Integrating Marketing and Sales Strategies: Boosting Brand Visibility and Customer Engagement

International Journal of Scientific Research in Computer Science Engineering and Information Technology, Journal Year: 2025, Volume and Issue: 11(1), P. 1495 - 1514

Published: Feb. 3, 2025

This review examines the integration of marketing and sales strategies as a crucial approach for boosting brand visibility enhancing customer engagement in today's competitive business environment. The fusion efforts aims to create seamless journey, ensuring that potential customers receive consistent messaging experience at all touchpoints. By aligning sales, organizations can leverage strengths both functions drive better outcomes. process begins with establishment common goals metrics teams work towards. includes defining target audiences, setting clear objectives, developing unified message resonates customers. Collaborative planning sessions regular communication between help creating cohesive strategy addresses needs preferences effectively. One key elements this is use data analytics. sharing insights, develop more targeted campaigns personalized approaches. data-driven allows identification high-value prospects creation tailored content appeals specific segments market. Additionally, automation tools Customer Relationship Management (CRM) systems facilitate information tracking interactions across teams. Furthermore, plays vital role integrated approach. High-quality, relevant pain points provides value attract nurture leads through funnel. Sales engage meaningful conversations demonstrate company's expertise commitment solving their problems. benefits integrating include increased visibility, improved lead generation, higher conversion rates, stronger relationships. working together, efficient effective engaging customers, ultimately leading sustainable growth edge marketplace.

Language: Английский

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Optimization design of cross border intelligent marketing management model based on multi layer perceptron-grey wolf optimization convolutional neural network

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 12, 2025

Abstract The cross-border intelligent marketing algorithm based on traditional linear models is relatively single in information feature extraction, making it difficult to effectively handle complex scenarios containing a large amount of implicit users and markets, resulting poor personalized effectiveness. To address this issue, article proposes model that integrates rating user labels using multi-layer perceptron grey wolf optimization convolutional neural network (MLP-GWO-CNN). This extracts high-order through nonlinear methods can sparse data. Firstly, dual path deep structure was designed, which one modeled (MLP) extract interest features historical interaction ratings; Another utilizes Convolutional Neural Networks (CNN) semantic from label construct item representations. In response the sensitivity MLP initial values its tendency fall into local optima, paper uses GWO optimize MLP. Next, latent vectors generated by CNN are fused output layer generate final predictive strategy last. Experiments were conducted real e-commerce dataset, results showed compared with recommendation algorithms, MLP-GWO-CNN proposed performs better utilizing tag information, improving accuracy personalization recommendations. over 89%, recall rate 90%.

Language: Английский

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Developing Communication Strategies with AI

Published: Jan. 1, 2025

Language: Английский

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Adoption of Artificial Intelligence in Marketing

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 32

Published: Oct. 4, 2024

Artificial intelligence is defined as the capability of a machine to perform functions like problem-solving, learning, and reasoning, which are usually carried out by human beings. Growing uses AI in marketing raise concerns about how should be controlled, it used ethically, affects customers. This chapter, therefore, aims at identifying moral legal implications artificial marketing. The present study adopted descriptive approach looking into available literature signifying adoption light ethical issues involved It concluded that future applications would need an solution if they ensure responsible successful adoption. paper provides guidelines for policymakers marketers on can use activity responsibly ethically while wading through challenges this new technology raising.

Language: Английский

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AI-Driven Market Intelligence

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 89 - 108

Published: Nov. 15, 2024

AI-driven market intelligence is revolutionizing how businesses analyze and respond to dynamics. This chapter explores the integration of artificial (AI) tools in competitive analysis positioning. It discusses foundations intelligence, role AI enhancing strategies, practical technologies available for implementation. The also addresses challenges ethical considerations associated with AI, including data quality, legacy systems, privacy concerns. Future trends such as autonomous enhanced personalization, convergence augmented virtual reality are examined. implications these advancements businesses, managers, society analyzed, emphasizing need responsible use strategic innovation. comprehensive overview provides insights into leveraging optimize drive business success.

Language: Английский

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