# Find where your checkout loses shoppers. By step, device and browser, from your GA4 A checkout funnel analysis counts how many shoppers reach each step from product page to purchase, and where they leave. With Agentik, your AI builds the funnel and checks your tracking in your own GA4, tests the cart and checkout pages on mobile with DataForSEO, and reads them with Firecrawl. - For: E-commerce managers and founders - Providers: 3 (Google Analytics 4, DataForSEO and Firecrawl), 5 tools - Example (One GA4 property over 28 days, a five-step funnel, a device report, the ecommerce check, 3 pages tested on mobile and read): at most $0.07, computed from the live catalog - Updated: 2026-10-10 ## Each provider does one part No single provider covers this job. Through Agentik your AI calls each one for its part, from one connection and one prepaid balance. - **Google Analytics 4** (3 tools, at most $0.02): Your funnel from product view to purchase, broken down by device and browser, and a check of your ecommerce tracking. - **DataForSEO** (1 tool, at most $0.05): Mobile Lighthouse scores for the cart, checkout and shipping pages. - **Firecrawl** (1 tool, at most $0.0075): What those pages say about shipping, returns and payment. ## Give this to your agent ```text Use my connected Agentik MCP server for this job: checkout funnel leaks. Find where my checkout loses shoppers. First ask me which GA4 property to use and my store’s cart and checkout URLs. Build the funnel from product view to purchase with ga4/run-funnel-recipe. Break carts, checkouts and purchases down by device and browser with ga4/run-report. Check my ecommerce tracking with ga4/get-ecommerce-diagnostics. Test the cart, checkout and shipping pages on mobile with dataforseo/on-page-lighthouse and read them with firecrawl/scrape. Finish with the step that loses most, the devices and browsers where it is worse, tracking gaps to fix first, and five changes to test. Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged. ``` ## You provide - Your connected GA4 property - Your cart, checkout and shipping page URLs ## What you get: a funnel diagnosis with five changes to test - Drop-off at each step - Devices and browsers where it is worse - Tracking gaps to fix first - Five changes to test ## How to find where a checkout loses shoppers in Claude or ChatGPT Prices are the most each call can reserve for this example: One GA4 property over 28 days, a five-step funnel, a device report, the ecommerce check, 3 pages tested on mobile and read. ### 1. Build the funnel GA4 builds the funnel from product view to purchase over 28 days. - [Run a Google Analytics funnel recipe](/tools/ga4/run-funnel-recipe.md) `ga4/run-funnel-recipe` (Google Analytics 4, 5 steps): at most $0.005 ### 2. Break it down by device A device and browser report shows where each step is worse, and an ecommerce check flags tracking gaps. - [Run a Google Analytics report](/tools/ga4/run-report.md) `ga4/run-report` (Google Analytics 4, 1 report): at most $0.005 - [Google Analytics ecommerce diagnostics](/tools/ga4/get-ecommerce-diagnostics.md) `ga4/get-ecommerce-diagnostics` (Google Analytics 4, 1 check): at most $0.005 ### 3. Test the pages Lighthouse tests the cart, checkout and shipping pages on mobile, and Firecrawl reads what they say. - [On-page Lighthouse](/tools/dataforseo/on-page-lighthouse.md) `dataforseo/on-page-lighthouse` (DataForSEO, 3 pages): at most $0.05 - [Scrape a web page to markdown](/tools/firecrawl/scrape.md) `firecrawl/scrape` (Firecrawl, 3 pages): at most $0.0075 ### 4. Write the fixes Your AI names the step that loses most, the devices and browsers where it is worse, the tracking to fix first and five changes to test. Example total: at most $0.07. Each call is billed for measured usage; unused reservations are released. ## Ask it your way - Where do shoppers leave my checkout, and on which devices? - Is my ecommerce tracking in GA4 complete? - Why do mobile shoppers abandon at the payment step? - Give me five changes to test on my checkout. ## Why through Agentik - Your GA4 funnel, Lighthouse and page reading come through one connection. - Each GA4 read costs half a cent; the whole example costs cents. ## Good to know - A funnel step missing from GA4 shows as a sudden drop; the ecommerce check flags it before anything else. - Checkout pages behind a login or a payment provider may not be readable. ## When to use something else For session recordings of real shoppers, use a session replay tool. This playbook finds the step and the segment to look at first. ## Checkout funnel leaks: questions ### What if a step is missing in GA4? The funnel shows a sudden drop and the ecommerce check flags the missing event, so you fix tracking first. ### Can it read checkout pages behind a login? No. Pages behind a login or a payment provider can’t be read. ### What does the example cost? At most $0.07, reserved before each call and settled at the measured usage. ## Keep going - [Checkout teardown](/checkout-teardown.md): A browser agent walks three competitors’ checkouts as a guest, stopping before payment, and lists every step, fee and upsell, next to their shipping terms and page speed. - [Landing page diagnosis](/landing-page-diagnosis.md): Why a landing page converts less than before, from your ads, GA4 and Search Console together, with its mobile speed and its copy read against the ads that send traffic. - [Competitor price check](/competitor-price-check.md): Every seller of your products on Google Shopping and Amazon with today’s price, competitors’ shipping and promotions read on their own pages, and the coupon codes in circulation. - [Analytics tools for your agent](/tools/analytics.md) - [E-commerce tools for your agent](/tools/ecommerce.md) - [Scraping tools for your agent](/tools/scraping.md) [All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md) --- [HTML page](/checkout-funnel-leaks) · [Agent index](/llms.txt)