Keyword intelligence is the practice of using search data to understand what your market actually wants, not what you assume it wants. Done properly, it tells you where real demand exists, how that demand is framed, and where your competitors are positioned relative to it. Most marketers treat keyword research as an SEO task. It…
Marketing metrics and KPIs are only as useful as the questions you ask of them. A metric in isolation tells you almost nothing. A metric in context, compared against a baseline, measured over time, and connected to a business outcome, tells you something worth acting on. The difference between those two things is where most…
Commercial web traffic data tells you how people find, visit, and behave on websites across the competitive landscape. Used well, it sharpens go-to-market decisions, exposes category gaps, and gives you a clearer read on where demand actually lives before you commit budget to chasing it. Used badly, it gives you false confidence dressed up in…
A data-driven attribution model uses machine learning to assign fractional credit to each touchpoint in a customer’s conversion path, based on the actual contribution of each interaction rather than a fixed rule. Unlike last-click or linear models, it weights touchpoints differently depending on how much each one influenced the final outcome, using patterns observed across…
Competitors keyword analysis is the practice of identifying which search terms your rivals rank for, where they invest in paid search, and what content they produce to capture organic traffic. Done properly, it tells you where demand exists, where competitors are vulnerable, and where you are either missing the conversation entirely or fighting battles you…
Attention metrics measure whether an ad was actually seen and processed by a human, not just whether it was technically served. That distinction matters more than most media plans acknowledge. Viewability told us an ad had the opportunity to be seen. Attention tells us whether anything happened as a result. The gap between those two…
GA4 is not a new coat of paint on Universal Analytics. It is a fundamentally different measurement system, built on a different data model, with different defaults, different logic, and different implications for how you interpret your marketing performance. If you migrated to GA4 and simply recreated your old UA reports, you did the migration…
Cookieless attribution is the process of measuring which marketing activities drive conversions without relying on third-party cookies to track users across the web. It uses a combination of first-party data, privacy-preserving APIs, modelled signals, and statistical inference to build a picture of marketing performance that is both compliant and commercially useful. The shift has been…
Competitor rankings are a measure of relative market position, typically assessed through search visibility, share of voice, pricing position, or customer perception scores. They tell you where you stand today. What they rarely tell you is why you’re there, or what it would actually take to change it. That gap between the number and the…
The position based attribution model, sometimes called U-shaped attribution, splits conversion credit between the first and last touchpoints in a customer experience, typically assigning 40% to each, with the remaining 20% distributed across any interactions in between. It was designed to acknowledge that both acquisition and conversion moments matter, which puts it ahead of last-click…
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