{"componentChunkName":"component---src-templates-author-js","path":"/blog/authors/tasha-reasor/","result":{"data":{"doc":{"_type":"author","_id":"00288f85-1a18-499f-8739-6cd2d5cdef0e","name":"Tasha Reasor","title":"CMO","url":null,"twitter":null,"linkedin":"https://www.linkedin.com/in/tashareasor/","image":{"crop":null,"hotspot":null,"asset":{"_id":"image-b997acf4133cbe93ac0bbdee29ac0714d3096b7b-800x800-jpg","altText":null,"extension":"jpg","metadata":{"hasAlpha":false,"dimensions":{"height":800,"width":800,"aspectRatio":1}}},"layout":null,"alt":null},"_rawBio":null,"companies":[{"title":"Common Room","mainImage":{"crop":null,"hotspot":null,"asset":{"_id":"image-21fe2a7b347a54d0fd8c7a13aa07a42a7f8a587f-160x160-png","altText":null,"extension":"png","metadata":{"hasAlpha":true,"dimensions":{"height":160,"width":160,"aspectRatio":1}}}}}]},"posts":{"edges":[{"node":{"_type":"post","id":"-cb47295b-b5b8-5d7f-a4bb-40072b7d7634","_id":"154647c1-99ad-45fb-8b6b-26d790b4d271","publishedAt":"2026-06-19T17:51:00.000Z","_createdAt":"2026-06-19T17:44:52Z","_updatedAt":"2026-06-19T18:17:50Z","categories":[{"_id":"067d08c2-833d-447f-8bed-e63211d3c644","title":"Sales teams (PERSONA)","titlePublic":"Sales","slug":{"current":"sales"},"status":"published"}],"mainImage":{"crop":null,"hotspot":null,"asset":{"_id":"image-bed3c42fe12c5e5ec8f27d70cb02b4702784123e-1200x630-jpg","altText":null,"extension":"jpg","metadata":{"hasAlpha":false,"dimensions":{"height":630,"width":1200,"aspectRatio":1.9047619047619047}}},"layout":null,"alt":null},"title":"You're Scoring Leads Like It's 2015","_rawExcerpt":[{"_key":"265cc3966fba","markDefs":[],"children":[{"_type":"span","marks":[],"text":"Firmographic scoring tells you who could buy. It tells you almost nothing about who is ready to buy. That's the gap where pipeline gets wasted. Reps working accounts that look great on paper and go nowhere, while somewhere in your product an account just had three executives sign up in the same week.","_key":"4547620e9f12"}],"_type":"block","style":"normal"}],"readingTimeInMinutes":6,"slug":{"current":"behavioral-lead-scoring"},"isFeatured":null,"hideMainMedia":null,"cardImage":null,"mainVideo":null,"graphic":null,"status":"published","authors":[{"_key":"1276061d6147","author":{"image":{"crop":null,"hotspot":null,"asset":{"_id":"image-b997acf4133cbe93ac0bbdee29ac0714d3096b7b-800x800-jpg"}},"name":"Tasha Reasor","title":"CMO"}}],"companies":[]}},{"node":{"_type":"post","id":"-3ddc503c-ff3b-57c8-a5dc-0d133c34c33d","_id":"cfcc901f-edb6-4744-9765-c20c7be31ba2","publishedAt":"2026-06-12T18:35:00.000Z","_createdAt":"2026-06-10T18:34:27Z","_updatedAt":"2026-06-16T15:57:07Z","categories":[],"mainImage":{"crop":null,"hotspot":null,"asset":{"_id":"image-c76722102616e45f06e1b02bfcf7a0b981453ebe-1200x630-jpg","altText":null,"extension":"jpg","metadata":{"hasAlpha":false,"dimensions":{"height":630,"width":1200,"aspectRatio":1.9047619047619047}}},"layout":null,"alt":null},"title":"You're probably selling to the wrong person","_rawExcerpt":[{"markDefs":[],"children":[{"marks":[],"text":"Your ICP probably describes the wrong person. How PLG companies use win-loss analysis to find their real enterprise buyer.","_key":"310579c45757","_type":"span"}],"_type":"block","style":"normal","_key":"bb4fb1ffb929"}],"readingTimeInMinutes":6,"slug":{"current":"plg-slg-icp-analysis"},"isFeatured":null,"hideMainMedia":null,"cardImage":{"crop":null,"hotspot":null,"asset":{"_id":"image-c76722102616e45f06e1b02bfcf7a0b981453ebe-1200x630-jpg","altText":null,"extension":"jpg","metadata":{"hasAlpha":false,"dimensions":{"height":630,"width":1200,"aspectRatio":1.9047619047619047}}}},"mainVideo":null,"graphic":null,"status":"published","authors":[{"_key":"d09ee668fefd","author":{"image":{"crop":null,"hotspot":null,"asset":{"_id":"image-b997acf4133cbe93ac0bbdee29ac0714d3096b7b-800x800-jpg"}},"name":"Tasha Reasor","title":"CMO"}}],"companies":[]}},{"node":{"_type":"post","id":"-2140c0a6-921d-5594-80d9-4c061e9da698","_id":"370a7fb2-44ce-43fe-af5a-1eb3aba2d2b2","publishedAt":"2026-06-08T17:05:00.000Z","_createdAt":"2026-06-04T17:05:17Z","_updatedAt":"2026-06-05T17:27:11Z","categories":[],"mainImage":{"crop":null,"hotspot":null,"asset":{"_id":"image-7e4e171ad8d0f76256d68225d18b8e36982cf26b-2400x1260-png","altText":null,"extension":"png","metadata":{"hasAlpha":true,"dimensions":{"height":1260,"width":2400,"aspectRatio":1.9047619047619047}}},"layout":null,"alt":null},"title":"You've built the PLG machine, now build what goes on top of it","_rawExcerpt":[{"_key":"4aea634a3c41","markDefs":[],"children":[{"_type":"span","marks":[],"text":"PLG gave you scale. Now build what converts it. A framework for layering a sales motion on top of product-led growth — without starting over.","_key":"74fbe9dd70eb"}],"_type":"block","style":"normal"}],"readingTimeInMinutes":6,"slug":{"current":"plg-slg"},"isFeatured":null,"hideMainMedia":null,"cardImage":{"crop":null,"hotspot":null,"asset":{"_id":"image-b187ee34902e7737f3ee17dd5cd764de2c7882e6-1200x630-jpg","altText":null,"extension":"jpg","metadata":{"hasAlpha":false,"dimensions":{"height":630,"width":1200,"aspectRatio":1.9047619047619047}}}},"mainVideo":null,"graphic":null,"status":"published","authors":[{"_key":"9e61ef70eaae","author":{"image":{"crop":null,"hotspot":null,"asset":{"_id":"image-b997acf4133cbe93ac0bbdee29ac0714d3096b7b-800x800-jpg"}},"name":"Tasha Reasor","title":"CMO"}}],"companies":[]}},{"node":{"_type":"post","id":"-a0896362-26dd-5a44-a3a8-8a5d74097065","_id":"62a32bb1-ecde-4945-8d42-c6d56f3ecb60","publishedAt":"2026-06-02T16:26:00.000Z","_createdAt":"2026-06-02T16:22:28Z","_updatedAt":"2026-06-03T15:39:29Z","categories":[{"_id":"067d08c2-833d-447f-8bed-e63211d3c644","title":"Sales teams (PERSONA)","titlePublic":"Sales","slug":{"current":"sales"},"status":"published"}],"mainImage":{"crop":null,"hotspot":null,"asset":{"_id":"image-bb256ec6a7ef4b04010ff9abb6a926797563c86d-2400x1260-png","altText":null,"extension":"png","metadata":{"hasAlpha":true,"dimensions":{"height":1260,"width":2400,"aspectRatio":1.9047619047619047}}},"layout":null,"alt":"Diagram comparing retrieval vs intelligence. On the left, multiple data signals feed into Common Room's platform: approaching free plan limits, new CTO joined, visited pricing page, competitor mentioned, lead scoring, expansion signals, forums, location, public web enrichment, listening, and chat. On the right, Common Room's UI shows a prioritized prospect list with three segments — economic buyers with high scores, known contacts who changed jobs in the last 3 months, and qualified prospects with product activity in the last month — with individual contacts scored and ranked by fit."},"title":"You bought a Ferrari, but your reps are using it to fetch groceries","_rawExcerpt":[{"_key":"f6af49943622","_type":"block","children":[{"_key":"02f7bb5f1ce3","_type":"span","marks":[],"text":"Learn why scaling AI agents requires more than powerful models — and how a data layer and governance layer are the real keys to production-ready AI."}],"markDefs":[],"style":"normal"}],"readingTimeInMinutes":7,"slug":{"current":"mcp-vs-cli"},"isFeatured":null,"hideMainMedia":null,"cardImage":{"crop":null,"hotspot":null,"asset":{"_id":"image-bb256ec6a7ef4b04010ff9abb6a926797563c86d-2400x1260-png","altText":null,"extension":"png","metadata":{"hasAlpha":true,"dimensions":{"height":1260,"width":2400,"aspectRatio":1.9047619047619047}}}},"mainVideo":null,"graphic":null,"status":"published","authors":[{"_key":"c5915016accb","author":{"image":{"crop":null,"hotspot":null,"asset":{"_id":"image-b997acf4133cbe93ac0bbdee29ac0714d3096b7b-800x800-jpg"}},"name":"Tasha Reasor","title":"CMO"}}],"companies":[]}}]}},"pageContext":{"id":"-7b84eeea-b718-5e04-a868-e2483f555510","_id":"00288f85-1a18-499f-8739-6cd2d5cdef0e"}},"staticQueryHashes":["1103062666","1114827244","1205817653","1232385435","1291262602","1342715763","1376961975","1427225953","1520198276","1590856782","1594459315","1645518079","1702343420","189493211","2141329968","2263568166","2267330285","2344000787","2348058626","2349192796","2392551400","2520474177","2608229151","2694698993","2763739722","277772772","2926084749","2929656701","3030471832","3287603011","3302639276","3304847038","3668403506","3696059859","3822191430","3909597242","3917076254","4160255059","4201871693","455672959","709110368","769109155","779970088","975170159"]}