{"version":"1.0","type":"card","id":"d7b9bda8-0a0c-4288-8691-39e95281f1c1","url":"https://stacklist.com/card/d7b9bda8-0a0c-4288-8691-39e95281f1c1","title":"When Tigrett Outdoors Drives Results with Otis AI","source_url":"https://www.linkedin.com/posts/miguelmeep_when-tigrett-outdoorsknown-for-top-notch-activity-7283131677684465664-vESm?utm_source=share&utm_medium=member_desktop&rcm=ACoAACGCpfwBeS4Pe7lemu-K0NRYYQylRfIUvI0","note":"This page discusses how Tigrett Outdoors partnered with Otis AI to enhance their advertising effectiveness and achieve significant sales growth. By leveraging customer data and optimizing campaigns, they achieved a 3.6x average increase in sales and a 3.94x ROI.","image":{"url":"https://ucarecdn.com/2fb2be20-f580-4125-a36a-952f00ca34aa/","alt":"When Tigrett Outdoors Drives Results with Otis AI","width":1200,"height":628},"stack":{"id":"3c7b415a-f288-4766-bab4-d208c71d8710","title":"Otis AI Customer Case Studies","url":"https://stacklist.com/c/business/stack/3c7b415a-f288-4766-bab4-d208c71d8710"},"created_at":"2026-08-20T09:39:38.066Z","updated_at":null,"aco":{"summary":"Tigrett Outdoors partnered with Otis AI to optimize their digital advertising, using lookalike audiences, remarketing, and real-time budget adjustments to maximize ad performance. The campaign achieved a 3.6x average increase in sales, a 3.94x ROI, and over $100K in purchase value.","tags":["digital-advertising","e-commerce","roi","audience-targeting","outdoor-gear","ad-optimization","case-study"],"key_entities":[{"name":"Tigrett Outdoors","type":"organization","confidence":0.98},{"name":"Otis AI","type":"organization","confidence":0.99},{"name":"Miguel Guerrero","type":"person","confidence":0.95},{"name":"Andrew Joseph","type":"person","confidence":0.7},{"name":"Chiara Squillantini","type":"person","confidence":0.7},{"name":"Juan Pablo Carrasquilla","type":"person","confidence":0.75},{"name":"Amelia Tran","type":"person","confidence":0.7},{"name":"lookalike audiences","type":"concept","confidence":0.9},{"name":"remarketing","type":"concept","confidence":0.9}],"classification":"analysis","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-08-20T09:39:48.219Z"},"token_counts":{"approximate":397,"cl100k":379},"content_hash":"sha256:944366073bb512a6913fe8d3de4ac20f7f85533c67c461736a4c364226920c46","acp_version":"0.2","body_available":true,"body_tokens":397,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/d7b9bda8-0a0c-4288-8691-39e95281f1c1.json","html":"https://stacklist.com/card/d7b9bda8-0a0c-4288-8691-39e95281f1c1","md":"/api/public/card/d7b9bda8-0a0c-4288-8691-39e95281f1c1.md","stack_json":"/api/public/stack/3c7b415a-f288-4766-bab4-d208c71d8710.json"}}