The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– Web analytics is the collecting and analysis of data for optimizing an online process. Segmentation. or segment analytics, is an approach of dividing customers into groups based on different characteristics. The resulting segments are composed of consumers who will respond […]
Personas with Segment Analytics (Part 1) Read More »
APG is a data-intensive system that rapidly creates rich personas representing customer segments by employing web/social media / online analytics. Here is an example of an APG persona. How? APG uses this online analytics data to identify customer behaviors, generates customer segments, and then enriches these customer segments with gender, age, and nationality appropriate names
APG: Creating Personas FAST! Read More »
APG is a data-intensive system that automatically creates rich personas representing customer segments by employing web/social media analytics. Here is an example of an APG persona. APG uses this analytics data to identify customer behaviors, generates customer segments, and then enriches these customer segments with gender, age, and nationality appropriate names and pictures; customer loyalty
APG: A Data-Intensive Persona System Read More »
The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– Behavioral personas take the basic personas one step further. Personas are imaginary people representing the user, audience, or customers of a market segment based on real market research data. With personas, you get answers to questions such as: “Who is
Behavioral Personas Read More »
The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– Once we have created a data-driven personas using the persona creation process, we can then test to determine which of these personas give us better results. We can analyze these results and decide which of our personas should be given
A/B Testing Personas: Using Data-Driven Personas for A/B Testing Read More »
In this research led by Joni Salminen, we develop valid constructs for assessing personas. Although personas are widely used in many domains, the evaluation of personas is difficult mainly due to the lack of validated measurement instruments. To tackle this challenge, this research undertakes the development of the Persona Perception Scale (PPS), which is a survey
Persona Transparency: Analyzing the Impact of Explanations on Perceptions of Data-Driven Personas Computational techniques are becoming more common in persona development. However, users of personas may question the information in persona profiles because they are unsure of how it was created. This problem is especially vexing for data-driven personas because their creation is an opaque
