{"id":10560,"date":"2025-11-12T17:48:17","date_gmt":"2025-11-12T23:48:17","guid":{"rendered":"https:\/\/attentionmedia.io\/?p=10560"},"modified":"2025-11-12T17:48:17","modified_gmt":"2025-11-12T23:48:17","slug":"how-to-rebuild-a-playbook-that-helps-people-buy","status":"publish","type":"post","link":"https:\/\/attentionmedia.io\/?p=10560","title":{"rendered":"How to (re)build a playbook that helps people buy"},"content":{"rendered":"
\"Philip<\/div>\n
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What if everything you thought you knew about being \u201cdata-driven\u201d was wrong?<\/p>\n

In this episode of Playbook Broken, Philip Armstrong, SVP and go-to-market head of insights and analytics at Truth in Data (and formerly of Nike) discusses about why most dashboards fail, how to overcome data paralysis and why AI might be breaking more playbooks than it\u2019s fixing.<\/p>\n

Philip unpacks how fear of better options (FOBO) shapes customer behavior, why no one truly \u201cowns\u201d the customer journey and how generative AI is changing the meaning of intelligence inside organizations. Together, we explore what it takes to rebuild a playbook that actually helps people buy.<\/p>\n

This conversation dismantles the illusion of perfect data and exposes why \u201cbeing data-driven\u201d so often means pretending to be. Philip\u2019s pragmatic approach \u2014 treating data as an informed opinion rather than a command \u2014 offers a smarter, more human path forward for marketing, analytics, and AI adoption.<\/p>\n

Episode guide<\/h3>\n

00:00: <\/strong>Introduction: Meet Philip Armstrong \u2014 ex-Nike data leader redefining customer intelligence at Truth in Data<\/a>.
02:00:<\/strong> Fear of Better Options (FOBO) \u2014 How decision paralysis sabotages conversions and why incentives must target emotional reassurance<\/a>.
05:00: <\/strong>What\u2019s Broken \u2014 Why throwing money at tech stacks doesn\u2019t create adoption, and why dashboards rarely inspire action<\/a>.
08:00: <\/strong>Ownership Crisis \u2014 Who really owns the customer journey (spoiler: no one), and how silos kill accountability<\/a>.
12:00: <\/strong>AI\u2019s Double-Edged Sword \u2013 Machine learning\u2019s untapped potential vs. generative AI\u2019s hallucinations, blind spots and the danger of \u201caverage\u201d insights<\/a>.
18:00: <\/strong>Personalization Limits \u2014 Why 1-to-1 marketing still fails, even for Netflix and Amazon<\/a>.
24:00: <\/strong>Metrics That Lie \u2014 Open rates, attribution models and other vanity KPIs that marketers cling to<\/a>.
27:30:<\/strong> New Rules \u2014 Why smaller qualitative insights often beat massive data sets and how to find meaning on the edges<\/a>.
31:00: <\/strong>When Data Meets Creativity \u2014 Inside Nike: how Philip learned to frame data as a \u201cseat at the table,\u201d not the only truth<\/a>.
36:00:<\/strong> Takeaways \u2014 Redefining data-driven decision-making for the AI era and connecting with Philip online<\/a>.<\/p>\n

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