Analyzing Marketing Campaign

Q: Why use Analyzing Marketing Campaign on TypingMind?

Because you install it once and use it with any model. Analyzing Marketing Campaign is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

Q: How do I install Analyzing Marketing Campaign in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datawhalechina/agent-skills-with-anthropic/tree/main/6.Creating%20Custom%20Skills（自定义skills）/analyzing-marketing-campaign. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Analyzing Marketing Campaign?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

Q: How many AI models can I use with Analyzing Marketing Campaign?

As many as you like. As long as a model supports skills, you can use Analyzing Marketing Campaign with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the Analyzing Marketing Campaign AI skill free?

It is published on GitHub by datawhalechina. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

Q: What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

Q: How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

OrganizationPopular

datawhalechina

analyzing-marketing-campaign

Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.

Overview

Publisher	datawhalechina
Repository	`agent-skills-with-anthropic`
Skill name	`analyzing-marketing-campaign`
Stars	1.5K
Forks	198
Bundled files	1
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by datawhalechina on GitHub. Read the source before you install it.

Installation

Install the Analyzing Marketing Campaign AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/datawhalechina/agent-skills-with-anthropic/tree/main/6.Creating%20Custom%20Skills（自定义skills）/analyzing-marketing-campaign

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Analyzing Marketing Campaign in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Analyzing Marketing Campaign on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Analyzing Marketing Campaign is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Marketing Campaign Analysis

Automated analysis of multi-channel marketing campaign data.

Input Requirements

Expects campaign data in CSV format with these columns:

date: Campaign date
campaign_name: Campaign identifier
channel: Marketing channel
segment: Customer segment
impressions: Ad impressions (empty for Email channel)
clicks: Number of clicks
conversions: Number of conversions
spend: Marketing spend in dollars
revenue: Revenue generated in dollars
orders: Number of orders

Data Quality Check

Check for missing values and empty cells (Email channel won't have impressions)
Verify no negative values in numeric columns
Flag anomalies (e.g., conversions without clicks)

Funnel Analysis

Calculate per channel:

Click Through Rate (CTR) = clicks / impressions × 100
Conversion Rate (CVR) = conversions / clicks × 100

Compare to user-provided benchmarks, report difference in percentage points and provide brief interpretation for each channel. If benchmarks are not provided, use these historical values:

Channel	CTR	CVR
Facebook_Ads	2.5%	3.8%
Google_Ads	5.0%	4.5%
TikTok_Ads	2.0%	0.9%
Email	15.0%	2.1%

Efficiency Analysis

Calculate per channel:

Return On Ad Spend (ROAS) = revenue / spend
Cost Per Acquisition (CPA) = spend / conversions
Net Profit = revenue - Total Costs
- Total Costs = spend + (orders × Shipping Cost) + (revenue × Product Cost %)
- Unless user specifies different values, use:
  - Shipping Cost: $8 per order
  - Product Cost: 35% of revenue

Compare to user-provided targets. If not provided, use these defaults:

Target ROAS: 4.0x minimum
Max CPA: $50

Output Format

Present results as tables with status indicators:

Status indicators:

ROAS: "[OK] Above" if >= target, "[X] Below" if < target
CPA: "[OK] Below" if <= max, "[X] Above" if > max
Net Profit: "[OK] Positive" if > 0, "[X] Negative" if <= 0

Follow each table with brief channel-by-channel interpretation highlighting key insights and recommended actions.

Budget Reallocation

If user asks about budget reallocation, read references/budget_reallocation_rules.md for the complete decision framework including eligibility rules, performance-based actions, and constraints.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/budget_reallocation_rules.md4 KB

Frequently asked questions

What does the Analyzing Marketing Campaign AI skill do?

Why use Analyzing Marketing Campaign on TypingMind?

Because you install it once and use it with any model. Analyzing Marketing Campaign is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Analyzing Marketing Campaign in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datawhalechina/agent-skills-with-anthropic/tree/main/6.Creating%20Custom%20Skills（自定义skills）/analyzing-marketing-campaign. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Analyzing Marketing Campaign?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Analyzing Marketing Campaign?

As many as you like. As long as a model supports skills, you can use Analyzing Marketing Campaign with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Analyzing Marketing Campaign AI skill free?

It is published on GitHub by datawhalechina. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Use it in TypingMind

Works with any AI model

Skill instructions

Marketing Campaign Analysis

Input Requirements

Data Quality Check

Funnel Analysis

Efficiency Analysis

Output Format

Budget Reallocation

Bundled files

Frequently asked questions

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