A campaign measurement framework is a structured system that defines what you will measure, how you will measure it, and what the results actually mean for the business, before a single pound or dollar is spent. Without one, you are not measuring a campaign. You are collecting data and calling it measurement. Most marketing teams…
Ad measurement companies sell the promise of clarity: spend money here, get results there. In practice, most of them measure a proxy of performance rather than performance itself. Understanding what these platforms actually track, where their methodologies diverge, and what questions they still cannot answer is more useful than any vendor comparison chart. The market…
Measurement and attribution are the foundation of accountable marketing, but most businesses are building on sand. Attribution models assign credit to touchpoints, measurement frameworks track outcomes, and together they are supposed to tell you what is working. In practice, they tell you a version of what is working, shaped by the model you chose, the…
Advertising attention measurement providers offer a way to go beyond impressions and clicks, tracking whether ads are genuinely seen, processed, and remembered. The category includes eye-tracking tools, active attention metrics, and passive signal aggregation, each claiming to get closer to the truth of whether your advertising is actually working. Some of them do. Others sell…
Digital advertising measurement is the process of tracking, attributing, and evaluating the performance of paid digital campaigns against defined business outcomes. Done well, it tells you which spend is working, which is not, and where to shift budget. Done poorly, it produces confident-looking reports that have almost no relationship with commercial reality. Most measurement sits…
Attention metrics measure whether an ad was actually seen and processed, not just whether it appeared on screen. Unlike viewability, which only confirms that pixels were present, attention data tells you something closer to what a human brain did with your creative in the moment it was served. Getting started does not require a complete…
A Chief Data and Analytics Officer is a senior executive responsible for building and governing an organisation’s data strategy, analytics capabilities, and the infrastructure that connects data to commercial decisions. The role sits at the intersection of technology, marketing, finance, and operations, and it is increasingly common in organisations where data has become a genuine…
Most marketing teams track too many KPIs and make too few decisions with them. The problem is not a lack of data. It is that KPIs have become a reporting ritual rather than a decision-making tool, and the two things are not the same. If your weekly dashboard has 40 metrics and your team cannot…
Competing on analytics is no longer about having access to data. Every serious marketing team has Google Analytics, a CRM, a paid media dashboard, and some form of attribution modelling. The competitive advantage has shifted to what you do with the data, how quickly you act on it, and whether your organisation is actually built…
AI analytics and automation have changed how marketing teams process data, spot patterns, and act on signals that would have taken days to surface manually. The tools are genuinely useful. But the conversation around them has outpaced the reality, and a lot of teams are automating the wrong things while the decisions that actually matter…
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