During a 2021 survey carried out among professionals from various industries in the United States, ** percent of respondents stated that brand guidelines were well-known and used by most of their organizations. On the other hand, ** percent of interviewees said their organizations did not have any brand guidelines.
Between the second half of 2019 and the first half of 2020, the loved brand on social media was Instagram. The social media platform had accumulated a total of 108.7 million "love" mentions across 104.7 million posts, generating 722 billion potential impressions and over two billion total engagements during the measured time frame. Second-ranked Amazon only generated 27.3 million "love" mentions.
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This study empirically investigates how brands’ responses to competitors’ advertising actions change over the business cycle. Marketing data was made available by Prometheus, a brand performance tracker developed by Kantar Worldpanel. They cover marketing activity of 153 brands (including 15 private labels) manufactured by 27 different suppliers in six categories (bath gel, bottled water, dairy, laundry detergent, milk, and soft drink) sold in the Spanish CPG market. The data are available for 130 four-week periods from 2001 to 2010. Apart from advertising and promotion variables, for each brand, the dataset includes a survey-based metric on brand awareness over time, expressed as the percentage of respondents who indicated they know the brand, and data on brand price, or the price paid per unit (e.g., kilos, liters) by consumers in each period. This data is supplemented with data on the economic activity in Spain from the Organisation for Economic Co-operation and Development (OECD) - composite leading indicators available at: https://www.oecd.org/en/data/datasets/oecd-composite-leading-indicators-clis.html. This replication package contains scripts to replicate the results of a study that quantifies the advertising activity of the brands in Spain. The proprietary brand data from Kantar Worldpanel are not included in the data package because the company does not allow this.
Old Navy was the most well-known fashion store in the U.S. in 2024. It was recognized by 92 percent of internet users in the United States. The second spot on this list is occupied by JCPenney with a brand awareness of 91 percent, followed by Macy's, and Kohl's, as they incorporate a brand awareness of 90 and 89 percent, respectively.For this study, brand awareness was surveyed employing the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name. Interested in more detailed results covering all brands of this ranking and many more? Explore GCS Brand Profiles. These statistics show results of the Brand KPI survey.
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CZ: Start-Up Procedures to Register a Business: Female data was reported at 9.000 Number in 2019. This stayed constant from the previous number of 9.000 Number for 2018. CZ: Start-Up Procedures to Register a Business: Female data is updated yearly, averaging 9.000 Number from Dec 2003 (Median) to 2019, with 17 observations. The data reached an all-time high of 10.000 Number in 2007 and a record low of 8.000 Number in 2017. CZ: Start-Up Procedures to Register a Business: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.WDI: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.
In 2023, the median weekly brand posts on social media app Instagram was 4.7 posts. Overall, sports teams added an average of 18 posts weekly to the social network, while media brands generated an average of 12.2 posts. Additionally, retail brands posted on average 5.7 times per week, whilst fashion brands posted 6.1 times per week.
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AE: Time to Resolve Insolvency data was reported at 3.200 Year in 2017. This stayed constant from the previous number of 3.200 Year for 2016. AE: Time to Resolve Insolvency data is updated yearly, averaging 3.200 Year from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 3.200 Year in 2017 and a record low of 3.200 Year in 2017. AE: Time to Resolve Insolvency data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank: Company Statistics. Time to resolve insolvency is the number of years from the filing for insolvency in court until the resolution of distressed assets.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
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Data related to survey made to achieve researcher questions
During a 2022 survey carried out among consumers who purchased something online in the past six months from various countries across the globe, ** percent stated they believed that trustworthiness and transparency were the most important traits of a brand, dominating all other traits. A year earlier, the share stood at ** percent.
Financial overview and grant giving statistics of Black Brand
Consumer-based survey responders of the brands to which they are most loyal. From acne products to baby wipes, coffee to pet food, this file has the most responsive data from consumers who respond to Direct to Consumer (DTC) offers. Compiled using a variety of surveying techniques including point of purchase surveying as part of the check out process. 30-day hotline available to ensure the freshest information possible.
Fields Include but are not limited to: Product Categories - Acne Products - Tooth Whiteners - Allergy/Cold Remedies - Baby Wipes - Dog Treats - Imported Beer - Energy Bars - Meat Alternatives -Product Brands, such as: - L'Oreal Paris - Crest - Pepcid - Tylenol - Pampers - Purina - Meow Mix - Budweiser - Keurig - Beyond Meat - Recency of purchase - Email
Competitive Pricing - Available for transactional orders. Yearly data licenses available for unlimited use cases, including marketing and analytics.
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Ivory Coast CI: Start-Up Procedures to Register a Business data was reported at 4.000 Number in 2017. This stayed constant from the previous number of 4.000 Number for 2016. Ivory Coast CI: Start-Up Procedures to Register a Business data is updated yearly, averaging 10.000 Number from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 11.000 Number in 2006 and a record low of 4.000 Number in 2017. Ivory Coast CI: Start-Up Procedures to Register a Business data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ivory Coast – Table CI.World Bank: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.
Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.
Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.
Why Choose Success.ai?
Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.
Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:
Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.
Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.
From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.
Key Use Cases:
During a 2024 survey carried out among consumers from the United States, ** percent of respondents cited news about promotions, sales, and discounts as the main reason for following brands on social media. Another ** percent mentioned learning about new products or product updates as a reason for following a brand's account.
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United States US: Cost of Business Start-Up Procedures: % of GNI per Capita data was reported at 1.100 % in 2017. This stayed constant from the previous number of 1.100 % for 2016. United States US: Cost of Business Start-Up Procedures: % of GNI per Capita data is updated yearly, averaging 1.100 % from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 1.200 % in 2014 and a record low of 1.100 % in 2017. United States US: Cost of Business Start-Up Procedures: % of GNI per Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Company Statistics. Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
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LT: Average Time to Clear Exports Through Customs data was reported at 1.400 Day in 2013. This records a decrease from the previous number of 2.400 Day for 2009. LT: Average Time to Clear Exports Through Customs data is updated yearly, averaging 2.300 Day from Dec 2002 (Median) to 2013, with 5 observations. The data reached an all-time high of 3.300 Day in 2004 and a record low of 1.400 Day in 2013. LT: Average Time to Clear Exports Through Customs data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Lithuania – Table LT.World Bank.WDI: Company Statistics. Average time to clear exports through customs is the average number of days to clear direct exports through customs.; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;
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China Automobile: Sales: Year to Date: Sedan: by Brand's Country: German Brand data was reported at 515,993.000 Unit in Mar 2025. This records an increase from the previous number of 303,457.000 Unit for Feb 2025. China Automobile: Sales: Year to Date: Sedan: by Brand's Country: German Brand data is updated monthly, averaging 1,562,861.000 Unit from Jul 2011 (Median) to Mar 2025, with 165 observations. The data reached an all-time high of 3,879,773.000 Unit in Dec 2018 and a record low of 162,300.000 Unit in Jan 2012. China Automobile: Sales: Year to Date: Sedan: by Brand's Country: German Brand data remains active status in CEIC and is reported by China Association of Automobile Manufacturers. The data is categorized under China Premium Database’s Automobile Sector – Table CN.RAB: Automobile Sales: By Brand's Country.
This dataset provides information about the number of properties, residents, and average property values for Brand Boulevard cross streets in Glendale, CA.
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IT: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms data was reported at 1.300 NA in 2019. IT: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms data is updated yearly, averaging 1.300 NA from Dec 2019 (Median) to 2019, with 1 observations. The data reached an all-time high of 1.300 NA in 2019 and a record low of 1.300 NA in 2019. IT: Number of Visits or Required Meetings with Tax Officials: Average for Affected Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank.WDI: Company Statistics. Average number of visits or required meetings with tax officials during the year. The value represents the average number of visits for all firms which reported being visited or required to meet with tax officials (please see indicator IC.FRM.METG.ZS).;World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).;Unweighted average;
During a 2021 survey carried out among professionals from various industries in the United States, ** percent of respondents stated that brand guidelines were well-known and used by most of their organizations. On the other hand, ** percent of interviewees said their organizations did not have any brand guidelines.