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  • DAD017-The Turning Points That Shaped Fifteen Years in Digital

    DAD017-The Turning Points That Shaped Fifteen Years in Digital
    2026/07/20
    In this episode of Digital After Dark, Andrew and Matt look back at the five moments that reshaped their careers and the way digital analytics teams operate today. What We Cover
    • Moving from hands‑on coding to product ownership
    How shifting from direct code deployment to structured requirements changed the role entirely.
    • Learning to speak the developer’s language
    Why picking up JavaScript wasn’t about coding. It was about empathy, communication, and better data quality.
    • The rise of the data layer
    From vendor evaluations to building Sky’s own event‑driven model, and why it became the foundation for everything that followed.
    • GDPR and the consent‑first mindset
    The moment the industry stopped collecting everything and started collecting only what it should.
    • Server‑side, cloud engineering, and the AI leap
    How cloud platforms, automation, and AI have transformed the scale and speed of what’s possible. Why This Episode Matters This is a conversation about real turning points. The moments where your job changes, your thinking changes, and the industry changes with you. If you work in analytics, engineering, CRO, or digital strategy, this episode will feel familiar — and probably a bit nostalgic.
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    1 時間 11 分
  • DAD016-The Illusion of Uplift: A Deep Dive Into Noise in Digital Analytics

    DAD016-The Illusion of Uplift: A Deep Dive Into Noise in Digital Analytics
    2026/05/13
    Theme: Understanding Noise in Digital Analytics and Experimentation

    In this episode of Digital After Dark, we dig into a topic that quietly shapes every KPI, every experiment, and every “uplift” teams think they’ve achieved is actually noise. Not tagging issues. Not tool errors. Noise: the natural wobble of stochastic processes that makes digital measurement behave nothing like the physical world. This conversation breaks down what noise actually is, why it’s so misunderstood, and how it silently distorts the numbers organisations rely on.

    What We Cover
    • Why digital measurement behaves differently from the physical world
      • Why you can measure a table three times and get the same result, but never measure a conversion rate three times and get the same number.
    • How stochastic noise affects KPIs and experiments
      • Even when the underlying conversion rate doesn’t change, the outcomes do.
    • Why identical A/B tests can produce completely different results
      • And why teams often blame traffic, intent, or seasonality when nothing actually changed.
    • Why weekly KPIs swing up and down for no real reason
      • Noise alone can create “wins” and “drops” that look meaningful but aren’t.
    • Why statistical significance isn’t the safety net people think it is
      • Many real winners never cross the threshold, and some false winners do.
    • Why segmentation increases noise instead of reducing it
      • Smaller samples mean bigger wobble.
    • How tools like Noise Explorer and Noise Check help teams see the true range of possible outcomes
      • And why visualising noise changes how you interpret data.

    What You’ll Learn Listeners will walk away with a clearer understanding of:
    • How much of their analytics volatility is actually noise
    • Why relying on a single observed result can be misleading
    • How to distinguish real change from random fluctuation
    • Why many “insights” are actually noise‑driven illusions
    • How to make more grounded decisions in experimentation and KPI tracking
    • How to avoid chasing ghosts in the data
    If you work in analytics, CRO, experimentation, or digital strategy, this episode will fundamentally shift how you interpret your numbers.
    Some websites created by Andrea to help demonstrate this better at work.

    Noise Explorer (experience how noise affects outcomes of an experiment and get a real grasp on what to expect): https://confidentstory.com/noise/
    Noise Check (check if an effect is real or due to noise. It replaces significance): https://confidentstory.com/noisecheck/
    GTMsplit (run split tests for free with GTM): https://confidentstory.com/gtmsplit/
    GTMsplit Documentation: https://confidentstory.com/docs/gtmsplit/
    Whitepaper "The First-Exposure Contamination Problem": https://confidentstory.com/docs/whitepapers/first-exposure-contamination-problem/
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    1 時間 7 分
  • DAD015 - Another Web is Possible with Jon

    DAD015 - Another Web is Possible with Jon
    2026/05/04
    In this episode of Digital After Dark, Andrew and Matt sit down with Jon Crowder — founder of Another Web Is Possible — to explore why the modern web doesn’t have to be manipulative, extractive, or built on dark patterns. Jon shares the pivotal moments that pushed him to create an ethical CRO consultancy, including turning down lucrative but misaligned clients and witnessing industry practices that prioritised short‑term wins over long‑term trust. The conversation dives into:
    • How unethical optimisation harms brands downstream
    • Why trust compounds and manipulation decays
    • The dangers of AI‑driven “abandoned strip mall” digital experiences
    • How businesses accidentally engineer hostile customer journeys
    • Why user empathy is the foundation of meaningful optimisation
    • The misconceptions brands still hold about CRO
    • The importance of building internal experimentation capability
    • Jon’s new platform Experiment OS — a structured, scientific system for research, hypotheses, testing, analysis and decisioning
    • The future of ethical optimisation and why “another web is possible”
    Referenced URLs from the transcript:
    • Another Web Is Possible — https://anotherwebispossible.co.uk (anotherwebispossible.co.uk in Bing)
    • Experiment OS — https://experimentos.io
    • Praxis CRM (free CRM for independents & small agencies) — https://praxiscrm.org
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    1 時間 53 分
  • AT015 - Rockstar Opening Act April 2026

    AT015 - Rockstar Opening Act April 2026
    2026/04/19
    In this special “Rockstar Opening Act” edition of Andrew Talks, Andrew shares the tips he submitted for the Adobe Summit 2026 edition of "RockStars". In this presentation, Andrew shares the two most overlooked pillars of digital analytics excellence: data layer accuracy and Adobe Analytics data health validation.

    Andrew breaks down why the data layer is the true source of truth, how schema validation prevents downstream chaos, and the practical steps teams can take to catch issues before they hit production.

    Andrew also reveals how he uses tools, dashboards, trend analysis, and hourly alerts to detect anomalies within minutes, not days.

    Packed with real-world examples, governance insights, and scalable QA techniques, this episode will help you ensure your data works for you!
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    25 分
  • AT014 - From Hits to Insights- Walter’s Journey to Adobe Analytics Champion

    AT014 - From Hits to Insights- Walter’s Journey to Adobe Analytics Champion
    2026/03/02
    Episode 14 of Andrew Talks brings you a conversation packed with energy, honesty, and deep industry insight. This time, Andrew sits down with Walter: Personalisation & Analytics Specialist, storyteller at heart, and officially recognised Adobe Analytics Champion for 2025–2026. Together, they explore:
    • Walter’s unconventional path into digital analytics, sparked by the early days of hits and curiosity (“I remember them presenting this data around how people were engaging with websites… I gotta get into that space.” )
    • His leap into Adobe Analytics during the Omniture era: documentation chaos, deep‑end learning, and the grind of early implementations (“The documentation was poor… we had to figure out how to use this thing.” )
    • The massive multi‑app standardisation project that shaped his Adobe Analytics Champion application (“We wanted to redo all our analytics and get our data in a standardized way… boy oh boy, it is a nightmare.” )
    • What it really means to be an Adobe Analytics Champion: the learning, the community, the influence, and the responsibility (“Being a champion is not easy. You gotta put in the hours.” )
    • The future of Adobe Analytics (yes, it’s not dead) and why upcoming changes will surprise the industry (“Just watch out for the next couple of months… very big, impressive changes.” )
    Plus, the two friends share war stories, laugh about implementation nightmares, and dive into a lightning round that reveals Walter’s favourite KPIs, his most‑hated metrics, and the biggest myth in analytics.

    Connect with Walter on LinkedIn: 👉 https://www.linkedin.com/in/walter-sibanda-a1616868/
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    1 時間 12 分
  • AT013: When the Senpai Appears! Inside JavaScript Senpai with Alban Gérôme

    AT013: When the Senpai Appears! Inside JavaScript Senpai with Alban Gérôme
    2026/02/15
    In this episode of Andrew Talks, I sit down with Alban Gérôme, a long time digital analytics practitioner, former full stack developer and the creator of JavaScript Senpai. We walk through his unusual journey from linguistics to coding, his early days automating call centre reporting, and how he found himself at the heart of digital analytics before the industry even had a name.

    We dig into the origins of JavaScript Senpai, why he started teaching during the pandemic, and how the course has evolved into a polished nearly monthly program designed to help analysts finally feel confident with JavaScript. Alban shares stories about browser quirks, DevTools tricks, SPA tracking, IndexedDB, and the challenges created by modern privacy restrictions.

    We also talk about teaching, learning, community, the future of the course, and why he keeps the price intentionally low. And, introducing for the first time on Andrew Talks, we wrap up with a lightning round covering his favourite tools, features and lessons learned along the way.

    If you’ve ever wanted to understand the technical side of analytics a little better, this is a great one to watch or Listen! Do you want to register for JavaScript Senpai; you can do that here: https://albangerome.systeme.io/subscribe
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    1 時間 12 分
  • DAD014: Discussing Compliance, GTM/GA4 & Automation with Dan Truman

    DAD014: Discussing Compliance, GTM/GA4 & Automation with Dan Truman
    2026/01/05
    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.”
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    1 時間 12 分
  • DAD013: Our Presentations at MeasureCamp London: Part 2

    DAD013: Our Presentations at MeasureCamp London: Part 2
    2025/12/30
    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 Takeaways
    • Your 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.
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    1 時間 20 分