Essays about: "customer retention e commerce"

Showing result 1 - 5 of 11 essays containing the words customer retention e commerce.

  1. 1. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

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

    Author : Luca Colasanti; [2023]
    Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

    Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE

  2. 2. China Influencer E-commerce Livestreaming Marketing Strategy Research

    University essay from Jönköping University/Internationella Handelshögskolan

    Author : Yimeng Ma; [2023]
    Keywords : e-commerce; netnography; influencers; followers; and online community;

    Abstract : The surge of mobile internet and electronic devices has revolutionized consumer interactions and information consumption. Livestreaming emerges as a prevalent advertising method in e-commerce, compensating for the static nature of traditional platforms by providing dynamic buying experiences. READ MORE

  3. 3. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Amanda Rudälv; [2023]
    Keywords : Customer behavior; E-commerce; Churn prediction; Statistical model; Machine learning; Random forest; Logistic regression; Feature importance; Kundbeteende; E-handel; Kundbortfall; Statistisk modell; Maskininlärning; Random forest; Logistisk regression; Variabelsignifikans;

    Abstract : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. READ MORE

  4. 4. Factors Influencing the E-commerce Purchase Process of Big High Involvement Products

    University essay from KTH/Industriell Management

    Author : ERICA DRAGON; JOHANNA TAFLIN; [2018]
    Keywords : ;

    Abstract : E-commerce is growing and has grown considerably during the last two decades. It is also growing within product segments previously believed to be hard to sell over the internet, such as big high involvement products and this is calling for an exploration of the e-commerce purchase process for this product segment. READ MORE

  5. 5. Managing Customer Relationships : In the Swedish pre-packed grocery bag industry

    University essay from Högskolan i Jönköping/IHH, Marketing and Logistics

    Author : Karolina Andersson; Izabelle Ring; Emma Sjöstrand; [2016]
    Keywords : Electronic grocery; customer relationships; Pre-packed grocery bags; grocery retailing; electronic commerce;

    Abstract : Background: The electronic grocery market in Sweden is growing because; more actors enter the market, increased digitalisation and greater consumer interest. Therefore, companies must adapt their products and services, while building and maintaining customer relationships. READ MORE