Digital Marketing Inbound Course: What You Must Know!
- Provider
- Udemy
- Section
- Marketing Strategy & Analytics
- Price
- $19.99
About this course
Digital Marketing Inbound Course: What You Must Know!: a Marketing Strategy & Analytics course on Udemy, list price $19.99.
The syllabus, reviews and instructor details are on the provider's page.
Course Details
$19.99
List price on Udemy; the sale price is often lower.
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Concepts behind this area
Retargeting (Remarketing)
Retargeting is advertising shown to people because of something they did before: visited a site, viewed a product, abandoned a basket or appeared on a customer list, with the ad platform recognising them later on other sites, in search results or in a video feed and serving an ad tied to that earlier action.
Content Marketing
Content marketing is the practice of earning customers by publishing material they want for its own sake, guides, comparisons, tools, data, video, so that the people who need what a business sells find it, trust it and come back, instead of being interrupted by an advertisement.
Marketing Funnel
The marketing funnel is a model of how strangers become customers in stages, awareness, interest, consideration, purchase, with fewer people at each stage than the one before, used to decide which message, channel and measure belong to which stage.
Business Intelligence (BI)
Business intelligence is the practice and the tooling for turning an organisation's data into reports and dashboards that people use to run it: connecting to the sources, modelling the data into measures everyone agrees on, and presenting it so that a manager sees the state of the business without asking an analyst.
Data Governance
Data governance is the set of decisions and responsibilities an organisation puts in place over its data: who owns each dataset, what each field means, who may read or change it, how long it is kept and how its quality is measured, recorded so that the answers do not depend on who is asked.
Data Quality
Data quality is the degree to which a dataset is fit for the purpose it is used for, assessed along named dimensions, whether the records are complete, unique, consistent, timely, valid and accurate, and measured against the requirements of the decision the data supports rather than against an absolute standard.
The field, explained: Digital & Tech Marketing · Data & Analytics
Wider context: all fields, the glossary and certification exams.
Last updated 26 September 2026 · Getting Digital
