Podcast Summary: The Future of Media Buying — John Moran on cAPI Imports + Edge Tagging (Part 1)

Podcast: Perpetual Traffic
Hosts: Ralph Burns (Tier 11), John Moran (Guest, Data & Attribution Expert)
Date: September 30, 2025
Length Covered: [01:02]–[32:05]
Episode Focus: Exploring cutting-edge strategies for solving the attribution gap in digital advertising by leveraging cAPI imports, edge tagging, and creative diversification in the face of evolving tracking limitations on Meta and Google.

Episode Overview

In this episode, Ralph Burns sits down with John Moran live at Growth Hacking Live in San Diego to dive deep into advanced strategies for resolving the growing disconnect between advertising platforms and true business results. The discussion focuses on the shift from platform-based metrics to business-aligned goals through new technologies: specifically, first-click edge tagging and cAPI (Conversions API) imports. The episode also examines how marketers can regain control over attribution, optimize for new customer acquisition, and properly align ad platform algorithms with real business objectives—despite privacy changes and black-box reporting.

Key Discussion Points & Insights

The Attribution Disconnect: Why Platform Metrics No Longer Tell the Whole Story

• The Problem:
  Traditional digital ad strategies once relied on fine-grained campaign targeting and manual tracking, segmenting new vs. returning customers and remarketing across channels. With the rise of auto-bidding, auto-targeting, and “blended” campaign types on Meta and Google, these distinctions have vanished—making “just counting a sale” insufficient for business growth ([05:30]).
• The Manual Approach Is Dead:
  “What Meta or Google is measuring now is completely disconnected [from business goals].” – John Moran ([01:02])
• Black Box Effect:
  Modern platforms “will pat themselves on the back” for conversions they didn’t truly generate, using opaque attribution models and wide-reaching pixels/tags ([10:28–11:28]).

Real-World Impact: The Results from Adopting These Strategies

• Stunning CPA Decreases:
  Burns shares data from a Tier 11 client—a beauty brand dropping cost per acquisition (CPA) for new customers from ~$26–$27 down to under $7 by implementing the discussed methodology ([01:10], [04:22–05:23], [28:01–28:33]).
• Alignment Is Key:
  Moran emphasizes only counting conversions that fit specific business criteria (e.g., “brown shoes in size 12 in New York”), thus realigning platform reporting with true company priorities ([05:30], [09:19–10:41]).

The Solution: First-Click Edge Tagging & cAPI Imports

• Core Approach Defined:
  • First-Click: Count only conversions originating with a verified first click from a specific platform/campaign/ad ([15:49], [17:36]).
  • Edge Tagging: Track user identity and source before a visitor even reaches the site, circumventing cookie consent and ad-blockers, for maximum data fidelity ([15:49–17:36]).
  • cAPI Imports: Directly import verified conversion events back to Meta/Google, but only those that meet business-defined criteria (e.g., real new customers, specific products), rather than simply tallying all purchases ([17:36], [19:09]).
• Analogy:
  “We tag them in the parking lot before they get into the store.” – John Moran ([17:36])
• Flexibility:
  Marketers can define conversions as narrowly as they wish—by SKU, customer type, or any other business indicator—granting precision absent from standard platform reports ([14:20–19:09]).

Platform Limitations and the Challenge of Model Data

• Platforms Attribute Everything:
  Both Meta and Google can claim credit for sales and leads from any channel, training algorithms on outcomes they did not influence ([10:28–13:10]).
• Model Data Explained:
  While Meta and Google extrapolate results using modelled (not measurable) data, this creates a “disconnect” for media buyers who see different realities in ad dashboards versus actual bank accounts ([11:28–13:10], [31:14–32:05]).
• False Attribution:
  “The conversions are training an algorithm to repeat an action it was never responsible for in the first place.” – John Moran ([11:28])

Content Diversification & the Future of Creative Optimization

• Shift from Targeting to Creative:
  Creative assets—not targeting hacks—now drive differentiation and campaign results as platform algorithms take over, making unified concepts and nomenclature critical ([20:36–23:56]).
• Attribution on Clicks Despite View-Based Platforms:
  With over half of Meta’s engagement now happening on Reels (which usually don’t drive clicks), Moran explains that directional attribution must rely on click data for apples-to-apples measurement—even if it means evaluating concepts on a small % of all impressions ([19:56–24:36]).
• Directional Testing:
  “As long as we’re congruent in our messaging across all platforms, now we’re testing real marketing again rather than letting the data-driven attribution dictate the success of our company.” – John Moran ([23:56])

Training the Algorithm: Why Cleaner Data Means Better Optimization

• Retraining for Real Growth:
  By importing only the “correct” conversions (those aligned with business goals), you retrain the Meta/Google algorithm to scale only actions that matter ([25:27], [26:39]).
• Reassurance:
  “We just know that it works…and in the source of truth (Shopify, CRM)…we see sales of new customers. It’s the correlation.” – Ralph Burns ([19:09])

Notable Quotes & Memorable Moments

• Defining the Problem:

  “Just counting a sale is not enough anymore. Not enough to scale.”
  — John Moran ([01:22], [05:30])

• On Platform Attribution:

  "Meta and Google will be able to identify and also attribute anything that they would like to themselves, even without having a click take place.” — John Moran ([11:28])

• On Algorithm Training:

  “The conversions are training an algorithm to repeat an action it was never responsible for in the first place.” — John Moran ([11:28])

• First-Click Edge Tag Analogy:

  “We tag them in the parking lot before they get into the store.” — John Moran ([17:36])

• Result Summary:

  “…when did you guys start doing capi imports? …26 and then it was like 27, then all of a sudden it was 24 and then it was 20 and then…down to $6.73 as of last week.” — Ralph Burns ([28:01–28:33])

• On Model Data:

  "If you're going to import it to me, I'll take credit for it. So it can count everything, even if it didn't come from that channel." — John Moran ([29:08–31:14])

• Strategic Payoff:

  “As long as the metric I care about is the only thing [Meta/Google] can count…that’s the difference.” — John Moran ([29:08])

Timestamps for Important Segments

• [01:02] – State of attribution: disconnect between Meta/Google metrics and business results.
• [04:22] – Real case: cutting CPA from $27 to $7.
• [05:30] – Why the old ways no longer work; campaign structure changes.
• [09:19] – The problem with using platform exclusions and not going granular.
• [10:28] – Black-box attribution and loss of business-driven measurement.
• [11:28] – Platforms taking undue credit and the need for new tracking guardrails.
• [13:10] – Technology overview: edge tagging & cAPI imports.
• [15:49] – Technical explanation for marketers: tagging on the “edge,” avoiding cookie consent issues.
• [17:36] – “Tagging in the parking lot” analogy.
• [19:09] – Why correlations with Shopify and CRM data prove the method is working.
• [19:56] – The challenge of attribution when clicks are decreasing (esp. Reels).
• [20:36] – How creative strategy and concepts become the new “targeting.”
• [23:56] – Clicks as a directional metric across all platforms for fair testing.
• [25:27] – How this approach retrains ad algorithms for true growth.
• [28:01] – Case study: timeline of CPA reduction after cAPI imports.
• [29:08] – Why it takes time for new data to optimize platform delivery.
• [31:14] – False attributions and how model data creates misleading results.
• [32:04] – (Episode ends; teaser for Part 2)

Flow and Tone

Ralph and John maintain a practical, candid, and solution-oriented tone throughout, regularly referencing in-the-trenches experiences, evolving challenges in digital ad attribution, and actionable solutions for marketers and agencies. Their nerdy enthusiasm for data is matched with real-world empathy for marketers struggling with misleading platform reporting and the pressing need for accurate, scalable attribution.

In Summary

This episode delivers a masterclass on why the old ways of media buying have become obsolete, how first-click edge tag technology and cAPI imports can finally bridge the attribution gap, and why aligning ad platforms’ optimization signals with true business outcomes (like new customer acquisition) is the new gold standard for advanced paid marketers. The strategies shared offer a clear roadmap—complete with analogies and data-backed case studies—demonstrating how to reclaim control over paid media spend, optimize ad platform algorithms for what truly grows a business, and pave the way for reliable media scaling in the post-cookie era.

For a deeper dive, catch Part 2 of the conversation and visit the resources over at perpetualtraffic.com.