[{"data":1,"prerenderedAt":242},["ShallowReactive",2],{"case-study-apparel-brand-color-name-indexing-en":3,"case-study-blocks-172e4b2d-3d19-4889-88e8-b549bf356a1b-en":26,"reviews-all-172e4b2d-3d19-4889-88e8-b549bf356a1b-any-en":159,"case-study-category-ancestors-clothing-shoes-and-jewelry-en":160,"services-by-ids-b2229fd7-1f99-4a26-ad08-d1113955c798,c89127c7-631c-451f-bf13-3681edd0f3c4-en":161,"case-studies-by-ids-091d0915-94af-4130-a432-64deff4ae716,b720c9b2-121f-4cbc-bcbd-8a36805369ca,c6f3d004-923b-4435-95a4-645816412ca6,f99a9636-ccb4-43d1-ba44-9017018b92ab-en":185},{"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":24,"category_name":25,"category_is_enabled":8},"172e4b2d-3d19-4889-88e8-b549bf356a1b","apparel-brand-color-name-indexing","case-studies\u002Fapparel-brand-color-name-indexing-1790060651183.webp",null,true,11,1400,"2026-09-22","2026-09-22T11:13:31.254334+00:00","2026-09-22T11:13:31.504874+00:00","en","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],"b2229fd7-1f99-4a26-ad08-d1113955c798","c89127c7-631c-451f-bf13-3681edd0f3c4","7a9d6d54-3d4a-4b00-8b86-95adeb72b6c6","clothing-shoes-and-jewelry","Clothing, Shoes & Jewelry",[27,52,79,86,93,115,125,132,143,148],{"id":28,"case_study_id":4,"type":29,"position":30,"is_enabled":8,"config":31,"locale_code":14,"data":32},"45ec91bb-485d-4035-826e-5fc548ba1d87","snapshot",1,{},{"items":33,"title":51},[34,36,39,42,45,48],{"label":35,"value":25},"Category",{"label":37,"value":38},"Marketplaces","US, UK",{"label":40,"value":41},"Revenue at start","$184k \u002F month",{"label":43,"value":44},"Catalog","9 styles, 31 colorways, studio color names",{"label":46,"value":47},"Engagement","Listing SEO + PPC",{"label":49,"value":50},"Timeframe","11 months","",{"id":53,"case_study_id":4,"type":54,"position":55,"is_enabled":8,"config":56,"locale_code":14,"data":57},"bf391aa0-8941-420a-bcb7-59e9d8c4b288","metrics",2,{},{"items":58,"title":51},[59,64,69,74],{"after":60,"delta":61,"label":62,"before":63,"is_highlight":8},"105k \u002F mo","+48%","Sessions","71k \u002F mo",{"after":65,"delta":66,"label":67,"before":68},"$312k","+70%","Monthly revenue","$184k",{"after":70,"delta":71,"label":72,"before":73},"29 of 31","+25","Colorways ranking for their own color term","4 of 31",{"after":75,"delta":76,"label":77,"before":78},"39%","+33 pts","Revenue from color-qualified searches","6%",{"id":80,"case_study_id":4,"type":81,"position":82,"is_enabled":8,"config":83,"locale_code":14,"data":84},"13dadb80-646d-4d6e-ab2a-714f0b007d6c","challenge",3,{},{"title":51,"markdown":85},"The brand's color names were part of its identity: Willow, Ember, Harbour, Clay. On its own website that works, because the customer is already looking at the swatch. On Amazon the color name is a search term — “sage green midi dress” and “rust wrap dress” carry real, purchase-ready volume — and the word “sage” appeared nowhere in the brand's catalog.\n\nThe damage was concentrated in a place nobody looks. A variation family's child listings each own their color field, and only the parent's title had been written with any care. So twenty-seven of thirty-one colorways existed as inventory, took up warehouse space, and were reachable only by a shopper who had already found the style and then opened the dropdown.",{"id":87,"case_study_id":4,"type":88,"position":89,"is_enabled":8,"config":90,"locale_code":14,"data":91},"539db080-f45c-490a-a6b0-99795ea751d2","approach",4,{},{"title":51,"markdown":92},"We kept the brand's names and added the shopper's.\n\n- **Color vocabulary mapped from search data** — every swatch matched to the one or two plain-language color terms shoppers actually type for it.\n- **Two-part color values** — the variation now reads “Willow \u002F Sage Green”, so the poetic name survives and the searchable one indexes.\n- **Child listings written individually**, each with its color term in the title, the first bullet and the backend fields, instead of inheriting the parent.\n- **Campaigns split by colorway** for the twelve colors with meaningful volume, so bids follow demand rather than averaging across a style.",{"id":94,"case_study_id":4,"type":95,"position":96,"is_enabled":8,"config":97,"locale_code":14,"data":98},"0f70377f-e9d6-4deb-abfe-164d411bc9ef","process_steps",5,{},{"steps":99,"title":51},[100,103,106,109,112],{"text":101,"title":102},"Each of the thirty-one colorways matched against search volume for the plain-language color words shoppers use, including the near-misses like “terracotta” versus “rust”.","Swatch-to-term research",{"text":104,"title":105},"Color values rewritten as a two-part name across every family, which required rebuilding three variation parents that had been assembled incorrectly.","Variation relabelling",{"text":107,"title":108},"Titles, first bullets and backend terms written per colorway rather than cloned from the parent.","Child-level copy",{"text":110,"title":111},"The twelve highest-volume color terms given exact-match campaigns pointed at the matching child ASIN.","Color-level campaigns",{"text":113,"title":114},"After six months of color-level data, two colorways that no shopper searches for were dropped from the next production run.","Assortment feedback",{"id":116,"case_study_id":4,"type":117,"position":118,"is_enabled":8,"config":119,"locale_code":14,"data":122},"9b735606-0d40-4226-9c9e-42fc3cf7d11d","media",8,{"images":120},[121],"case-studies\u002Fdashboards\u002Fapparel-brand-color-name-indexing.webp",{"title":123,"caption":124},"Inside the ad account","Anonymized account view, rebuilt from the figures reported above: ad sales growing from $83k to $140k a month while ACoS falls from 35% to 23% across the 11-month engagement.",{"id":126,"case_study_id":4,"type":127,"position":128,"is_enabled":8,"config":129,"locale_code":14,"data":130},"df6a62c1-a3de-4d94-b6e8-f96e5202be9e","results",9,{},{"title":51,"markdown":131},"Sessions went from 71k to **105k a month**, and revenue grew 70% on a catalog that did not gain a single new style.\n\nThe mechanism is unglamorous: twenty-nine of thirty-one colorways now appear for the color a shopper typed, against four before. Color-qualified searches went from 6% of revenue to 39%, and because those queries name both the garment and the color, they convert well above the style-level terms the brand had been paying for.",{"id":133,"case_study_id":4,"type":134,"position":135,"is_enabled":8,"config":136,"locale_code":14,"data":137},"977cadab-1c4f-4bbe-8e09-6aa0990e3198","quote",10,{},{"items":138,"title":51},[139],{"role":140,"text":141,"author":142},"Apparel brand","A week of meetings about whether “Willow” could be called sage. Nobody searches for a mood board.","Brand Director",{"id":144,"case_study_id":4,"type":145,"position":9,"is_enabled":8,"config":146,"locale_code":14,"data":147},"e09f6fe7-b421-4d59-864e-049bf475ea63","service_ref",{},{"title":51},{"id":149,"case_study_id":4,"type":150,"position":151,"is_enabled":8,"config":152,"locale_code":14,"data":158},"13f8233f-0c04-4ed7-87b1-614da70644e0","case_ref",12,{"ids":153},[154,155,156,157],"091d0915-94af-4130-a432-64deff4ae716","b720c9b2-121f-4cbc-bcbd-8a36805369ca","c6f3d004-923b-4435-95a4-645816412ca6","f99a9636-ccb4-43d1-ba44-9017018b92ab",{"title":51},[],[],[162,174],{"id":21,"slug":163,"icon":164,"hero_image":165,"is_enabled":8,"sort_order":82,"last_modify":166,"created_at":167,"updated_at":168,"locale_code":14,"name":169,"title":170,"subtitle":171,"meta_title":172,"meta_description":173},"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":175,"icon":176,"hero_image":177,"is_enabled":8,"sort_order":30,"last_modify":166,"created_at":178,"updated_at":179,"locale_code":14,"name":180,"title":181,"subtitle":182,"meta_title":183,"meta_description":184},"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.",[186,199,213,227],{"id":154,"slug":187,"cover_image":188,"brand_name":7,"is_anonymized":8,"period_months":189,"is_enabled":8,"sort_order":190,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":191,"headline_metric":192,"summary":193,"meta_title":194,"meta_description":195,"service_ids":196,"published_at":11,"category_id":23,"category_slug":24,"category_path":24,"category_name":25,"category_is_enabled":8},"apparel-brand-customer-photo-reviews","case-studies\u002Fapparel-brand-customer-photo-reviews-1790060651183.webp",7,1401,"The studio shoot nobody trusted and the phone photos that sold the dress","Photo reviews 7% → 34%","In apparel the most persuasive image on the page is not the one the brand paid for. We engineered the flow that produces customer photos — and then built the listing around them.","Customer Photo Reviews Case Study","How engineering customer photo reviews — and rebuilding the image stack around them — lifted an apparel brand's conversion from 4.9% to 7.6%.",[197,198],"07288de0-63ae-47b6-b6fc-eb6c6af8f16e","a507b11d-88fb-4b74-98a2-0661de716593",{"id":155,"slug":200,"cover_image":201,"brand_name":7,"is_anonymized":8,"period_months":128,"is_enabled":8,"sort_order":202,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":203,"headline_metric":204,"summary":205,"meta_title":206,"meta_description":207,"service_ids":208,"published_at":11,"category_id":209,"category_slug":210,"category_path":211,"category_name":212,"category_is_enabled":8},"womenswear-brand-cross-line-size-consistency","case-studies\u002Fwomenswear-brand-cross-line-size-consistency-1790060651183.webp",1402,"Three sub-lines, three different size 8s, one very confused repeat customer","Repeat purchase 21% → 39%","The brand's own lines were graded by three different factories, so a customer who knew her size in one collection was wrong in the next. The fix was internal consistency, not a better size chart.","Cross-Line Size Consistency Case","How reconciling the grading of three womenswear sub-lines turned a brand's worst repeat-purchase problem into a 39% repeat rate in nine months.",[197,198],"2e799fb3-7e85-4ce5-bdd1-d2ae5fec37ce","women","clothing-shoes-and-jewelry\u002Fwomen","Women",{"id":156,"slug":214,"cover_image":215,"brand_name":7,"is_anonymized":8,"period_months":151,"is_enabled":8,"sort_order":216,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":217,"headline_metric":218,"summary":219,"meta_title":220,"meta_description":221,"service_ids":222,"published_at":11,"category_id":223,"category_slug":224,"category_path":225,"category_name":226,"category_is_enabled":8},"menswear-brand-price-filter-brackets","case-studies\u002Fmenswear-brand-price-filter-brackets-1790060651183.webp",1403,"Priced at $28 in a category where shoppers tick the “under $25” box","Units +96% at a lower price","A menswear basics brand sat two dollars above the price filter most of its shoppers use, and was therefore absent from half the search results it should have appeared in.","Price Filter Bracket Case Study","How repricing a menswear catalog to sit inside the price brackets shoppers filter by nearly doubled unit sales at a lower average selling price.",[198,22],"d96d3474-0eb3-451a-9b2d-2cba1c75080d","men","clothing-shoes-and-jewelry\u002Fmen","Men",{"id":157,"slug":228,"cover_image":229,"brand_name":7,"is_anonymized":8,"period_months":230,"is_enabled":8,"sort_order":231,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":232,"headline_metric":233,"summary":234,"meta_title":235,"meta_description":236,"service_ids":237,"published_at":11,"category_id":238,"category_slug":239,"category_path":240,"category_name":241,"category_is_enabled":8},"girls-apparel-age-based-search-mapping","case-studies\u002Fgirls-apparel-age-based-search-mapping-1790060651183.webp",6,1404,"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],"3e2dfa4b-b074-4afe-b538-dd57e869121d","girls","clothing-shoes-and-jewelry\u002Fgirls","Girls",1790082621241]