OpenClaw

funnel-ads-helper

Diagnose and optimize full conversion funnels for paid traffic from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads campaigns.

danyangliu-sandwichlab0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install danyangliu-sandwichlab/funnel-ads-helper

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Funnel Helper

Purpose

Core mission:

Analyze conversion funnel drop-off by stage.
Identify bottlenecks from ad click to checkout or lead submit.
Recommend stage-specific optimization actions.
Define funnel experiment roadmap and expected impact.

When To Trigger

Use this skill when the user asks for:

conversion funnel diagnosis
CVR optimization planning
landing page and checkout improvement sequence
funnel experiment design tied to ROAS/CPA goals

High-signal keywords:

conversion, funnel, checkout, cvr
cpa, roas, traffic, landing page
campaign, optimize, retarget

Input Contract

Required:

funnel_stage_metrics
traffic_source_breakdown
conversion_goal
observation_window

Optional:

session_replay_notes
form_or_checkout_logs
segment_breakdowns
experiment_history

Output Contract

Funnel Stage Health Scorecard
Bottleneck Priority Ranking
Optimization Actions by Stage
Experiment Roadmap with KPI impact
Monitoring and Iteration Rules

Workflow

Normalize funnel definitions and stage metrics.
Rank drop-off severity and opportunity size.
Map root causes (message mismatch, UX friction, trust gap, etc.).
Recommend stage-specific actions and experiments.
Define monitoring thresholds and iteration cadence.

Decision Rules

If top-funnel CTR is strong but CVR is weak, prioritize LP and checkout fixes.
If add-to-cart is strong but purchase is weak, prioritize trust/payment friction fixes.
If retargeting conversion is low, review audience freshness and offer relevance.
If funnel data is sparse, run diagnostic experiments before major redesign.

Platform Notes

Primary scope:

Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads

Platform behavior guidance:

Keep funnel interpretation tied to traffic intent by channel.
Distinguish ad-side and on-site bottlenecks before action.

Constraints And Guardrails

Do not infer funnel causes without stage-l...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/danyangliu-sandwichlab/funnel-ads-helper
Version: —
Commit: 3edce7e5d0144cda5f062d2726a153a6a6d8a73f
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Funnel Helper

## Purpose
Core mission:
- Analyze conversion funnel drop-off by stage.
- Identify bottlenecks from ad click to checkout or lead submit.
- Recommend stage-specific optimization actions.
- Define funnel experiment roadmap and expected impact.

## When To Trigger
Use this skill when the user asks for:
- conversion funnel diagnosis
- CVR optimization planning
- landing page and checkout improvement sequence
- funnel experiment design tied to ROAS/CPA goals

High-signal keywords:
- conversion, funnel, checkout, cvr
- cpa, roas, traffic, landing page
- campaign, optimize, retarget

## Input Contract
Required:
- funnel_stage_metrics
- traffic_source_breakdown
- conversion_goal
- observation_window

Optional:
- session_replay_notes
- form_or_checkout_logs
- segment_breakdowns
- experiment_history

## Output Contract
1. Funnel Stage Health Scorecard
2. Bottleneck Priority Ranking
3. Optimization Actions by Stage
4. Experiment Roadmap with KPI impact
5. Monitoring and Iteration Rules

## Workflow
1. Normalize funnel definitions and stage metrics.
2. Rank drop-off severity and opportunity size.
3. Map root causes (message mismatch, UX friction, trust gap, etc.).
4. Recommend stage-specific actions and experiments.
5. Define monitoring thresholds and iteration cadence.

## Decision Rules
- If top-funnel CTR is strong but CVR is weak, prioritize LP and checkout fixes.
- If add-to-cart is strong but purchase is weak, prioritize trust/payment friction fixes.
- If retargeting conversion is low, review audience freshness and offer relevance.
- If funnel data is sparse, run diagnostic experiments before major redesign.

## Platform Notes
Primary scope:
- Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads

Platform behavior guidance:
- Keep funnel interpretation tied to traffic intent by channel.
- Distinguish ad-side and on-site bottlenecks before action.

## Constraints And Guardrails
- Do not infer funnel causes without stage-l...

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