B2B sales data is the information your commercial team uses to identify, qualify, prioritise, and close opportunities. That includes firmographic data, intent signals, pipeline metrics, conversion rates, and the behavioural patterns that separate deals that close from deals that stall. Most B2B teams have more of it than they know what to do with, and…
Amazon market research means using the platform’s search data, product listings, customer reviews, and category rankings to understand what buyers want, what competitors are doing, and where commercial opportunity exists. Done properly, it gives you a cleaner signal on purchase intent than almost any other research method available. The reason Amazon works so well as…
Financial services market research is the discipline of gathering and analysing information about customers, competitors, and market conditions within banking, insurance, wealth management, and related sectors. Done well, it reduces the cost of being wrong. Done poorly, it produces expensive reports that confirm what leadership already believed and gather dust in a shared drive. The…
B2B marketing attribution is the practice of connecting marketing activity to revenue outcomes across a sales cycle that can span weeks, months, or years. Done well, it tells you which channels and touchpoints contributed to a closed deal. Done poorly, it gives you a confident-looking number that is pointing at the wrong thing entirely. The…
Omnichannel analytics is the practice of connecting customer data across every touchpoint, channel, and interaction to build a coherent picture of how people move toward a purchase, and what keeps them coming back. Done well, it shifts your understanding from “which channel drove the conversion” to “how do all of these channels work together to…
Marketing revenue attribution is the process of assigning credit for revenue to the marketing channels and touchpoints that contributed to a sale. Done well, it gives you a clearer picture of which activity is actually driving commercial outcomes, not just which channel happened to be last in the queue. Done poorly, it creates a false…
Decision-based evidence making is the practice of reaching a conclusion first, then selecting data to support it. It is the reverse of evidence-based decision making, and it is far more common in marketing than most practitioners would like to admit. The result is strategy that feels rigorous because it is wrapped in numbers, but is…
Measuring market size means estimating the total revenue opportunity available to your business in a defined market, using a combination of top-down industry data, bottom-up demand signals, and competitive intelligence. No single method gives you the complete picture, and anyone who tells you otherwise is selling you false precision dressed up as analysis. The goal…
Video marketing analytics is the practice of measuring how video content performs across channels, from view counts and watch time through to conversion events and revenue attribution. Done well, it tells you which videos are driving business outcomes and which are just generating noise. The problem is that most marketers stop at the metrics their…
Customer experience analytics is the practice of tracking, connecting, and interpreting customer behaviour across multiple touchpoints to understand how people move from first awareness to purchase and beyond. Done well, it gives you a clearer picture of where customers drop off, what drives conversion, and which parts of the experience are quietly costing you revenue….
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