The best data source to understand what is popular in B2B media
- Part 1Why Marketers Should Treat AI Like a Frenemy
- Part 2 The best data source to understand what is popular in B2B media
- Part 3What is your automaton tech-stack?
- Part 4What is the coolest agent you’ve built for yourself?
- Part 5What’s the biggest lie marketers tell themselves about their own data?
Episode Chapters
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01:40: AI Creates Short-Term Work
AI requires significant upfront investment in data organization, documentation, and process development before delivering long-term automation benefits.
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04:20: Three Levels of AI Maturity
Organizations progress from using AI as a manual assistant to building automated workflows and finally achieving true autonomous agents with feedback loops.
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06:42: Writing SOPs Before Automation
Creating detailed standard operating procedures for human assistants provides the foundation for building effective AI agents and workflows.
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09:02: Building Automated Networking Agents
A detailed walkthrough of creating an AI agent that automatically identifies relevant contacts to reach out to based on calendar events and travel plans.
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12:38: Organizing Data for AI Success
Consolidating internal data sources into unified, chronologically organized systems provides the foundation for effective AI implementation.
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15:30: The External Data Blind Spot
Marketers over-rely on first-party data comfort while missing critical external market signals that provide competitive context and category performance insights.
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18:46: Data Accuracy Reality Check
Even internal analytics platforms provide estimates rather than precise measurements, making directional accuracy from external sources valuable for strategic decision-making.
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21:24: Validating AI Insights Through Questioning
Asking AI to explain its reasoning and methodology helps identify potential errors while developing critical thinking skills for better human-AI collaboration.
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23:36: Building a Healthier AI Relationship
Establishing clear data foundations, maintaining human judgment, and gradually scaling workflows creates sustainable AI partnerships that enhance rather than replace human capabilities.
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29:46: Best B2B Media Data Sources
SparkToro aggregates multiple data sources including podcast listening, content consumption, and social engagement to provide comprehensive audience intelligence for B2B marketers.
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32:30: Simple Automation Tech Stack
Non-technical marketers can build effective automation using accessible tools like Zapier, Lindy AI, and Twilio without coding knowledge.
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36:09: Advanced Video Performance Analysis
AI agents can analyze video content frame-by-frame to identify visual elements that correlate with viewer engagement and retention patterns.
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39:02: The Dashboard Deception
Internal dashboards create false confidence by showing incomplete pictures, hiding blind spots that external data sources could reveal for better strategic decisions.
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Episode Summary
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The Best Data Source to Understand What's Popular in B2B Media
# nIntroduction
# Charlie Gri ell, Co-CEO of RightMetric, reveals why marketers' obsession with first-party data creates dangerous blind spots in their strategy. With experience leading marketing at Red Bull and Aritzia, Gri ell has built a strategic research firm that helps brands like Meta and lululemon decode what audiences actually do online. His perspective challenges the conventional wisdom that internal dashboards tell the full story of marketing performance.#n#n1Why External Data Matters More Than You Think
# The wake-up call came during a seemingly successful quarter at a women's fashion brand. After presenting 20% month-over-month growth to the CEO, Gri ell was asked a simple question that changed his perspective forever: "How much did the category grow?" The CEO's point was sharp: "If the category grew 5%, I should give you a raise. But if the category grew 80%, I should fire you right now." This moment crystallized a fundamental truth - without external benchmarks, marketers are essentially marking their own homework.#n#n1The Comfort Trap of Internal Dashboards
# Marketers have been trained for the past 10-15 years to focus exclusively on their own data. While internal analytics provide valuable insights, they create what Gri ell calls a "warm hug" effect - everything looks good when it's going up and to the right. But this comfort is deceptive. Your Google Analytics might show impressive numbers, but without understanding competitive context, you're flying blind in a crowded marketplace.#n#n1Building a Complete Picture with B2B Media Intelligence
# When asked about the best data source for understanding B2B media trends, Gri ell points to SparkToro as a gateway tool. "It shows what specific audiences are reading, watching, and listening to," he explains. Unlike single-cha el analytics, SparkToro aggregates multiple data sources - podcast listening habits, content consumption patterns, social cha el engagement, and creator affinities. This multi-dimensional view reveals where your target audience actually spends their attention, not just where you hope they do.#n#n1The Deep Cuts: Advanced External Data Sources
# Beyond SparkToro, Gri ell's tech stack includes SimilarWeb for web traffic intelligence and Tubular Labs for video analytics. Tubular Labs particularly stands out with unrestricted API access to all major social platforms, providing insights into what's driving views, which creators are growing, and what content formats resonate. As video continues to dominate online engagement, understanding these patterns becomes critical for B2B marketers trying to cut through the noise.#n#n1Practical Applications for Marketing Strategy
# The real power of external data emerges when combined with AI-driven analysis. RightMetric has built agents that analyze videos frame by frame, mapping visual elements to performance metrics. This reveals specific patterns - whether quick cuts in the first three seconds improve retention, or if product close-ups drive engagement. These insights go beyond vanity metrics to uncover what actually keeps audiences watching.#n#n1 Understanding competitive benchmarks transforms how marketers approach strategy. Instead of celebrating internal growth in isolation, teams can identify whether they're gaining or losing market share. External data reveals content gaps competitors haven't addressed, emerging topics gaining traction, and audience segments being underserved. This intelligence enables marketers to "outsmart, not outspend" their competition.#n#n1Conclusion
# The biggest lie marketers tell themselves, according to Gri ell, is that their dashboards show the full picture. As he puts it: "It isn't what we don't know that gives us trouble. It's what we think we know, but just ain't so." While first-party data remains valuable, the most successful B2B marketers combine internal metrics with external intelligence to understand their true position in the market. The tools exist - from SparkToro to SimilarWeb to Tubular Labs - but success requires shifting from an internal-only mindset to embracing the full context of your competitive landscape.#n#n1
- Part 1Why Marketers Should Treat AI Like a Frenemy
- Part 2 The best data source to understand what is popular in B2B media
- Part 3What is your automaton tech-stack?
- Part 4What is the coolest agent you’ve built for yourself?
- Part 5What’s the biggest lie marketers tell themselves about their own data?
Up Next:
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Part 1Why Marketers Should Treat AI Like a Frenemy
AI reliability challenges plague over half of marketers despite vendor promises of perfect insights. Charlie Grinnell is Co-CEO of RightMetric, a strategic research firm specializing in external data intelligence for competitive advantage. The discussion covers treating AI as a "frenemy" that requires human oversight, building automation workflows through iterative prompt refinement, and combining internal analytics with external market signals for strategic context.
Play Podcast -
Part 2The best data source to understand what is popular in B2B media
Marketers struggle with AI reliability and accuracy. Charlie Grinnell is Co-CEO of RightMetric, a strategic research firm specializing in external data intelligence for competitive marketing insights. The discussion covers treating AI as a "frenemy" that requires structured data inputs, building automation workflows through iterative testing, and validating AI outputs by asking it to explain its reasoning process.
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Part 3What is your automaton tech-stack?
Marketers struggle to build effective AI automation stacks that actually drive results. Charlie Grinnell, Co-CEO of RightMetric, explains how external data transforms AI accuracy and marketing strategy. The conversation covers building custom agents for networking automation, developing video analysis tools that map viewer engagement frame-by-frame, and creating visual hooks that compete with brands like MrBeast and Red Bull.
Play Podcast -
Part 4What is the coolest agent you’ve built for yourself?
Marketers struggle with AI reliability and accuracy. Charlie Grinnell is Co-CEO of RightMetric, a strategic research firm specializing in external data intelligence for brands like Meta and Red Bull. He discusses building AI agents that automatically identify networking opportunities based on calendar events, creating video analysis tools that map viewer engagement to specific visual elements, and developing workflows that combine internal performance data with external market signals to reveal competitive blind spots marketers miss when relying solely on first-party dashboards.
Play Podcast -
Part 5What’s the biggest lie marketers tell themselves about their own data?
Marketers rely too heavily on first-party data for AI strategy. Charlie Grinnell is Co-CEO of RightMetric, a strategic research firm specializing in external data intelligence for brands like Meta and Red Bull. His team built a video analyzer that maps frame-by-frame content against performance data to identify what keeps viewers engaged. The discussion covers automated networking agents and the critical importance of visual hooks in the first seconds of video content.
Play Podcast