[{"data":1,"prerenderedAt":210},["ShallowReactive",2],{"case-study-sporting-goods-regional-season-geotargeting-en":3,"case-study-blocks-6f52518d-5ced-4833-857d-13bac77f605e-en":26,"reviews-all-6f52518d-5ced-4833-857d-13bac77f605e-any-en":137,"case-study-category-ancestors-sports-and-outdoors-en":138,"services-by-ids-119e81ea-2a44-44f5-bd31-a47741039864,c89127c7-631c-451f-bf13-3681edd0f3c4-en":139,"case-studies-by-ids-b9882437-5bbc-4a2a-9bfe-0cf24c90a2ca,6246a064-8919-41f8-9edb-7e7bea75528f,722530c9-7f80-43df-bf25-dad44d4c4f4b,e20122a8-d761-44b6-816f-67dac00a17e5-en":163},{"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},"6f52518d-5ced-4833-857d-13bac77f605e","sporting-goods-regional-season-geotargeting","case-studies\u002Fsporting-goods-regional-season-geotargeting-1790060651183.webp",null,true,11,701,"2026-09-22","2026-09-22T11:13:31.347134+00:00","2026-09-22T11:13:31.504874+00:00","en","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.",[21,22],"119e81ea-2a44-44f5-bd31-a47741039864","c89127c7-631c-451f-bf13-3681edd0f3c4","6cf4047f-f0ed-4a07-b07a-f5c06d848517","sports-and-outdoors","Sports & Outdoors",[27,52,79,86,93,103,110,121,126],{"id":28,"case_study_id":4,"type":29,"position":30,"is_enabled":8,"config":31,"locale_code":14,"data":32},"a7474b78-abeb-4c6c-971f-18b0656fc646","snapshot",1,{},{"items":33,"title":51},[34,36,39,42,45,48],{"label":35,"value":25},"Category",{"label":37,"value":38},"Marketplaces","US",{"label":40,"value":41},"Revenue at start","$470k \u002F month",{"label":43,"value":44},"Demand pattern","Season opens 8 weeks apart north to south",{"label":46,"value":47},"Engagement","PPC + DSP",{"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},"60c3d32e-c147-4564-be0f-76ca8bd6467f","metrics",2,{},{"items":58,"title":51},[59,64,69,74],{"after":60,"delta":61,"label":62,"before":63,"is_highlight":8},"24%","-14 pts","Blended ACoS","38%",{"after":65,"delta":66,"label":67,"before":68},"$744k","+58%","Monthly revenue","$470k",{"after":70,"delta":71,"label":72,"before":73},"#3","+16 positions","Peak-week organic rank, hero term","#19",{"after":75,"delta":76,"label":77,"before":78},"$176k \u002F mo","flat","Ad spend","$179k \u002F mo",{"id":80,"case_study_id":4,"type":81,"position":82,"is_enabled":8,"config":83,"locale_code":14,"data":84},"07a77442-0a30-40f2-bf5b-2660509aadde","challenge",3,{},{"title":51,"markdown":85},"The brand's category has a season, and everyone in it knows that. What nobody in the account had acted on is that the season is not one event: demand opens in the southern states roughly eight weeks before it opens in the north, and dies in the same order.\n\nRunning a single national budget meant two guaranteed mistakes every year. In February the campaigns were spending nationally against demand that only existed in four states, so most clicks came from people who were not yet buying. In August the same budget was still running in the south, where the season was over, while northern demand was underfunded at exactly the moment ranking was cheap to win.",{"id":87,"case_study_id":4,"type":88,"position":89,"is_enabled":8,"config":90,"locale_code":14,"data":91},"14aeba16-695b-4173-9a0b-c66c2a25ac0e","approach",4,{},{"title":51,"markdown":92},"The account had one job we had never let it do: arrive in a region at the exact week its buyers do.\n\n- **A per-region opening week** read from the account's own shipped-order curve by state — the week orders from those states turn, which moves earlier or later each year than any fixed calendar date.\n- **A rolling budget curve in Sponsored**, opening eight weeks earlier than before and tapering in the order the season dies, instead of one flat national budget switched on and off.\n- **DSP carrying the regional layer** — geography is the one thing search advertising cannot target, so the early weight sits in display against the states already buying, four weeks ahead of each opening week.\n- **The opening two weeks bid to win rank, not ACoS** — position is cheap while competitors are still on the national average, and the organic rank it buys earns for the rest of the season.",{"id":94,"case_study_id":4,"type":95,"position":96,"is_enabled":8,"config":97,"locale_code":14,"data":100},"2251e94a-391f-4065-baf7-81aa4e6bce65","media",8,{"images":98},[99],"case-studies\u002Fdashboards\u002Fsporting-goods-regional-season-geotargeting.webp",{"title":101,"caption":102},"Inside the ad account","Anonymized account view, rebuilt from the figures reported above: ad sales growing from $212k to $335k a month while ACoS falls from 38% to 24% across the 11-month engagement.",{"id":104,"case_study_id":4,"type":105,"position":106,"is_enabled":8,"config":107,"locale_code":14,"data":108},"2e54bcab-d0da-408c-b3cf-f9fd54c2f65f","results",9,{},{"title":51,"markdown":109},"ACoS fell from 38% to **24%** on flat spend, and revenue grew 58%.\n\nThe mechanism is entirely about timing: the same dollar buys a click from a shopper whose season has started rather than one whose season is two months away. Winning rank in the opening two weeks of the curve is what produced the organic gain — the hero term went from #19 to #3 in peak weeks, and that position then earned sales all season without being paid for again.",{"id":111,"case_study_id":4,"type":112,"position":113,"is_enabled":8,"config":114,"locale_code":14,"data":115},"04273dde-8a80-4515-b2c5-ba54f77c9416","quote",10,{},{"items":116,"title":51},[117],{"role":118,"text":119,"author":120},"Outdoor equipment brand","Whoever owned the search in March still owned it in July. We were always arriving after the rank had been decided.","Head of E-commerce",{"id":122,"case_study_id":4,"type":123,"position":9,"is_enabled":8,"config":124,"locale_code":14,"data":125},"4093f931-c0b2-493c-ae63-30373b8214d1","service_ref",{},{"title":51},{"id":127,"case_study_id":4,"type":128,"position":129,"is_enabled":8,"config":130,"locale_code":14,"data":136},"228dd374-fcb3-4c91-8933-a12617521e69","case_ref",12,{"ids":131},[132,133,134,135],"b9882437-5bbc-4a2a-9bfe-0cf24c90a2ca","6246a064-8919-41f8-9edb-7e7bea75528f","722530c9-7f80-43df-bf25-dad44d4c4f4b","e20122a8-d761-44b6-816f-67dac00a17e5",{"title":51},[],[],[140,152],{"id":21,"slug":141,"icon":142,"hero_image":143,"is_enabled":8,"sort_order":55,"last_modify":144,"created_at":145,"updated_at":146,"locale_code":14,"name":147,"title":148,"subtitle":149,"meta_title":150,"meta_description":151},"amazon-dsp-advertising","i-lucide-monitor-play","service\u002Famazon-dsp-advertising-1785511604710.svg","2026-08-14","2026-07-29T14:12:53.244813+00:00","2026-08-14T08:43:13.682542+00:00","Amazon DSP Advertising","Amazon DSP advertising that builds demand beyond the search bar","Programmatic display and video that reaches shoppers on and off Amazon — retargeting browsers, growing new-to-brand, and feeding your Sponsored Ads with warm demand.","Amazon DSP Advertising Agency","Amazon DSP advertising managed end to end — programmatic display, video and retargeting on and off Amazon, measured with AMC. Grow full-funnel demand.",{"id":22,"slug":153,"icon":154,"hero_image":155,"is_enabled":8,"sort_order":30,"last_modify":144,"created_at":156,"updated_at":157,"locale_code":14,"name":158,"title":159,"subtitle":160,"meta_title":161,"meta_description":162},"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.",[164,175,186,196],{"id":132,"slug":165,"cover_image":166,"brand_name":7,"is_anonymized":8,"period_months":106,"is_enabled":8,"sort_order":167,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":168,"headline_metric":169,"summary":170,"meta_title":171,"meta_description":172,"service_ids":173,"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.",[174],"a507b11d-88fb-4b74-98a2-0661de716593",{"id":133,"slug":176,"cover_image":177,"brand_name":7,"is_anonymized":8,"period_months":96,"is_enabled":8,"sort_order":178,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":179,"headline_metric":180,"summary":181,"meta_title":182,"meta_description":183,"service_ids":184,"published_at":11,"category_id":23,"category_slug":24,"category_path":24,"category_name":25,"category_is_enabled":8},"sporting-goods-browse-node-classification-fix","case-studies\u002Fsporting-goods-browse-node-classification-fix-1790060651183.webp",703,"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.",[185,174],"b2229fd7-1f99-4a26-ad08-d1113955c798",{"id":134,"slug":187,"cover_image":188,"brand_name":7,"is_anonymized":8,"period_months":129,"is_enabled":8,"sort_order":189,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":190,"headline_metric":191,"summary":192,"meta_title":193,"meta_description":194,"service_ids":195,"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%.",[174],{"id":135,"slug":197,"cover_image":198,"brand_name":7,"is_anonymized":8,"period_months":113,"is_enabled":8,"sort_order":199,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":200,"headline_metric":201,"summary":202,"meta_title":203,"meta_description":204,"service_ids":205,"published_at":11,"category_id":206,"category_slug":207,"category_path":208,"category_name":209,"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.",[174,22],"7f440dd8-d931-4a55-8050-b9f222657b01","exercise-and-fitness","sports-and-outdoors\u002Fexercise-and-fitness","Exercise & Fitness",1790082633224]