Data-driven strategies, expert analysis, and actionable tactics for e-commerce growth. From Google Ads optimization to Marketing Mix Modeling.
PPC teams spend most of their time decoding Google’s automation, but Microsoft Ads is quietly building an AI approach that can unlock incremental conversions—especially for B2B and high-intent searchers. The win isn’t “turn on AI and pray”; it’s treating Microsoft’s AI features as a controllable system: inputs (feeds, audiences, assets), constraints (budgets, targets, exclusions), and measurement (incrementality and lead quality).
When paid search and paid social performance is reported in CTRs and impressions, leadership hears “activity,” not “business.” A CFO’s lens is financial: profit, cash flow, risk, and predictability. Below is a practical framework to turn PPC data into finance-grade reporting that earns trust—and budget.
David is a comprehensive AI Content Intelligence system designed to challenge the model of mass, impersonal content production by emphasizing strategic direction and alignment with business objectives.
As large language models (LLMs) evolve into a primary source of information, the way brands appear within them is becoming increasingly important. Today, the game is changing. It is no longer enough to rank first on search engines. What truly matters is convincing AI systems to recommend your brand as the top choice.
In an environment where available data is growing exponentially and marketing channels continue to multiply, businesses are challenged to answer one critical question: which investments truly deliver results? As Dimitris Bachtsevanis, Director of Performance & Partner, explains, “The need for reliable models that transform data into actionable insights is more critical than ever.”
AI-powered search is changing what “visibility” means: answers are synthesized, sources are compressed into citations, and low-quality content can re-enter the ecosystem as if it were truth. For performance teams, this creates a new risk—optimizing for a system that may be trained on the very noise we’re producing. The fix isn’t to publish less; it’s to publish with proof, structure, and measurement designed for AI retrieval and human trust.
The phrase sounds like folk wisdom until you run a business on it. In marketing, putting all your eggs in one basket translates to something specific and quantifiable: concentrating your growth dependency on a single channel — usually paid, usually on one platform — in a way that turns every platform-level risk into an existential one. The game in 2026 is not finding the one channel that performs. It is building a portfolio of channels that compound together.
ChatGPT has spent the last two years becoming the first place many users go when they have a real question. Now it is opening up to advertising placements — and the performance marketing playbook has to evolve with it. Unlike social feeds or traditional search result pages, ChatGPT is an intent-first environment: users do not scroll, they ask. That shift changes what targeting looks like, what creative has to do, and how performance gets measured.
Apostolos Ouzounis, Director of Business & Strategy at Omnicliq, represented the team at E-commerce Berlin Expo — the largest event for online business in Europe. Over two days he met leading brands, dug into the latest performance marketing trends, and gathered valuable insights on where the digital market is heading next.
In this guide we walk through, step by step, how to set up a complete revenue tracking system using Google Tag Manager (web) and sending data through a Server-Side GTM container, so that every purchase lands in a MySQL database and you know your e-shop revenue in real time. The goal is not to build yet another report — it is to have an independent purchase record in your own database, so the real revenue stays visible even if GA4, Google Ads, Meta Ads, or any other tool runs into a problem.
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