Marketing effectiveness evaluation frameworks give organisations a structured way to judge whether their marketing is working, not just whether it is running. The best frameworks connect spending decisions to business outcomes, separate signal from noise, and give leadership teams a shared language for making trade-offs. Without one, most marketing reviews devolve into reporting on activity…
CMO management is the practice of running the marketing function in a way that earns commercial credibility, not just creative respect. It means translating marketing activity into business outcomes, managing upward with clarity, and building a team that delivers results rather than reports. Most CMOs who struggle do so not because they lack marketing skill,…
Customer value management is the discipline of understanding, measuring, and growing the economic value your customers generate over time, then using that understanding to make sharper decisions about acquisition, retention, and resource allocation. Done well, it shifts marketing from a cost centre focused on volume to a function that actively manages one of the most…
Markov chain attribution is a probabilistic model that calculates the contribution of each marketing channel by measuring how much conversion probability drops when that channel is removed from the customer experience. Unlike rules-based models that hand all credit to the first or last touch, Markov chains treat the path to conversion as a sequence of…
A corporate strategy model is a structured framework that defines how a business allocates resources, competes in markets, and creates long-term value. The most useful ones force clarity on questions that most leadership teams prefer to leave vague: where to play, how to win, and what to stop doing. The problem is not a shortage…
Marketing attribution has a first principles problem. Not a data problem, not a technology problem, and not a budget problem. The models most teams rely on are built on assumptions that were never sound to begin with, and the multi-channel allocation decisions flowing from those models are compounding the error at scale. If you want…
Privacy analytics is the practice of collecting and interpreting user behaviour data without relying on individual-level tracking, third-party cookies, or personally identifiable information. It produces measurement that is legally compliant, technically durable, and often more accurate than the bloated, consent-broken data pipelines most marketers have been running for the past decade. The shift is not…
Combining offline transactions with web data gives you a version of marketing attribution that reflects how customers actually buy, not just how they behave on your website. Without it, you are measuring a fraction of the conversion experience and making budget decisions based on incomplete evidence. Most attribution setups are built entirely around digital touchpoints:…
Improving employer branding is not a campaign problem. It is a credibility problem. The organisations that do it well are the ones that start with an honest audit of what they can genuinely say about working there, then build outward from that foundation rather than from a wishlist. The tactics matter less than most people…
AI and machine learning have been built into marketing analytics platforms for years, but most marketers still treat them as background features rather than core tools. That is a mistake worth correcting. These systems are now doing meaningful analytical work: surfacing anomalies before you notice them, predicting conversion likelihood at the user level, and automating…
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