Analytics Marketing

Q: Why use Analytics Marketing on TypingMind?

Because you install it once and use it with any model. Analytics Marketing 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 Analytics Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/analytics-marketing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Analytics Marketing?

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 Analytics Marketing?

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

Q: Is the Analytics Marketing AI skill free?

It is published on GitHub by nguyenphp. 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.

Community

nguyenphp

analytics-marketing

Marketing analytics, attribution models, KPI tracking, dashboards, and data-driven decision making.

Overview

Publisher	nguyenphp
Repository	`antigravity-marketing`
Skill name	`analytics-marketing`
Stars	52
Forks	12
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by nguyenphp on GitHub. Read the source before you install it.

Installation

Install the Analytics Marketing 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.
https://github.com/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/analytics-marketing
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/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/analytics-marketing

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.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/nguyenphp/antigravity-marketing.git /tmp/antigravity-marketing
mkdir -p .claude/skills
cp -r /tmp/antigravity-marketing/templates/.agent/skills/analytics-marketing .claude/skills/analytics-marketing

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analytics Marketing 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 Analytics Marketing 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 Analytics Marketing 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 Analytics

Transform data into actionable marketing insights.

1. Analytics Framework

Layer	Focus	Tools
Collection	Tracking, tagging	GA4, GTM, Segment
Storage	Data warehouse	BigQuery, Snowflake
Analysis	Insights, patterns	Looker, Tableau
Action	Optimization	A/B tools, personalization

2. Key Marketing Metrics

Acquisition Metrics

Metric	Formula	Benchmark
CAC	Total acquisition cost / New customers	Industry varies
CPL	Ad spend / Leads generated	$5-$50 B2B
CPC	Ad spend / Clicks	$1-$5 avg
CPM	(Ad spend / Impressions) × 1000	$5-$15 avg

Engagement Metrics

Metric	Formula	Good
Bounce rate	Single-page sessions / Total sessions	< 40%
Pages/session	Pageviews / Sessions	> 2
Avg session duration	Total duration / Sessions	> 2 min
Engagement rate	Engaged sessions / Total sessions	> 50%

Conversion Metrics

Metric	Formula	Good
Conversion rate	Conversions / Visitors	2-5%
Lead-to-customer	Customers / Leads	10-20%
Cart abandonment	Abandonments / Carts created	< 70%
Checkout abandonment	Abandonments / Checkouts started	< 50%

Revenue Metrics

Metric	Formula
LTV	ARPU × Customer lifetime
LTV:CAC	LTV / CAC (target > 3:1)
ROAS	Revenue / Ad spend
MER	Revenue / Total marketing spend

3. Attribution Models

Common Models

Model	How It Works	Best For
Last click	100% to final touchpoint	Direct response
First click	100% to first touchpoint	Awareness
Linear	Equal across all touchpoints	Long cycles
Time decay	More weight to recent	B2B
Position-based	40-20-40 first/mid/last	Balanced
Data-driven	ML-based allocation	High volume

Multi-Touch Attribution

Stage	Touchpoint Credit
Awareness	First-touch heavy
Consideration	Mid-touch matters
Decision	Last-touch heavy

4. Google Analytics 4 (GA4)

Key Differences from UA

UA	GA4
Sessions	Events
Bounce rate	Engagement rate
Goals	Conversions
Views	Data streams

Essential Events

Event	Purpose
page_view	Page tracking
purchase	Revenue tracking
generate_lead	Lead capture
sign_up	Registration
begin_checkout	Funnel start
add_to_cart	E-commerce

Custom Dimensions

Dimension	Use Case
user_id	Cross-device
membership_tier	Segmentation
content_group	Content analysis
experiment_id	A/B testing

5. Dashboard Design

Marketing Dashboard Structure

Section	Metrics
Overview	Revenue, sessions, conversions
Acquisition	Traffic sources, CAC, new users
Engagement	Bounce rate, time on site
Conversion	Conversion rate, funnel
Revenue	ROAS, LTV, AOV

Visualization Best Practices

Metric Type	Best Visual
Trend over time	Line chart
Comparison	Bar chart
Composition	Pie/stacked bar
Distribution	Histogram
Relationship	Scatter plot
KPIs	Big numbers

6. Funnel Analysis

Standard Marketing Funnel

Stage	Metrics
Awareness	Impressions, reach
Interest	Clicks, site visits
Consideration	Lead form starts, cart adds
Intent	Form completions, checkouts
Purchase	Transactions, revenue
Loyalty	Repeat purchases, referrals

Funnel Metrics

Metric	Formula
Stage conversion	Next stage / Current stage
Overall conversion	Final stage / First stage
Drop-off rate	1 - Stage conversion
Funnel velocity	Avg time between stages

7. Cohort Analysis

Cohort Types

Type	Example
Acquisition	Users by signup month
Behavioral	Users by first action
Demographic	Users by segment

Retention Cohort Table

Cohort	Week 0	Week 1	Week 2	Week 3
Jan W1	100%	45%	30%	25%
Jan W2	100%	42%	28%	22%
Jan W3	100%	48%	32%	27%

8. Marketing Mix Modeling (MMM)

Purpose

Measure channel effectiveness
Optimize budget allocation
Account for external factors

Variables

Type	Examples
Media	TV, digital, OOH
Base	Brand, distribution
External	Seasonality, economy
Competition	Competitor activity

9. A/B Test Analysis

Statistical Significance

Sample	Min Detectable Effect
1,000	20%+
10,000	5-10%
100,000	2-5%

Test Metrics

Metric	Purpose
Conversion rate	Primary metric
Revenue/user	Revenue impact
Confidence	Statistical validity
P-value	< 0.05 for significance

10. Reporting Cadence

Report Types

Report	Frequency	Audience
Real-time	Live	Operations
Daily	Every day	Marketing team
Weekly	Every week	Marketing leads
Monthly	Every month	Leadership
Quarterly	Every quarter	Executive

Report Structure

Section	Content
Summary	Key highlights, changes
Performance	Metrics vs goals
Insights	Why it happened
Actions	What to do next

Remember: Data without action is just noise. Always tie analytics to decisions and outcomes.

Frequently asked questions

What does the Analytics Marketing AI skill do?

Marketing analytics, attribution models, KPI tracking, dashboards, and data-driven decision making.

Why use Analytics Marketing on TypingMind?

Because you install it once and use it with any model. Analytics Marketing 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 Analytics Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nguyenphp/antigravity-marketing/tree/main/templates/.agent/skills/analytics-marketing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Analytics Marketing?

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 Analytics Marketing?

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

Is the Analytics Marketing AI skill free?

It is published on GitHub by nguyenphp. 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

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Marketing Analytics

1. Analytics Framework

2. Key Marketing Metrics

Acquisition Metrics

Engagement Metrics

Conversion Metrics

Revenue Metrics

3. Attribution Models

Common Models

Multi-Touch Attribution

4. Google Analytics 4 (GA4)

Key Differences from UA

Essential Events

Custom Dimensions

5. Dashboard Design

Marketing Dashboard Structure

Visualization Best Practices

6. Funnel Analysis

Standard Marketing Funnel

Funnel Metrics

7. Cohort Analysis

Cohort Types

Retention Cohort Table

8. Marketing Mix Modeling (MMM)

Purpose

Variables

9. A/B Test Analysis

Statistical Significance

Test Metrics

10. Reporting Cadence

Report Types

Report Structure

Frequently asked questions

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