Avinash Kaushik
Most marketing organisations collect more data than they act on and run more campaigns than they can defend. The gap between dashboards and decisions has widened with generative AI, not closed. Senior leaders need a way to connect customer intent, measurement and commercial outcomes without handing the argument to the loudest vendor in the room.
Avinash Kaushik helps marketing leaders turn data and AI into commercial decisions, drawing on sixteen years inside Google and two bestselling books on web analytics.
Full Profile
Why organisations work with Avinash Kaushik
- He built the intellectual vocabulary a generation of marketers now uses, including the See-Think-Do-Care framework that maps content, media and measurement to real customer intent.
- Sixteen years as Google’s Digital Marketing Evangelist gave him a view of marketing performance across most of the world’s largest advertisers, not a single case study.
- He bridges analytics and brand in a room that usually forces leaders to pick one, advising both a measurement firm (Human Made Machine) and a global fashion group (Tapestry).
- His books sit on the desks of working practitioners in ten-plus languages; the argument has survived translation, platform change and the rise of generative AI.
- He is unusually direct about what does not work in marketing measurement, which is why senior buyers use him to sharpen internal debates rather than flatter them.
Biography highlights
- Former Senior Director of Global Analytics and Digital Marketing Evangelist at Google, a sixteen-year tenure.
- Global Chief Strategy Officer at Human Made Machine; Brand Strategy and Marketing Transformation Consultant at Tapestry.
- Author of “Web Analytics: An Hour a Day” and “Web Analytics 2.0” (Wiley), translated into more than ten languages.
- Originator of the See-Think-Do-Care framework for intent-based marketing strategy.
- Recipient of the American Statistical Association’s Statistical Advocate of the Year and the Web Analytics Association’s Most Influential Industry Contributor award.
- Writes “The Marketing Analytics Intersect” newsletter, read by approximately 55,000 marketing and analytics leaders.
Biography
Marketing leaders rarely struggle for data. They struggle to decide what any of it means for growth next quarter. That is the problem Avinash Kaushik has spent two decades making tractable, first inside Google as its Senior Director of Global Analytics and Digital Marketing Evangelist, and now as global Chief Strategy Officer at Human Made Machine and brand strategy consultant to Tapestry.
His See-Think-Do-Care framework reframed digital marketing around customer intent rather than channel or demographic, and it is now embedded in the working language of marketing teams from consumer goods to financial services. It is a simple idea with a disciplined consequence: measurement and content have to follow the audience’s state of mind, not the agency’s media plan.
Two books, “Web Analytics: An Hour a Day” and “Web Analytics 2.0”, carried that argument into practice and have been translated into more than ten languages. The American Statistical Association named him Statistical Advocate of the Year; the Web Analytics Association recognised him as its Most Influential Industry Contributor. He has taught and advised at Stanford, USC Annenberg and the Rotman school at Toronto.
What sets his current work apart is the refusal to treat AI as a separate topic. In rooms with CMOs and CFOs, he draws the line from intent-based customer understanding to incrementality-based measurement to where generative AI actually earns its keep. The recommendation is usually sharper and the vendor pitch usually weaker by the time he is done.
Key speaking topics
- Intent-centric marketing strategy
- Incrementality-based marketing measurement
- AI and generative AI in marketing
- Digital analytics and data-driven decision making
- Customer-centric growth and retention
- Marketing transformation for senior leaders
- The See-Think-Do-Care framework in practice
Ideal for
- CMOs and marketing leadership teams rebuilding measurement for an AI-first environment.
- Boards and executive teams stress-testing the commercial return from digital and marketing investment.
- Heads of analytics, data and performance marketing aligning with brand and commercial functions.
- CEO and CFO audiences who want a serious outside view on marketing’s contribution to growth.
Audience outcomes
- A clearer line between customer intent, marketing activity and commercial outcome.
- A sharper test for whether a measurement approach is actually incremental or just reported.
- A working critique of how generative AI is being sold into marketing and where it earns real return.
- A shared vocabulary, grounded in See-Think-Do-Care, that senior teams can use to align content, media and measurement.
- A more confident internal argument about where to stop investing, not only where to invest more.