Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

Be ready for a cookieless internet while capturing anonymous website traffic data!

By installing the resolve pixel onto your website, business owners can start to put a name to the activity seen in analytics sources (i.e. GA4). With capture/resolve, you can identify up to 40% or more of your website traffic. Reach customers BEFORE they are ready to reveal themselves to you and customize messaging toward the right product or service.

This product will include Anonymous IP Data and Web Traffic Data for B2B2C.

Get a 360 view of the web traffic consumer with their business data such as business email, title, company, revenue, and location.

Super easy to implement and extraordinarily fast at processing, business owners are thrilled with the enhanced identity resolution capabilities powered by VisitIQ's First Party Opt-In Identity Platform. Capture/resolve and identify your Ideal Customer Profiles to customize marketing. Identify WHO is looking, WHAT they are looking at, WHERE they are located and HOW the web traffic came to your site.

Create segments based on specific demographic or behavioral attributes and export the data as a .csv or through S3 integration.

Check our product that has the most accurate Web Traffic Data for the B2B2C market.

In 2023, Google's ad revenue amounted to 264.59 billion U.S. dollars. The company generates advertising revenue through its Google Ads platform, which enables advertisers to display ads, product listings and service offerings across Google’s extensive ad network (properties, partner sites, and apps) to web users. Google advertising Advertising accounts for the majority of Google’s revenue, which amounted to a total of 305.63 billion U.S. dollars in 2023. The majority of Google's advertising revenue comes from search advertising. Google market share These revenue figures come as no surprise, as Google accounts for the majority of the online and mobile search market worldwide. As of September 2023, Google was responsible for more than 84 percent of global desktop search traffic. The company holds a market share of more than 80 percent in a wide range of digital markets, having little to no domestic competition in many of them. China, Russia, and to a certain extent, Japan, are some of the few notable exceptions, where local products are more preferred.

The website down checker market is experiencing robust growth, driven by the increasing reliance on online businesses and the critical need for continuous website uptime. The market, estimated at $250 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the expanding e-commerce sector necessitates constant website accessibility to avoid revenue loss and damage to brand reputation. Secondly, the rise of cloud-based services and applications has heightened the demand for reliable uptime monitoring tools. Thirdly, the increasing sophistication of cyberattacks necessitates proactive monitoring to minimize downtime caused by malicious activity. Finally, the growing adoption of diverse website down checkers across various segments, including personal and enterprise use, and across deployment types such as cloud-based and on-premise solutions, contributes significantly to market expansion. The market segmentation reveals a strong preference for cloud-based solutions due to their scalability, cost-effectiveness, and ease of use. The enterprise segment holds a larger market share compared to the personal segment, reflecting the higher reliance on websites for business operations. Geographical distribution shows North America and Europe currently dominating the market, with significant growth potential in Asia Pacific regions fueled by rapid digitalization and expanding internet penetration. However, factors such as the complexity of integrating these checkers into existing IT infrastructure and the availability of free, basic alternatives pose challenges to market expansion. Ongoing technological advancements, however, are expected to mitigate these restraints. The continuous development of more sophisticated monitoring capabilities, including advanced analytics and predictive capabilities, is poised to drive further market expansion in the forecast period.

Report of Website Speed Test Market is currently supplying a comprehensive analysis of many things which are liable for economy growth and factors which could play an important part in the increase of the marketplace in the prediction period. The record of Website Speed Test Industry is providing the thorough study on the grounds of market revenue discuss production and price happened. The report also provides the overview of the segmentation on the basis of area, contemplating the particulars of earnings and sales pertaining to marketplace.

Facebook probably needs no introduction; nonetheless, here is a quick history of the company. The world’s biggest and most-famous social network was launched by Mark Zuckerberg while he was a...

Each year, the City of Boston publishes payroll data for employees. This dataset contains employee names, job details, and earnings information including base salary, overtime, and total compensation for employees of the City.

See the "Payroll Categories" document below for an explanation of what types of earnings are included in each category.

Web Performance Testing Market size was valued at USD 3.22 Billion in 2024 and is projected to reach USD 8.14 Billion by 2031, growing at a CAGR of 8.72% during the forecast period 2024-2031.

Global Web Performance Testing Market Drivers

The market drivers for the Web Performance Testing Market can be influenced by various factors. These may include:

Increased Internet and Mobile Usage: The proliferation of internet users globally and the surge in mobile device usage means that more people are accessing websites and web applications through various devices and networks. This diversity necessitates robust performance testing to ensure a consistent user experience across all platforms. Rising E-commerce and Online Services: The growth of e-commerce and online services demands that websites perform optimally at all times. Slow load times or downtime can directly translate to lost revenue and poor customer satisfaction. Hence, businesses must continuously test and optimize their web performance to remain competitive. User Experience (UX) Focus: Companies are increasingly prioritizing user experience as a key differentiator. A smooth, responsive, and fast website is essential for retaining visitors and enhancing user satisfaction. Performance testing helps in identifying and resolving issues that could hinder UX. SEO and Digital Marketing: Search engines like Google consider page load times and overall web performance as critical factors in their ranking algorithms. Websites that load faster are more likely to rank higher, driving organic traffic and improving visibility. Performance testing ensures websites meet these criteria. Complex Web Applications: Modern web applications often involve complex interactions, real-time updates, and integrations with other services. Ensuring these applications function correctly under various conditions requires comprehensive performance testing. Regulatory Requirements: Several industries are subject to regulatory requirements that mandate specific performance standards for websites, particularly for accessibility and user data protection. Compliance necessitates regular performance testing. Competitive Pressure: In a crowded digital marketplace, even minor performance improvements can provide a competitive edge. Companies invest in performance testing to stay ahead of or keep up with competitors. Technology Advancements: Innovations in web technologies (like Progressive Web Apps, Single Page Applications, etc.) necessitate new and improved testing methodologies. The adoption of these new technologies requires businesses to adapt and enhance their performance testing strategies. Cloud Adoption: The increasing use of cloud services and decentralized architectures facilitates scalability but also introduces performance variability. Cloud-based web performance testing tools are essential to monitor and optimize performance in such environments. Customer Expectations: The modern consumer expects instantaneous access to information and services. Even slight delays can result in frustration and abandonment. Meeting these heightened customer expectations is a major driver for continuous web performance testing. A/B Testing and Optimization: Businesses frequently use A/B testing to optimize website elements for conversion improvements. Performance testing ensures that these optimizations do not negatively impact load times or responsiveness. Emerging Markets and Global Reach: As businesses expand globally, they must ensure their websites perform well across different geographies, which may have varied network conditions and device usage patterns. Performance testing is crucial for maintaining a global online presence.

Our Web Data dataset includes such data points as company name, location, headcount, industry, and size, among others. It offers extensive fresh and historical data, including even companies that operate in stealth mode.

For lead generation

With millions of companies worldwide, Web Company Database helps you filter potential clients based on custom criteria and speed up the conversion process.

Use cases

1. Filter potential clients according to location, size, and other criteria
2. Enrich your existing database
3. Improve conversion rates
4. Use predictive models to identify potential leads
5. Group your leads in segments for more accurate targeting

For market and business analysis

Our Web Company Data provides information about millions of companies, allowing you to find your competitors and see their weaknesses and strengths.

Use cases

1. Pinpoint your competitors
2. Learn about your competitors' size, headcount, and revenue
3. Prepare a data-driven plan for the next quarter

For Investors

We recommend B2B Web Data for investors to discover and evaluate businesses with the highest potential.

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global B2B Web Dataset.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies hungry for the next investment
3. Check if a startup is about to reach the next maturity phase
4. Identify and predict a startup's potential at the founding moment
5. Choose companies that fit you in terms of size and headcount

For sales prospecting

B2B Web Database saves time your employees would otherwise use to search for potential clients manually.

Use cases

1. Make a short list of the top prospects
2. Define which companies are large or small enough to buy your product
3. Based on the revenue, determine which companies are ready to convert
4. Sort the companies by their distance from your warehouse to draw a line where selling won't result in satisfactory profit

This dataset is no longer actively updated and is replaced by https://citydata.mesaaz.gov/Office-of-Management-and-Budget/City-Revenues/ntuh-v7ru/about_data.

Listing of all City revenues per department. This data includes transactions received by check and cash. Includes record date, customer, amount and the accounting string that describes which fund and organizational department benefited from the transaction. The data contained on this website is for informational purposes only and represents revenue transactions of the City of Mesa. The data includes transactions received by check and cash. The data as represented is unaudited and may contain omissions. For audited financial statements please reference the Comprehensive Annual Financial Report (CAFR). Certain Mesa customer names have been redacted for confidentiality and safety issues; therefore not all customer names are represented. Certain Activity assignments may change mid-year. This year-to-date information is updated monthly and represents the most current activity assignment regardless of the assignment at the time of the transaction.

App Revenue Key StatisticsMobile Ad SpendApp and Game RevenuesiOS App and Game RevenueGoogle Play App and Game RevenueGaming App RevenuesiOS Gaming App RevenueGoogle Play Gaming App RevenueApp...

Listing of all City revenues per department. This data includes transactions received by check and cash. Includes record date, customer, amount and the accounting string that describes which fund and organizational department benefited from the transaction. The data contained on this website is for informational purposes only and represents revenue transactions of the City of Mesa. The data includes transactions received by check and cash. The data as represented is unaudited and may contain omissions. For audited financial statements please reference the Comprehensive Annual Financial Report (CAFR). Certain Mesa customer names have been redacted for confidentiality and safety issues; therefore not all customer names are represented. Certain Activity assignments may change mid-year. This year-to-date information is updated monthly and represents the most current activity assignment regardless of the assignment at the time of the transaction.

In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

This dataset contains the list of sales tax licenses, exemption and wholesaler certificates as maintained by the Department of Revenue (DOR) that are active. For the purposes of this dataset, active status indicates vendors that currently have filing requirements with DOR, as well as valid exemption and wholesaler certificates. This list is intended to be refreshed monthly, removing the licenses that are cancelled or expire without renewal, and adding new licenses once they are approved. The addresses provided are supposed to be the physical location where the taxable sales happen or taxable service provided. The DOR generally does not validate the location address, so there may be misspelled items. Sales, use and hotel occupancy tax licenses must be prominently displayed at the place of business, at each location, photocopies are acceptable. This list also contains exempt organizations that have a current valid exemption number issued by the Department. Exemption numbers must be provided on exemption certificates when purchasing items or services that would be otherwise taxable. For the taxpayer’s convenience, the Department of Revenue allows taxpayers to either report each location’s sales under a unique license number, or consolidate the entire entity’s sales under a single license number. For that reason, you may see some large chains appear to have only one license, where others have multiple licenses. Similarly, you will find licenses/certificates with out of state addresses provided by the applicant. In order to reduce fraud, a portion of the license number / exemption certificate number was masked. If you suspect someone is selling taxable items, providing a taxable service or otherwise not remitting sales tax, use this link to Report Tax Fraud. Tips can be left anonymously, but supporting documentation is helpful. More information about licenses & certificates: PA Code, Article II Sales & Use Tax. PA Department of Revenue website: https://www.revenue.pa.gov.
Common questions: • Why are there out of state/out of country licenses? We allow taxpayers to photocopy licenses, so taxpayers could keep the original license where their records are kept, and post a copy in each PA location. Another reason would be mail order or delivery-based companies. These companies do not maintain a PA address, but could ship to PA or travel into PA to deliver their taxable product or perform their taxable service. • Does this list contain every volunteer fire company in PA? Only if the volunteer fire company applied for an exemption certificate to purchase items without paying sales tax. An exempt entity that does not hold an exemption certificate could pay the sales tax on the purchase, then file a petition for refund on the tax paid. • What is a “transient vendor”? In general, someone who temporarily brings taxable items into PA for retail sale, but does not maintain a location. For a more detailed definition, see the PA Code link above. • What is a “wholesaler certificate”? A wholesale certificate allows sales of otherwise taxable items at the wholesale level; they are not permitted to sell anything at retail. The tax will be collected when the item is sold at retail. Wholesaler certificates are issued primarily to manufacturers and distributors.

In 2023, Meta Platforms had a total annual revenue of over 134 billion U.S. dollars, up from 116 billion in 2022. LinkedIn reported its highest annual revenue to date, generating over 15 billion USD, whilst Snapchat reported an annual revenue of 4.6 billion USD.

Global Revenue Cycle Management Software market size is expected to reach $98.63 billion by 2029 at 11.8%, surge in hospital and outpatient visits fuels revenue cycle management software market growth

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2008-2012 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The methodology for calculating median income and median earnings changed between 2008 and 2009. Medians over $75,000 were most likely affected. The underlying income and earning distribution now uses $2,500 increments up to $250,000 for households, non-family households, families, and individuals and employs a linear interpolation method for median calculations. Before 2009 the highest income category was $200,000 for households, families and non-family households ($100,000 for individuals) and portions of the income and earnings distribution contained intervals wider than $2,500. Those cases used a Pareto Interpolation Method..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2008-2012 American Community Survey

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns..Explanation of Symbols:.An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2010 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The Class of Worker status "unpaid family workers" may have earnings. Earnings reflect any earnings from all jobs held during the 12 months prior to the ACS interview. The Class of Worker status reflects the job or business held the week prior to the ACS interview, or the last job held by the respondent..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2010 American Community Survey

The household incomes chart shows how many household fall in each of the income brackets specified by Statistics Canada.

These are the Airbnb statistics on gross revenue by country.