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Open research questions in Consumer Market Behavior and Pricing

236 unresolved questions extracted from the limitations and future-work sections of 2,600 Consumer Market Behavior and Pricing papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • A natural extension is to allow for further structures, motivated by either economic application-specific assumptions or existing theory, on the nonparametric and distribution-free BCM. One may expect some covariates to affect the latent utility partially linearly.

    A kernelization-based approach to nonparametric binary choice models · 2026 · DOI

  • Prior work has proposed fully nonparametric BCMs, but the proposed estimator is not practical due to computational intractability. The need for a more practical and computationally scalable approach for estimating nonparametric binary choice models.

    A kernelization-based approach to nonparametric binary choice models · 2026 · DOI

  • further analysis of the employment effects of mergers - evaluation of the trade-off between consumer outcomes and employment effects in other industries - consideration of other potential factors affecting consumer welfare and employment

    Mergers, Foreign Competition, and Jobs: Evidence from the US Appliance Industry · 2026 · DOI

  • Little understanding of the employment effects of mergers. Lack of studies evaluating the trade-off between consumer welfare and domestic employment effects of mergers. Need for a framework to quantify the trade-off that policy choices can have for workers and consumers.

    Mergers, Foreign Competition, and Jobs: Evidence from the US Appliance Industry · 2026 · DOI

  • To our knowledge, this issue has not been addressed directly by pricing research ers.

    The Price Bundling of Services: A Normative Framework · 1987 · DOI

  • The gap in the current pricing systems is the inability to adapt to evolving market conditions and identify temporal correlations. The research aims to fill this gap by developing a dynamic pricing system that balances profitability and customer satisfaction.

    Machine Learning Approaches to Dynamic Pricing in E-Commerce: Balancing Profitability and Customer Satisfaction · 2026 · DOI

  • The study focused on examining the effect of price endings on discerned parsimony among college students at FEU Roosevelt Marikina campus. The research was limited to 100 officially enrolled college students. The study did not explore other factors that may influence perceived parsimony among college students.

    The Effect of Price-Endings on Discerned Parsimony among College Students Using E-Commerce Applications · 2026 · DOI

  • There is a lack of understanding of how price endings influence perceived parsimony among college students. Prior studies have not explored the effects of charm pricing and rounded pricing on students' perception of thriftiness and value judgment.

    The Effect of Price-Endings on Discerned Parsimony among College Students Using E-Commerce Applications · 2026 · DOI

  • For Businesses and Organizations • Treat SEO as a long-term investment consistent effort over time yields compounding returns in traffic, authority, and lead quality. • Prioritize content strategy above all other SEO activities. High-quality, user-focused content aligned with keyword intent should form the core of every SEO program. • Build a structured link acquisition strategy earning backlinks from credible, relevant websites is the most reliable path to building domain authority. • Ensure technical SEO fundamentals are in place, including fast page load speeds, mobile optimization, secure HTTPS connections, and properly structured metadata. • Invest in SEO analytics regular monitoring using tools such as Google Analytics, Google Search Console, and SEMrush enables data-driven optimization. 9.2 For Digital Marketing Professionals • Conduct comprehensive keyword research before any content creation to understand what the target audience is actually searching for. • Measure lead quality, not just traffic volume conversion rate, cost per lead, and lead-to-customer ratios provide more meaningful indicators of SEO success. • Stay current with search engine algorithm updates and adapt strategies accordingly. • Integrate SEO with other digital marketing channels particularly content marketing, email marketing, and social media for a cohesive approach. 9.3 For SMEs and Startups • Small and medium enterprises should recognize SEO as one of the most cost-effective digital marketing channels unlike paid advertising, SEO generates ongoing organic traffic without per-click costs. • Begin with foundational on-page SEO before investing in more complex off-page or technical strategies. • Consider partnerships with experienced SEO agencies or consultants if in-house expertise is limited. 10. CONCLUSION This study set out to examine the impact of Search Engine Optimization on website traffic and lead generation, drawing on the experiences and perceptions of 200 digital marketing professionals in India. The evidence collected and analyzed offers a clear and compelling answer: SEO works, and it works powerfully. Across every dimension examined from the effectiveness of on-page and off-page techniques, to the role of content strategy, to the impact on lead generation and conversion respondents demonstrated strong, consistent agreement that SEO makes a meaningful, measurable difference to business outcomes. The statistical analyses confirm not just the existence of these relationships but their strength: an R² of 0.803 indicates that the factors studied account for more than four-fifths of the variance in overall SEO performance. © 2026 The Author(s). Published by IJCOPE Journal.

    A Study on the Impact of Search Engine Optimization (SEO)on Website Traffic and Lead Generation · 2026 · DOI

  • Identifying close substitutes is challenging due to the complexity of product attributes. Traditional assumptions about limited competition may not hold. Measuring product differentiation requires accounting for the popularity of products.

    Measuring product differentiation by observing consumer search · 2026 · DOI

  • Further research could explore the use of other distance metrics or machine learning algorithms to measure product differentiation. The study's findings could be applied to other product categories or industries. Future research could investigate the relationship between product differentiation and other economic outcomes, such as prices or market shares.

    Measuring product differentiation by observing consumer search · 2026 · DOI

  • The primary focus of event ticket market reform has been directed at the secondary market, rather than the primary market. There is a lack of understanding of the market failures in the primary market and how to address them.

    Ticket touting, moral outrage and political opportunism: how not to protect consumers · 2026 · DOI

  • Quota sampling requires central management of the whole sampling process. The standard error of any estimate cannot be determined in the case of quota sampling. Statistical offices are limited by the terms of data transmission established with specific retail chains.

    Sampling techniques in the CPI measurement · 2026 · DOI

  • The paper identifies a gap in the literature regarding the application of sampling techniques for CPI construction. The paper highlights the need for further research on the effect of data filtering on the level of price indices.

    Sampling techniques in the CPI measurement · 2026 · DOI

  • The complexity of the modern digital landscape, - The need for computational precision and analytical transparency, - The requirement for judicious budget management

    DATA-DRIVEN ATTRIBUTION MODELING IN DIGITAL MARKETING · 2026 · DOI

  • Traditional rule-based marketing attribution models are no longer sufficient for the contemporary digital environment. There is a need for more accurate and adaptive approaches to marketing attribution. The study identifies a gap in the existing literature regarding the application of Markov chains and Shapley values to marketing attribution.

    DATA-DRIVEN ATTRIBUTION MODELING IN DIGITAL MARKETING · 2026 · DOI

  • Future research should focus on user retention, churn prediction, and advertising ethics in digital environments. The study suggests examining the impact of advertising on user experience and the importance of segmented original content.

    Impacto económico de la publicidad en Netflix, Prime Video, Disney + y HBO Max. Del SVOD al AVOD · 2026 · DOI

  • The paper identifies a gap in the understanding of the economic impact of the introduction of advertising in streaming platforms. The study highlights the need for research on user retention, churn prediction, and advertising ethics in digital environments.

    Impacto económico de la publicidad en Netflix, Prime Video, Disney + y HBO Max. Del SVOD al AVOD · 2026 · DOI

  • The complexity of measuring consumer cognitive load and visual attention distribution during the decision-making process. The need to capture immediate purchase intention without contamination from intervening questions. The challenge of analyzing the interaction effects between anchor gender, product type, and product gender on purchase intention.

    Effects of anchor characteristics and product attributes on consumer purchase decisions in live streaming sales: evidence from an eye-tracking study · 2026 · DOI

  • The sample size was limited to 95 participants. The study only considered a specific type of product (search-based vs. experience-based). The study did not account for other potential factors that could influence purchase intention.

    Effects of anchor characteristics and product attributes on consumer purchase decisions in live streaming sales: evidence from an eye-tracking study · 2026 · DOI

  • Temporal lag in conventional retail demand forecasting systems. Limited ability of traditional systems to respond to emergent consumer demand signals.

    Social Media Sentiment as a Leading Indicator of In-Store Product Demand: An Empirical Analysis · 2026 · DOI

  • Conventional retail demand forecasting systems rely on historical point-of-sale data, creating a temporal lag. Social media platforms can provide real-time consumer sentiment, potentially filling this gap.

    Social Media Sentiment as a Leading Indicator of In-Store Product Demand: An Empirical Analysis · 2026 · DOI

  • The knowledge gap regarding customers’ innate aggregation patterns. The lack of understanding of the heterogeneity of aggregation behavior among consumers.

    Aggregation processes in customer rating systems - Insights from an economic decision experiment · 2026 · DOI

  • The study was conducted within a single industry. Sales data remain proprietary and therefore detailed statistical analysis is not included. Future research should compare behavioural pricing against randomised control groups and incorporate quantitative econometric modeling.

    Mental Math Pricing, Transparent Price Framing, and Social Media Amplification · 2026 · DOI

  • The study identifies a gap in traditional pricing research, which assumes consumers make purchasing decisions through rational comparison of product prices and features. The research gap is the lack of understanding of how psychological presentation of price influences consumer decision-making.

    Mental Math Pricing, Transparent Price Framing, and Social Media Amplification · 2026 · DOI

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236 open questions have been extracted from the limitations and future-work passages of 2,600 Consumer Market Behavior and Pricing papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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