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. Oct 18

    DAD-018: Building Analytics Teams in the AI Age

    Artificial Intelligence is transforming digital analytics, but what does that mean for the people behind the data? In this episode of Digital After Dark, Andrew and Matt explore how AI is reshaping the way analytics teams are hired, trained, and managed. As automation takes over many of the technical tasks that once defined junior analyst roles, the conversation shifts to a bigger question: What skills will matter most in the future? The discussion covers everything from AI-generated code and automated workflows to the growing importance of critical thinking, ownership, problem-solving, and business understanding. Andrew shares the five key traits he looks for when hiring analysts, while Matt discusses why today's teams are becoming increasingly "AI-augmented" and what that means for the future of analytics careers. The episode also explores:How AI is changing day-to-day analytics workWhether there is still a place for junior analystsWhy technical fundamentals still matterThe risks of losing hard-earned experience and tribal knowledgeHow training and onboarding need to evolveThe growing importance of soft skills in technical rolesAI, automation, and the future of consulting delivery modelsWhy accountability remains a uniquely human responsibilityOne of the episode's biggest takeaways: "We're not hiring robots. We're hiring cyborgs." The future analyst isn't replaced by AI. They're enhanced by it.  Whether you're building analytics teams, managing digital professionals, or trying to understand how AI will impact your own career, this episode provides a practical and honest discussion about where the industry is heading.

    DAD-018: Building Analytics Teams in the AI Age
  2. May 13

    DAD016-The Illusion of Uplift: A Deep Dive Into Noise in Digital Analytics

    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 CoverWhy digital measurement behaves differently from the physical worldWhy 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 experimentsEven when the underlying conversion rate doesn’t change, the outcomes do.Why identical A/B tests can produce completely different resultsAnd why teams often blame traffic, intent, or seasonality when nothing actually changed.Why weekly KPIs swing up and down for no real reasonNoise alone can create “wins” and “drops” that look meaningful but aren’t.Why statistical significance isn’t the safety net people think it isMany real winners never cross the threshold, and some false winners do.Why segmentation increases noise instead of reducing itSmaller samples mean bigger wobble.How tools like Noise Explorer and Noise Check help teams see the true range of possible outcomesAnd 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 noiseWhy relying on a single observed result can be misleadingHow to distinguish real change from random fluctuationWhy many “insights” are actually noise‑driven illusionsHow to make more grounded decisions in experimentation and KPI trackingHow to avoid chasing ghosts in the dataIf 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/

    DAD016-The Illusion of Uplift: A Deep Dive Into Noise in Digital Analytics
  3. Mar 2

    AT014 - From Hits to Insights- Walter’s Journey to Adobe Analytics Champion

    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/

    AT014 - From Hits to Insights- Walter’s Journey to Adobe Analytics Champion
  4. 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.”

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

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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.