The Trust Insights YouTube Binge-Watching Guide
In this video compendium, we’ve got all our 2020-2025 YouTube videos sorted by category so you can find what you’re looking for more easily. All links go straight to the associated YouTube video, so pull up a chair, grab a refreshment and maybe a notepad, and enjoy!
Important Disclaimers
Videos can appear in more than one category, so there will be repeats here and there.
These videos date back to 2020, so caveat observator – some of the information will be out of date. We’ve annotated the year of the video and each category is sorted newest to oldest.
All Things Google
- How to Streamline Your Marketing with Google NotebookLM (2025)
- Google Analytics 4 Audit Basics (2024)
- How to Make Universal Analytics-Style Menus in Google Analytics 4 (2023)
- Setting up and using Google Business (2023)
- Turn this Google Analytics setting OFF if you use GA4 (2023)
- Data Diaries BTS: Compiling Bing and Google Search Console Data (2022)
- Google Analytics 4 Migration (2022)
- Google Analytics Promo (2022)
- Google Search Console and SEO Tool Data (2022)
- How to Set Goals / Conversions in Google Analytics 4 (2022)
- Is Your Google Analytics 4 Implementation Correct? (2022)
- Using Google Data Studio with Google Analytics 4 data (2022)
- 3 Easy Wins in Google Analytics 4 (2021)
- Auditing Google Tag Manager (2021)
- Basic Attribution Modeling in Google Analytics 4 (2021)
- Google Analytics 4 Attribution Modeling Walkthrough (2021)
- Google Analytics Audit Case Study Review (2021)
- Google Analytics Competitive Benchmarking (2021)
- Google Analytics UTM Tracking Order of Operations (2021)
- Google Analytics and Third Party Data (2021)
- Google MUM, SEO, and Content Strategy (2021)
- Google Postmaster Tools (2021)
- How to Set Goals in Google Analytics 3 That Are Compatible with Google Analytics 4 (2021)
- How to add to your Google Cloud Platform account (2021)
- Introduction to Google Search Console (2021)
- Lead Generation Spam and Google Ads Fraud (2021)
- Getting Started With Google Data Studio (2020)
- Planning a Google Analytics 4 Migration (2020)
Social Media
- In-Ear Insights: Tiktok Marketing, Social Media Strategy, and Diversification (2025)
- How to Use AI for Social Media Marketing (2024)
- In-Ear Insights: Social Media Marketing Basics for Food & Beverage (2023)
- In-Ear Insights: Social Media ROI (2023)
- In-Ear Insights: Tiktok and Marketing Mix Modeling (2023)
- Social Media Marketing (2022)
- TikTok and Social Media Analytics (2022)
- Basics of Tiktok Analytics and Tiktok Data (2021)
“- Ethics, Explainability, AI, and Tiktok (2021)“ - Roadmap for Quitting Facebook As a Business (2021)
- Understanding the LinkedIn Algorithm for Engagement (2021)
- Do Instagram Hashtags Improve Engagement? (2020)
Data & Analytics
- Analytics for Sales (2024)
- Generative AI and Analytics (2024)
- Google Analytics 4 Audit Basics (2024)
- How to Migrate Your Universal Analytics (2024)
- In-Ear Insights: Limitations of Generative Analytics (2024)
- In-Ear Insights: Predictive Analytics If You’re Data-Poor (2024)
- In-Ear Insights: Predictive Analytics and Reducing Churn (2024)
- In-Ear Insights: What is Generative Analytics? (2024)
- Setting up Matomo Analytics in 2024 (2024)
- Using Generative AI for Competitive Analysis (2024)
- How Data Analytics Powered The Save Warrior Nun Campaign (2023)
- How to Make Universal Analytics-Style Menus in Google Analytics 4 (2023)
- In-Ear Insights: Analytics Use Cases for Large Language Models (2023)
- In-Ear Insights: Data Science vs. Data Analytics: What’s the Difference? (2023)
- In-Ear Insights: How To Use Generative AI For Competitive Analysis (2023)
- In-Ear Insights: Predictive Analytics, Productivity, and Management (2023)
- Predictive Analytics for your annual planning (2023)
- Turn this Google Analytics setting OFF if you use GA4 (2023)
- Using Generative AI for Survey Analysis (2023)
- 2022 B2B Marketing Metrics (2022)
- Adobe Summit 2022 Network Map (2022)
- Analytics Amnesty and Change Management (2022)
- Exploratory Data Analysis for MAICON 2022 (2022)
- Google Analytics 4 Migration (2022)
- Google Analytics Promo (2022)
- How to Set Goals / Conversions in Google Analytics 4 (2022)
- Is Your Google Analytics 4 Implementation Correct? (2022)
- MAICON 2022 Exploratory Data Analysis VR session (2022)
- SXSW 2022 Network Map by (2022)
- TikTok and Social Media Analytics (2022)
- Using Exploratory Data Analysis (EDA) to understand your marketing (2022)
- Using Google Data Studio with Google Analytics 4 data (2022)
- 3 Easy Wins in Google Analytics 4 (2021)
- Analytics Ask Us Anything (2021)
- Basic Attribution Modeling in Google Analytics 4 (2021)
- Basics of Tiktok Analytics and Tiktok Data (2021)
- Common Marketing Metrics and B2B Marketing Strategy (2021)
- Google Analytics 4 Attribution Modeling Walkthrough (2021)
- Google Analytics Audit Case Study Review (2021)
- Google Analytics Competitive Benchmarking (2021)
- Google Analytics UTM Tracking Order of Operations (2021)
- Google Analytics and Third Party Data (2021)
- How do I clean and prep my data for analysis – Part 3 (2021)
- How do I clean and prep my data for analysis, part 1 (2021)
- How do I prep my data for analysis part 4 (2021)
- How to Set Goals in Google Analytics 3 That Are Compatible with Google Analytics 4 (2021)
- SEO Competitive Analysis Basics (2021)
- UTM Tracking Code Explanation for Beginners (2021)
- YouTube Analytics for B2B Marketers (2021)
- Dealing With Failed Analytics Projects (2020)
- Math Skills for Marketing Analytics (2020)
- Planning a Google Analytics 4 Migration (2020)
- The Value of Analytics (2020)
- Viewthrough Conversions and Attribution Analysis (2020)
Content Marketing
- Mastering Prompt Engineering for Marketers Course Contents (2025)
- Generative AI for Content Personalization (2024)
- How to Use Generative AI to Audit Content Marketing (2024)
- Mailbag Monday: Different people, same ChatGPT content? (2023)
- AI Assisted Content Marketing (2022)
- Content Marketing – subscription versus advertising (2022)
- Content Marketing Strategy (2022)
- Content Marketing Trends (2022) (2022)
- Fireside Chat: Copyright, Intellectual Property, and AI Generated Content with Attorney Ruth Carter (2022)
- How to Customize Content Without the Data? (2022)
- Auditing Your Content Marketing (2021)
- Content Formats and Reducing Friction (2021)
- Content Marketing Pet Peeves (2021)
- Google MUM, SEO, and Content Strategy (2021)
- How to Measure Your Content (2021)
- Using Data to Build a Content Marketing Roadmap (2021)
- Using SEO data to place sponsored content (2021)
- Content Curation for your Personal Brand (2020)
- Recycling Content Post Example (2020)
SEO
- How to use AI for SEO (2024)
- Revisiting Video SEO tactics (2023)
- Data Diaries BTS: Compiling Bing and Google Search Console Data (2022)
- Do You Need To Be an SEO Expert in 2023? (2022)
- Google Search Console and SEO Tool Data (2022)
- What to do when SEO isn’t working (2022)
- What’s Working for SEO in 2022 (2022)
- Google MUM, SEO, and Content Strategy (2021)
- Introduction to Google Search Console (2021)
- Putting your SEO data to work (2021)
- SEO Ask Us Anything (2021)
- SEO Competitive Analysis Basics (2021)
- SEO Keyword Identification Processes (2021)
- SEO and Customer Retention (2021)
- Solutions in search of problems (2021)
- Using SEO data to place sponsored content (2021)
- Core Web Vitals and 2021 SEO Planning (2020)
- Optimizing Pages for SEO (2020)
- Video Marketing and Video SEO (2020)
Data Science, AI, and Machine Learning
- How to use Generative AI to Analyze Data (2025)
- In-Ear Insights: AI Strategy for How To Keep up With AI Technology Changes (2025)
- In-Ear Insights: Analyzing Data with Generative AI (2025)
- In-Ear Insights: Generative AI Reasoning Models For Scenario Planning (2025)
- In-Ear Insights: What Are AI Agents? (2025)
- Setting up a Local Model for AI (2025)
- [SHORT] In-Ear Insights Analyzing Data with Generative AI (2025)
- [SHORT] In-Ear Insights: Generative AI Reasoning Models For Scenario Planning (2025)
- [SHORT] In-Ear Insights: What Are AI Agents? (2025)
- Automating Email Newsletters With Generative AI (2024)
- Generative AI Advanced Prompting Techniques (2024)
- Generative AI and Analytics (2024)
- Generative AI and Photoshop (2024)
- Generative AI for Content Personalization (2024)
- Generative AI in 2024 (2024)
- How To Build an AI Agent (2024)
- How To Use Generative AI to Build Marketing Plans (2024)
- How to Assess Your AI Readiness: 5 Considerations for Businesses (2024)
- How to Identify Generative AI Use Cases (2024)
- How to Use AI for Email Marketing (2024)
- How to Use AI for Social Media Marketing (2024)
- How to Use Generative AI to Audit Content Marketing (2024)
- How to identify use cases for Generative AI at Agencies (2024)
- How to use AI for SEO (2024)
- In-Ear Insights: 4 Power Questions to Ask Generative AI Language Models (2024)
- In-Ear Insights: AI Readiness at MarketingProfs B2B Forum (2024)
- In-Ear Insights: CEO Perspective on Generative AI and the Future of Work (2024)
- In-Ear Insights: Data Privacy and Generative AI (2024)
- In-Ear Insights: Generative AI And Lead Generation (2024)
- In-Ear Insights: Generative AI Data Management Best Practices (2024)
- In-Ear Insights: Generative AI Limitations in Marketing (2024)
- In-Ear Insights: Generative AI and Professional Development (2024)
- In-Ear Insights: Generative AI for Conference Attendees (2024)
- In-Ear Insights: Generative AI for Non-Business Use Cases (2024)
- In-Ear Insights: Generative AI for Strategic Planning (2024)
- In-Ear Insights: Generative AI in 2024 (2024)
- In-Ear Insights: How to Build an AI Strategy (2024)
- In-Ear Insights: How to Use Generative AI in Sales (2024)
- In-Ear Insights: Limitations of Generative Analytics (2024)
- In-Ear Insights: Predictive Analytics If You’re Data-Poor (2024)
- In-Ear Insights: Predictive Analytics and Reducing Churn (2024)
- In-Ear Insights: Rapid Scenario Planning with Generative AI (2024)
- In-Ear Insights: Responsible AI Part 1, Overview (2024)
- In-Ear Insights: The RAPPEL AI Prompt Framework Explained (2024)
- In-Ear Insights: The RAPPEL AI Prompt Framework Explained (2024)
- In-Ear Insights: What Are AI Ethics? (2024)
- In-Ear Insights: What is Generative Analytics? (2024)
- Solving data problems with Generative AI (2024)
- The Future of AI Podcasting: Trends and Predictions (2024)
- Using Generative AI for Competitive Analysis (2024)
- Why Disclosing the Use of AI is Mandatory (2024)
- 6 Ways Large Language Models Change Your Business (Short) (2023)
- Creating a Custom GPT model for restaurant marketing (2023)
- Crisis Comms and Generative AI (2023)
- Disclosure of AI and Copyright (2023)
- Fine tuning large language models (LLM) (2023)
- Gender Bias in Generative AI (2023)
- Generative AI for Marketers (2023)
- Generative AI in Sales (2023)
- Generative AI tools bakeoff (2023)
- Identifying Generative AI Use Cases using a 2×2 Matrix (2023)
- In-Ear Insights: AI Will Take Your Job (2023)
- In-Ear Insights: Add AI To Everything? CEO AI Strategy (2023)
- In-Ear Insights: Analytics Use Cases for Large Language Models (2023)
- In-Ear Insights: Can Generative AI Replace the CEO? (2023)
- In-Ear Insights: Data Science vs. Data Analytics: What’s the Difference? (2023)
- In-Ear Insights: Gender Bias and Fairness in Generative AI (2023)
- In-Ear Insights: Generative AI Business Continuity Planning (2023)
- In-Ear Insights: Generative AI and Governance Strategies for Leaders (2023)
- In-Ear Insights: Generative AI and the Future of Work (2023)
- In-Ear Insights: How To Use Generative AI For Competitive Analysis (2023)
- In-Ear Insights: Limitations of Data Science Skills (2023)
- In-Ear Insights: Practical Use Cases of ChatGPT (2023)
- In-Ear Insights: Predictive Analytics, Productivity, and Management (2023)
- In-Ear Insights: The C-Suite Guide to Generative AI (2023)
- In-Ear Insights: Tiktok and Marketing Mix Modeling (2023)
- In-Ear Insights: What Is A Large Language Model? (2023)
- In-Ear Insights: What is Marketing Mix Modeling? (2023)
- In-Ear Insights: Which AI Tool Should I Be Using? (2023)
- In-Ear Insights: Will AI Make Us Lazy and Stupid? (2023)
- Mailbag Monday ChatGPT skills to avoid job loss (2023)
- Mailbag Monday: Different people, same ChatGPT content? (2023)
- Mailbag Monday: How do you scan the data coming out of ChatGPT? (2023)
- Mailbag Monday: Security concerns for AI tools (2023)
- Mailbag Monday: What are the legal ramifications of using Generative AI? (2023)
- Predictive Analytics for your annual planning (2023)
- Q3 2023 Generative AI Bake-off (2023)
- Setting up an A/B test for ChatGPT (2023)
- Using Generative AI for Survey Analysis (2023)
- What’s next in generative AI? (2023)
- how the software development lifecycle can improve your #AI #PromptEngineering for #ChatGPT (2023)
- Applied Data Science in Marketing (2022)
- Artificial Intelligence and Corporate Culture (2022)
- Fireside Chat: Copyright, Intellectual Property, and AI Generated Content with Attorney Ruth Carter (2022)
- Advances in AI Natural Language Generation and Marketing Implications (2021)
- Basic Attribution Modeling in Google Analytics 4 (2021)
- Google Analytics 4 Attribution Modeling Walkthrough (2021)
- Implementing Responsible, Trusted AI Systems: A Fireside Chat with IBM (2021)
- Marketing Forecasting with AI (2021)
- Mitigating Biases in Market Research (2021)
- Leadership Models and Roles (2020)
Marketing Technology
- In-Ear Insights: AI Strategy for How To Keep up With AI Technology Changes (2025)
- CRM Data Fit And Your Ideal Customer Profile (2024)
- Setting up Matomo Analytics in 2024 (2024)
- In-Ear Insights: Buy Or Build Marketing Technology? (2023)
- In-Ear Insights: Changing Your MarTech Stack (2023)
- Marketing Technology QA Processes (2021)
- Basic Setup of Matomo for WordPress (2020)
- Building Your Personal MarTech Stack, Part 2 (2020)
- Personal Brand MarTech Basics, Part 1 (2020)
Email Marketing
- Automating Email Newsletters With Generative AI (2024)
- Fixing Up Email Deliverability (2024)
- How to Use AI for Email Marketing (2024)
- Email Marketing (2022)
- Why subscribe to the INBOX INSIGHTS Newsletter (2022)
- Analyzing Your Email Marketing Performance (2021)
- Newsletter marketing and advertising (2021)
- Email Marketing Deliverability (2020)
Change Management
- Analytics Amnesty and Change Management (2022)
- Change Management and Creating Lasting Change (2021)
- Change Management and Digital Transformation (2021)
- Process Change Management (2021)
Influencer Marketing
- In-Ear Insights: Trust and Influencer Marketing Strategy (2024)
- B2B Influencer Measurement (2023)
- Influencer Identification Walkthrough (2021)
- Network Graphs and Influencer Marketing (2021)
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Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.
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