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TwitterDuring a survey carried out in 2024, ** percent of responding consumers from Germany stated that it was important for them that they trusted a brand they purchase or used. In Japan, brand trust was named as an important purchase criterion by ** percent of respondents.
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TwitterAccording to a survey of consumers in the United States carried out between December 2022 and January 2023, approximately ** percent of respondents reported they would gain trust in a company if it was transparent about how they use their personal data. Around ** percent of respondents reported that reducing unnecessary data collection was an additional factor that would help them gain trust in a company or brand.
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TwitterAccording to the survey conducted in the United States in April 2022, over ** percent of consumers who have lost trust in a brand have stopped using it and started using products from its competitors. Another ** percent reported they stopped using a brand and will never use it again. Some ** percent of respondents mentioned continuing to use the brand despite losing trust in it.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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A dataset containing statistics and insights on customer trust and experience from US CX leaders, collected through social media opinions.
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TwitterIn 2022, nearly ** percent of millennials said they were driven to buy a product because it was a trusted brand name. At roughly ** percent, baby boomers were the least likely generation to be convinced to purchase an item for that reason.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Abstract Belonging to the area of research concerning the relationship between consumers and brands, the objective of this study is to investigate the influence of brand power on consumers’ sense of power and the roles of dependency and trust as mediating and moderating variables, respectively, in this relationship. The first hypothesis states that in the presence of brands with high power, consumers will have the perception of low personal power. For a better understanding of this phenomenon, dependence emerges as a mediating variable. The amount of power refers to the degree of dependence between the parties; i.e., brands with high power generate greater dependence and therefore reduce the sense of personal power by the consumer, which increases the asymmetry of power, this statement is the second hypothesis of the study. Finally, research found that trust is an important variable in reducing asymmetry of power. This finding shows that high levels of confidence in the negative effect of brand power, mediated by dependence on personal power, is less intense compared to a low-trust condition. Three experiments were performed that confirm the proposed hypotheses. This research brings a significant advance in understanding the relationship between consumers and brands, and proposes a new model based on the power approach.
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TwitterAccording to a survey conducted in Japan in April 2024, more than ** percent of the respondents stated that their trust in a brand increases after seeing a PR post by an influencer. A ******** of the respondents stated that the trust does not change.
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TwitterDuring a 2020 survey carried out among online shoppers in the United States, ** percent of respondents stated that the price of a product impacted their willingness to trust a brand. Reviews ranked second, named by ** percent.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 59 verified Northern Trust locations in United States with complete contact information, ratings, reviews, and location data.
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Twitterhttps://doi.org/10.17026/fp39-0x58https://doi.org/10.17026/fp39-0x58
Data collected in the context of a paper examining the relation between news source and trust, while considering the moderating role of journalistic values and type of issue the news deals with (politicized/ not politicized). We conducted a survey experiment in the Netherlands and Sweden.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 39 verified Community National Bank & Trust locations in United States with complete contact information, ratings, reviews, and location data.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 36 verified Community Bank & Trust locations in United States with complete contact information, ratings, reviews, and location data.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 29 verified First United Bank & Trust locations in United States with complete contact information, ratings, reviews, and location data.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 25 verified First American Bank and Trust locations in United States with complete contact information, ratings, reviews, and location data.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 41 verified City National Bank & Trust locations in United States with complete contact information, ratings, reviews, and location data.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 1 verified Northern Trust locations in Colorado, United States with complete contact information, ratings, reviews, and location data.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 42 verified Enterprise Bank & Trust locations in United States with complete contact information, ratings, reviews, and location data.
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TwitterFriends and family were the most trusted source of product recommendations according to consumers surveyed in the United States as of March 2024. Nearly ** percent of respondents mentioned the source. Around **** out of 10 customers strongly or somewhat agreed that they trust product recommendations from AI applications, such as ChatGPT and Bard.
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TwitterTrust and credibility: Survey-based trust in information sources, perceived legitimacy of messages, recognition of official identity elements Clarity and comprehension: Comprehension tests, plain-language scores, task success rates for critical journeys Service uptake and cost efficiency: Call volume deflection, digital self-service completion, campaign reach and response, per-message production costs Channel consistency: Compliance rates and time-to-publish Equity of reach: Performance metrics for priority populations and languages
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TwitterFinancial overview and grant giving statistics of First National Bank And Trust Company Of Miami Employees
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TwitterDuring a survey carried out in 2024, ** percent of responding consumers from Germany stated that it was important for them that they trusted a brand they purchase or used. In Japan, brand trust was named as an important purchase criterion by ** percent of respondents.