[{"data":1,"prerenderedAt":259},["ShallowReactive",2],{"case-study-grill-brand-model-fitment-data-rebuild-en":3,"case-study-blocks-fed95971-62d7-41c8-81fa-e3028305d935-en":27,"reviews-all-fed95971-62d7-41c8-81fa-e3028305d935-any-en":161,"case-study-category-ancestors-patio-lawn-and-garden\u002Fgrills-and-outdoor-cooking-en":162,"services-by-ids-b2229fd7-1f99-4a26-ad08-d1113955c798,c89127c7-631c-451f-bf13-3681edd0f3c4-en":173,"case-studies-by-ids-66524c4a-3fb8-4f6f-b21e-19453a5757b9,9cdabf39-89c5-4f48-b800-3f7dd0d10e41,dab59479-88c3-4962-9e2d-5407ee99049f,103ecb66-fba4-477f-9113-110c6f729ee1-en":197},{"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},"fed95971-62d7-41c8-81fa-e3028305d935","grill-brand-model-fitment-data-rebuild","case-studies\u002Fgrill-brand-model-fitment-data-rebuild-1790060651183.webp",null,true,13,807,"2026-09-22","2026-09-22T11:13:31.329067+00:00","2026-09-22T11:13:31.504874+00:00","en","Sixty-four parts, four hundred grill models, one lookup table","Wrong-fit returns 24% → 5%","A brand selling covers, grates and burner parts across hundreds of grill models sold them as generic sizes. Building a real fitment database turned a guessing game into a search term.","Grill Parts Fitment Data Case Study","How a model-level fitment database for grill covers and parts cut wrong-fit returns from 24% to 5% and grew revenue 84% in thirteen months.",[21,22],"b2229fd7-1f99-4a26-ad08-d1113955c798","c89127c7-631c-451f-bf13-3681edd0f3c4","41719706-af8d-41f7-8f1c-6bbb4ed0d27c","grills-and-outdoor-cooking","patio-lawn-and-garden\u002Fgrills-and-outdoor-cooking","Grills & Outdoor Cooking",[28,53,80,87,94,116,126,133,144,150],{"id":29,"case_study_id":4,"type":30,"position":31,"is_enabled":8,"config":32,"locale_code":14,"data":33},"1a7d21e2-abd6-45da-8237-9c9ac2ef2af4","snapshot",1,{},{"items":34,"title":52},[35,37,40,43,46,49],{"label":36,"value":26},"Category",{"label":38,"value":39},"Marketplaces","US, CA",{"label":41,"value":42},"Revenue at start","$166k \u002F month",{"label":44,"value":45},"Catalog","64 accessory and replacement-part SKUs",{"label":47,"value":48},"Engagement","Listing SEO + PPC",{"label":50,"value":51},"Timeframe","13 months","",{"id":54,"case_study_id":4,"type":55,"position":56,"is_enabled":8,"config":57,"locale_code":14,"data":58},"5c5832ea-8a79-4ad1-876f-afa2c9ceb559","metrics",2,{},{"items":59,"title":52},[60,65,70,75],{"after":61,"delta":62,"label":63,"before":64,"is_highlight":8},"5%","-19 pts","Wrong-fit returns","24%",{"after":66,"delta":67,"label":68,"before":69},"$305k","+84%","Monthly revenue","$166k",{"after":71,"delta":72,"label":73,"before":74},"1,900","new","Ranking keywords with a model number","0",{"after":76,"delta":77,"label":78,"before":79},"10.4%","+68%","Conversion rate","6.2%",{"id":81,"case_study_id":4,"type":82,"position":83,"is_enabled":8,"config":84,"locale_code":14,"data":85},"e8fc1a6a-1363-4f49-8df1-c243eab55853","challenge",3,{},{"title":52,"markdown":86},"The single most common sentence in this category is “will this fit my grill?”, and the brand's listings answered it with a dimension in inches. A shopper holding a five-year-old grill does not know its firebox width; they know the model number stamped inside the lid.\n\nSo the purchase was a guess, and close to a quarter of those guesses were wrong. Wrong-fit returns cost the shipping twice, produced reviews about a product that worked perfectly on the grill it was designed for, and made the brand look unreliable in a category where reliability is the whole pitch. Meanwhile every competitor's listing had the same weakness, and thousands of monthly searches containing model numbers were going almost entirely unanswered.",{"id":88,"case_study_id":4,"type":89,"position":90,"is_enabled":8,"config":91,"locale_code":14,"data":92},"8942a715-a33e-4675-8314-7bc4754241d3","approach",4,{},{"title":52,"markdown":93},"We built the data the category was missing and put it in the listing.\n\n- **A fitment database** mapping every SKU to the specific grill models it fits, assembled from measurements, manufacturer specs and the brand's own returns history.\n- **Model numbers where the catalog takes them** — the compatibility attributes and a fits \u002F does-not-fit table in the copy, plus a generic “fits most 2015–2022 kettle grills” phrasing in the title, since another manufacturer's brand name does not belong there.\n- **A compatibility module in A+**, listing supported models as plain factual fitment — the way a parts catalog does — and, just as importantly, naming the close models it does not fit.\n- **Campaigns built on model-number search terms**, which are cheap, extremely specific and convert like a part number should.",{"id":95,"case_study_id":4,"type":96,"position":97,"is_enabled":8,"config":98,"locale_code":14,"data":99},"6e5a095e-630c-4320-b248-e9a1f6887fd4","process_steps",5,{},{"steps":100,"title":52},[101,104,107,110,113],{"text":102,"title":103},"Two years of returns matched to the grill models customers named, exposing which SKUs were being bought for what.","Returns forensics",{"text":105,"title":106},"Every SKU physically fitted against the fifty most common grill models in the returns data; anything beyond that list is stated as unverified rather than implied to fit.","Measurement program",{"text":108,"title":109},"A SKU-to-model table maintained as a source file, with the listings generated from it rather than edited by hand.","Database build",{"text":111,"title":112},"Model numbers pushed into titles, bullets and backend terms across sixty-four SKUs in three waves.","Listing rollout",{"text":114,"title":115},"Model-number campaigns launched per SKU group, with the non-fitting near-models added as negatives.","Campaign layer",{"id":117,"case_study_id":4,"type":118,"position":119,"is_enabled":8,"config":120,"locale_code":14,"data":123},"7c71619f-b820-4f61-886b-9e83a0c2bec2","media",8,{"images":121},[122],"case-studies\u002Fdashboards\u002Fgrill-brand-model-fitment-data-rebuild.webp",{"title":124,"caption":125},"Inside the ad account","Anonymized account view, rebuilt from the figures reported above: ad sales growing from $75k to $137k a month while ACoS falls from 34% to 21% across the 13-month engagement.",{"id":127,"case_study_id":4,"type":128,"position":129,"is_enabled":8,"config":130,"locale_code":14,"data":131},"b24e207c-f722-43d4-ba8e-d2df8de34ba1","results",9,{},{"title":52,"markdown":132},"Wrong-fit returns fell from 24% to **5%**, and revenue grew 84% over thirteen months.\n\nThe growth came from a kind of traffic the brand had never had: 1,900 ranking keywords containing a model number — all of them verified fitments, not a list copied from a manufacturer's catalog — each one a shopper who has already decided what they need and only wants confirmation it fits. Conversion rose 68% because that confirmation is now on the page. Naming the models the part does *not* fit turned out to matter as much as naming the ones it does — those were the returns.",{"id":134,"case_study_id":4,"type":135,"position":136,"is_enabled":8,"config":137,"locale_code":14,"data":138},"33e307cd-e4cb-417e-bb2d-180bde404b47","quote",10,{},{"items":139,"title":52},[140],{"role":141,"text":142,"author":143},"Grill accessories brand","The whole category answers the most important question with a number in inches. We answered it with the number printed on the customer's grill.","Head of E-commerce",{"id":145,"case_study_id":4,"type":146,"position":147,"is_enabled":8,"config":148,"locale_code":14,"data":149},"a076950c-def8-44b6-9d87-0c507ece1a92","service_ref",11,{},{"title":52},{"id":151,"case_study_id":4,"type":152,"position":153,"is_enabled":8,"config":154,"locale_code":14,"data":160},"c432d009-b13c-400f-9219-f8bfabbf9a3c","case_ref",12,{"ids":155},[156,157,158,159],"66524c4a-3fb8-4f6f-b21e-19453a5757b9","9cdabf39-89c5-4f48-b800-3f7dd0d10e41","dab59479-88c3-4962-9e2d-5407ee99049f","103ecb66-fba4-477f-9113-110c6f729ee1",{"title":52},[],[163],{"id":164,"parent_id":7,"path":165,"slug":165,"sort_order":166,"is_enabled":8,"is_priority":8,"last_modify":11,"created_at":167,"updated_at":167,"locale_code":14,"name":168,"title":169,"subtitle":170,"intro":7,"meta_title":171,"meta_description":172,"case_count":9},"9bc4c348-01ff-4473-9686-04140780d987","patio-lawn-and-garden",7,"2026-09-22T11:13:31.177478+00:00","Patio, Lawn & Garden","Amazon Patio, Lawn & Garden Case Studies","Real campaigns we ran for patio, lawn & garden brands on Amazon — what was broken, what we changed and what it moved.","Patio, Lawn & Garden Case Studies","See how our Amazon agency grows Patio, Lawn & Garden brands: the challenge, the work we ran and the numbers it moved. Real results, no fluff.",[174,186],{"id":21,"slug":175,"icon":176,"hero_image":177,"is_enabled":8,"sort_order":83,"last_modify":178,"created_at":179,"updated_at":180,"locale_code":14,"name":181,"title":182,"subtitle":183,"meta_title":184,"meta_description":185},"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":187,"icon":188,"hero_image":189,"is_enabled":8,"sort_order":31,"last_modify":178,"created_at":190,"updated_at":191,"locale_code":14,"name":192,"title":193,"subtitle":194,"meta_title":195,"meta_description":196},"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.",[198,212,228,243],{"id":156,"slug":199,"cover_image":200,"brand_name":7,"is_anonymized":8,"period_months":166,"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":208,"category_slug":209,"category_path":210,"category_name":211,"category_is_enabled":8},"outdoor-lighting-brand-preseason-listing-launch","case-studies\u002Foutdoor-lighting-brand-preseason-listing-launch-1790060651183.webp",808,"Going live ten weeks before the container lands","Week-one rank #6 instead of #90+","An outdoor lighting brand launched new products the week the container landed, into a season that was already half over. A seed shipment ten weeks early meant week one of the season started on page one.","Pre-Season Amazon Launch Case Study","How a seed shipment and early indexing ten weeks before the main container put an outdoor lighting brand on page one in week one of its season.",[21,22],"7474df59-0f1c-417c-9958-cc4645b0689d","outdoor-decor-and-lighting","patio-lawn-and-garden\u002Foutdoor-decor-and-lighting","Outdoor Décor & Lighting",{"id":157,"slug":213,"cover_image":214,"brand_name":7,"is_anonymized":8,"period_months":215,"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":224,"category_slug":225,"category_path":226,"category_name":227,"category_is_enabled":8},"pest-control-brand-state-restriction-routing","case-studies\u002Fpest-control-brand-state-restriction-routing-1790060651183.webp",14,809,"Selling a regulated product in fifty different legal markets","Suppressed ASIN-days down 96%","A pest control brand kept losing listings to state registration rules it discovered only after a takedown. Mapping the catalog against state-level restrictions ended the suppressions and opened states it had abandoned.","Regulated Pest Product Compliance Case","How mapping a pest control catalog against state registration rules cut suppressed listing days by 96% and reopened eleven states in fourteen months.",[21,223],"a507b11d-88fb-4b74-98a2-0661de716593","44210461-b070-4d4f-8578-995f3f400efd","pest-control","patio-lawn-and-garden\u002Fpest-control","Pest Control",{"id":158,"slug":229,"cover_image":230,"brand_name":7,"is_anonymized":8,"period_months":136,"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":239,"category_slug":240,"category_path":241,"category_name":242,"category_is_enabled":8},"pool-supply-brand-water-diagnostic-routing","case-studies\u002Fpool-supply-brand-water-diagnostic-routing-1790060651183.webp",810,"Shoppers didn't need a chemical, they needed to know which one","Repeat rate 19% → 52%","A pool chemical brand sold eleven products to people who could not tell which of them solved their problem. A diagnostic path from symptom to product changed the catalog from a shelf into a system.","Pool Chemical Diagnostic Content Case","How symptom-to-product diagnostic content turned a pool chemical catalog into a maintenance system, lifting repeat purchases from 19% to 52%.",[238,223],"07288de0-63ae-47b6-b6fc-eb6c6af8f16e","965e408c-7451-424c-854c-f92cf9de1da0","pools-hot-tubs-and-supplies","patio-lawn-and-garden\u002Fpools-hot-tubs-and-supplies","Pools, Hot Tubs & Supplies",{"id":159,"slug":244,"cover_image":245,"brand_name":7,"is_anonymized":8,"period_months":246,"is_enabled":8,"sort_order":247,"last_modify":11,"created_at":12,"updated_at":13,"locale_code":14,"title":248,"headline_metric":249,"summary":250,"meta_title":251,"meta_description":252,"service_ids":253,"published_at":11,"category_id":255,"category_slug":256,"category_path":257,"category_name":258,"category_is_enabled":8},"snow-removal-brand-weather-triggered-bidding","case-studies\u002Fsnow-removal-brand-weather-triggered-bidding-1790060651183.webp",6,811,"Bidding on the forecast, not on the calendar","In-season ACoS 38% → 17%","Snow removal demand does not arrive in December — it arrives seventy-two hours before a storm, in the specific places the storm is going to hit. Tying bids to forecasts rather than months rewrote the account's economics.","Weather-Triggered Bidding Case Study","How forecast-driven bid and budget shifts cut a snow removal brand's in-season ACoS from 38% to 17% and tripled conversion inside storm windows.",[254,223,22],"119e81ea-2a44-44f5-bd31-a47741039864","e7a3e32f-03f7-485e-9fd6-90f30afaa093","snow-removal","patio-lawn-and-garden\u002Fsnow-removal","Snow Removal",1790082631645]