Podcast Summary: "Building Marketing Campaigns from Customer Relationship Data"

Podcast: Voices of Search
Host: Jordan Cooney
Guest: Eddie Patch, VP of Revenue at Optimove
Date: September 1, 2025

Overview

This episode explores how businesses can turn their underutilized customer relationship data into high-performing, revenue-driving marketing campaigns. Host Jordan Cooney and guest Eddie Patch discuss the escalating significance of first-party and zero-party data, AI-powered personalization, and the challenges of integrating customer data into actual marketing operations. The conversation is loaded with actionable strategies and real-world examples, particularly for organizations keen to future-proof their SEO and content marketing through deeper, data-driven customer engagement.

Key Discussion Points & Insights

1. The Evolving Value of Customer Data

[00:43–05:15]

• Data Goes Unused: Most companies collect customer relationship data, but much of it sits unused, leading to a lack of personalization and stagnant conversion rates.
• Shift to First-Party Data: The marketing landscape is moving away from commoditized third-party data toward the higher accuracy and value of first-party and zero-party data.
• Quote:

  “According to a 2024 Acquia CX Trends report, 93% of marketers believe collecting first-party data is more critical than ever for an organization.”
  —Jordan Cooney [00:48]

2. Eddie Patch’s Data-Driven Career Journey

[02:03–04:07]

• From Groupon to Optimove: Eddie has worked across several software companies with data at their core, transitioning from search and content analytics to first-party customer data solutions at Optimove.
• AI in Content Marketing: Early adopter of AI-driven content experiences, now expanding into comprehensive customer-led marketing.

3. Why First-Party and Zero-Party Data Matter

[05:15–08:56]

• Commoditization of Third-Party Data: First-party data now holds the greatest value due to its exclusivity and precision.
• Behavioral and Lifecycle Depth: First-party data offers unique insights into individual behaviors and lifecycle stages, critical for nuanced marketing.
• Quote:

  “With first-party data you could have a higher reliance on [accuracy]… you’re not getting the behavioral signals and the preferences of an individual from third-party data.”
  —Eddie Patch [05:32]

4. The Role of AI in Leveraging Customer Data

[08:10–10:02]

• Personalization at Scale: AI enables analysis and action at the individual and cohort levels—across email, website, and omnichannel experiences.
• Sophisticated Personalization: Leading brands like Sephora and Fanduel use AI to track and personalize customer journeys beyond just single interactions.
• Quote:

  “Now we’re truly at this real single marketing view… it’s legit, it’s real interesting.”
  —Eddie Patch [08:47]

5. How Zero-Party Data Transforms Personalization

[10:02–13:19]

• Zero-Party Data Defined: Data customers intentionally share, such as preferences via interactive experiences (e.g., swiping games to reveal vacation biases).
• Cross-Channel Consistency: Using this data ensures personalized experiences across mobile, desktop, and in-person touchpoints.
• Quote:

  “Not only does [zero-party data] access more personalization, but it gives you… cross-channel consistency. So, the experience… is going to be the same now because we tailor it to you.”
  —Eddie Patch [11:12]

6. Connecting Zero-Party Data to LLMs and Search

[13:19–15:16]

• LLMs as Zero-Party Data Engines: Conversational search interfaces (like ChatGPT or Perplexity) collect nuanced, session-based zero-party data.
• Gap in Marketer Mindset: Most marketers haven't yet integrated zero-party data into their SEO and content campaigns.
• Quote:

  “We don’t actually think about, at least in my opinion, search marketers aren’t actually thinking about this as zero-party data.”
  —Jordan Cooney [15:08]

7. Operationalizing Data: Real-World Implementations

[15:16–19:25]

• From Data to Action: Zero and first-party data are stitched together (often in data warehouses) for hyper-personalized multichannel campaigns.
• Data-Driven Triggers: Examples include credit card companies preemptively enabling travel based on purchase patterns.
• Challenges Remain: True end-to-end stitching across all customer channels and teams remains complex.

8. Organizational and Technical Barriers

[19:25–23:11]

• Siloed Teams and System Fragmentation: Multiple customer touchpoints (loyalty, POS, web sign-ups) create fragmented profiles and limit unified marketing.
• Center of Excellence: Top-performing companies elevate cross-functional data integration to a C-suite initiative, sometimes establishing special teams with unique tech stacks.
• Quote:

  “The ones that do it well have acknowledged it at the C-suite level…they create almost like a center of excellence… they sit on top of everything.”
  —Eddie Patch [22:30]

9. AI as an Orchestration and Measurement Tool

[23:11–29:39]

• AI in Campaign Prioritization: AI can decide which communications customers receive and their order, scaling personalized engagement.
• Deterministic vs. Probabilistic Matching: Marketers use both explicit (deterministic) and inferred (probabilistic) signals to try to segment users more accurately (e.g., distinguishing personal from business travel).
• Revenue Attribution: Modern platforms are closing the loop — tying engagement directly to revenue, not just vanity metrics like open rates.
• Quote:

  “Now I could say, we did a test and control and we noticed that the 80% that you sent it to… had a lift in incremental revenue.”
  —Eddie Patch [29:13]

10. Actionable Advice for Marketers

[30:30–32:21]

• Collect More Zero-Party Data: Use gamification, kiosks, and interactive experiences to enrich profiles.
• Integrate Data Across Channels: Sync with CRM and use segments for personalized SEO-rich content and website experiences.
• Embrace AI Beyond Content Creation: Leverage AI for campaign segmentation, prioritization, and optimization, moving beyond basic content automation.

Notable Quotes & Memorable Moments

• “Most businesses collect extensive customer data. Few use it in effective marketing. Even fewer connect it to revenue outcomes.” —Jordan Cooney [00:49]

• “First-party data is only reserved for the ones that are doing well in acquiring and actually building their first-party dataset.” —Eddie Patch [05:29]

• “With the access to introducing that data, now the entire journey is being personalized.” —Eddie Patch [10:44]

• On organizational barriers:

  “Each of those [IDs] represents a different team… Every channel is being separated. When you get up into the Fortune 500, the ones that do it well have acknowledged it at the C-suite level.”
  —Eddie Patch [21:43]

• On AI practicality:

  “There’s a lot of low hanging fruit… After that, they begin to trust AI to tell them what priority and exclusion should be happening…”
  —Eddie Patch [24:27]

• On moving past vanity metrics:

  “We could start to say that campaign you ran translated in X amount of dollars… I think we’re getting closer to a better ROI story rather than just like a fluffy metric.”
  —Eddie Patch [29:03]

Practical Steps for Marketers

[31:06–32:21]

• Use gamification and in-store tech to collect zero-party data.
• Sync zero/first-party data with CRM for full website and content personalization.
• Rely on AI for optimization and operational improvements, not just content generation.

Key Timestamps

• [00:43] — Framing the first-party data challenge
• [05:15] — Value hierarchy: third, second, first, zero-party data
• [08:10] — AI-driven personalization and single marketing view
• [10:33] — Zero-party data and interactive personalization
• [13:19] — LLMs and session-based zero-party data in discovery
• [19:25] — Data stitching across organizational silos
• [23:11] — How AI can prioritize and scale customer communications
• [29:39] — Engagement and direct revenue attribution
• [31:06] — Action plan: zero-party data, CRM integration, AI for optimization

Conclusion

This episode offers a comprehensive look at the future of marketing campaigns rooted in customer relationship data—highlighting the transition from generalized third-party data to actionable, AI-driven insights gleaned from first—and increasingly—zero-party sources. For marketers aiming to drive real results from their data, the message is clear: double down on customer data collection, break down organizational silos, and trust AI not only for content, but for orchestration and measurement across every channel.