The application of the Integrated Smart Marketing Model

The gap

Evidence profile

Sourced from the future-work section and recommendations of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 3 representative gaps

• Smart marketing in the data age: personalization meets advanced analytics (2026) · SN Business & Economics · doi

  Future studies could explore the application of the Integrated Smart Marketing Model in different industries and contexts. Research could investigate the impact of advanced analytics on customer engagement and loyalty. Studies could examine the role of artificial intelligence and machine learning in enhancing personalized marketing experiences.

  generalfuture-work section
  Keywords: future studies explore application integrated smart marketing model
• Heat maps and data visualization analytics on brand value and customer relationships using hierarchy of effects model (2026) · World Journal of Advanced Research and Reviews · doi

  The study recommends that sports shoe brands and marketing practitioners strengthen their digital marketing strategies by creating engaging and interactive campaigns that build consumer interest, emotional attachment, and customer engagement. Businesses are encouraged to improve product quality, comfort, durability, and brand image while enhancing customer relationships through personalized experiences, responsive communication, and active social media interaction. The study also recommends the use of emotional marketing strategies and community- building activities to strengthen customer loyalty, trust, and long-term relationships. In addition, marketing managers and business strategists are encouraged to utilize data visualization tools and analytics techniques such as heat maps and scatter plots to better understand consumer behavior and support data-driven decision-making. Future researchers are also encouraged to conduct similar studies in different industries and locations, include additional variables related to consumer behavior, and apply advanced technologies such as artificial intelligence and eye-tracking to gain deeper insights into digital marketing effectiveness and customer engagement.

  generalrecommendationsevidence 5/5
  Keywords: marketing customer consumer encouraged recommends strengthen digital strategies emotional engagement relationships behavior sports shoe brands
• AI-Driven Consumer Behavior Prediction and Brand Relationship Marketing: Technological Applications and Theoretical Mechanisms (2026) · Exploring Science Academic Conference Series · doi

  Future research should develop empirical models to examine the mediating role of customer engagement in AI-driven marketing environments - Scholars could investigate how AI-based personalization influences engagement behaviors such as interaction, participation, and advocacy - Future studies should explore the long-term impact of artificial intelligence implementation on brand equity and customer lifetime value

  generalfuture-work sectionevidence 5/5
  Keywords: future research develop empirical models examine mediating role

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