---
name: al-272-check-whether-your-website-s-lead-numbers-are-real-have-a
description: "Analytics dashboards often count the wrong things as leads, like brochure downloads, newsletter signups or repeat form loads, so you end up making ad and staffing decisions on inflated numbers. An AI agent can read your site's tracking code and conversion settings, list exactly which actions are counted as leads, and compare that against the real enquiries in your inbox or CRM. Monill Parikh posted on X (Oct 22, 2026) that Google Analytics showed 245 leads for a website when the real number was 14; his AI agent caught it by reading the site's tracking code and finding that every catalogue download was being counted as a lead. Use when the user wants help with analytics lead-count audit (marketing) for a small business."
---

# Check whether your website's lead numbers are real: have an AI read your tracking setup and find what's being counted as a lead that isn't one

Analytics dashboards often count the wrong things as leads, like brochure downloads, newsletter signups or repeat form loads, so you end up making ad and staffing decisions on inflated numbers. An AI agent can read your site's tracking code and conversion settings, list exactly which actions are counted as leads, and compare that against the real enquiries in your inbox or CRM. Monill Parikh posted on X (Oct 22, 2026) that Google Analytics showed 245 leads for a website when the real number was 14; his AI agent caught it by reading the site's tracking code and finding that every catalogue download was being counted as a lead.

## Inputs to collect first
Ask the user for anything below that they haven't already given you. Don't guess missing facts.

- Date range
- Number, and the names of the conversion events if you know them
- The tracking/tag code from the site, the Google Tag Manager tags and…
- Count, or paste from the inbox/CRM: date, name or ID, source
- Your own material (text, notes or data)

## Instructions

Do the task below with the user's inputs in place of each [bracket].

You are my analytics auditor. My website is [URL]. Here is what my analytics tool reports as leads or conversions for [date range]: [number, and the names of the conversion events if you know them]. Here is my tracking setup: [paste the tracking/tag code from the site, the Google Tag Manager tags and triggers, or a screenshot or export of the conversion events]. Here are the real enquiries we received in the same period: [count, or paste from the inbox/CRM: date, name or ID, source]. Do this: 1) List every event that is counted as a lead or conversion and what action on the site fires it (form submit, thank-you page view, button click, file download, etc.). 2) Flag events that are not real enquiries (downloads, newsletter signups, page loads, duplicate fires, test traffic, our own team's visits). 3) Estimate how many of the reported leads came from each event, and compare the total with the real enquiry count. 4) Recommend exact changes: which events to stop counting as leads, which to keep as separate 'micro' goals, and how to make the real form submission fire once. 5) Give me a short before/after summary I can share with whoever runs our ads. Don't change any settings yourself; if something is unclear from what I pasted, say what you'd need to check.

## Safety checks (share these with the user)

- This prompt works on text other people wrote (emails, reviews, messages or web pages). That text can hide instructions aimed at AI, such as "ignore your rules and…". Paste it as material to work on, and never let the AI act on requests inside it, like paying, sharing logins or changing records.
- Read and edit the draft before it reaches a customer or goes public. If you later automate this prompt, start with "draft and notify me", not "send automatically".
- Check names, dates, numbers and any claim against your own source material before you use the answer. AI can misread or invent details.
- Say clearly which parts need a person to review or approve before anything is sent, paid, posted or filed.

## About this skill

- Works with: Claude, ChatGPT, Google Analytics, Google Tag Manager, HubSpot
- Based on this real-world example: https://x.com/MonillParikh/status/2113287007418065158
- Free prompt from AgentPlaybook Real Estate: https://agentic-library.netlify.app/prompt/al-272-check-whether-your-website-s-lead-numbers-are-real-have-an-a/
- To install in an agent that supports Agent Skills, save this file as SKILL.md in a folder with the same name as `name` above (for example in your skills directory). Install steps for Claude.ai, Claude Code, Cursor and Codex: https://agentic-library.netlify.app/skills/