Campaign attribution is the process of assigning credit to the marketing touchpoints that contribute to a conversion, helping you understand which channels, campaigns, and messages are driving results. Done well, it shapes budget decisions, informs creative strategy, and gives finance a cleaner line of sight between spend and return. Done badly, it creates a false…
Word of mouth advertising is the process by which customers voluntarily recommend a product or service to others, generating awareness and purchase intent without direct media spend. It works because people trust people more than they trust brands, and a recommendation from someone inside your world carries more weight than any ad you could buy….
AI in SEO analysis refers to the use of machine learning and large language models to automate and augment tasks that previously required significant manual effort: crawling data, identifying ranking opportunities, flagging technical issues, and surfacing content gaps at a scale no analyst could match by hand. The tools are genuinely useful. They are also…
Loss aversion theory holds that people feel the pain of losing something more intensely than they feel the pleasure of gaining something of equivalent value. The psychological weight of a potential loss consistently outpaces the pull of an equivalent reward, which means messaging built around what someone stands to lose tends to outperform messaging built…
Call to action advertising is the practice of designing ads, landing pages, and marketing messages around a single, clear prompt that tells the audience what to do next. Done well, it is the difference between a campaign that generates pipeline and one that generates impressions. Done badly, it is a button that says “Learn More”…
Generative AI SEO is the practice of using large language model tools to accelerate and improve search optimisation work, from content creation and keyword research to technical audits and on-page structuring. It does not replace SEO strategy. It compresses the time it takes to execute it. That distinction matters more than most of the coverage…
AI for customer insights means using machine learning and large language models to surface patterns in customer behaviour, sentiment, and intent that would take a human analyst weeks to find. Done well, it compresses the gap between data collection and commercial decision-making. Done poorly, it produces confident-sounding outputs that tell you nothing you couldn’t have…
LinkedIn B2B advertising is one of the most precise targeting environments in paid media, and one of the most consistently misused. The platform lets you reach a CFO at a 500-person SaaS company in a specific geography. Most advertisers use that precision to serve generic creative to audiences that are nowhere near ready to buy….
Customer health scoring with AI means using machine learning and behavioural data to predict which customers are likely to grow, churn, or stagnate, before the signal becomes obvious to a human analyst. Done properly, it shifts your team from reacting to customer problems to anticipating them. Most companies track customer health badly or not at…
AI generated content can be good for SEO, but the answer depends almost entirely on how it is used. Google’s position is clear: it rewards content that demonstrates experience, expertise, authoritativeness, and trustworthiness, regardless of how that content was produced. AI that generates thin, generic, undifferentiated text will hurt your rankings. AI that helps skilled…
Practical marketing intelligence
for people who think.
© 2026 The Marketing Juice