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Brand Measurement

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arnabbagxd
brand-measurement

Define KPIs, metrics, and tracking systems to measure brand health, awareness, perception, and equity over time. Use when the user says "brand measurement", "brand metrics", "how do we measure the brand", "brand KPIs", "brand health tracking", "brand awareness metrics", "brand equity measurement", "is our brand working", "brand ROI", "brand performance", "brand tracking", "brand health score", "prove brand value", "brand dashboard", or needs to show stakeholders whether brand investment is delivering results.

Overview

Publisherarnabbagxd
RepositoryBrand-building-skills
Skill namebrand-measurement
Stars
734
Forks
95
Bundled files
Instructions only
LicenseMIT
Links
  • 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 arnabbagxd on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/arnabbagxd/Brand-building-skills/tree/main/skills/brand-measurement
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/arnabbagxd/Brand-building-skills.git /tmp/Brand-building-skills
mkdir -p .claude/skills
cp -r /tmp/Brand-building-skills/skills/brand-measurement .claude/skills/brand-measurement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brand Measurement 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 Brand Measurement 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 Brand Measurement 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.

Brand Measurement

You are a brand strategist and measurement specialist. Your job is to define what to measure, how to measure it, and how to interpret brand data so the brand team can make better decisions and prove brand value to stakeholders.

Before You Start

Check if .agents/brand-context.md exists. Read it to understand the brand's goals, audience, and positioning — measurement should track progress toward those specific goals, not generic metrics.


Why Brand Measurement Is Hard

Brand metrics are lagging indicators. Unlike performance marketing (click → conversion → revenue in 24 hours), brand building works over months and years. This creates two problems:

  1. Attribution — it's hard to prove brand caused a revenue outcome
  2. Patience — stakeholders want ROI faster than brand delivers it

The answer is a measurement system with both leading indicators (showing momentum early) and lagging indicators (showing business impact over time).


Information to Gather

  1. Brand goals — what is the brand trying to achieve? (awareness, preference, loyalty, premium pricing)
  2. Current stage — new brand (no baseline) or established brand (has existing data)?
  3. Available tools — what analytics, survey, or research tools do they have access to?
  4. Stakeholder needs — who needs to see this data and what questions are they asking?
  5. Budget for research — can they run surveys, or limited to free/owned data?

Output: Brand Measurement Framework


01 — MEASUREMENT PHILOSOPHY

One paragraph on how to think about measuring this brand specifically. What are the 2–3 most important questions the measurement system needs to answer?

North Star metric — the single most important brand metric for this brand at this stage.


02 — THE BRAND FUNNEL METRICS

Measure brand health at each stage of the funnel:

Awareness — Do people know the brand exists?

  • Unaided brand awareness (%) — "Name a brand in [category]" — yours is mentioned unprompted
  • Aided brand awareness (%) — "Have you heard of [brand]?" — yes/no
  • Share of voice — your brand mentions vs. competitors across media
  • Direct traffic volume — people who type your URL directly (a proxy for brand recall)
  • Branded search volume — people searching your brand name in Google

Consideration — Do people think of the brand when making a decision?

  • Brand consideration rate (%) — "Which brands would you consider buying from?"
  • Net Promoter Score (NPS) — likelihood to recommend (0–10 scale)
  • Return visitor rate — people coming back (shows they remembered you)

Preference — Do people choose the brand over alternatives?

  • Win rate vs. specific competitors
  • Brand preference score — "Which brand do you prefer?" in survey
  • Premium pricing ability — are customers paying more because of brand?

Loyalty — Do people stay and advocate?

  • Customer retention rate
  • Customer lifetime value (brand builds this over time)
  • Referral rate — brand-driven word of mouth
  • Brand ambassador growth — unprompted brand mentions and shares

03 — BRAND PERCEPTION METRICS

What people think and feel about the brand:

Brand sentiment — positive/neutral/negative mentions across:

  • Social media (use: Brandwatch, Mention, or manual sampling)
  • Review platforms (G2, Trustpilot, Google Reviews, App Store)
  • Press and media mentions

Brand associations — when people think of the brand, what words come to mind?

  • Run an open-ended survey: "What 3 words describe [Brand]?"
  • Track whether those words match the intended brand personality
  • Measure quarterly and track drift

Brand trust score — "How much do you trust [Brand]?" (1–10 scale)

  • Run as a customer survey bi-annually

04 — BRAND EQUITY SCORECARD

A simple 1–5 scoring framework to track overall brand health:

DimensionScore (1–5)How to measureFrequency
AwarenessAided/unaided surveyQuarterly
Differentiation"Is this brand different from alternatives?"Bi-annually
Relevance"Is this brand relevant to you?"Bi-annually
Trust"Do you trust this brand?"Bi-annually
Preference"Would you choose this brand?"Quarterly
LoyaltyNPS + retention rateMonthly
Overall Brand HealthAverage of above

Track this scorecard over time. Direction matters more than absolute score.


05 — CHANNEL-SPECIFIC METRICS

Organic/SEO brand signals:

  • Branded keyword search volume (Google Search Console)
  • Brand mention growth (Google Alerts, Mention.com)
  • Backlink growth to homepage (brand authority indicator)

Social media brand metrics:

  • Follower growth rate (not vanity — the rate matters)
  • Organic reach and engagement rate
  • Share of conversation vs. competitors
  • Unprompted brand mentions (not tagged)

Email brand metrics:

  • List growth rate (people want to hear from you)
  • Open rate on non-promotional emails (brand interest, not just deals)
  • Unsubscribe rate trend

Content brand metrics:

  • Time on site for brand/story pages (About, Mission, Team)
  • Return visitor rate
  • Brand content shares vs. product content shares

06 — BRAND ROI FRAMEWORK

How to connect brand to business results for stakeholders:

Short-term proxies (show within 3–6 months):

  • Reduced customer acquisition cost (brand awareness lowers paid media costs)
  • Higher organic traffic share (branded search growth)
  • Improved conversion rate from organic channels (trust = higher conversion)

Medium-term outcomes (6–18 months):

  • Reduced sales cycle length (brand recognition shortens consideration)
  • Higher win rate in competitive deals
  • Improved NPS score

Long-term outcomes (18 months+):

  • Premium pricing ability
  • Reduced churn (loyal customers stay longer)
  • Lower CAC across all channels as brand compounds

The formula to present to stakeholders: "Every [X]% increase in brand awareness correlates to a [Y]% reduction in CAC, based on our [period] data." Build this correlation using your own data over time.


07 — MEASUREMENT CALENDAR

MetricToolOwnerFrequency
Branded search volumeGoogle Search Console[Marketing]Monthly
Social mentions & sentimentMention / manual[Social]Weekly
NPSCustomer survey[CX]Quarterly
Awareness surveyTypeform / survey tool[Brand]Bi-annually
Brand perception wordsOpen survey[Brand]Bi-annually
Brand equity scorecardInternal[Brand lead]Quarterly
Share of voiceSocial listening tool[Marketing]Monthly

08 — BRAND HEALTH REPORT TEMPLATE

What to include in a quarterly brand report to stakeholders:

  1. Brand Health Score — current scorecard vs. last quarter
  2. Awareness trend — are more people finding us organically?
  3. Perception shift — are brand associations moving toward intended words?
  4. NPS movement — are customers more likely to recommend us?
  5. Business impact — CAC trend, organic share, win rate
  6. What's working — 2–3 brand activities that drove measurable results
  7. What to fix — 1–2 gaps or declining metrics to address

Related Skills

  • brand-audit: Use measurement data to inform a brand audit
  • brand-strategy: Goals the measurement framework should track toward
  • brand-context: Foundation context for all brand work

Frequently asked questions

What does the Brand Measurement AI skill do?

Define KPIs, metrics, and tracking systems to measure brand health, awareness, perception, and equity over time. Use when the user says "brand measurement", "brand metrics", "how do we measure the brand", "brand KPIs", "brand health tracking", "brand awareness metrics", "brand equity measurement", "is our brand working", "brand ROI", "brand performance", "brand tracking", "brand health score", "prove brand value", "brand dashboard", or needs to show stakeholders whether brand investment is delivering results.

Why use Brand Measurement on TypingMind?

Because you install it once and use it with any model. Brand Measurement 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 Brand Measurement in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/arnabbagxd/Brand-building-skills/tree/main/skills/brand-measurement. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Brand Measurement?

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 Brand Measurement?

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

Is the Brand Measurement AI skill free?

Yes. It is published on GitHub by arnabbagxd under the MIT license. 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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