In data science, bias refers to intentional or unintentional deviations from the truth in the process of collecting, analyzing, and interpreting data. Following rigidly objective standards can help eliminate bias from research and avoid incorrect conclusions.
This score is a way to summarize highlights from the results of a rating scale survey, such as a 1–5 or 1–10 satisfaction survey where 1 represents extreme dissatisfaction and 5 or 10 represents extreme satisfaction. Typically, the “Top 2 score” is the percentage of survey respondents who selected one of the two most favorable rating options (4 or 5 in the 1-5 rating scale, for example). The Bottom 2 box score is the opposite percentage of respondents who selected one of the two least favorable rating options.
This refers to the process of converting data between formats, often between different computer systems or databases.
Multi-touch attribution uses first-party data to break down, click by click, the process that brought a customer to the point of sale. Marketers can then assign credit where it is due in terms of the marketing media with which the customer came into contact, and better understand how to replicate that process.
Attribution analysis seeks to evaluate the success of campaigns in driving sales and highlight any influential links between the two, often down to the level of individual user purchases.
You have a unique audience to reach. Let’s make sure your message gets the engagement it deserves. That’s the heart of our method.
