Hamlet Batista is CEO and founder of RankSense, an agile SEO platform for online retailers and manufacturers. He holds U.S. patents on innovative SEO technologies, started doing SEO as a successful affiliate marketer back in 2002, and believes great SEO results should not take 6 months.
Prior to founding RankSense Inc, Hamlet co-invented Altruik’s Page Priority®, an enterprise-level SEO software product that pioneered automated resolution of site architecture issues. On average, clients experienced a double-digit increase in sales year over year from organic search and a patent was filed for this invention. Hamlet also created the patented software RankSense®, an SEO product focused on simplifying SEO for small businesses, which earned WebHost Magazine’s prestigious Editor’s Choice Award in December 2008.
Additionally, Hamlet served as the technical review editor for the first and second editions of the book “The Art of SEO” published by O’Reilly Media, which was named as one of the best SEO books of 2009 by SearchEngineLand, and is a Search Engine Marketing award-winning blogger and conference speaker. Other achievements include the launch of a highly successful Affiliate Marketing Network in the competitive Online Pharmaceutical vertical which resulted in first page rankings for competitive pharmaceutical product keywords on Google and abundant affiliate commissions.
Executive Education / Stanford Graduate School of Business, Stanford Latino Entreprenurship Initiative Education: Scaling Business
Pontificia Universidad Católica Madre y Maestra, Telecomunications Engineer Electronics, Computers, Telecommunications, Systems Programming, Computer Networking
“Learning Python empowers the SEO community to automate and then innovate.”
Upcoming Speaking Engagements
What I Learned From Teaching Python to Marketers and SEOs Feb. 27, 2020
In this one hour MarketMuse Webinar, Hamlet Batista discusses the benefits of learning Python for your content strategy, the role content plays in building a following, keys to building an engage audience, and takeaways to apply to your own brand.
A one-day, single-track event that brings together a collection of the world’s leading marketing experts. Traffic Think Tank LIVE 2020 will focus on delivering tactical sessions on SEO, content marketing, conversion optimization, and automation.
Not only that, but the event will break away from the traditional “sit and listen” format, introducing a smaller, more intimate setting that facilitates greater networking, the ability to chat directly with speakers (and other attendees) during a roundtable session, and to have your specific challenges addressed.
TechSEO Boost 2018
Raleigh SEO Meetup 2019
UnGagged Los Angeles 2019
Hamlet Batista on AI Marketing
Hamlet Batista believes that learning Python empowers the SEO community to become more data-driven. With Python, the only limit is your knowledge and creativity. You can use it for everything, from automating tedious tasks to performing complex data analysis.
Learn this programming language allows you to experiment and innovate with every new challenge. Incorporating Python code into your SEO work opens up your data collection and analysis to a wide range of novel methodologies and discoveries.
In this post, Hamlet first discusses automated text summarization, finding existing code to use for summarization, downloading the code, and preparing the environment. Then he shows how to scrape the main content and use abstractive text summarization to generate a summary. Finally, looks at some of the limitations of text summarization and resources where you can learn more.
In this step-by-step guide, Hamlet shows readers how to blend data tables fro different tools to gain new insights using Python. In addition, he looks at five use cases; adding conversion/revenue data to Google Search Console, Correlating links and domains over time with traffic increase, correlating new user visits to content length, narrowing down pages with changes in traffic, and finding high-converting paid search keywords with poor SEO rankings.
This three-part series covers everything you need to know about recovering SEO site traffic with the help of Python. Part one introduces the idea of using Python to speed up the critical job of traffic analysis in recovering from a poorly executed site redesign or migration. Part two delves deeper in how Python can help, including useful code snippets and resources. The last part shows how to automatically group pages using machine learning.
Remember to have a look at our list of who is who in AI marketing.