[{"data":1,"prerenderedAt":234},["ShallowReactive",2],{"case-study-sporting-goods-browse-node-classification-fix-en":3,"case-study-blocks-6246a064-8919-41f8-9edb-7e7bea75528f-en":26,"reviews-all-6246a064-8919-41f8-9edb-7e7bea75528f-any-en":162,"case-study-category-ancestors-sports-and-outdoors-en":163,"services-by-ids-b2229fd7-1f99-4a26-ad08-d1113955c798,a507b11d-88fb-4b74-98a2-0661de716593-en":164,"case-studies-by-ids-722530c9-7f80-43df-bf25-dad44d4c4f4b,6f52518d-5ced-4833-857d-13bac77f605e,b9882437-5bbc-4a2a-9bfe-0cf24c90a2ca,e20122a8-d761-44b6-816f-67dac00a17e5-en":187},{"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},"6246a064-8919-41f8-9edb-7e7bea75528f","sporting-goods-browse-node-classification-fix","case-studies\u002Fsporting-goods-browse-node-classification-fix-1790060651183.webp",null,true,8,703,"2026-09-22","2026-09-22T11:13:31.347134+00:00","2026-09-22T11:13:31.504874+00:00","en","Invisible to every filter on the left-hand side of the page","Sessions +38%","A sports brand's catalog sat in the wrong browse nodes with half its attributes blank, so it never appeared when shoppers narrowed a category by sport, size or type. Fixing the classification data reopened a traffic source advertising cannot buy.","Browse Node and Attribute Fix Case","How correcting browse nodes and product attributes made a sports catalog eligible for category filters and grew sessions 163% in eight months.",[21,22],"b2229fd7-1f99-4a26-ad08-d1113955c798","a507b11d-88fb-4b74-98a2-0661de716593","6cf4047f-f0ed-4a07-b07a-f5c06d848517","sports-and-outdoors","Sports & Outdoors",[27,55,82,89,96,118,127,134,145,151],{"id":28,"case_study_id":4,"type":29,"position":30,"is_enabled":8,"config":31,"locale_code":14,"data":32},"fbf4044f-da21-4c4f-ab33-41e302f0e274","snapshot",1,{},{"items":33,"title":54},[34,36,39,42,45,48,51],{"label":35,"value":25},"Category",{"label":37,"value":38},"Marketplaces","US, UK",{"label":40,"value":41},"Revenue at start","$385k \u002F month",{"label":43,"value":44},"Catalog","1,240 ASINs across 9 sports",{"label":46,"value":47},"Problem","38% of ASINs in a correct browse node",{"label":49,"value":50},"Engagement","Listing SEO + account management",{"label":52,"value":53},"Timeframe","8 months","",{"id":56,"case_study_id":4,"type":57,"position":58,"is_enabled":8,"config":59,"locale_code":14,"data":60},"73f2b268-1688-429b-9a62-82d9da19ee09","metrics",2,{},{"items":61,"title":54},[62,67,72,77],{"after":63,"delta":64,"label":65,"before":66,"is_highlight":8},"204k \u002F mo","+38%","Sessions","148k \u002F mo",{"after":68,"delta":69,"label":70,"before":71},"97%","+59 pts","ASINs in a correct browse node","38%",{"after":73,"delta":74,"label":75,"before":76},"$611k","+59%","Monthly revenue","$385k",{"after":78,"delta":79,"label":80,"before":81},"98%","+54 pts","Filter-eligible attributes completed","44%",{"id":83,"case_study_id":4,"type":84,"position":85,"is_enabled":8,"config":86,"locale_code":14,"data":87},"6a81d968-8cf2-48f2-9acf-11e1bd7a9e3c","challenge",3,{},{"title":54,"markdown":88},"A large share of marketplace shoppers never type a second search. They land in a category and narrow it down the left-hand rail — by sport, by size, by type, by material — and every one of those refinements is driven by the browse node a product sits in and the attributes filled in behind it.\n\nThe brand's catalog had been uploaded over six years by four different people through three different templates. Running shoes sat under a generic accessories node, half the apparel had no size or gender attribute, and two hundred ASINs were in nodes for a sport the brand does not sell. None of this produced an error message, so nobody ever saw it. The effect was simply that a shopper filtering a category never met the brand — not because it ranked poorly, but because it was not in the set being filtered.",{"id":90,"case_study_id":4,"type":91,"position":92,"is_enabled":8,"config":93,"locale_code":14,"data":94},"1e49dc31-8865-46cd-be68-c741989af68c","approach",4,{},{"title":54,"markdown":95},"We treated catalog data as a ranking surface rather than as paperwork.\n\n- **Node-by-node audit** of all 1,240 ASINs against the category tree, including the nodes competitors occupy for the same product type.\n- **Attribute completion at scale** — the specific fields each node exposes as a filter, filled for every product rather than the minimum required to publish.\n- **Template discipline** — one maintained flat file per product family, so the next upload cannot reintroduce the drift.\n- **Listing text realigned to the node**, because a product indexed in the right place still has to read like it belongs there to convert.",{"id":97,"case_study_id":4,"type":98,"position":99,"is_enabled":8,"config":100,"locale_code":14,"data":101},"002666b1-269b-4213-b7d0-1a0b918be2fd","process_steps",5,{},{"steps":102,"title":54},[103,106,109,112,115],{"text":104,"title":105},"The relevant branches of the category tree documented with the filters each node exposes and which competitors sit there.","Map the tree",{"text":107,"title":108},"All 1,240 listings checked against node and attribute requirements; 62% found misplaced, incomplete or both.","Audit every ASIN",{"text":110,"title":111},"Corrections submitted family by family, with sessions and rank tracked per wave so a bad move could be reversed.","Re-file in waves",{"text":113,"title":114},"Filter-driving fields — sport, size, gender, material, age range — populated across the catalog.","Complete the attributes",{"text":116,"title":117},"Maintained templates and a pre-publication data check added, with a quarterly re-audit against tree changes.","Lock the process",{"id":119,"case_study_id":4,"type":120,"position":9,"is_enabled":8,"config":121,"locale_code":14,"data":124},"e8a02baf-1e95-4294-9119-ad5683990afe","media",{"images":122},[123],"case-studies\u002Fdashboards\u002Fsporting-goods-browse-node-classification-fix.webp",{"title":125,"caption":126},"Inside the ad account","Anonymized account view, rebuilt from the figures reported above: ad sales growing from $173k to $275k a month while ACoS falls from 33% to 22% across the 8-month engagement.",{"id":128,"case_study_id":4,"type":129,"position":130,"is_enabled":8,"config":131,"locale_code":14,"data":132},"bc52d242-96f1-4eed-8f96-fc8e5e528be9","results",9,{},{"title":54,"markdown":133},"Sessions grew from 148k to **204k a month** and revenue rose 59%, with no new products, no price changes and no additional advertising.\n\nThe traffic came from a source the account had never touched: shoppers browsing and refining rather than searching. It is also traffic that cannot be bought — there is no bid that places a product into a filter it does not qualify for — which is why six years of advertising optimization had never surfaced the problem.",{"id":135,"case_study_id":4,"type":136,"position":137,"is_enabled":8,"config":138,"locale_code":14,"data":139},"8305cb07-b63a-4f1b-8580-a12f669f6ad2","quote",10,{},{"items":140,"title":54},[141],{"role":142,"text":143,"author":144},"Sports brand","Nothing was broken, nothing was flagged, and two thirds of our catalog was filed in the wrong place. It just quietly never showed up.","Head of E-commerce",{"id":146,"case_study_id":4,"type":147,"position":148,"is_enabled":8,"config":149,"locale_code":14,"data":150},"af527b1a-7e1b-4f5a-bba7-e2a7871fefea","service_ref",11,{},{"title":54},{"id":152,"case_study_id":4,"type":153,"position":154,"is_enabled":8,"config":155,"locale_code":14,"data":161},"36c3ed9d-bcc4-4035-b826-4fe237f1e00e","case_ref",12,{"ids":156},[157,158,159,160],"722530c9-7f80-43df-bf25-dad44d4c4f4b","6f52518d-5ced-4833-857d-13bac77f605e","b9882437-5bbc-4a2a-9bfe-0cf24c90a2ca","e20122a8-d761-44b6-816f-67dac00a17e5",{"title":54},[],[],[165,177],{"id":21,"slug":166,"icon":167,"hero_image":168,"is_enabled":8,"sort_order":85,"last_modify":169,"created_at":170,"updated_at":171,"locale_code":14,"name":172,"title":173,"subtitle":174,"meta_title":175,"meta_description":176},"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":178,"icon":179,"hero_image":180,"is_enabled":8,"sort_order":99,"last_modify":169,"created_at":181,"updated_at":171,"locale_code":14,"name":182,"title":183,"subtitle":184,"meta_title":185,"meta_description":186},"full-account-management","i-lucide-briefcase","service\u002Ffull-account-management-1785511629493.svg","2026-07-29T14:14:42.347624+00:00","Full Account Management","Your entire Amazon channel, run by one senior team","Advertising, listings, creative, catalog, and strategy managed end to end — so you can run the business while we run Amazon.","Full-Service Amazon Account Management","Full-service Amazon account management — advertising, listing SEO, creative, catalog and strategy run by one senior team. Get your growth plan.",[188,198,210,220],{"id":157,"slug":189,"cover_image":190,"brand_name":7,"is_anonymized":8,"period_months":154,"is_enabled":8,"sort_order":191,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":192,"headline_metric":193,"summary":194,"meta_title":195,"meta_description":196,"service_ids":197,"published_at":11,"category_id":23,"category_slug":24,"category_path":24,"category_name":25,"category_is_enabled":8},"sporting-goods-distributor-to-owned-catalog","case-studies\u002Fsporting-goods-distributor-to-owned-catalog-1790060651183.webp",700,"From reselling forty brands to controlling twelve of them","Gross margin 11% → 29%","A sporting goods distributor listed forty brands it did not control and lost the Buy Box on each one as those brands went direct. Rebuilding the catalog around exclusive and owned lines changed the economics of the whole account.","Distributor to Owned Brand Catalog","How a sporting goods distributor moved from reselling forty brands to an exclusive and owned catalog, lifting gross margin from 11% to 29%.",[22],{"id":158,"slug":199,"cover_image":200,"brand_name":7,"is_anonymized":8,"period_months":148,"is_enabled":8,"sort_order":201,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":202,"headline_metric":203,"summary":204,"meta_title":205,"meta_description":206,"service_ids":207,"published_at":11,"category_id":23,"category_slug":24,"category_path":24,"category_name":25,"category_is_enabled":8},"sporting-goods-regional-season-geotargeting","case-studies\u002Fsporting-goods-regional-season-geotargeting-1790060651183.webp",701,"The season starts in seven different months, so the budget should too","ACoS 38% → 24% on the same spend","An outdoor equipment brand ran one national budget for a product whose season opens eight weeks apart between the south and the north. Regional pacing turned wasted early spend into early rank.","Regional Season Targeting on Amazon","How region-by-region budget pacing for a staggered outdoor season cut an equipment brand's ACoS from 38% to 24% without increasing total spend.",[208,209],"119e81ea-2a44-44f5-bd31-a47741039864","c89127c7-631c-451f-bf13-3681edd0f3c4",{"id":159,"slug":211,"cover_image":212,"brand_name":7,"is_anonymized":8,"period_months":130,"is_enabled":8,"sort_order":213,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":214,"headline_metric":215,"summary":216,"meta_title":217,"meta_description":218,"service_ids":219,"published_at":11,"category_id":23,"category_slug":24,"category_path":24,"category_name":25,"category_is_enabled":8},"sports-equipment-open-box-resale-channel","case-studies\u002Fsports-equipment-open-box-resale-channel-1790060651183.webp",702,"Recovering $61 a unit from returns that were being written off","Recovery per returned unit $12 → $61","A sports equipment brand liquidated every returned item by the pallet because grading them was somebody's least favorite job. Selling graded open-box units as their own listings turned a write-off line into profit.","Open Box Resale Recovery Case Study","How graded open-box listings took a sports equipment brand's recovery on returned units from $12 to $61 and added $79k of monthly profit.",[22],{"id":160,"slug":221,"cover_image":222,"brand_name":7,"is_anonymized":8,"period_months":137,"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":230,"category_slug":231,"category_path":232,"category_name":233,"category_is_enabled":8},"fitness-equipment-restock-limit-recovery","case-studies\u002Ffitness-equipment-restock-limit-recovery-1790060651183.webp",704,"Growth capped by a restock limit nobody was watching","In-stock rate 62% → 96%","A fitness equipment brand kept selling out of its best products while the warehouse was full. The constraint was not demand or supply — it was how many units Amazon would let it store.","Restock Limit and IPI Recovery Case","How fixing sell-through, IPI and inventory placement took a fitness brand's in-stock rate from 62% to 96% and unlocked 74% revenue growth.",[22,209],"7f440dd8-d931-4a55-8050-b9f222657b01","exercise-and-fitness","sports-and-outdoors\u002Fexercise-and-fitness","Exercise & Fitness",1790082632993]