What is b2b-pipeline-review?

A review of a B2B lead-generation pipeline across LinkedIn Ads, Google Ads, and Google Analytics 4. B2B means selling from one business to another; CPL means cost per lead, and MQL and SQL are stages used to distinguish promising leads from sales-qualified ones.

Use it to compare leads and CPL, assess lead-form and website performance, and analyze movement from marketing-qualified leads to sales-qualified leads and opportunities.

It brings lead volume, cost, website behavior, and lead quality into one review so weak or expensive parts of the pipeline are easier to find.

b2b-pipeline-review — Command for Claude Code by Ad-Superpowers

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-plugin

Made for: Claude Code.

Or install ad-superpowers, the plugin that ships this one along with the rest of its 17 skills, 35 commands, 5 agents, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/b2b-pipeline-review/github.svg)](https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/b2b-pipeline-review)

Your own site

<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/b2b-pipeline-review"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/b2b-pipeline-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/b2b-pipeline-review"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/b2b-pipeline-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 630 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00028	$0.00630
Opus 5	$0.00014	$0.00315
Sonnet 5	$0.00006	$0.00126
Haiku 4.5	$0.00003	$0.00063

Measured 9d ago against content hash 33190ad2c765, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

b2b-pipeline-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/commands/b2b-pipeline-review.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

B2B Pipeline Review

Perform a B2B lead generation pipeline review focused on lead quality and cost efficiency.

Step 1: Gather Lead Gen Data

LinkedIn Ads:

linkedin_list_ad_accounts → linkedin_get_analytics for lead metrics
linkedin_query for campaign-level lead form performance
Key metrics: leads, CPL, lead form completion rate, cost per qualified lead

Google Ads:

google_ads_run_gaql for lead gen campaigns:

SELECT campaign.name, metrics.conversions, metrics.cost_per_conversion, metrics.conversions_value
FROM campaign
WHERE campaign.advertising_channel_type = 'SEARCH'
AND segments.date DURING LAST_30_DAYS

GA4:

ga4_run_report for website lead behavior: form submissions, demo requests, content downloads

Step 2: Lead Volume & Cost Analysis

Platform	Leads	CPL	Budget	Trend (vs prev period)
LinkedIn	...	...	...	...
Google Ads Search	...	...	...	...
Google Ads Display	...	...	...	...
Total	...	...	...	...

Step 3: Lead Quality Assessment

If CRM data is available, analyze:

MQL → SQL conversion rate (benchmark: 20-30%)
SQL → Opportunity rate (benchmark: 40-60%)
Opportunity → Closed Won rate (benchmark: 15-25%)
Average deal size from ad-sourced leads
Cost per SQL (the true efficiency metric)

If no CRM data, assess quality signals:

Form completion rates (higher = lower friction but potentially lower quality)
Time on site after lead submission
Return visit rate of leads
LinkedIn audience quality (seniority level, company size)

Step 4: Platform Comparison

Metric	LinkedIn	Google Ads	Benchmark
CPL	...	...	LinkedIn: €30-150, Google: €15-80
Lead Quality	...	...	LinkedIn typically higher quality
Volume	...	...	Google typically higher volume
Best for	...	...	...

Read the full file on GitHub · 69 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago First seen · 69 lines · 28 tokens per session scan A 33190ad2c765

Subscribe to this mod's changes

b2b-pipeline-review is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 11d ago), licensed MIT. It adds 28 tokens to every session and 630 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metrics Claude Code Marketing and SEO advertising attribution campaign-optimization claude ga4

b2b-pipeline-review

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

B2B Pipeline Review

Step 1: Gather Lead Gen Data

Step 2: Lead Volume & Cost Analysis

Step 3: Lead Quality Assessment

Step 4: Platform Comparison

What this file has done since we first saw it

Other commands, from other repositories

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