{"ok":true,"case":{"id":27,"category_id":5,"slug":"shein","brand":"SHEIN","title":"SHEIN: Fashion discovery at social speed","summary":"Style creators translate SHEIN’s rapid assortment into wearable edits, occasion ideas and audience-led styling conversations.","markets":"United States · Europe","platforms":"TikTok · Instagram · YouTube","challenge_text":"A large assortment can generate attention without helping someone decide what to wear. For SHEIN, the proposed editorial challenge is to turn product discovery into a recognisable styling problem: choosing an outfit for an occasion, combining pieces already owned or deciding which look feels personal. The content should make the creator's decisions visible rather than use the number of items shown as the main source of excitement.\n\nRapid assortment also creates a practical tension between a video that remains useful and a product selection that may change. The story should retain value through its styling logic, while any linked item, price or availability would need checking before publication. Creators should be able to explain fit and preference in their own context without implying that the same garment will suit every body or perform identically for every buyer.","strategy_text":"Styling series, capsule challenges and community-voted outfits would each answer a different question. A styling series could show how one starting idea changes across occasions. A capsule challenge could make the limits explicit and explore combinations within them. A community vote could reveal what viewers prioritise, with the follow-up explaining the creator's choice instead of treating the most popular option as automatically the best one.\n\nThe proposed creator mix would favour people with a clear styling point of view and an ability to explain proportion, pairing and occasion. Audience relevance should be assessed through the kinds of questions viewers ask, not only broad fashion interest. Briefs would leave room for individual taste while requiring clear separation between observed fit, subjective preference and unverified product claims. The editorial link across formats would be a reasoned outfit decision that viewers can adapt to their own circumstances.","execution_text":"Preparation would start with an outfit brief covering the occasion, the styling constraint and the items available to the creator. Actual receipt and use would have to be confirmed before any first-person trial language is written. BlueStorm could manage creator selection, agreed content scope and local review, then check that the proposed item selection supports the story rather than filling the video with unrelated products.\n\nTikTok and Instagram versions could reveal a styling choice and show the full outfit in enough detail to understand it. YouTube could make room for alternate combinations and the reasons some were rejected. If a community vote is used, the team should define what viewers are choosing and how their responses will inform the next piece; a vote should not be presented as evidence of universal preference.\n\nThe final review should check visible garment details, stated sizing context, current links and any commercial disclosures required for the planned use. Edits should not conceal relevant limitations or turn a personal styling opinion into an unsupported quality comparison.","results_text":"The learning goal would be to find whether viewers move from noticing products to discussing styling choices. Saves of outfit references, comments about adapting combinations and responses to a clearly framed vote could help distinguish useful relevance from passing attention. Product visits, where measurable, would be read alongside those signals; a click alone does not establish fit satisfaction or a completed purchase.\n\nIf discussion concentrates on item quantity or price while ignoring the proposed occasion, the story may still be functioning as a generic haul. If viewers cannot identify the intended combination, the edit may need fewer items and more time on the reasoning. The next iteration should address that specific weakness through a tighter constraint or clearer outfit comparison. A follow-up styling piece could use those unresolved choices as its brief, so the series develops around how people want to dress rather than simply adding more products.","metric_1_value":"35200000","metric_1_label":"Views","metric_2_value":"105","metric_2_label":"Creators","metric_3_value":"2.8%","metric_3_label":"Add-to-cart conversion rate increase","logo_path":"/brand-logos/shein.png","cover_path":"","is_demo":0,"case_type":"real","reporting_scope":"2025-09-01 to 2026-09-20. Platforms: TikTok, Instagram, YouTube. Total views of project creator content, including paid promotion. Unique creators who participated and published outfit series, capsule wardrobe challenges or community-voted outfits. Recorded totals: 35,200,000 views; 105 creators.","category_name":"E-Commerce","category_slug":"e-commerce","translation_incomplete":0,"metrics":[{"value":"35.2M","label":"Views"},{"value":"105","label":"Creators"},{"value":"2.8%","label":"Add-to-cart conversion rate increase"}]},"related":[{"id":29,"category_id":5,"slug":"temu","brand":"Temu","title":"Temu: Turning value discovery into entertainment","summary":"Deal-savvy creators make Temu discovery understandable through themed baskets, product trials and transparent value comparisons.","markets":"Latin America · Southeast Asia","platforms":"TikTok · Instagram · YouTube","logo_path":"/brand-logos/temu.png","cover_path":"","is_demo":0,"case_type":"real","reporting_scope":"2025-09-01 to 2026-10-10. Platforms: TikTok, Instagram, YouTube. Total views of project creator content, including paid promotion and organic distribution. Unique creators who participated and published budget challenges, category unboxings or expectation-versus-reality reviews. Recorded totals: 38,400,000 views; 98 creators.","category_name":"E-Commerce","category_slug":"e-commerce","translation_incomplete":0,"metrics":[{"value":"38.4M","label":"Views"},{"value":"98","label":"Creators"},{"value":"15%","label":"New customer acquisition cost reduction"}]},{"id":28,"category_id":5,"slug":"aliexpress","brand":"AliExpress","title":"AliExpress: Global selection, locally decoded","summary":"Creators curate AliExpress’s vast marketplace into relevant product finds, use cases and shopping guidance for local audiences.","markets":"Brazil · United States","platforms":"TikTok · Instagram · YouTube","logo_path":"/brand-logos/aliexpress.png","cover_path":"","is_demo":0,"case_type":"real","reporting_scope":"2025-08-15 to 2026-09-30. Platforms: TikTok, Instagram, YouTube. Views of published project creator content, including organic views and paid amplification; brand-owned account content is excluded. Unique creators, including those who have published and those contracted but yet to publish. Recorded totals: 27,485,600 views; 68 creators.","category_name":"E-Commerce","category_slug":"e-commerce","translation_incomplete":0,"metrics":[{"value":"27.4856M","label":"Views"},{"value":"68","label":"Creators incl. contracted"},{"value":"2.847M","label":"Content interactions"}]},{"id":26,"category_id":5,"slug":"amazon","brand":"Amazon","title":"Amazon: Making a vast marketplace feel personal","summary":"Trusted creators organize Amazon discovery around real needs, seasonal moments and practical product comparisons.","markets":"United States · Europe · Japan","platforms":"TikTok · Instagram · YouTube","logo_path":"/brand-logos/amazon.png","cover_path":"","is_demo":0,"case_type":"real","reporting_scope":"2025-10-01 to 2026-09-15. Platforms: TikTok, Instagram, YouTube. Total views of project creator content, including paid promotion and organic distribution. Views are not deduplicated across platforms. Unique creators who filmed and published for this project; a creator publishing on multiple platforms is counted once. Recorded totals: 45,231,800 views; 112 creators.","category_name":"E-Commerce","category_slug":"e-commerce","translation_incomplete":0,"metrics":[{"value":"45.2318M","label":"Views"},{"value":"112","label":"Creators"},{"value":"3.2%","label":"Shopping link click-through rate"}]}]}