Category: analytics

  • So What? What’s New with the LinkedIn Algorithm?

    Summary In today's episode, I break down what's new in the fifth edition of the LinkedIn Algorithm Guide from Trust Insights and explain how LinkedIn's ranking system really works. Here's what this means for you. You gain a clear picture of how two separate language models decide which posts reach you and what specific levers…

    Continue reading →

  • You Ask, I Answer: Chunking Enterprise Data for AI Analysis?

    Summary In today's episode, I break down how to analyze massive multi-year business reports with AI without falling victim to context window limitations or hallucinations. Here's what this means for you. You'll discover a practical architecture combining vectorized databases, knowledge graphs, and deterministic Python code that delivers reliable enterprise-scale analysis. You'll also learn these concepts:…

    Continue reading →

  • You Ask, I Answer: Can AI Solve Marketing Attribution?

    Summary In today's episode, I break down why AI cannot solve marketing attribution and what marketers should do instead. Here's what this means for you. You gain a clear path to genuine customer insight that no analytics dashboard can deliver. You'll also learn these concepts: how cookie deprecation and bot traffic have gutted the data…

    Continue reading →

  • You Ask, I Answer: Does A/B Testing Survive AI Personalization?

    Summary In today's episode, I tackle whether traditional A/B testing becomes obsolete in an era of AI-generated hyper-personalized landing pages. Here's what this means for you. You'll discover that effective evaluation still requires guardrails, consistency in offers, and robust tracking of what visitors actually see. You'll also learn these concepts: why business constraints prevent truly…

    Continue reading →

  • So What? Nontraditional Podcast Analytics

    Summary In today's episode, I break down why traditional podcast analytics miss the mark and how to measure the entire content ecosystem around your show. Here's what this means for you. You gain a framework for tracking performance across every platform your podcast touches so you can stop making decisions based on incomplete download data…

    Continue reading →

  • Transform Your Marketing Data with Generative AI at MAICON26: Workshops, Podcasts & Networking

    In 48 days – 7 weeks – I and a bunch of other folks are making our annual pilgrimage to Cleveland for #MAICON26, the SmarterX Marketing AI Conference. What’s on tap this year? Katie Robbert and I will be recording an episode of our In-Ear Insights podcast live from the show floor on Wednesday, 14…

    Continue reading →

  • Why Locally Run Open Weights AI Models Are More Trustworthy Than ChatGPT and Claude

    “Do we really trust Chinese models that much?”” Lisa asked that question in the Trust Insights Analytics for Marketers Slack group and the short answer is, “we really trust models under our control that much”, which means open weights models, models we download and run on our own hardware or in trusted inference providers. Here’s…

    Continue reading →

  • You Ask, I Answer: Conducting Objective Search Visibility Audits?

    Summary In today's episode, I walk through how to run an objective AI search visibility audit without letting personal search histories and custom profiles skew the results. Here's what this means for you. You get a practical, low-cost playbook for figuring out what AI models actually know about your brand and what they see when…

    Continue reading →

  • You Ask, I Answer: Keeping Context Across AI Tools With Markdown and YAML?

    Summary In today's episode, I break down how to preserve context and data lineage when moving files between AI tools like SQL generators, CSV cleaners, and analysis dashboards. Here's what this means for you. You'll get a practical framework for making sure the "why" behind your data never disappears, no matter which tool you're using.…

    Continue reading →

  • You Ask, I Answer: Why AI Visibility Reports Are Snake Oil?

    Summary In today's episode, I break down why most AI brand visibility tools are unreliable and what you should actually measure instead. Here's what this means for you. You can stop paying for snake oil dashboards and instead use free, vendor-sourced data to track how AI systems actually interact with your site. You'll also learn…

    Continue reading →