Google Analytics Mastery Bootcamp

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.

Marketing attribution is the assignment of credit for a sale or a sign-up to the advertisements, searches, emails and visits that preceded it, according to a rule called an attribution model, so that each channel's reported results reflect its share of the outcomes it helped cause.

Return on ad spend is the revenue a campaign produced divided by what it cost, expressed as a ratio or a percentage: five pounds of sales for every pound of advertising is a ROAS of 5, or 500 per cent, and the number only becomes a decision once it is compared with the margin on those sales.

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.

Data modelling is the design of how data is structured for a given use: which entities are recorded, which attributes describe them, how the tables relate through keys, and, for analytical use, which table holds the measurements and which hold the context, decided before the data is loaded so that the questions the model must answer run correctly and fast.

Hypothesis testing is the statistical procedure for deciding whether an observed difference, between two groups, two periods or a sample and a claimed value, is larger than chance variation would produce if there were no real difference, by computing how probable a result at least that extreme would be under that assumption.