Based on 5 reviews
Anand Gupta is a personal website and blog focused on data, analytics, and artificial intelligence, featuring field notes from 14 years of professional experience in retail, ad tech, and platform analytics.
The site covers topics such as incrementality testing in clean rooms, the use of large language models in retail analytics workflows, and attribution metrics.
The website functions as a content and writing portfolio rather than a commercial product or service offering.
Some reviewers on Reddit mention that Anand Gupta prefers C++ over Java and discourages code written in any language except C and C++.
The blog includes articles titled 'Why incrementality testing keeps breaking in clean rooms' and 'What Claude actually changes for a retail analytics team'.
The site was last updated with content in July 2026, including posts on attribution metrics and LLM-assisted analysis.
The Trustburn rating is 3.8 out of 5 based on 5 reviews.
Some users on Reddit ask for specific DBMS PowerPoint presentations used by Anand Gupta in teaching contexts.
The official website of Anand Gupta is anandgupta.io.
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The website clearly communicates Anand Gupta’s expertise in data, analytics, and AI. The articles on incrementality and clean rooms provide valuable insights for professionals in the field. It is a well-organized resource for anyone interested in measurement and attribution strategies.
Anand Gupta has established a comprehensive digital presence that covers the full spectrum of modern data challenges. The articles delve into specific technical issues like the gap between clean room promises and actual measurement capabilities. With fourteen years of experience spanning retail, ad tech, and platform analytics at companies like Woolworths, Walmart, and Atlassian, the content feels deeply informed by real-world application. The focus on incrementality testing and attribution models provides a clear framework for understanding why traditional metrics often fail. Furthermore, the exploration of how AI tools like Claude are changing day-to-day work adds a contemporary layer to the traditional analytics discourse. The consistent publication schedule and detailed field notes suggest a dedicated professional committed to clarifying complex measurement problems for teams navigating the evolving landscape of digital advertising and retail analytics.
The site clearly outlines Anand Gupta’s extensive background in data measurement and analytics across various major industry players.
Anand Gupta’s site offers a refreshing take on the intersection of data, analytics, and AI. The articles on how LLM-assisted analysis genuinely saves time while avoiding quiet misleadings are incredibly useful for retail analytics teams. The background across major platforms like Google and Amazon adds significant credibility. This is a must-read resource.
While the field notes on incrementality and clean rooms offer valuable insights into how measurement tools are reshaping analytics, the available information does not clarify pricing structures. For someone considering engaging Anand Gupta for consulting services, the lack of explicit cost details creates uncertainty about the financial commitment required.
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Anand Gupta maintains a personal website and blog focused on data, analytics, and artificial intelligence. The site features field notes drawn from 14 years of professional experience in retail, ad tech, and platform analytics. Articles cover topics such as incrementality testing in clean rooms, the use of large language models in retail analytics workflows, and attribution metrics. The site functions as a content and writing portfolio rather than a commercial product or service offering.