.
• Pipeline Focus May Not Suit All Goals: Teams running brand awareness or top-of-funnel campaigns that don't map directly to SQLs may find the analytics less relevant.
• Selective Ad Platform Coverage: While major platforms such as Meta Ads, Google Ads, LinkedIn Ads, TikTok, Reddit, and X are supported, other niche ad networks may not be integrated yet.

• B2B Marketing Teams Optimizing Ad Spend: A B2B SaaS company running campaigns on Meta and Google can connect Cockpit to their CRM, see exactly which campaigns generate qualified pipeline, and shift budget away from low-performing ads with a single click.
• E-commerce Brands Tracking Ad-to-Revenue Performance: Shopify store owners can link their ad accounts and storefront data to understand which creatives and audiences drive actual purchases, not just traffic.
• Performance Marketers Running A/B Tests: Instead of manually setting up and monitoring split tests, marketers can let Cockpit recommend and execute copy or audience variations informed by real pipeline outcomes.
• Marketing Managers Reporting to Leadership: Teams that spend hours building cross-platform reports can use Cockpit's unified dashboard to show how ad spend translates into pipeline contribution, making executive reporting faster.
• Small Teams Without a Data Analyst: Solo marketers or lean teams without dedicated analytics support can use Nova to ask plain-language questions about their data and get instant performance breakdowns.