Category: analytics

  • You Ask, I Answer: Proving Algorithmic Understanding?

    Summary In today's episode, I walk through how to test assumptions about social media algorithms using data science techniques and real research findings. Here's what this means for you. You gain a repeatable method for proving what actually moves the needle on your accounts instead of guessing based on conventional wisdom. You'll also learn these…

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  • So What? Have I been shadow banned?

    Summary In today's episode, I break down what shadow banning actually is, why social media algorithms may suppress your content, and how to tell whether you have genuinely been shadow banned. Here's what this means for you. You gain a clear framework for diagnosing engagement drops versus true suppression and a practical playbook for getting…

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  • #SaveWarriorNun Best Practices for Warrior Nun Twitter Fans

    Summary In today's episode, I walk through data-backed Twitter best practices for the Save Warrior Nun community and debunk common misconceptions about hashtag use, tweet frequency, and account size. Here's what this means for you. You'll gain practical strategies that boost your engagement on the campaign hashtag without needing a data science background. You'll also…

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  • So What? How community powers public relations

    Summary In today's episode, I walk through how a passionate fan community powered a billion-view public relations campaign to save the Netflix show Warrior Nun, using analytics and the 5P framework to amplify their message. Here's what this means for you. You'll see how activated communities outperform traditional PR budgets by generating tier-one media coverage…

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  • So What? Calculating Customer Lifetime Value (CLTV)

    Summary In today's episode, I break down customer lifetime value โ€” what it is, the formula behind it, where the data lives, and what to do with it once you have it. Here's what this means for you. You'll understand why this single metric reveals the true health of your business and helps you identify…

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  • A Data-Driven Analysis of the Warrior Nun Franchise and #SaveWarriorNun Campaign

    Summary In today's episode, I walk through the business case for another streaming platform to acquire the Warrior Nun franchise from Netflix, examining social media attention, media coverage, purchase intent, franchise quality, and financial implications. Here's what this means for you. A passionate fan base creates a built-in audience that slashes marketing costs and boosts…

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  • So What? How to forecast your marketing budget

    Summary In today's episode, I walk through how to forecast your marketing budget using historical analytics data and apply those forecasts to plan smarter budget allocation across channels. Here's what this means for you. You gain a practical framework for predicting weak periods in your traffic, then inverting those predictions to concentrate your spend where…

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  • So What? Trust Insights Wrapped

    Summary In today's episode, I walk through how to build a year-end wrapped-style recap dashboard in Looker Studio, layer in TalkWalker competitive benchmarking, and use GA4 attribution to evaluate 2022 content performance for the Trust Insights live show. Here's what this means for you. You gain a repeatable framework for turning end-of-year subscription-style data into…

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  • So What? Top News and Web Stories

    Summary In today's episode, I walk through how marketers can measure the explosive growth of online news content using tools like the GDELT database and SEO platforms. Here's what this means for you. You gain a practical framework for separating meaningful news from noise in an era flooded with AI-generated content. You'll also learn these…

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  • So What? Holiday Predictive Forecasts

    Summary In today's episode, I walk through how to use predictive analytics and seasonal forecasting to plan marketing campaigns across different industries using a cheese shop as a practical example. Here's what this means for you. You gain a repeatable framework for timing ad spend around demand inflection points and choosing the right data sources…

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