Digital After Dark

Digital After Dark

Two mates talking about all things Digital.  Topics can cover Digital Analytics, Data, Transformation, Technology, Concepts and everything inbetween.  If it is related to Digital, and we find it interesting, we are going to discuss it.   

  1. DAD014: Discussing Compliance, GTM/GA4 & Automation with Dan Truman

    JAN 5

    DAD014: Discussing Compliance, GTM/GA4 & Automation with Dan Truman

    This episode explores the state of digital analytics across consent and ethics, UK/EU regulatory shifts, implementation pitfalls in GA4 and GTM (client‑side and server‑side), what “good” governance looks like, misconceptions that hold businesses back, and how automation and AI will reshape MarTech. The discussion balances NON-legal guidance (we are not lawyers - we will discuss how we would guide our clients) & ethical nuance (cookie consent, PECR/ePrivacy, “ads‑or‑data” paywalls, consent mode ambiguity) with hands‑on implementation guidance (trigger ordering, config tags, enhanced measurement pitfalls, server‑side GTM on first‑party endpoints). It closes with pragmatic views on analytics as a revenue function and near‑term opportunities to productise repeatable work with automation and AI agents.Rising public awareness of data collection and the messy reality of consent banners, paywalls, and browser‑level signals—and how this varies by market.Regulatory ambiguity (UK guidance, PECR/ePrivacy/DUAA interplay, “statistical analysis” carve‑outs) and why organisations must define a clear legal/ethical risk posture—not just a technical stance.Consent Mode, Google Signals, and the “German GTM ruling”: what actually triggered panic, why context matters, and how intent and downstream controls are key.GA4/GTM mistakes: firing order and race conditions, multiple config tags, over‑reliance on Enhanced Measurement, noisy form submits, undocumented “cute” renames, legacy tags, and excessive custom JS.Server‑side GTM: value, common missteps (not truly first‑party endpoints, A‑record/IP mismatches), and SaaS vs self‑host trade‑offs.Analytics isn’t “plug‑and‑play”; “capture everything” promises just shift effort from engineering to data teams. Analytics is a revenue function that powers activation and models.AI/automation: use agents and scripts to productise repeatable tasks, orchestrate tools, and summarise outputs rather than “let AI do it all.”

    1h 12m
  2. DAD013: Our Presentations at MeasureCamp London: Part 2

    12/30/2025

    DAD013: Our Presentations at MeasureCamp London: Part 2

    In this episode of Digital After Dark, Matt and Andrew dive deep into data layer quality, JSON schema validation, and automated monitoring at scale. Using real-world examples from MeasureCamp and client implementations, they explore how teams can move from messy, inconsistent analytics data to a reliable, validated, and scalable data ecosystem. Andrew focuses on how JSON schemas bring structure and confidence to data layers, empowering developers, QA, and analysts to catch issues early. Matt then builds on that foundation by showing how to operationalize schema validation at scale using tools like ObservePoint, automation, and APIs—ensuring data quality doesn’t break when changes ripple across large sites or multiple domains. The conversation blends technical depth with practical workflows, developer empathy, and a healthy dose of humor (including an unforgettable “number two before number one” moment). Key TakeawaysYour data layer is the schema — the events are temporary, but the schema defines long-term data quality.Validate early, not after launch — catching issues in dev saves exponential time later.JSON Schema turns analytics specs into enforceable contracts, not just documentation.Data quality deserves the same rigor as UX, even if the consequences appear later.Manual testing doesn’t scale — automation and monitoring are essential for modern analytics stacks.Schema validation builds confidence across teams, from developers to analysts to stakeholders.Start small (MVP) — even basic type validation delivers immediate value.At scale, governance beats heroics — automation, APIs, and shared standards win every time.

    1h 20m
  3. DAD-013: Measurecamp 2025 Review Part 1

    11/29/2025

    DAD-013: Measurecamp 2025 Review Part 1

    In this episode of Digital After Dark, Andrew and Matt dive into their experiences at MeasureCamp London 2025, an unconference powered entirely by the analytics community. They reflect on the energy that comes from 450+ analysts giving up a Saturday to learn, share, and collaborate as well as remanence on the evolution of MeasureCamp—from its early days of beanbags and pizza to today’s polished format with sponsors, merchandise and expertly managed logistics. They walk through memorable moments from the day: the mad “Black Friday dash” to claim session slots, the humour and chaos of handwritten talk cards, and the joy of reconnecting with industry friends. As both presenters and attendees, Matt and Andrew experienced the day from multiple angles, comparing notes on crowd sizes, room selection strategy, session clashes, and the sense of community that continues to define MeasureCamp. The episode then moves into a rapid-fire discussion of the sessions they each attended, ranging from Simo Ahava’s exploration of server-side tagging philosophy, to clever GA4 anomaly detection approaches, to compliance innovation at Condé Nast, to TV analytics “fiendish questions” from ITV. The hosts also tease upcoming podcast guests they met at the event and share key personal takeaways—new tools, new ideas, and renewed appreciation for the digital analytics community.  The second part is still being edited, where Matt and I present to each other the sessions we presented at MeasureCamp.  Listen through the closing to listen to why there was a break in the middle. TOPICS COVERED:     What MeasureCamp is, why it matters, and how the London 2025 edition was organisedThe “session board rush” and discussion of fairness, first-timers, and room allocationOverall vibe of the day: community, conversations, introverts surviving social overloadSession breakdowns (list below)Themes: schema validation, data quality, consent & compliance, server-side tooling SESSIONS ATTENDEDUnsolved Problems with Server-Side Tagging – Simo AhavaGA4 Anomaly Detection and Data Quality Checks at Scale – Marco TognonEnhancing Condé Nast’s Compliance Methodology with SnowplowDiscussion on AEP, CJA and CJO with Max LagaceWhen Data Talks but Nobody Listens: How to Present with Confidence – Parveen DownarThree Fiendish Questions from Streaming & TV Analytics – Tom Milne (ITV)Open-Source GTM Alternative – Alexander Kurzel. (elbwalker.com)Server-Side Circus: End-to-End Server-Side Setup in 15 Minutes – Annie Salo CEO of tracklutionGA4 Custom Events and Event Schema Documentation - Hawa TeladiaiFrames Are a Pain (But Don’t Have to Be) –  Kaail Bigos

    1h 10m
  4. DAD12 - Cookieless, News, Rants & Real Talk Over Digital News

    09/11/2025

    DAD12 - Cookieless, News, Rants & Real Talk Over Digital News

    Implementation Strategies for Data Collection: Andrew and Matt discussed the importance of having business requirements for data collection. They debated whether to capture everything or be selective, with Andrew emphasizing the need to justify the cost and impact on the bottom line. Matt shared his evolving perspective, initially advocating for minimal data collection but now considering new tools that automate data collection. 4:34Challenges with Automated Data Collection Tools: Andrew and Matt explored the pros and cons of automated data collection tools that scrape data from the DOM. They discussed the potential benefits of reducing development costs and improving data quality but raised concerns about compliance, security, and the accuracy of these tools. Andrew shared a specific example of a client who faced issues with a marketing pixel that collected more data than disclosed. 20:40Impact of iOS 26 on Data Collection: Andrew highlighted the upcoming release of iOS 26 and its impact on data collection, specifically the removal of GCLID in Safari private browsing. This change will affect how Google Ads and other ad platforms track user interactions. Andrew expressed frustration with Apple's increasing privacy measures, feeling that they are overly protective. 47:02EU Data Privacy and Security Laws: Andrew summarized four new EU laws: the Data Act, AI Act, Cyber Resilience Act, and CSRD. These laws mandate data portability, risk classification for AI systems, strict security obligations, and expanded ESG reporting. Andrew emphasized the broad impact these laws will have on various industries, including IoT, cloud services, healthcare, and telecommunications. 56:47Hanover Ruling on GTM Compliance: Matt explained the Hanover ruling, which requires prior consent before loading Google Tag Manager (GTM). The ruling was based on a specific case where a company was setting cookies without consent. Matt expressed concerns about the broader implications of this ruling, questioning how it might affect other tag management solutions and third-party services that rely on retrieving data from external servers. 1:06:38Metric London Event: Andrew and Matt discussed their plans for the upcoming Metric London event. Andrew will present on data layer schemas, while Matt is considering topics related to automation and ObservePoint. Both expressed excitement about the event and the opportunity to share their knowledge and insights. 1:33:29

    1h 37m

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Two mates talking about all things Digital.  Topics can cover Digital Analytics, Data, Transformation, Technology, Concepts and everything inbetween.  If it is related to Digital, and we find it interesting, we are going to discuss it.