Product Success Evaluation Model Based on Star Ratings, Reviews and Product Popularity

Qian, Liwei; Dou, Yajie; Xu, Xiangqian; Ma, Yan; Wang, Shuo; Yang, Yi

doi:10.1109/bigdia56350.2022.9874068

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Brand popularity is often estimated on the basis of product usage (Qian et al, 2022), but predicting it is still a challenge.…”

Section: Introductionmentioning

confidence: 99%

Open data policy, e-commerce connectivity and catalog size predict a global brand’s online popularity rank

Hoogeveen

2022

Preprint

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Content marketing is increasingly important for online branding. However, brand popularity is not yet well-understood form a content marketing perspective. We used brand popularity and catalog data in combination with product reviews (n = 333 brands). Backward stepwise multiple linear regression was used to develop a predictive model of the brand popularity rank. We identified highly significant predictive factors for brand rank in our content marketing model: the brand’s data syndication policy, the number of connected e-commerce platforms, and a brand’s catalog size. Our model explains 78% of the variance of Global Brand Rank and has a good and highly significant fit: F (5, 327) = 233.5, p < 0.00001. We conclude that a content marketing model can adequately predict a global brand's popularity. In this model an open content syndication policy, more connected e-commerce platforms, and catalog size are each related to a better (lower) Global Brand Rank score.

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“…Brand popularity is often estimated on the basis of product usage (Qian et al, 2022), but predicting it is still a challenge.…”

Section: Introductionmentioning

confidence: 99%

Open data policy, e-commerce connectivity and catalog size predict a global brand’s online popularity rank

Hoogeveen

2022

Preprint

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“…Sales based measures for consumer choices of brands are in the online space often less accessible than brand popularity based measures (Kim et al, 2019). Brand popularity is often estimated on the basis of product usage (Qian et al, 2022), but predicting it is still a challenge.…”

Section: Introductionmentioning

confidence: 99%

Open Data Policy, E-Commerce Connectivity and Portfolio Size Predict a Global Brand’s Online Popularity

Hoogeveen¹

2022

Preprint

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Background Content marketing is increasingly important for online branding. Brand popularity can be more easily determined online than sales-based measures but is not yet well-explained from a content marketing perspective. Promising predictors are open data syndication policies, connectivity to e-commerce platforms, product reviews, data health, and the depth and width of a brands product portfolio. A predictive content marketing model can help brand owners to understand their e-commerce potential. Methods We used brand popularity (Brand Popularity Rank) and catalog data in combination with product reviews from an independent content aggregator. For all datasets, we selected the overlapping dataset for brand popularity and brand reviews based on a period of 90 days from June 10, 2022, till September 24, 2022 (n = 333 brands). Backward stepwise multiple linear regression was used to develop a predictive content marketing model of the Brand Popularity Rank. Results Through stepwise backward multiple linear regression five highly significant (p < 0.01) predictive factors for brand rank are selected in our content marketing model: the brand’s data syndication policy, the number of connected e-commerce platforms, a brand’s number of products, its number of products per category, and the number of product categories in which it is active. Our model explains 78% of the variance of Brand Popularity Rank and has a good and highly significant fit: F (5, 327) = 233.5, p < 0.00001. Conclusions We conclude that a content marketing model can adequately predict a Brand Popularity Rank based on online popularity. In this model an open content syndication policy, more connected e-commerce platforms, and catalog size, i.e., presence in more categories and more products per category are each related to a better (lower) Brand Popularity Rank score.

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Sentiment Analysis across Modalities: A Comprehensive Review of Text and Audio Approaches

Elle,

Dhobale,

Deshmukh

et al. 2023

2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC)

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Product Success Evaluation Model Based on Star Ratings, Reviews and Product Popularity

Cited by 4 publications

References 12 publications

Open data policy, e-commerce connectivity and catalog size predict a global brand’s online popularity rank

Open data policy, e-commerce connectivity and catalog size predict a global brand’s online popularity rank

Open Data Policy, E-Commerce Connectivity and Portfolio Size Predict a Global Brand’s Online Popularity

Sentiment Analysis across Modalities: A Comprehensive Review of Text and Audio Approaches

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