AI Explained | Glossary of Terms

This article is intended to serve as a glossary of terms that appear in the upgraded Plan Performance and Model Summary tabs of your dashboards.

Baseline Window

A window of past dates used to show historic performances from your OneView. The windows are defined to have the same number of days as your Planning Window.

Cluster Feature

Should recommendations be clustered into groups of similar recommendations? This reduces thousands of recommendations to a more manageable number. Clustering is done by default.

Diminishing Return on Ad Spend

At a given level of spend, how saturated is the market or, equivalently, how greatly does your return diminish.

Great Prediction

Any recommendation that has a lower Cost Per than the baseline scenario.

Maximize Target Prediction

Recommendations provide a larger value of your target than the baseline, but are less efficient than your baseline.

Marginal Return on Ad Spend

Historically, the return in a stage of your pipeline for every $1 spent

Not a Recommended Prediction

Recommendations that are inferior to other predictions and should not be used.

Number of Clusters

If clustering is enabled, how many final groups would you like?

Planning Window

A window of future dates over which the model will perform optimization. Each window beings on the first day of the next month and extends for varying lengths of time.

Prediction Performance

How well does your model perform when asked to predict things that have already occurred? The SMAPE metric is used here. For more information, check out our Can I use my model if it's performing below benchmark?.

Top Prediction

A recommendation that provides a larger value of your target for a smaller cost when compared to your baseline. Additionally, the recommendation with the best Cost Per of all recommendations is counted as a Top Prediction. For more information, check out our Prediction Categories Explained article.