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Digital Marketing 3

Across
A test that runs multiple experimental designs at the same time. For example, in a two-cell multicell test, cell A has two groups, test and control, and cell B has two groups, test and Control.
A regression-based analysis that quantifies how much sales and thus return on ad spend can be correlated to each media channel in the mix, for both offline and online channels.
A platform for running experiments on ads across Meta technologies and measuring the incremental impact of ads on business outcomes.
Measures the total conversions caused by your ads across Meta technologies.
A rule-based attribution model that enables you to credit multiple touchpoints in the customer journey.
In the context of machine learning, the concept of allowing Meta to determine the best placement, ad set budget and bids for a campaign.
An experimental method in which the treatment group for one test is subdivided into a control group and a secondary testing Group.
The allocation of budgets across different channels.
The amount you’re willing to spend over the entire runtime of your ad set or campaign.
Down
A rule-based attribution model that gives 100% of credit to the last ad a person interacted with before a conversion, whether it’s an impression or a click.
uses machine learning to predict how much ROAS you may generate for a business over a one- or 7-day window. This prediction is then used to bid for your highest value customers. By bidding more for people who are likely to spend more, you can maximize the ROAS for your campaigns
Enables you to measure how much your ads across Meta technologies lead to offline outcomes, such as purchases in your stores, phone orders and bookings.
A discipline that uses science, information and computer code to automatically predict certain outcomes based on discovered patterns not explicitly programmed.
A metric selected to evaluate the success of a campaign or ad.
A general statement or default position in inferential statistics that there is no relationship between two measured phenomena or no association among groups.
A way of collecting data through observing.
A piece of code installed on your website that captures website events.
A randomization method that includes all randomized participants in a statistical analysis and analyzes according to the group they were originally assigned, regardless of what treatment (if any) they received.