エピソード

  • S1E21: The Ghost Funnel: What Happens to Students After They Inquire—and Why You Don’t See It
    2025/04/14

    A student fills out your inquiry form—and then? Silence. But don’t be fooled. That silence isn’t disinterest. It’s the start of a new funnel most schools never see.

    In this episode, Lila exposes the blind spots in post-inquiry behavior that traditional CRMs fail to capture—and how you can surface hidden intent signals before the student disappears for good.

    Here’s what you’ll learn:
    — Why most students don’t vanish after inquiring—they just fall into your system’s blind spot
    — How to track post-inquiry engagement that reveals real intent
    — What to change in your outreach when students are hovering—but not converting

    If your funnel doesn’t account for what happens after the form, it’s not a real funnel—it’s a tracking illusion.

    Huntress on Analytics is created, written, and produced by Katherine R. Lieber of TitaniumBlue LLC.


    About the Author

    Katherine R. Lieber is the creator of Huntress on Analytics and the founder of TitaniumBlue LLC.

    With deep experience in admissions, analytics, and AI-driven platforms, Katherine helps institutions move beyond outdated reporting into real-time, human-centered intelligence. Her work blends data science, systems thinking, and strategy to close the gap between data collection and actual decision-making.

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    6 分
  • S1E20: The Omnichannel Attribution Myth: Why Tracking Prospects is Harder Than It Sounds
    2025/04/02

    “Omnichannel” sounds impressive—until you try to actually track a student across five platforms, two form fills, and one broken attribution model. In this episode, we unpack the myth of seamless tracking and explains why most admissions teams are stuck with fragmented data that doesn’t tell the real story.

    Here’s what you’ll learn:

    • Why most omnichannel reporting breaks down before it even begins
    • How first-party data gives you better visibility than any marketing dashboard
    • What actionable steps to take when your platforms don’t sync


    If your funnel feels more like a black box than a data pipeline, this one’s for you.

    🎧 Listen now to learn how to ditch the myth and build a smarter admissions data strategy.

    Huntress on Analytics is created, written, and produced by Katherine R. Lieber of TitaniumBlue LLC.


    About the Author

    Katherine R. Lieber is the creator of Huntress on Analytics and the founder of TitaniumBlue LLC.

    With deep experience in admissions, analytics, and AI-driven platforms, Katherine helps institutions move beyond outdated reporting into real-time, human-centered intelligence. Her work blends data science, systems thinking, and strategy to close the gap between data collection and actual decision-making.

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    8 分
  • S1E19: The Hidden Cost of Bad Analytics: The Data You’re Collecting That’s Wasting Your Time
    2025/03/24

    Admissions teams track everything—CRMs, marketing reports, financial aid data, application trends. But here’s the problem: most of it isn’t driving decisions.

    Schools are flooded with data, but how much of it actually shapes strategy? How much of it is just taking up space in dashboards and reports?

    In this episode, we break down:

    • How to instantly tell if a data point is useful or just noise

    • Why some of the most commonly tracked admissions metrics are a waste of time
    • Where your most valuable underutilized data is hiding—and how to start using it


    If your reports aren’t changing how you recruit and enroll students, you’re not doing analytics—you’re just collecting numbers.

    🎧 Listen now to start tracking what actually matters.


    About the Author ✍️

    Katherine R. Lieber is a strategist and systems thinker who helps professionals uncover what their data is really saying—and what it’s quietly hiding. She teaches people to move like a huntress in the world of analytics: sharp-eyed, clear-minded, and always one insight ahead.

    With expertise in enrollment technology, business systems, and data storytelling, she helps high performers break through noise, extract meaning, and use analytics as a strategic advantage.

    This podcast is voice-hosted by AI, with all content written and produced by Katherine R. Lieber of TitaniumBlue LLC.

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    7 分
  • S1E18: The Hidden Cost of Bad Analytics: The Data You’re Collecting That’s Wasting Your Time
    2025/03/15

    Admissions teams track everything—CRMs, marketing reports, financial aid data, application trends. But here’s the problem: most of it isn’t driving decisions. Schools are flooded with data, but how much of it actually shapes strategy? How much of it is just taking up space in dashboards and reports?

    In this episode, Lila breaks down:
— How to instantly tell if a data point is useful or just noise
— Why some of the most commonly tracked admissions metrics are a waste of time
— Where your most valuable underutilized data is hiding—and how to start using it

    If your reports aren’t changing how you recruit and enroll students, you’re not doing analytics—you’re just collecting numbers.

    🎧 Listen now to start tracking what actually matters.

    🔥 Huntress on Analytics is created, written, and produced by Katherine R. Lieber, founder of Huntress Analytics and TitaniumBlue Insights.

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    8 分
  • S1E17: The Flawed Predictive Model: Why Your Enrollment Forecast is Probably Wrong
    2025/03/07

    Every admissions office wants to predict the future—how many students will apply, which marketing channels will convert, and what final enrollment numbers will look like. But most predictive models in admissions are deeply flawed—not because of bad math, but because they rely on outdated assumptions, static data, and a false sense of certainty.

    In this episode, we break down:
— Why traditional enrollment forecasts fail to predict real student behavior
— How rigid forecasting locks schools into bad assumptions instead of adapting
— What it takes to build an adaptive model that actually improves over time

    If your enrollment predictions are still based on last year’s trends, you’re already behind the curve. The future of admissions forecasting isn’t about being right—it’s about building models that learn, adjust, and guide real-time strategy.

    🎧 Listen now to learn why predictive modeling in admissions needs a major upgrade.

    🔥 Huntress on Analytics is created, written, and produced by Katherine R. Lieber, founder of Huntress Analytics and TitaniumBlue Insights.

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    7 分
  • S1E16: How to Design Admissions Analytics That Actually Help Teams Think
    2025/02/26

    Admissions teams rely on data every day—but is that data actually designed to help them think smarter? Too often, analytics is built for systems, not for the people using it, leaving data analysts drowning in maintenance work, admissions teams struggling to find real-time insights, and leadership sifting through reports that don’t answer their biggest questions.

    In this episode, Lila, your host, breaks down:
    How the admissions data analyst keeps systems running and reporting clean
    What admissions teams need for real-time, intuitive analytics that guide action
    How the C-suite should see big-picture success metrics—without the noise

    The best admissions analytics don’t just track what’s happening. They help teams make better decisions.

    🎧 Listen now to learn how to build enrollment analytics that actually work for the people who use them.

    🔥 Huntress on Analytics is created, written, and produced by Katherine R. Lieber, founder of Huntress Analytics and TitaniumBlue Insights.

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    8 分
  • S1E15: Seeing the Story Behind the Data: How Analytics Abstractions Help Us Think Smarter About Admissions
    2025/02/24

    Admissions teams have more data than ever—but does that data actually help them make better decisions? Too often, analytics is designed for systems, not for people, leaving teams overwhelmed by reports that don’t translate into real-world action.

    In this episode, we break down:

    • Why traditional admissions dashboards fail the people who need them most

    • How data overload and bad abstractions create confusion instead of clarity
    • How to design admissions analytics that drive real enrollment decisions


    The future of admissions analytics isn’t about more data—it’s about designing data that teams can use, question, and act on in real time.

    🎧 Listen now to learn how to transform admissions analytics from overwhelming to actionable.

    🔥 Huntress on Analytics is created, written, and produced by Katherine R. Lieber of TitaniumBlue LLC.

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    7 分
  • The Secret Life of the Zip Code, Part 3: Personalized Recruitment with Hyper-Localized Data
    2025/02/17

    🎯 The Magic of ZIP Codes: Personalized Recruitment with Hyper-Localized Data

    Admissions marketing is changing fast, and the old one-size-fits-all approach? It’s just not cutting it anymore.

    The secret to smarter recruitment isn’t bigger budgets or more emails—it’s precision. And ZIP code analytics? They’re the key to unlocking hyper-localized recruitment strategies that actually work.

    In this episode, we'll break down:
    📍 How ZIP code data lets you personalize outreach in real time
    📍 How to adjust recruitment messaging based on regional student behavior
    📍 How hyper-local insights help predict enrollment trends before they happen

    If you’re ready to move beyond generic marketing and start recruiting smarter, not harder, this episode is for you.

    🎧 Listen now to learn how to use ZIP code intelligence to transform your admissions strategy!

    🔥 Huntress on Analytics is created, written, and produced by Katherine R. Lieber of TitaniumBlue LLC.

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    8 分