Avinash Kaushik — CSO@HMM, Marketing@Tapestry | 2x Best Selling Author: Analytics.
CSO@HMM, Marketing@Tapestry | 2x Best Selling Author: Analytics.
Avinash Kaushik ranks #343 of 18,576 LinkedIn creators in Marketing & Advertising, and is a standout voice in United States. They have 300.6K followers and published 31 posts in the last 60 days at a 0.0% average engagement rate.
- 300.6K followers
- 31 posts / 60d
- 0.0% avg engagement
- — follower growth / 30d
The roast
Avinash is the only consultant in history who spent sixteen years at Google just to master the art of writing LinkedIn posts that maintain a statistically significant silence. His See-Think-Do-Care framework is a masterclass in irony, considering his followers see his posts, think about ignoring them, and do exactly that.
About Avinash
Avinash is the Chief Strategy Officer at Human Made Machine and a Brand Strategy Consultant at Tapestry. He is also the best-selling author of Analytics 2.0 and Web Analytics: An Hour a Day. His prior experience includes a sixteen-year stint at Google, and leadership roles at Intuit, DirecTV, Silicon Graphics in the US & DHL in Saudi Arabia. His professional career has focused on elevating the "think" via frameworks that expand the horizon of possibilities across AI, Marketing, and Analytics. He actively contributes to elevating the "ink" by sharing practical and actionable advice via his weekly newsletter, The Marketing < > Analytics Intersect. Avinash has become recognized as an authoritative voice on Incrementality-centric Marketing. His strategic framework See-Think-Do-Care lays out an expansive role for Marketing in delivering customer joy and company profits. His "Smart Clusters" framework outlines focused analytics solutions that solve for the high standards of a CFO - all powered by inventive "trust, but verify" accountability. He has received rave reviews for bringing his energetic, inspiring, and practical insights to companies like Unilever, MetLife, Chanel, Porsche, and IBM. He has delivered keynotes at global conferences, including Monaco Media Forum, Ecommerce Innovation Summit, Nordic Business Forum, and The Art of Marketing) Acting on his passion for teaching, Avinash has lectured at major universities such as Stanford University, University of Virginia, University of California - Los Angeles, and University of Utah. Among the awards Avinash has received are Statistical Advocate of the Year from the American Statistical Association, Most Influential Industry Contributor from the Web Analytics Association, and Founder's Award from Google.
Highlights
- Big Audience — 300,601 followers · top 1%
- Top 5% in United States — Ranked #136 of 5851 creators
- Consistent Creator — 31 posts in 30d · top 5%
- Top 10% in Marketing & Advertising — Ranked #72 of 1354 creators
Recent posts
Sticker on my laptop: "However beautiful the strategy, you should occasionally look at the results!" The sticker challenges a common leadership failure: Becoming emotionally attached to the plan/strategy. Strategy is hard. Leaders invest time, credibility, political capital in it. Once locked in, evidence can feel like an attack, rather than information. Then, the leader, their teams, spend months/quarters explaining why the strategy *should* work, instead of confronting the fact that it is not working. A compelling vision matters. A clear strategy matters. But neither is a substitute for o
32 reactions · 12 comments · 0 reposts
Are your marketing BFFs lying to you? Ad Recall and Aided Awareness. Heartbreaking news: Yes! Consumer research, along with meta-analyses spanning hundreds of millions of dollars in campaign investments, suggests that increases in these metrics do not necessarily reflect a meaningful shift in brand perception, consideration, or purchase intent. There are three important reasons why. More on those below. But first, consider why platforms love these metrics: they tend to increase as long as media delivery is functioning properly. No matter what you do, there is often a lift. Sometimes a very
31 reactions · 8 comments · 3 reposts
The key to successful LLM results: Getting the "how hard" vs. "how much" balance right. If you have unlimited tokens and unlimited time... Go top right. For the rest of us, 😉, I've created this simple 2x2 to help you make more informed choices. My inspiration was a post by someone Anthropic, they were trying to give the same guidance. The post was long, and really complicated. My hope with this little graphic was to make the knowledge more accessible. Since it was Anthropic inspired, the models below are from Claude. The decision making applies across OpenAI and others. One final tip: If
25 reactions · 8 comments · 0 reposts
Last updated 2026-08-04