What question did this study set out to answer?

To develop a decision-support framework that optimizes digital marketing strategies using a hybrid approach.

May 22, 2026MathematicsOpen Access

A Hybrid AI Approach for Intelligent Group Buying and Digital Marketing Strategy Optimization Based on Machine Learning and Evolutionary Algorithms

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Authors

ZAZhansaya AbildaevaSatbayev University RURaissa UskenbayevaSatbayev University ZKZhuldyz KalpeyevaSatbayev University

Discussion

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Implication

Randomized trial demonstrates improved digital marketing strategies in Kazakhstan's agro-industrial complex, indicating effective resource management.

Key Points

To develop a decision-support framework that optimizes digital marketing strategies using a hybrid approach.
Integrated a modified NSGA-III algorithm with machine learning techniques.
Analyzed a dataset of N = 1200 observations.
Evaluated multiple objectives: maximizing channel efficiency, audience reach, and minimizing costs.
Achieved a 12.4% improvement in composite performance indicator compared to single-objective methods.
Identified three distinct clusters of marketing strategies with Pareto front analysis.
Confirmed clustering validity with a silhouette score of 0.624.

Cite This Study

Abildaeva et al. (2026) studied this question.

synapsesocial.com/papers/6a0ff3ffd674f7c03778d09e https://doi.org/10.3390/math14101755

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Implication

Randomized trial demonstrates improved digital marketing strategies in Kazakhstan's agro-industrial complex, indicating effective resource management.

A Hybrid AI Approach for Intelligent Group Buying and Digital Marketing Strategy Optimization Based on Machine Learning and Evolutionary Algorithms

Discussion

Member takes

Implication

Key Points

Cite This Study

A Hybrid AI Approach for Intelligent Group Buying and Digital Marketing Strategy Optimization Based on Machine Learning and Evolutionary Algorithms

Discussion

Member takes

Implication

Key Points

Cite This Study

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