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The Code Trap: Why Vibe Coding Can Become the Most Expensive Decision in Your MarTech Stack

The Code Trap: Why Vibe Coding Can Become the Most Expensive Decision in Your MarTech Stack

"We'll build that in-house" – a sentence with consequences With the rise of increasingly powerful AI agents and vibe coding tools, we hear this sentence more often than ever: "We ...
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In the Age of AI Agents, Systems of Record Gain Strategic Importance

In the Age of AI Agents, Systems of Record Gain Strategic Importance

Why AI Puts Interchangeable SaaS Under Pressure and Marketing Needs a True Single Source of Truth The discussion around AI Agents and Large Language Models is often oversimplified. Many hear ...
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Marketing Effectiveness: How Data-Driven Practices Maximize Media Impact

Marketing Effectiveness: How Data-Driven Practices Maximize Media Impact

Marketing departments today are under immense pressure: budgets must be deployed more transparently and efficiently, while teams simultaneously struggle with increasing workloads despite a wide range of automation tools. Yet ...
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5 campaign management challenges - how can a media operations platform help?

5 campaign management challenges - how can a media operations platform help?

The complexity of digital advertising has reached new heights in 2025. As marketing teams juggle an ever-growing number of channels, platforms, and data sources, one thing becomes increasingly clear: efficient ...
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AI-powered marketing measurement and Marketing Mix Modelling platforms: a panacea or a black box?

AI-powered marketing measurement and Marketing Mix Modelling platforms: a panacea or a black box?

The marketing world is abuzz with the possibilities of artificial intelligence. Especially in the areas of marketing measurement and Marketing Mix Modelling (MMM), new AI-powered platforms promise a revolution: faster ...
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Feature Selection for Marketing Mix Modelling using Boruta Algorithm

Feature Selection for Marketing Mix Modelling using Boruta Algorithm

Any new Marketing Mix Modelling (MMM) project starts with thorough preparation steps: before we even collect and process the input data, we need to decide which data is relevant and ...
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