AI is meant to save MarTech teams time. So why does everyone feel busier? This is the AI productivity paradox: saved hours leak into proofreading, rework and reports nobody reads. Here’s where that time really goes, what IKEA and Mars do differently, and how to decide which work stays human.
Every DAM vendor now has agents on the roadmap. But the organisations getting value from AI in their DAM are mostly the ones already getting value from the DAM itself. Here’s how adoption, maturity and AI search decide which side you land on.
Having AI capability in your MarTech stack doesn’t mean you’re ready to realise value from it. Learn how to identify genuine quick wins, assess readiness and prioritise the foundations that matter.
AI let every marketing team build for itself, and the queue outside the MarTech Centre of Excellence disappeared almost overnight. So is the function still relevant? Its mission never changed. But the roles, the KPIs and the risks certainly have. Here is what a modern MarTech COE looks like, and how to measure one.
Cross-device journey continuation is key to reducing cart abandonment and improving customer conversion. When shoppers leave a purchase unfinished on a website, forcing them to start over on a mobile app creates friction. By leveraging real-time behavioral data and customer identity stitching, brands can effortlessly reconnect users with their abandoned items. Read on to see an end-to-end configuration for delivering seamless cross-channel shopping experiences.
Effective debugging is the foundation of every successful Tealium iQ implementation. This article explores practical debugging techniques, essential browser tools, and proven troubleshooting methods to help identify, analyze and resolve tagging and data layer issues with confidence.
Personalisation doesn’t have to mean persistent tracking. Discover how to architect a zero-retention, server-side framework in Adobe Target that delivers high-converting, context-aware digital experiences without storing user data or relying on client-side libraries.
A MarTech value audit has to cover four dimensions: people, process, data and AI activation. Here’s what each one examines – and the one most frameworks miss.
Digital ad fraud is not just wasting your budget anymore, it is actively messing up your MarTech data. Today, scammers are using advanced AI to create incredibly realistic bots that mimic human behaviour, easily tricking standard security tools. The real danger is how this fake data quietly pollutes your entire tech stack, leading to broken experience optimisation results, messy CRM databases, and ad algorithms that waste money targeting ghosts.
Discover how major brands like Vodafone and Rakuten are fighting back by cleaning up their data pipelines and turning AI into their best defence shield.
Understand the key differences between client-side and server-side tagging, how each approach impacts data accuracy, website performance, and privacy, and when to use them together for a modern, reliable tracking strategy.
Adobe Analytics
Adobe Target
Adobe Audience Manager
Adobe Experience Manager
Adobe Campaign Manager
Adobe Real-Time CDP
Google Analytics (GA4)
Google Analytics (360)
Google Optimize
Google Tag Manager
Tealium AudienceStream CDP
Tealium EventStream
Tealium IQ
Consulting
MarTech Gap Analysis
MarTech Maturity Auditing
Customer Journey Mapping
Learning and Adoption Solutions
Analytics Platforms
Audience Management Platforms
Customer Data Platforms (CDP)
Data Management Platforms (DMP)
Social Engagement Platforms
Data Collection
Data Visualisation and Reporting
Predictive Analytics & AI
Actionable Insights​
Conversion Rate Optimisation (CRO)
A/B Testing and Experimentation
Personalisation Strategies
Data Automation
Business Intelligence
Generative AI
Paid Search
Paid Social
Display and Video
SEO
Affiliate Marketing
