[{"data":1,"prerenderedAt":230},["ShallowReactive",2],{"case-study-girls-apparel-age-based-search-mapping-en":3,"case-study-blocks-f99a9636-ccb4-43d1-ba44-9017018b92ab-en":27,"reviews-all-f99a9636-ccb4-43d1-ba44-9017018b92ab-any-en":139,"case-study-category-ancestors-clothing-shoes-and-jewelry\u002Fgirls-en":140,"services-by-ids-b2229fd7-1f99-4a26-ad08-d1113955c798,c89127c7-631c-451f-bf13-3681edd0f3c4-en":152,"case-studies-by-ids-b79eb2f8-7315-4b84-a885-1bf6076091b0,f8a9fd6d-e507-4ef5-951c-801a3f070395,a74771bf-f5f0-4c02-ae35-ce01c3b4f56e,172e4b2d-3d19-4889-88e8-b549bf356a1b-en":176},{"id":4,"slug":5,"cover_image":6,"brand_name":7,"is_anonymized":8,"period_months":9,"is_enabled":8,"sort_order":10,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":15,"headline_metric":16,"summary":17,"meta_title":18,"meta_description":19,"service_ids":20,"published_at":11,"category_id":23,"category_slug":24,"category_path":25,"category_name":26,"category_is_enabled":8},"f99a9636-ccb4-43d1-ba44-9017018b92ab","girls-apparel-age-based-search-mapping","case-studies\u002Fgirls-apparel-age-based-search-mapping-1790060651183.webp",null,true,6,1404,"2026-09-22","2026-09-22T11:13:31.254334+00:00","2026-09-22T11:13:31.504874+00:00","en","Parents shop in years, the catalog was written in numbers","+107% revenue","A girls' clothing brand indexed everything by garment size. The people buying were aunts and grandparents who know the child's age and nothing else.","Kids Apparel Age Search Case Study","How mapping garment sizes to the age language parents actually search grew a girls' clothing brand 107% and cut its ad cost per order by a third.",[21,22],"b2229fd7-1f99-4a26-ad08-d1113955c798","c89127c7-631c-451f-bf13-3681edd0f3c4","3e2dfa4b-b074-4afe-b538-dd57e869121d","girls","clothing-shoes-and-jewelry\u002Fgirls","Girls",[28,53,80,87,94,104,111,122,128],{"id":29,"case_study_id":4,"type":30,"position":31,"is_enabled":8,"config":32,"locale_code":14,"data":33},"34a53f4f-7ddc-4bba-88d1-ca7249975cd1","snapshot",1,{},{"items":34,"title":52},[35,37,40,43,46,49],{"label":36,"value":26},"Category",{"label":38,"value":39},"Marketplaces","US",{"label":41,"value":42},"Revenue at start","$72k \u002F month",{"label":44,"value":45},"Catalog","Indexed by numeric size only (4, 6, 8, 10, 12)",{"label":47,"value":48},"Engagement","Listing SEO + PPC",{"label":50,"value":51},"Timeframe","6 months","",{"id":54,"case_study_id":4,"type":55,"position":56,"is_enabled":8,"config":57,"locale_code":14,"data":58},"2f413ac4-da98-486a-a563-bbf864561bc4","metrics",2,{},{"items":59,"title":52},[60,65,70,75],{"after":61,"delta":62,"label":63,"before":64,"is_highlight":8},"$149k","+107%","Monthly revenue","$72k",{"after":66,"delta":67,"label":68,"before":69},"480","+2,300%","Ranking keywords carrying an age phrase","20",{"after":71,"delta":72,"label":73,"before":74},"$8.10","-35%","Cost per order","$12.40",{"after":76,"delta":77,"label":78,"before":79},"9.2%","+39%","Conversion rate","6.6%",{"id":81,"case_study_id":4,"type":82,"position":83,"is_enabled":8,"config":84,"locale_code":14,"data":85},"f129297f-80fd-4f4e-8cbc-b980988114fb","challenge",3,{},{"title":52,"markdown":86},"Search terms in children's apparel are dominated by a phrase the brand never used: “for 7 year old girls”, “age 9 girls dress”, “gifts for a 5 year old”. That vocabulary belongs to the second buyer in this category — the relative who knows the child's birthday and has never seen a size label.\n\nThe catalog answered in numbers. Sizes 4 through 12 were correct, consistent and completely disconnected from the query. The brand ranked for twenty keywords containing an age phrase, which is effectively none, and was buying the gap back through broad-match advertising at $12.40 an order, where a matched query in this category should cost considerably less.",{"id":88,"case_study_id":4,"type":89,"position":90,"is_enabled":8,"config":91,"locale_code":14,"data":92},"6bef3665-5835-495c-a01e-916cec32986f","approach",4,{},{"title":52,"markdown":93},"We put both languages on the page.\n\n- **A size-to-age table built from the brand's own fit data**, published on every listing rather than assumed from an industry default.\n- **Age phrasing in titles and bullets** at the child level, so each size indexes for the age it corresponds to instead of the family sharing one phrase.\n- **Campaign structure by age cluster** — 4–6, 7–9, 10–12 — which behave like separate markets in bid, conversion and seasonality.\n- **Occasion language layered on the age terms**, because the relative searching by age is usually searching for an occasion at the same time.",{"id":95,"case_study_id":4,"type":96,"position":97,"is_enabled":8,"config":98,"locale_code":14,"data":101},"70132370-f763-4dd5-bec5-56d81cabe9d4","media",8,{"images":99},[100],"case-studies\u002Fdashboards\u002Fgirls-apparel-age-based-search-mapping.webp",{"title":102,"caption":103},"Inside the ad account","Anonymized account view, rebuilt from the figures reported above: ad sales growing from $32k to $67k a month while ACoS falls from 35% to 24% across the 6-month engagement.",{"id":105,"case_study_id":4,"type":106,"position":107,"is_enabled":8,"config":108,"locale_code":14,"data":109},"58ab3c3b-1601-4c60-a9f6-aaf10157d81c","results",9,{},{"title":52,"markdown":110},"Revenue more than doubled — $72k to **$149k a month** — in six months, from 480 ranking keywords carrying an age phrase against twenty at the start.\n\nCost per order fell 35% because the account stopped paying broad match to reach queries it could now rank for and target exactly. Conversion rose 39% for the same reason the traffic got cheaper: a shopper who searched an age and found a page that answers in ages does not need to open three other listings to check.",{"id":112,"case_study_id":4,"type":113,"position":114,"is_enabled":8,"config":115,"locale_code":14,"data":116},"582a67c5-626f-440b-95f7-f0ca7a8d0876","quote",10,{},{"items":117,"title":52},[118],{"role":119,"text":120,"author":121},"Children's apparel brand","Half our customers are buying for a niece they see twice a year. They do not know she is a size 8 and they never will.","E-commerce Manager",{"id":123,"case_study_id":4,"type":124,"position":125,"is_enabled":8,"config":126,"locale_code":14,"data":127},"249090dc-03e2-48d0-bae9-a165132e4a58","service_ref",11,{},{"title":52},{"id":129,"case_study_id":4,"type":130,"position":131,"is_enabled":8,"config":132,"locale_code":14,"data":138},"b9c3096f-1a6f-4c3d-8983-5267f4a6ba38","case_ref",12,{"ids":133},[134,135,136,137],"b79eb2f8-7315-4b84-a885-1bf6076091b0","f8a9fd6d-e507-4ef5-951c-801a3f070395","a74771bf-f5f0-4c02-ae35-ce01c3b4f56e","172e4b2d-3d19-4889-88e8-b549bf356a1b",{"title":52},[],[141],{"id":142,"parent_id":7,"path":143,"slug":143,"sort_order":144,"is_enabled":8,"is_priority":145,"last_modify":11,"created_at":146,"updated_at":146,"locale_code":14,"name":147,"title":148,"subtitle":149,"intro":7,"meta_title":150,"meta_description":151,"case_count":97},"7a9d6d54-3d4a-4b00-8b86-95adeb72b6c6","clothing-shoes-and-jewelry",104,false,"2026-09-22T11:13:31.187156+00:00","Clothing, Shoes & Jewelry","Amazon Clothing, Shoes & Jewelry Case Studies","Real campaigns we ran for clothing, shoes & jewelry brands on Amazon — what was broken, what we changed and what it moved.","Clothing, Shoes & Jewelry Case Studies","See how our Amazon agency grows Clothing, Shoes & Jewelry brands: the challenge, the work we ran and the numbers it moved.",[153,165],{"id":21,"slug":154,"icon":155,"hero_image":156,"is_enabled":8,"sort_order":83,"last_modify":157,"created_at":158,"updated_at":159,"locale_code":14,"name":160,"title":161,"subtitle":162,"meta_title":163,"meta_description":164},"amazon-listing-seo","i-lucide-search","service\u002Famazon-listing-seo-1785511614770.svg","2026-08-14","2026-07-29T14:13:30.127513+00:00","2026-08-14T08:43:13.682542+00:00","Amazon Listing SEO","Amazon listing optimization that ranks and converts","Keyword-rich titles, bullets, and backend terms built for Amazon's search algorithm and its new AI shopping assistant, Rufus — so more shoppers find you and more of them buy.","Amazon Listing Optimization & SEO","Amazon listing optimization & SEO — keyword research, titles, bullets, backend terms and Rufus-ready content that lifts rank and sales. Get your growth plan.",{"id":22,"slug":166,"icon":167,"hero_image":168,"is_enabled":8,"sort_order":31,"last_modify":157,"created_at":169,"updated_at":170,"locale_code":14,"name":171,"title":172,"subtitle":173,"meta_title":174,"meta_description":175},"amazon-ppc-management","i-lucide-target","service\u002Famazon-ppc-management-1785511595551.svg","2026-07-29T14:12:15.748121+00:00","2026-08-14T13:00:28.764226+00:00","Amazon PPC Management","Amazon PPC management that grows profit, not just spend","We build and run Sponsored Products, Sponsored Brands, and Sponsored Display campaigns around your margins — cutting wasted spend and scaling the keywords that convert.","Amazon PPC Management Services","Full-funnel Amazon PPC management — Sponsored Products, Brands & Display plus AMC insights. We cut ACoS and scale converting keywords. Get your growth plan.",[177,192,206,220],{"id":134,"slug":178,"cover_image":179,"brand_name":7,"is_anonymized":8,"period_months":97,"is_enabled":8,"sort_order":180,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":181,"headline_metric":182,"summary":183,"meta_title":184,"meta_description":185,"service_ids":186,"published_at":11,"category_id":188,"category_slug":189,"category_path":190,"category_name":191,"category_is_enabled":8},"boys-apparel-wearer-versus-buyer","case-studies\u002Fboys-apparel-wearer-versus-buyer-1790060651183.webp",1405,"The parent approves the purchase, the seven-year-old vetoes it","Conversion +41%","A boys' clothing brand sold to parents and was returned by children. The listing had been built entirely for the person paying and said nothing to the person wearing it.","Boys Apparel Creative Case Study","How building a boys' clothing listing for the child who wears it, not just the parent who pays, lifted conversion 41% and cut returns nine points.",[21,187],"07288de0-63ae-47b6-b6fc-eb6c6af8f16e","f25634e1-80b2-4e8e-b093-a1ac0bcb7a2c","boys","clothing-shoes-and-jewelry\u002Fboys","Boys",{"id":135,"slug":193,"cover_image":194,"brand_name":7,"is_anonymized":8,"period_months":114,"is_enabled":8,"sort_order":195,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":196,"headline_metric":197,"summary":198,"meta_title":199,"meta_description":200,"service_ids":201,"published_at":11,"category_id":202,"category_slug":203,"category_path":204,"category_name":205,"category_is_enabled":8},"luggage-brand-airline-size-rule-queries","case-studies\u002Fluggage-brand-airline-size-rule-queries-1790060651183.webp",1406,"Ranking for a rule instead of a product","#1 on 9 airline-size queries","Travellers do not search for a bag. They search for the rule they are trying not to break — and the brand's dimensions were buried in a spec table three scrolls down.","Airline Size Search Intent Case","How building listings around airline size rules — the query travellers actually type — took a luggage brand to #1 on nine constraint searches.",[21,22],"71900aaa-7bf0-43bd-ba55-be7db0d489f3","luggage-and-travel-gear","clothing-shoes-and-jewelry\u002Fluggage-and-travel-gear","Luggage & Travel Gear",{"id":136,"slug":207,"cover_image":208,"brand_name":7,"is_anonymized":8,"period_months":131,"is_enabled":8,"sort_order":209,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":210,"headline_metric":211,"summary":212,"meta_title":213,"meta_description":214,"service_ids":215,"published_at":11,"category_id":216,"category_slug":217,"category_path":218,"category_name":219,"category_is_enabled":8},"cosplay-brand-trademark-safe-keyword-strategy","case-studies\u002Fcosplay-brand-trademark-safe-keyword-strategy-1790060651183.webp",1407,"Selling to people searching a name you are not allowed to write","+120% revenue","Cosplay demand arrives as character names the brand has no license to use. We built a descriptive vocabulary that catches the same shopper without borrowing anybody's trademark.","Cosplay Keyword Strategy Case Study","How a costume brand reached the shoppers searching licensed character names — without using one — and grew revenue 120% over a full costume year.",[21,187],"27048721-bdbd-4ed2-a6f2-1cf590adcc3c","costumes-and-cosplay","clothing-shoes-and-jewelry\u002Fcostumes-and-cosplay","Costumes & Cosplay",{"id":137,"slug":221,"cover_image":222,"brand_name":7,"is_anonymized":8,"period_months":125,"is_enabled":8,"sort_order":223,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":224,"headline_metric":225,"summary":226,"meta_title":227,"meta_description":228,"service_ids":229,"published_at":11,"category_id":142,"category_slug":143,"category_path":143,"category_name":147,"category_is_enabled":8},"apparel-brand-color-name-indexing","case-studies\u002Fapparel-brand-color-name-indexing-1790060651183.webp",1400,"When the color is the search term and the swatch is called “Willow”","Sessions 71k → 105k","An apparel brand named its colors the way a design studio does. Shoppers search for “sage green” and “rust”, so twenty-seven of thirty-one colorways were invisible to the query that would have sold them.","Color Variation Indexing Case Study","How translating poetic color names into the words shoppers search grew an apparel brand's sessions 186% across thirty-one colorways.",[21,22],1790082622799]