
THE ULTIMATE ARTIST BRANDING TOOLKIT
۰ ۰ متن
<Brief> Brand Name: [BRAND NAME] Industry / Niche: [e.g., pet products, home goods, fitness equipment] Product Category: [e.g., dog beds and furniture, resistance bands, kitchen storage] Known Direct Competitors: [Competitor 1], [Competitor 2], [Competitor 3] Primary Customer Type: [e.g., dog owners, home cooks, budget-conscious parents] Key Community Spaces (if known): [e.g., r/xxfitness, r/mealprep — leave blank if unknown] Output Purpose: [e.g., copywriting, ad creative, email strategy, content calendar] </Brief>
<Brief> Brand Name: [BRAND NAME] Industry / Niche: [e.g., pet products, home goods, fitness equipment] Product Category: [e.g., dog beds and furniture, resistance bands, kitchen storage] Known Direct Competitors: [Competitor 1], [Competitor 2], [Competitor 3] Primary Customer Type: [e.g., dog owners, home cooks, budget-conscious parents] Key Community Spaces (if known): [e.g., r/xxfitness, r/mealprep — leave blank if unknown] Output Purpose: [e.g., copywriting, ad creative, email strategy, content calendar] </Brief> <Task> You are an expert qualitative market researcher and consumer insights analyst. Your objective is to conduct a comprehensive Voice of Customer (VoC) analysis for [BRAND NAME] — a [INDUSTRY/NICHE] eCommerce brand — by mining publicly available online sources where their audience actively engages. Your final output will be used to inform [OUTPUT PURPOSE]. </Task> <Instructions> <step> Step 1 — Research Plan Before searching, outline the specific sources you will investigate and the search queries you will use for each. Tailor your source selection to [INDUSTRY / NICHE] and [PRIMARY CUSTOMER TYPE]. Your source list should include, at minimum: - Relevant subreddits where [PRIMARY CUSTOMER TYPE] congregates - Amazon product reviews for [BRAND NAME]'s products (if listed) - Amazon product reviews for [KNOWN DIRECT COMPETITORS]'s top-selling products - Amazon book reviews for top-selling books in the [INDUSTRY / NICHE] space - Trustpilot, Google Reviews, or BBB reviews for [BRAND NAME] and direct competitors - YouTube comment sections on relevant [INDUSTRY / NICHE] channels or product reviews - Niche forums, Facebook Group language patterns, or Q&A platforms (Quora, Reddit) - Blogger comment sections and product roundup articles in the [PRODUCT CATEGORY] space State your full source plan before beginning any research. </step> <step> Step 2 — Active Research Execute your research plan. Use web search to gather real data from the sources above. For EACH source category, document: - Exact quotes or close paraphrases used by real customers or community members - Recurring complaints, frustrations, and objections - Recurring praise language and purchase motivators - Specific words, phrases, and metaphors used to describe [PRODUCT CATEGORY] and experiences Do not generalize at this stage. Capture raw, specific data with source labels. </step> <step> Step 3 — Qualitative Coding Using a grounded theory / qualitative research coding methodology, analyze the data collected. Apply the following coding layers: - Open Codes: Surface-level topics and recurring keywords (e.g., "won't hold up," "my kid loves it," "finally found one that works") - Axial Codes: Group open codes into thematic categories (e.g., "Durability Expectations," "Emotional Investment," "Value vs. Price Sensitivity") - Selective Codes: Identify the 4–6 core themes that dominate this audience's worldview and purchase decision-making Present codes in a structured table or labeled list with supporting quote examples for each. </step> <step> Step 4 — Pain Points & Decision Motivators Produce two clearly separated lists: Pain Points (ranked by frequency and emotional intensity): - Use specific, verbatim-style audience language to describe each problem - Note if any pain points are category-wide vs. specific to [BRAND NAME] Decision Motivators: - Separate rational motivators (price, sizing, durability, return policy) from emotional motivators (identity, aspiration, guilt reduction, community belonging) - Note which motivators appear most frequently in positive reviews and conversion moments </step> <step> Step 5 — Language & Voice Glossary Extract the specific vocabulary this audience uses. Organize into: - Power Phrases — high-frequency, emotionally charged expressions - Objection Language — how they describe bad experiences or purchase hesitation - Aspiration Language — how they describe ideal outcomes - Trust Signals — language that indicates a brand has earned their confidence - Category Jargon — niche-specific terms this audience uses fluently Format as a scannable reference table. This section should function as a copywriter swipe file. </step> <step> Step 6 — Strategic Summary Write a final synthesis (400–600 words) that answers: - Who is this audience at their core — beyond demographics? - What do they most fear getting wrong about [PRODUCT CATEGORY]? - What do they most want to feel when they make a purchase? - What messaging angles are most likely to convert this audience? - What messaging angles should [BRAND NAME] avoid? Close with 3 specific, actionable copy direction recommendations grounded in your findings. </step> </Instructions> <Output_Format> - Section headers should match each step label - Use bullet points within Steps 1–5 - Include "Audience Voice:" callouts for direct quote examples throughout - Step 5 Language Glossary should be formatted as a table - Step 6 Strategic Summary should be written in prose combined with summary bullet points </Output_Format>
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