scispace - formally typeset
Search or ask a question

How high is the engagement of micro and macro influencers? 


Best insight from top research papers

Micro and macro influencers exhibit varying levels of engagement on social media platforms. Research suggests that micro-influencers, with up to 400,000 followers, are impactful in generating high engagement levels for fashion brands on Instagram . On the other hand, macro-influencers face challenges in maintaining authenticity and engagement, with the impact of community size on engagement following an inverted U-shaped pattern . When it comes to influencer marketing, both celebrity endorsers and micro-influencers play crucial roles in enhancing consumer-brand engagement through social media. Celebrities attract more followers, while micro-influencers generate more clicks, comments, and likes, ultimately increasing engagement levels . Additionally, smaller influencers, such as micro-influencers, demonstrate higher prowess in engaging customers compared to traditional celebrities, suggesting that "less is more" in influencer marketing strategies .

Answers from top 5 papers

More filters
Papers (5)Insight
Micro influencers have higher engagement, using 6 hashtags per product placement compared to macro influencers' 4 hashtags, indicating a more involved approach in promoting products on Instagram.
Engagement for influencers varies based on community size, with macro-influencers experiencing an inverted U-shaped relationship. Disclosure messages enhance engagement for macro-influencers when shared by the influencer.
Micro influencers show higher engagement in terms of clicks, comments, and likes, while macro celebrities attract more followers. Both influencer types contribute to consumer-brand engagement on Instagram.
Micro influencers exhibit higher engagement levels compared to traditional celebrities, suggesting that smaller influencers are more effective in engaging customers.
Micro-influencers show higher engagement levels for fashion retail brands on Instagram compared to macro-influencers, as analyzed in the study.

Related Questions

Factor influencing engagement?5 answersFactors influencing engagement include various elements such as spatial enclosure, object interactivity, user-generated contents, avatar proximity, work environment, leadership, co-worker relationship, training and career development, compensation, workplace well-being, lecturer-student interaction, lecturer’s teaching method, learner factor, lecturer factor, educational or institutional factor, teacher-student relationship, positive teacher behavior, partnership, environmental support, negative teacher behavior, negative learning behavior. These factors play crucial roles in determining engagement levels in different settings like immersive technologies, organizational environments, online learning, and higher education institutions. Understanding and addressing these factors can significantly impact engagement levels and ultimately influence outcomes in various contexts.
How do micro-influencer decisions affect macro-economic aggregates, and vice versa?4 answersMicro-influencer decisions can have an impact on macro-economic aggregates, and vice versa. For example, in the study by Gu et al., it was found that firms with political advantages at the macro level, such as affiliations with heads of state or political status of leaders, adjust their leverage ratios faster. Similarly, Wu and Adams found that using aggregate data to estimate economic relationships can provide more accurate predictions for acreage response compared to micro-level models. Additionally, Dosi et al. demonstrated in their research that policies affecting innovation, industry dynamics, demand, and income distribution can have strong complementarities in ensuring sustained growth and employment at the macro level. These findings suggest that micro-influencer decisions, such as political affiliations or policy choices, can have significant effects on macro-economic aggregates, and understanding these interactions is crucial for economic analysis and policymaking.
How does influencer marketing affect consumer behavior and brand engagement?5 answersInfluencer marketing has a significant impact on consumer behavior and brand engagement. Positive attitudes towards social media influencers lead to a greater tendency to purchase the marketed products, while negative attitudes result in refraining from buying. The disclosure of influencer marketing as advertising is a double-edged sword, with platform-initiated disclosures negatively affecting influencer trustworthiness and consumer engagement, but also increasing perceived trustworthiness and engagement when influencers disclose posts as advertising. Video content in influencer marketing campaigns plays a crucial role in consumer engagement, with emotional facial expressions in videos negatively associated with engagement, while emotionality in post descriptions positively affects engagement. Attractive celebrity influencers have a significant effect on online consumer-brand engagement, leading to online impulse purchases, and this effect is moderated by impulse buying tendency.
How does socila media usage, social media hours spent affects micro-influencer marketing force for gen z?5 answersSocial media usage and the number of hours spent on social media have a significant impact on the effectiveness of micro-influencer marketing for Generation Z (Gen Z). Gen Z consumers tend to avoid brands and influencers who they perceive to have too much control over the content. However, when Gen Z has a strong relationship with influencers, they are less likely to avoid them and the endorsed brands. Additionally, social media influencers play a crucial role in influencing the purchasing decisions of Gen Z consumers. The use of social media by SMEs and new ventures can be an effective and cost-efficient way to target Gen Z consumers. Overall, social media usage and the relationship between influencers and Gen Z consumers have a significant impact on the effectiveness of micro-influencer marketing.
What are the differences between nano-, micro- and macro-influencers?5 answersNano-, micro-, and macro-influencers differ in terms of their follower count and level of authenticity. Nano-influencers have the smallest follower count, typically ranging from a few hundred to a few thousand followers. They are considered highly authentic due to their niche expertise and close relationship with their followers. Micro-influencers have a slightly larger follower count, usually ranging from a few thousand to tens of thousands. They are valued for their ability to engage with their audience on a more personal level and are seen as more authentic than macro-influencers. Macro-influencers have the largest follower count, often in the hundreds of thousands or millions. They are known for their wide reach and ability to generate mass awareness. However, their authenticity may be perceived as lower compared to nano- and micro-influencers.
How does social media influencer marketing affect customer brand engagement?5 answersSocial media influencer marketing has a significant impact on customer brand engagement. Influencers' emotional connection with their followers through facial expressions and caption text in video posts positively influences consumer engagement, including likes, comments, and views of posts. The credibility of influencers and the similarity between influencers and consumers also play a crucial role in enhancing consumer brand engagement. Additionally, the informativeness of influencer content positively affects cognitive and behavioral aspects of engagement, while content entertainment enhances emotional engagement. Video characteristics, such as emotional facial expressions, and corresponding post descriptions, also affect consumer engagement with influencer social media posts. Social media marketing, including entertainment, personalization, and electronic word-of-mouth, positively influences customer-brand engagement in the banking industry. Online influencer marketing, particularly in the fashion industry, is increasingly important for reinforcing brand identity and driving customer engagement.

See what other people are reading

How does the theory of personal selling impact the overall performance of an organization?
5 answers
The theory of personal selling significantly impacts the overall performance of an organization. Research shows that personal factors, such as salesperson creativity, play a crucial role in sales performance. Additionally, sales-related capabilities of sales organizations, including salesforce management and personal selling capabilities, positively influence individual sales capabilities, behaviors, and performance. Moreover, personal selling can enhance brand performance by promoting brand knowledge, enhancing communication, increasing interaction time, and building relationships. Furthermore, the effectiveness of personal selling and sales promotional strategies can positively impact market performance, contributing to the profitability of manufacturing companies. Understanding and implementing effective personal selling strategies are essential for organizations to drive sales, enhance brand performance, and improve overall market performance.
What is explainable ai?
10 answers
Explainable AI (XAI) refers to the subset of artificial intelligence technologies and methodologies that are designed to make the decision-making processes of AI models transparent and understandable to humans. The primary goal of XAI is to bridge the gap between the high-level accuracy of AI models and the need for human interpretability, ensuring that the internal mechanics behind AI decisions can be explained in a comprehensible manner. This is particularly important in fields where AI's decisions have significant implications, such as healthcare, finance, and autonomous driving, where understanding the rationale behind an AI's decision is crucial for trust and accountability. The interest in XAI has surged due to its critical role in various application domains, where the need for transparency and interpretability cannot be overstated. Unlike traditional "black box" AI models, where the decision-making process is opaque and not easily understood, XAI aims to produce models that not only deliver accurate results but also provide insights into their reasoning process. This involves developing AI systems that can explain their decisions in a manner that is interpretable or understandable to humans, addressing key challenges in implementing AI ethics in practice. Research in XAI encompasses techniques for creating interpretable models, such as Local Interpretable Model-Agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP), which aim to provide clarity on how AI models arrive at their decisions. Moreover, XAI includes efforts to develop machine learning classification models based on expressive Boolean formulas, offering a balance between interpretability and complexity, and potentially enabling applications in areas like credit scoring and medical diagnosis. Furthermore, XAI is not limited to enhancing the transparency of AI models but also extends to improving the trust and reliability of AI/ML solutions by providing evidence-based explanations for their predictions, thereby addressing the issue of trust in adopting AI solutions. By applying XAI techniques to various domains, such as Android malware detection, researchers aim to demystify the decision-making processes of machine learning models, thereby fostering a greater understanding and acceptance of AI technologies. In summary, Explainable AI represents a crucial advancement in making AI technologies more transparent, accountable, and trustworthy, by ensuring that the rationale behind AI decisions is accessible and understandable to end-users and stakeholders across various fields.
What is brand personality?
5 answers
Brand personality refers to a set of human-like characteristics associated with brands, influencing consumer perceptions and behaviors. Research suggests that brand personality traits are deeply ingrained in consumers' minds, existing a priori and impacting brand associations. These traits can be captured by brain activity in regions related to reasoning, imagery, and affective processing. Brand personality dimensions like sincerity, competence, and status have been identified as universally relevant across different cultures and contexts, influencing consumer responses to persuasion attempts and brand differentiation strategies. Additionally, brand personality plays a crucial role in creating favorable evaluations of destinations in tourism branding, highlighting the importance of understanding and leveraging these traits for effective brand management.
Why is human assessment critical to the responsible use of generative AI?
5 answers
Human assessment is crucial for the responsible use of generative AI due to its ability to identify biases and ensure accuracy. While generative AI tools like ChatGPT can produce compelling content, concerns about accuracy and reliability persist. Human reviewers play a vital role in evaluating AI-generated content for biases that may not be apparent initially, especially in diverse test populations. Additionally, human evaluation is essential for validating the performance of text-to-image generative models, as automatic measures alone may not align with human perception. By involving human assessment in the evaluation process, developers can mitigate biases, promote transparency, and enhance the trustworthiness of generative AI outputs.
What is loyalty?
5 answers
Loyalty is a multifaceted concept encompassing positive attitudes and behaviors towards a particular entity. It can manifest in various forms such as customer loyalty to a brand, employee loyalty to their organization, or plasma members' loyalty to a core company in a cooperative partnership. Loyalty is often seen as a cohesive force within collectives, yet its ambivalence can lead to exclusion and inequalities. Loyalty programs are designed to enhance customer purchasing behavior through incentives like peer-to-peer point exchanges facilitated by blockchain technology. Overall, loyalty involves commitment, repeated interactions, emotional bonds, and rational components that justify and critique loyalties, making them suitable for social discourse.
What is explainable artificial intelligence?
10 answers
Explainable Artificial Intelligence (XAI) is a paradigm designed to make the decision-making processes of AI systems transparent, understandable, and interpretable to humans. It addresses the challenge of the "black-box" nature of many advanced AI models, which, despite their effectiveness, often operate without providing insights into their internal workings or decision logic. XAI aims to bridge this gap by delivering transparent models and decisions that are easy for non-technical audiences to understand, analyze, and augment, thereby fostering trust and facilitating user interaction with AI systems. This is particularly crucial in high-stake scenarios where understanding the rationale behind AI decisions is essential for acceptance and ethical considerations. The development of XAI involves creating software tools and systems that can explain complex processes in a manner tailored to the needs of individual users, enhancing usability and the quality of explanations beyond what basic XAI systems provide. These explanations can be generated through various methods, including visual and textual presentations, and are designed to cater to different user groups by considering psychological and emotional factors. In specific applications like digital pathology, XAI facilitates a deeper understanding of AI-generated analyses, which is vital for avoiding errors and adverse effects on patients. Moreover, XAI is not limited to a single approach but encompasses a range of techniques suitable for different types of data and applications, including healthcare, where it helps in making sense of complex, sensitive health data. The field is supported by programming techniques and frameworks that assist in the development of XAI-enabled applications, ensuring that AI systems are not only effective but also transparent and accountable. As AI systems become increasingly integrated into everyday life, such as in vehicles, the need for explainability to ensure user understanding and acceptance becomes more pronounced. Through XAI, AI technology becomes more accessible, fostering an environment where users can interact with AI with confidence and understanding.
Youth's ability to discern information?
5 answers
Youth's ability to discern information is influenced by various factors such as cognitive development, digital literacy skills, and information discernment capabilities. Studies show that young individuals may struggle with evaluating the credibility of online information due to their limited life experience and cognitive development, leading to potential challenges in distinguishing between reliable and unreliable sources. Research indicates that those with high levels of information discernment tend to engage with online content more systematically, focusing on relevant textual and graphical information, while those with low levels exhibit a lack of curiosity and may base decisions on incomplete or misleading information. Educational interventions that enhance digital and information literacy skills can promote proactive skepticism among youth, improving their ability to make informed choices when evaluating information sources.
How does media shape public opinion?
5 answers
The media plays a significant role in shaping public opinion by disseminating information and influencing perceptions. Through agenda-setting, priming, and the two-step flow hypothesis, the media initiates conversations, forms opinions, and mobilizes citizens for social change. However, in today's digital landscape, misinformation spread through social media has led to a rise in fact-checking efforts. The public's subjective reactions, emotional responses, and stereotypes can hinder objective analysis of information, impacting public opinion formation. Additionally, the media's role in highlighting events, such as the COVID-19 vaccination program or military operations, can sway public perceptions and attitudes towards various issues. Overall, the media's power to inform, engage, and influence makes it a crucial factor in shaping public opinion.
What are the specific ways in which social media marketing influences consumer behavior?
5 answers
Social media marketing influences consumer behavior in various ways. Firstly, it helps in building awareness, establishing social proof, targeting advertising, leveraging influencer marketing, and engaging with customers in real time. Secondly, social media platforms provide consumers with vast amounts of information, product reviews, and user-generated content, enabling informed purchase decisions and personalized interactions with brands. Additionally, social media removes traditional media barriers, allowing consumers to search, compare, and make decisions online, impacting their purchasing behavior. Moreover, social media exposure influences consumer decision-making through social proof, personalization, and influencer marketing, shaping preferences and buying behavior significantly. Lastly, user sharing on social media platforms positively influences consumers' perceptions of risk, product understanding, and purchase readiness, emphasizing the importance of partnerships with key opinion leaders and brand reputation building.
Is there Any previous studies on quality improvement and training In Medical diagnostic Laboratory?
4 answers
Previous studies have extensively explored quality improvement and training in medical diagnostic laboratories. Research indicates a continuous high-quality improvement trend in clinical laboratory services, with an average score increase from 1981–2000 to 2001–2020, emphasizing the need for ongoing enhancements. In resource-limited settings like Cambodia, in-service training programs have been implemented to enhance laboratory quality management systems towards ISO 15189 accreditation, showcasing significant progress through various training activities. Moreover, the integration of quality improvement into medical training for doctors has been recognized as essential, with recommendations to incorporate evidence-based successful training principles into healthcare improvement curricula for early-career physicians. These studies collectively highlight the importance of training and quality improvement initiatives in ensuring accurate and reliable diagnostic services in medical laboratories.
What is the role of BCCSA in South Africa broadcasting industry?
5 answers
The Broadcasting Complaints Commission of South Africa (BCCSA) plays a crucial role in the South African broadcasting industry. It is responsible for considering complaints related to hate speech and infringement of dignity in the media, providing guidelines for audience members to formulate valid complaints and assisting broadcasters in selecting appropriate material for broadcasts. The BCCSA's involvement highlights the importance of addressing issues of hate speech and dignity in media content, ensuring that broadcasting standards are upheld and promoting responsible broadcasting practices in South Africa. By clarifying concepts, analyzing complaints, and establishing guidelines, the BCCSA contributes to maintaining ethical standards and fostering a respectful and inclusive media environment in the country.