Essays about: "click through rate"

Showing result 1 - 5 of 15 essays containing the words click through rate.

1. 1. eCRM PERSONALIZATION STRATEGIES : Influence of content personalization on consumer engagement performance of email marketing campaigns

   University essay from Jönköping University/Internationella Handelshögskolan

   Author : Daniela Rodriguez; [2023]
   Keywords : CRM; email marketing; content personalization;

   Abstract : Background: As personalization has become a common CRM strategy for companies to create valuable relationships with customers, users are receiving an increased amount of personalized communication, further research is needed on the influence of content personalization in specific channels, to improve customer engagement.  Purpose: This paper seeks to analyse the influence of eCRM content personalization strategies on the consumer engagement performance of email marketing campaigns building upon existing knowledge about the benefits and opportunities of personalization strategies. READ MORE

3. 2. The effect of navigability on e-commerce for students

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Wilma Petersson; Anna Kärrlander; Erik Bertilsson; Erik Hjalmarsson; Lukas Floberg; Martin Stenström; Per Melin; Viktor Valfridsson; [2023]
   Keywords : navigability; navigation; second-hand; web-shop;

   Abstract : The consumer trend towards sustainable purchasing habits online has increased due to the environmental impact of the clothing industry. While second-hand shopping is a popular option, it is often avoided due to the perceived inconvenience. READ MORE

4. 3. Attention-based Multi-Behavior Sequential Network for E-commerce Recommendation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Zilong Li; [2022]
   Keywords : Recommendation System; Sequential Recommendation; Click-through Rate Model; Transformer; Multi-Task Learning; Sistema di Raccomandazione; Raccomandazione Sequenziale; Modello di Percentuale di Clic; Trasformatore; Apprendimento Multitasking; Rekommendationssystem; Sekventiell rekommendation; Klickfrekvensmodell; Transformator; Multi-Task Learning;

   Abstract : The original intention of the recommender system is to solve the problem of information explosion, hoping to help users find the content they need more efficiently. In an e-commerce platform, users typically interact with items that they are interested in or need in a variety of ways. For example, buying, browsing details, etc. READ MORE

5. 4. Let's get moving : The effects of animated advertisements in a digital market

   University essay from Jönköping University/Tekniska Högskolan

   Author : Carl Coreback; David Krall; [2022]
   Keywords : Animation; Attention; Click-through rate; Memory; Attitude; Online Advertisements; Social media; Instagram;

   Abstract : Purpose – The purpose of this study is to analyse the differences in click-through rate, attention, memory (recall and recognition), and attitude between static and animated advertisements on the social media platform Instagram. This study addresses whether static or animated advertisements are more effective on social media. READ MORE

6. 5. Ad optimisation with a collaborative multi-armed bandit algorithm

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Måns Rönnberg; [2022]
   Keywords : ;

   Abstract : This report describes the implementation of a collaborative multi-armed bandit algorithm in Python. The algorithm is tested on different online ad campaign data with the purpose of finding out if a collaborative bandit can come to an accurate decision faster on which ad in a set of ads is the best performer with regards to click-through rate. READ MORE