Explore an extensive library of conference decks designed to enlighten and empower professionals in the SEO, analytics, and data science industry. These presentations are meticulously crafted to deliver valuable insights, practical strategies, and actionable techniques to help you navigate the ever-evolving digital landscape to audiences of hundreds of professionals across the globe.
Lazarina Stoy’s conference speaking experience is extensive, and her decks will guide you through proven methodologies, industry best practices, and cutting-edge techniques that will empower you to make data-driven decisions and optimize your digital strategies for maximum impact.
As a sought-after speaker and expert in SEO, analytics, and data science, Lazarina Stoy has delivered captivating presentations at prestigious conferences around the world, including BrightonSEO, PubCon, SMXL, and WTSFest. Now, you have the opportunity to access her knowledge and benefit from insights, tips, and tricks to stay ahead in this competitive industry.
From beginner-friendly introductions to advanced techniques, these presentations cater to professionals at all levels, helping them gain a deeper understanding of the intricacies of these fields and enabling career growth and success.
5 Phases of NLP (Natural Language Processing) and their applications in SEO
Talk description: A speed-run on ideas for implementing machine learning in SEO, day-to-day. We go through a bit of the theory behind ML and what you need to get started, a few ideas to start to see value quickly like text classification, content and keyword clustering, fuzzy matching, content transformation, and more. Then wrap up with the resources you need to get started.
Presented at: We Love SEO 2024
Location: Web Conference
Conference Style: Online
Related Resources:
- Semantic ML-Enabled Keyword Research Course
- MLforSEO – Machine Learning Training Platform for Organic Search Marketers
- 5 phases of NLP – blog post and video
How To Incorporate Machine Learning Into Your SEO Day-to-Day
Talk description: A speed-run on ideas for implementing machine learning in SEO, day-to-day. We go through a bit of the theory behind ML and what you need to get started, a few ideas to start to see value quickly like text classification, content and keyword clustering, fuzzy matching, content transformation, and more. Then wrap up with the resources you need to get started.
Presented at: TechSEO Connect
Location: Raleigh, NC – USA
Conference Style: In-person
Related Resources:
- introduction to machine learning for SEO course
- MLforSEO – Machine Learning Training Platform for Organic Search Marketers
How to automate your content audit with ML APIs
Talk description: A step-by-step guide on implementing machine learning in SEO content audits. Different ways to automate tasks and involve models like topic modelling, text classification, entity analysis, fuzzy matching into auditing content, to improve your content audit systems and create a better overall audit, quicker.
Presented at: BrightonSEO
Location: Brighton, UK
Conference Style: In-person
Related Resources:
- introduction to machine learning for seo course
- MLforSEO – Machine Learning Training Platform for Organic Search Marketers
- How to do Entity Analysis in Google Sheets + associated templates
- How to do Text Classification in Google Sheets + associated templates
- Topic Modelling: A Deep Dive into LDA, hybrid-LDA, and non-LDA Approaches
- Ultimate End-to-End Guide to Fuzzy Matching For SEOs (with Google Sheets template)
Content Transformation Framework of the Future
Talk description: How to make your content work harder – an overview of the what, why, and how of modern ML-powered content transformation. Discusses text-to-speech, speech-to-text, and text-to-text transformation tools and APIs, and best practices for content transformation.
Presented at: SEonthebeach 2024
Location: Murcia, Spain
Conference Style: In-person
Related Resources:
- MLforSEO – Machine Learning Training Platform for Organic Search Marketers
How to Automate Your Content SEO Audit with the Help of Machine Learning Models
Talk description: A step-by-step guide on implementing machine learning in SEO content audits. Different ways to automate tasks and involve models like topic modelling, text classification, entity analysis, fuzzy matching into auditing content, to improve your content audit systems and create a better overall audit, quicker.
Presented at: SERPConf. 2024
Location: Sofia, Bulgaria
Conference Style: In-person
Related Resources:
- MLforSEO – Machine Learning Training Platform for Organic Search Marketers
- How to do Entity Analysis in Google Sheets + associated templates
- How to do Text Classification in Google Sheets + associated templates
- Topic Modelling: A Deep Dive into LDA, hybrid-LDA, and non-LDA Approaches
- Ultimate End-to-End Guide to Fuzzy Matching For SEOs (with Google Sheets template)
When to use Machine Learning Models in SEO and Which ones to use
Talk description: A walk-through of different ways you can incorporate machine learning in SEO tasks. It will involve a speed-run of different task categories and aspects of SEO work, and the models that you can use for this purpose, and the results of a comparative analysis of how some of them perform.
Listeners of this talk left with an understanding of (1) what are different ML models, and where to incorporate them in their day-to-day SEO work, (2) why and how to choose one solution over the other, (3) how to get started with the recommended ones (will be sharing videos/templates/walk-throughs).
Presented at: inOrbit 2024
Location: Portorož, Slovenia
Conference Style: In-person
Related Resources:
- MLforSEO – Machine Learning Training Platform for Organic Search Marketers
- How to do Entity Analysis in Google Sheets + associated templates
- How to do Text Classification in Google Sheets + associated templates
Beginner-friendly guide to ML-enabled аutomation in organic marketing
Talk description: Everything you need to get started with automation of simple tasks in SEO and organic marketing – theory, templates, and applications. Covers not only the why and how of automation, but also the soft and hard skills needed to get started.
Presented at: SMXL Milan 2023
Location: Milan, Italy
Conference Style: In-person
Related Resources:
Data Storytelling
Talk Description: Discusses data storytelling in SEO, including elements, skills, components of action-provoking data stories, and six practical ways to implement data storytelling in consulting. Also provides a checklist for guiding your data storytelling journey.
Presented at: WTSFest 2023, March 2023
Location: London, UK
Conference Style: In-person
Related Resources:
- Data Storytelling Guide Part I: Beginners’ Guide to Data Storytelling for Digital Marketing Consultants and Analysts
- Data Storytelling Guide Part II: Six Practical Ways to Implement Data Storytelling in your Consulting
- 10 Common Data Storytelling Mistakes and How to Avoid Them
- Data Storytelling Checklist
Machine Learning in Search: Google’s ML APIs vs OpenAI’s APIs for SEO Use cases
Talk Description: Lazarina talks about the different SEO use cases of Google’s library of ML-based APIs.
Presented at: PubCon, March 2023
Location: Austin TX, USA
Conference Style: In-person
Related Resources:
How to Incorporate Machine Learning in Your SERP Analysis
Talk Description: Lazarina discusses incorporating machine learning into SERP analysis, including limitations of current methods, programmatic approaches, and visualization of findings.
Presented at: BrightonSEO, October 2022
Location: Brighton, UK
Conference Style: In-person
Related Resources:
How to Implement Machine Learning in Your Internal Linking Audit
Talk Description: Lazarina discusses analyzing internal linking structures using machine learning, creating content clusters, finding linking opportunities, and measuring impact.
Presented at: BrightonSEO, April 2022
Location: Brighton, UK
Conference Style: In-person
Related Resources:
Building a Search Intent-Driven Website Architecture
Talk Description: A-to-Z guide on building a website architecture that takes into account search intent, including aspects like internal linking, CTAs, topic clusters, and content organization.
Presented at: SEO Mastery Summit
Conference Style: Web
Related Resources:
A beginner’s guide to machine learning for SEOs
Talk description: Lazarina introduces machine learning algorithms, opportunities for implementation in SEO, and implementation approaches, with emphasis on no-code alternatives.
Presented at: BrightonSEO, April 2022
Location: Brighton, UK
Conference Style: In-person
Related Resources:
Intent-Based International Keyword Research
Talk description: Lazarina talks about classifying search intent for keywords in international campaigns and different languages.
Presented at: International Search Summit, November 2022
Location: Barcelona, Spain
Conference Style: In-person
Related Resources:
Looker Studio for SEOs: Reporting Automation Tips
Talk description: Lazarina presents reporting and Looker Studio automation tips and a visualisation framework for turning spreadsheets into dashboards.
Presented at: WeeklySEO, February 2022
Conference Style: Virtual
Related Resources:
Interactive Core Web Vitals In Google Looker Studio
alk description: Lazarina presents her approach for interactive reporting for Core Web Vitals performance and progress-tracking.
Presented at: MeasureFest (a BrightonSEO event), September 2021
Location: Brighton, UK
Conference Style: In-person
Related Resources: