---
title: "Revenue Leak Detection"
description: "Find invisible revenue loss caused by bot traffic, broken pages, weak landing pages, and channel decay. Sealmetrics MCP prompts for ICPs in hospitality and ecommerce."
canonical_url: "https://docs.sealmetrics.com/web-analytics-prompts/revenue-leak"
lang: "en"
date_generated: "2026-08-27T14:18:06.639Z"
source_hash: "93060aae9f770793b2299ca6270e2519cd2842983668aecb4794579716619246"
content_type: "documentation"
owner: "docs"
llm_priority: "useful"
source_file: "web-analytics-prompts/01-revenue-leak.mdx"
publisher: "Sealmetrics"
---

# Revenue Leak Detection

Canonical page: https://docs.sealmetrics.com/web-analytics-prompts/revenue-leak

Surface hidden revenue loss caused by broken landing pages, bot traffic, and decaying channels. All prompts use the Sealmetrics MCP server only.

**MCPs required:** Sealmetrics MCP
**Best for:** CMOs, Ecommerce Managers, Sales & Direct Directors
**Difficulty:** Basic to intermediate

---

## SEAL-001 — High-bounce landing pages with traffic

```text
You are a senior web analyst with access to the Sealmetrics MCP for site {site_id}.

Context:
- Today is {today}.
- Time range: last 30 days vs previous 30 days.
- We want to surface landing pages that are bleeding revenue because of poor first impression.

Task:
1. List every landing page that received more than 500 entrances in the last 30 days AND has a bounce rate above 70%.
2. For each page, return: URL, entrances, bounce rate, conversion rate, conversions, micro-conversions, % delta vs previous 30 days.
3. Rank by "lost entrances" = entrances × bounce_rate.
4. For the top 10, propose 3 plausible hypotheses for the high bounce (intent mismatch, slow load, broken layout, weak headline, irrelevant traffic source).

Output format: a markdown table sorted by lost entrances desc, followed by the top 10 hypotheses block.
```

---

## SEAL-002 — Pages with traffic but zero conversions

```text
Using Sealmetrics MCP for site {site_id}, find every page that received more than 200 visits in the last 14 days and has zero conversions AND zero micro-conversions.

For each page return:
- URL, page type (landing or internal), entrances, pageviews, bounce rate, average time on page, top 3 traffic sources.

After the table, propose 2 optimization hypotheses per page (CTA clarity, content depth, intent mismatch, technical issue).

Order the table by entrances desc. Limit output to 25 pages max.
```

---

## SEAL-003 — Bot and agent traffic cost estimate

```text
For site {site_id}, retrieve bot and agent-suspected traffic from Sealmetrics MCP for the last quarter (last 90 days).

Compute and report:
1. Total sessions classified as bot or agent_suspected.
2. Distribution of those sessions by traffic source (top 10 sources).
3. % of total entrances that were bot/agent.
4. % of paid traffic (utm_medium = cpc/paid/ppc) that was bot/agent.
5. If I tell you my average paid CPC ({avg_cpc}€), estimate the wasted ad spend on bot traffic alone.

Format: 1 summary table + 1 narrative paragraph with the wasted spend estimate flagged in bold.
```

---

## SEAL-004 — Channel decay alert

```text
Using Sealmetrics MCP for site {site_id}, compare conversions and revenue by channel (utm_source / utm_medium) for the last 30 days vs the prior 30 days.

For each channel return:
- Channel name, entrances current vs previous, conversions current vs previous, revenue current vs previous, % delta on each metric.

Highlight every channel with a conversion drop greater than 20%. For each highlighted channel, also list the campaigns (utm_campaign) responsible for the bulk of the drop.

Output: 1 main table sorted by revenue lost desc, plus a "campaigns to investigate" section underneath.
```

---

## SEAL-005 — Catastrophic landing pages audit

```text
For site {site_id}, query Sealmetrics MCP for the last 30 days and return every page with ALL of the following:
- More than 100 visits
- Bounce rate above 85%
- Zero micro-conversions

Columns: URL, entrances, bounce rate, average time on page, top traffic source, content group (if available).

Sort by entrances desc. Mark with "🔴 KILL" any page with zero conversions across the last 90 days, "🟡 FIX" the rest.

Then propose: a) which pages to deindex/redirect, b) which pages to rewrite, c) which pages to test with a different audience.
```

---

## See also

- [Conversion Optimization](./conversion-optimization)
- [Spend Efficiency](./spend-efficiency)
- [Forecasting](./forecasting)