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Медиапроект «Умная кухня»: концепция и работа с данными.

Media Concept

Global Goal: To become the primary trusted and inspirational media guide for individuals planning renovations or updates to kitchens in standard apartments. Mission: To help our audience make informed decisions by harmonizing aesthetics, ergonomics, and strict budgetary constraints. Project monetization will be built through partnerships with manufacturers, the sale of proprietary guides (checklists, planners), and paid express consultation services for kitchen layouts. Niche Topic: Functional and aesthetic kitchen design for standard and small-sized apartments: how to combine style, ergonomics, and a limited budget.

Data Sources for Media

Demand and Relevance Analysis



Wordstat (Yandex), Google Trends: Analysis of search frequency (e.g., «kitchen in a Khrushchyovka, ” „built-in dishwasher in a small kitchen“) to build a topical plan based on the audience’s real needs.

Pinterest, Houzz: Platforms for tracking visual trends, color palettes, popular styles, and layout solutions.

Audience Understanding



Integrated Telegram and Instagram Analytics: Engagement analysis (saves, clicks, comments). Understanding which formats (long-form articles, diagrams, checklists) resonate the most.
Comments and Discussions: Direct gathering of questions, objections, and pain points from the target audience within thematic communities and beneath competitor posts.

Competitor Analysis Platforms



Telegram, Instagram, Zen: Monitoring specialized blogs (designers, renovation experts, furniture factories). Identifying weaknesses in their content (e.g., lack of technical estimates or a «salesy» tone) to shape our Unique Selling Proposition (USP).(Ozon, WB) and brand websites: Analyzing real customer reviews for hardware and appliances, as well as monitoring current prices and SKUs.

Unique Data and Fact-Checking



· Internal Expert Database: Archive of personal completed projects, real cost estimates, before-and-after photographs, and blueprints. This underpins the unique selling proposition of «Honest design, without gloss.»
· Technical Regulations and Catalogs: GOST standards, SNiP regulations, and manufacturer specifications (Blum, Hettich, etc.) for verifying facts, dimensions, and ergonomic standards.
· Partner Data: Terms of partnership programs, promo codes, and exclusive offers for the audience.

Data analysis with segmentation for technical and machine processing

Машинная обработка
Человеческая обработка

Guidelines for Automated Services

Text and Fact Handling

✅ Permitted: Using AI (ChatGPT) to generate draft text, structure lists, and simplify complex terminology. ❌ Forbidden: Publishing text without human editing. AI is not authorized to invent pricing, hardware SKUs, or technical dimensions—this data must be entered manually from verified sources.

Data Analytics

✅ Permitted: Automated price scraping from marketplaces and analyzing thousands of reviews to identify common product complaints. ❌ Forbidden: Using reviews showing signs of manipulation (short, repetitive). Transferring subscriber personal data (from chatbot checklist downloads) to public neural networks.

Tone of Voice

✅ Permitted: Using prompts with clear settings, such as: «Write expertly, in a friendly tone, avoiding clichés and vague introductions.» ❌ Forbidden: Leaving «robotic» phrases in the text (e.g., «It is important to note in the modern world…»). An expert always integrates personal experience and storytelling into the content.

Visual Content

✅ Permitted: Using neural networks (Midjourney) only for abstract post covers or backgrounds. ❌ Forbidden: Generating «kitchen photos» with AI and presenting them as real, completed projects (this violates our Unique Selling Proposition: «Honest Design»).

Monetization

✅ Permitted: Automatically inserting affiliate links into posts and daily automated checks for product availability in the store. ❌ Forbidden: Publishing links to out-of-stock items or hiding advertising disclosures.
Медиапроект «Умная кухня»: концепция и работа с данными.
Project created at 08.11.2026
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