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Your insights hub for data-driven marketing
Explore practical insights on marketing data governance, campaign taxonomy, measurement, and innovation from Accutics experts and industry leaders.
Power a connected media ecosystem through Accutics Two-Way SyncCampaign structures, naming, and metadata can quickly drift across systems, making execution harder to scale and performance data harder to trust. With Two-Way Sync, Accutics helps reduce operational friction and maintain more connected, consistent campaign data across platforms.The brand story is everywhere. The data behind it needs to be just as intentional.For retail, beauty, and luxury brands, storytelling no longer lives in one channel. It moves through creators, pop-ups, stores, ecommerce, social commerce, QR codes, events, and AI-supported experiences, which makes consistent tracking more important than ever.The creative future of marketing depends on the data foundations behind itAt DMWF, the most exciting conversations were about creativity, community, AI, creators, and brand. But underneath all of it was a less glamorous truth: marketing teams need stronger data foundations if they want those ideas to scale, prove impact, and create real business value.Signs your organisation isn’t ready for AIAI projects rarely fail because teams lack ambition. They fail because the data, workflows, and governance underneath are not ready to support the speed, scale, and accountability AI requires.AI agents will expose broken marketing operationsAgentic AI is rapidly entering the execution layer of marketing. But as autonomous systems begin scaling campaign execution, optimisation, and reporting across platforms, many organizations may discover that the biggest limitation is not the AI itself, but the operational fragmentation already sitting underneath their marketing ecosystems.Why agentic AI makes marketing data governance criticalAI agents are rapidly moving from experimentation into the operational layer of digital advertising. As campaign execution becomes increasingly autonomous, the quality, structure, and governance of marketing data suddenly matters far more than most organizations realize.Modern marketing is about cooking the potatoModern B2B marketing is no longer just about generating leads. It is increasingly about preparing buyers through education, familiarity, and connected customer journeys long before a sales conversation ever happens.Adobe is retiring SAINT. Here's what it means for your campaign data.If you use SAINT to manage campaign classifications in Adobe Analytics, the clock is ticking. Adobe is deprecating it in August 2026, and the migration path you choose will shape how your campaign data works for years to come.From DMWF London 2026: Marketing has never been more sophisticatedMarketing has never been more sophisticated… or more dependent on trusted data. Digital Marketing World Forum 2026 showed just how far modern marketing has evolved, as brands think more deeply about trust, perception, and the experiences that shape customer relationships over time. However, as teams push creativity, personalization, and channel strategy further, especially in the age of AI, their ability to understand customers, prove impact, and make strong decisions still depends on whether their data is connected, trusted, and usable.When data is reliable, marketing earns a seat in decisionsAt Financial Promoter Live 2026, one theme stood out clearly: financial marketing is being asked to prove its value with more precision. To do that, teams need more than strong campaigns. They need reporting they can trust.Inside the FSI marketing conversations at FP Live! London 2026Financial Promoter Live! offered a clear view of the pressures shaping financial services marketing today. From banking and payments to insurance, risk, investments, and pensions, the conversations kept coming back to the same reality: marketing teams need to build trust, prove performance, activate higher quality data, move faster, and keep every campaign compliant, traceable, and explainable.Precision at every scan: Structured links and QR codes as brand assetsIn marketing, every brand element is deliberate. Even the smallest touchpoints, like short URLs and QR codes, should be governed, branded, and measurable, rather than being treated as technical afterthoughts.Why Incentives, Not Discipline, Determine Marketing Data QualityMarketing data quality does not break because teams lack discipline. It breaks because marketing organizations reward speed and local performance while expecting consistency and trust at reporting time.Why Marketing Data Governance Suddenly Matters AgainMarketing data governance is back in focus as automation and AI expose how fragile many marketing data foundations really are. The issue is not new technology, but years of inconsistent execution, unclear ownership, and poor marketing data structure.Marketing data quality is a tradeoff problem, Not a tooling problemMost marketing teams do not fail on performance. They fail on alignment. When speed, autonomy, and local optimization collide with the need for reliable reporting, teams end up working from different versions of the truth. This article explains why data quality is not a tooling problem, but a tradeoff problem, and why marketing data governance is the foundation for trust from execution to decision-making.Advertising in AI environments demands a new kind of disciplineAs advertising moves into AI-driven, context-based environments like ChatGPT, platforms expose fewer performance signals. This shift places less emphasis on the channel itself and more on internal data discipline, distinguishing organizations that can scale and learn from those only focused on execution.Marketing data ownership: From local optimization to enterprise performanceMany marketing teams optimize effectively within individual channels, yet struggle to turn those wins into organization-wide performance. The constraint is not tooling, but ownership of how marketing data is defined, governed, and used across the business.How Accutics evolved in 2025 to enable faster, smarter, and more confident marketingThroughout 2025, we introduced a series of product enhancements to streamline existing workflows, reduce manual effort, and support faster execution at scale. These updates strengthen core capabilities across standardization, validation, and automation, helping marketing teams operate more efficiently every day.Why marketing data fails when no one owns itMarketing data rarely fails because of tools or skills. It fails because responsibility is fragmented across teams that create, interpret, and depend on data without owning it from execution to decision. This article examines why unclear ownership quietly erodes confidence in marketing performance and why reliable data can only exist when accountability is enforced where data is created.Google is right about marketing data. Confidence still breaks where execution begins.In a recent article, Google warned that poor marketing data leads to poor decisions, a point most enterprise teams recognize instantly. What often gets missed is where that failure actually starts: not in reports or dashboards, but in everyday execution long before confidence is tested.Building the bridge: How to turn shared truths into actionable marketing dataMost teams agree on the importance of marketing data alignment, yet few manage to make it work in practice. This article explores how structure turns shared truths into measurable results, from automated data governance at enterprise scale to simple, repeatable frameworks smaller teams can build themselves.When the whole marketing team sees the same truthWhen everyone in marketing sees the same truth, collaboration changes. Data stops being something teams argue about and becomes the common language that connects strategy, creativity, and performance.The different data truths - A deep dive into different data perspectives in an enterprise organization.In modern enterprise organizations, data is everywhere but alignment is rare. This article explores how different versions of truth within marketing and business data shape decision making and what it takes to bring them together into one reliable foundation.From data foundations to AI-Readiness: Lessons from Nilfisk and industry leadersAt the Accutics and IIH Nordic “Back to work but smarter” event on September 4, industry leaders gathered to explore one of the most pressing questions in marketing today: how can AI and personalization deliver real business impact without a strong data foundation?How Qualcomm scaled growth with AccuticsData governance is no longer an operational detail, it is a strategic growth driver. Qualcomm’s journey with Accutics shows how standardization, clean inputs, and trusted data can accelerate execution, enable AI, and deliver measurable business results.en expenses, risks, and long-term trade-offs of going custom when better solutions already exist.Why QR code campaigns fail without the right data foundationQR codes are now a staple in modern marketing campaigns. But without a strong data foundation, even the most creative QR code activation can fail to deliver meaningful results.How to track QR codes accurately in Google Analytics and Adobe AnalyticsQR codes have become a powerful bridge between offline engagement and online experiences. Without the right setup, their impact is often lost in “Direct” traffic, making them impossible to measure accurately.How to use dynamic QR codes for offline to online attributionThis article explores how dynamic QR codes enable marketers to connect offline touchpoints like print, packaging, and events with digital journeys. By applying structured campaign tracking to QR codes, marketers unlock full attribution, richer insights, and consistent data that supports personalization, reporting, and AI use cases.Top data governance tools for AI in 2025Choosing the right data governance platform is more important than ever as AI becomes deeply embedded into enterprise workflows. This article explores the leading tools in 2025 and what sets them apart in helping businesses scale responsibly with clean, trustworthy data.Why defensibility in AI starts with structured data and deep integrationAI is changing how digital tools are built, scaled, and judged. This FAQ unpacks the key takeaways from our latest article on why structured data and deep integration are what make marketing tools truly defensible in the AI era.Smarter Analytics needs smarter data: Why Google’s AI enhancements reinforce the need for pre-click governanceAI-powered insights in Google Analytics are only as good as the data you feed them. If your campaign tracking lacks structure upstream, even the most advanced analytics tools will deliver flawed insights, just faster.What’s the best UTM builder for multiple campaigns?Choosing the right UTM builder can make or break your campaign data. For teams managing multiple campaigns across platforms and regions, getting it right from the start is essential.Why agencies should champion pre-click data structure in the age of AIAI is changing how marketers work, promising faster insights and smarter decisions. But without clean, consistent pre-click data, even the best analytics tools deliver flawed results.Why AI-powered analytics are only as good as your pre-click dataAI is changing how marketers work, promising faster insights and smarter decisions. But without clean, consistent pre-click data, even the best analytics tools deliver flawed results.Why data governance must come before your CDP, AEM or AI projectThis article explores why strong data governance is essential before launching enterprise tools like CDPs, AEMs or AI-driven platforms. It explains how clean, structured marketing data lays the foundation for reliable insights, efficient activation and long-term ROI.Campaign tracking foundations for enterprise teams: Building measurable marketingIn enterprise marketing, success hinges not just on creative or strategy but on the integrity of your tracking foundation. This article explores how structure, naming, and governance transform scattered data into measurable, scalable marketing.How to Audit Your UTM Tracking Strategy Before Mid-Year ReviewsMid-year reviews put your marketing data under the microscope. This is your chance to uncover hidden tracking issues, take control of campaign governance, and walk into the review room with confidence.How to fix poor marketing tracking before it affects performanceEnterprise marketing data often breaks before the campaign even goes live. This article explores how fixing tracking at the source improves reporting, attribution, and decision-making across the team.UTM parameters: A strategic asset for enterprise marketingIn a marketing ecosystem defined by complexity, fragmentation, and speed, even the smallest tracking errors can disrupt performance insight and decision making. This article explores how rethinking UTM parameters as strategic assets can help enterprise teams regain control of their data and scale with confidence.Marketing taxonomy: Naming and organizing campaigns for marketing successInconsistent naming and tracking may seem like small issues, but they create big problems for enterprise marketing teams. This article breaks down what marketing taxonomy is, why it matters, and how building a consistent structure can unlock better collaboration, cleaner data, and more confident decisions.What is marketing data governance and why should it not be ignored?Enterprise marketing teams face increasing pressure to deliver accurate, actionable insights across complex ecosystems. This article explains what marketing data governance is, why it’s critical for reliable reporting, and how to establish stronger control and alignment across campaigns.How to Drive More Efficiency for Your Data Analytics TeamEnterprise analytics teams are under increasing pressure to deliver more insights with fewer resources. In this article, digital analytics expert Sharon Flynn shares her practical framework for running a lean, high-performing analytics team that prioritizes empathy, automation, and relentless focus on value.The Ultimate Guide to Campaign Tracking in Google Analytics and Adobe AnalyticsCampaign tracking is the backbone of marketing performance measurement. Whether you use Google Analytics or Adobe Analytics, getting your tracking right from the start is essential for reliable insights, efficient operations, and smarter decision-making.Maersk’s data voyage with Accutics: How smart taxonomy and change management unlocked growthThis article explores how Maersk restructured its global marketing operations during its transformation into an integrated logistics company. By implementing Accutics for data standardization and validation, Maersk built a scalable foundation for consistent tracking, better insights, and long-term marketing success.What marketing leaders need to know about attribution fraudAttribution fraud is silently skewing marketing data and wasting ad spend. This article explores how enterprise teams can detect it, fix it at the source, and regain trust in their performance reporting.7 steps to a culture of data informed decisionsCreating a data-informed culture is no longer a strategic nice-to-have. In this article, George Firican shares seven actionable steps that help marketing teams build sustainable, data-driven habits from the inside out.Lead with Insights: What 2025 is already telling us about marketing dataAs marketing teams head into 2025, the pressure to deliver measurable impact is higher than ever. Our latest survey of global marketing and analytics leaders reveals three critical data challenges shaping the year ahead and how the most successful teams are addressing them.Data Analytics in Financial Services: Insights from Sharon FlynnDigital transformation in financial services has accelerated dramatically, placing new pressure on analytics teams to deliver faster insights and more meaningful guidance. In this conversation, digital analytics pioneer Sharon Flynn shares how to build data fluency across the business, tackle implementation challenges, and create value at scale through empathy, governance, and agile thinking.Ensuring marketing data quality: A talk with Brian CliftonMaintaining high-quality marketing data is becoming more difficult as digital ecosystems grow increasingly complex. In this article, Google Analytics pioneer Brian Clifton shares actionable insights on how to ensure data accuracy, align global teams, and prepare your organization for a privacy-first future.How Qualcomm scaled smarter marketing with AccuticsWhen Qualcomm set out to scale its marketing operations, it quickly became clear that clean data was the key to moving faster and making better decisions. This is the story of how a leading enterprise shifted from manual campaign tracking to structured governance with Accutics, unlocking greater efficiency, clarity, and impact.Investing in data strategy: A talk with Jason ThompsonIn a time when analytics teams are being questioned or cut altogether, Jason Thompson offers a sharp perspective on what separates data strategy from analytics theater. In this interview, he outlines how companies can rethink their approach to campaign data, behavioral insights, and long-term value creation.The surprisingly high cost of internally built toolsInternally-built analytics tools often start as quick fixes but quickly grow into costly liabilities. In this article, Frederik Werner breaks down the hidden expenses, risks, and long-term trade-offs of going custom when better solutions already exist.How to optimize KPIs by distilling data with machine learningThis article shows how to activate web analytics data by modeling user propensity to add products to a cart. By distilling behavioral dimensions into a 0–100 score, marketers gain precise segmentation for targeting, personalized content, and improved bidding strategies. The distilled scores feed future models, creating a virtuous loop of data augmentation and KPI optimization.Campaign reporting and marketing data quality: Insights from Wojciech ZakMarketing success is increasingly shaped by the quality of your underlying data. We sat down with Wojciech Zak to explore how marketers can improve campaign reporting, reduce data loss, and create more reliable workflows that lead to smarter, faster decisions.Customer case insurance: Unlocking business growth with marketing dataIn regulated industries, marketing must do more than perform. It must stand up to scrutiny. This article explores how one Fortune 100 insurer tackled fragmented tracking, inconsistent naming, and low visibility by implementing scalable marketing data governance that empowered performance, compliance, and confident decision making.How to automate Google Analytics data with APIs in 5 stepsAutomation is no longer optional for digital analytics teams trying to scale their impact. In this step-by-step breakdown, Erik Driessen shares how his team used APIs and cloud services to automate over 22,000 Google Analytics data checks and free up valuable analyst time.Last-touch Attribution: The pros, the pitfalls, and what marketers should knowLast touch attribution remains one of the most widely used models in marketing analytics, but its simplicity can be both a strength and a weakness. In this article, we explore how it works, where it adds value, and why relying on it alone can lead to misleading insights about customer journeys and campaign performance.Adobe Customer Journey analytics tactics with Frederik WernerAs digital experiences become more complex, marketers and analysts alike must rethink how they build analytics systems that scale. In this conversation, Frederik Werner shares his insights into Adobe Analytics, journey analytics, and what it takes to create a human-centered, data-driven organization.
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