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Optimizing user conversion in an automotive marketplace: insights from behavioral analytics and predictive modelling
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 1.31 MB | Adobe PDF |
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Orientador(es)
Resumo(s)
This study explores user behaviour on a digital marketplace to optimise conversion rates by
addressing drop-offs across the customer journey. Research objectives focus on identifying
bottlenecks and improving user transitions from Visitors to Enquirers. Using Exploratory
Data Analysis (EDA) and Predictive Modeling, key findings highlight navigation challenges,
engagement imbalances, and the impact of email and landing page strategies on conversions.
Recommendations include refining landing pages, enhancing CRM personalization, and
optimising mobile experiences to improve user engagement and platform effectiveness.
Descrição
Palavras-chave
Behavioral analytics Conversion prediction Automotive marketplace User engagement