Short videos have become one of the dominant formats of social media content. Such short videos are often boosted by advertising to increase their reach and visibility. In research led by Joni Salminen, we investigate user churn (i.e., drop or loss of consumers during the video viewing) of short video ads on TikTok. Data from…… Continue reading Engagement Patterns in TikTok: An Analysis of Short Video Ads
Category: Customer Lifetime Value
Designing With Multiple Personas in Mind: Multi-Persona Design for Large Target Populations
There is a need for personas usage to shift from focusing on one persona at a time to Multi-Persona Design. In the context of global design and development using personas, the traditional approach of utilizing a limited set of personas, often 10 or fewer, is a widely accepted guideline. This ‘small persona’ mindset assumes a…… Continue reading Designing With Multiple Personas in Mind: Multi-Persona Design for Large Target Populations
StoryOptimizer – Leveraging AI for better cross platform social media content creation
If your organization does cross-platform posting (i.e., posts the same or similar content on multiple social media platforms). As part of our Acua system, we’ve developed a feature that takes a generic post and automatically optimizes it for 6 social media platforms. See below. We have already tested the feature in a 900-person user study,…… Continue reading StoryOptimizer – Leveraging AI for better cross platform social media content creation
How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
What algorithm to choose for customer segmentation? Should you use one algorithm or many? How many customer segments should you create? How to evaluate the results? In this research, we conduct a systematic literature review to address such central questions in customer segmentation research and practice. The results from extracting information from 172 relevant articles…… Continue reading How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
Analytics Systems are Sporadic Use but Constant Collection
Analytics systems are information services that are used to analyze and interpret data to gain insights, identify patterns, and support decision-making processes. Analytics systems are one of the unique information services that are a combination of sporadic use but require constant data collection. Sporadic or occasional use information systems are information services that are used…… Continue reading Analytics Systems are Sporadic Use but Constant Collection
Will They Take This Offer? A Machine Learning Price Elasticity Model for Predicting Upselling Acceptance of Premium Airline Seating
Employing customer information from one of the world’s largest airline companies, we develop a price elasticity model (PREM) using machine learning to identify customers likely to purchase an upgrade offer from economy to premium class and predict a customer’s acceptable price range. A simulation of 64.3 million flight bookings and 14.1 million email offers over three years…… Continue reading Will They Take This Offer? A Machine Learning Price Elasticity Model for Predicting Upselling Acceptance of Premium Airline Seating
Customer Segmentation Based on Buying and Returning Behaviour
In this article, we will be reviewing a research paper, titled: ‘Customer segmentation based on buying and returning behaviour’. The focus of this research paper is based on two aspects, which are: To determine if a general-purpose strategy conforms to the clothing businesses that involve e-commerce To properly assess for certain if customer rates of…… Continue reading Customer Segmentation Based on Buying and Returning Behaviour
SiloSolver: Algorithm for Aggregating Siloed Customer Segments in Facebook Ads Campaigns
Data silo problem refers to related datasets located in different databases, systems, or files. In the case of online advertising, performance metrics are fragmented in different campaigns and ad sets, making it difficult to compare customer segments. In this research, we present SiloSolver, an algorithm that: (a) retrieves performance metrics for different customer segments across…… Continue reading SiloSolver: Algorithm for Aggregating Siloed Customer Segments in Facebook Ads Campaigns
Customer Segmentation and Strategy Development Based on Customer Lifetime Value: A Case Study — Summary
In this article we will be reviewing a research paper titled: Customer segmentation and strategy development based on customer lifetime value; published by Elsevier in the year 2006. The authors have presented an approach for evaluating customer value and segmenting customers into segments on the basis of their value. Following the segmentation of consumers on…… Continue reading Customer Segmentation and Strategy Development Based on Customer Lifetime Value: A Case Study — Summary
A Balanced View for Customer Segmentation in CRM
Introduction and the Research Problem Jongwook Yoon, Seok H. Hwang, Dan J. Kim, and Jongsoo Yoon proposed a study titled “A Balanced View for Customer Segmentation in CRM” published in the Ninth Americas Conference on Information Systems in 2003. The authors emphasize that customer segmentation is essential for enterprise customer relationship management (CRM) implementation. However,…… Continue reading A Balanced View for Customer Segmentation in CRM