According to a survey conducted among marketers in the United States in March 2022, ** percent of respondents said they used intent data to deliver targeted ad content, while ** percent said they used it for email marketing. This was followed by ** percent of respondents stating they used intent data for marketing personalization.

ConversionRateLift: Improved when intent is present vs not OpportunityCreationSpeed: Faster when intent is present vs not CostPerOpportunity: Lower when intent is present vs not

The B2B Buyer Intent Data Tools market has emerged as a vital component in the realm of business-to-business marketing, evolving significantly over the past few years. These tools empower organizations to identify and understand the behaviors and intentions of potential buyers, allowing for more targeted and effecti

Intent Llc recorded an import turnover of USD 164,629.26 million and an export turnover of USD 0 between October 2023 and September 2024. Explore detailed trade value insights, supply chain analytics, HS code-wise data, shipment history, partner countries, customs trade values, top import and export commodities with pricing, buyers, suppliers, ports, and key competitors in Russia.

The Buyer Intent Tools market is experiencing a remarkable transformation, characterized by rapid growth and evolving technologies that cater to the needs of both businesses and consumers. These tools are designed to analyze potential buyers' behaviors, preferences, and engagement levels, enabling organiza...

The Buyer Intent Software market is increasingly becoming a focal point for businesses looking to understand and harness consumer behavior in an ever-evolving digital landscape. This innovative category of software is designed to analyze online user activity and determine potential purchasing intentions, a...

Leading Indicators: search visibility, ungated content engagement, repeat visits, event attendance quality Mid-Funnel Quality: content progression by role, intent signals, meeting requests Pipeline Linkage: opportunity influence, stage progression velocity, deal quality, consensus depth Revenue Efficiency: sourced and influenced pipeline, win rate, cost per quality demand, budget-to-pipeline ratio

On December 20 2021, all estimates and standard errors for 2017–2018 were revised in this table to correct programming errors. Data on initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Due to a change in national medical data coding standards in 2015, from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to the ICD-10-CM, the definition for injuries and injury subcategories changed for the 2017 reporting period and beyond. Results from 2017 and subsequent years should not be compared with previous reporting periods. Any observed changes in trends across this transition period should not be considered. Data for 2016 are not included. Additional information regarding injury definitions and categorization of injuries by mechanism and intent of injury is available at: https://www.cdc.gov/nchs/injury/injury_tools.htm. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version. SOURCE: NCHS, National Hospital Ambulatory Medical Care Survey. For more information on the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.

Intent Bd recorded an import turnover of USD 62,207.95 million and an export turnover of USD 0 between January 2025 and December 2025. Explore detailed trade value insights, supply chain analytics, HS code-wise data, shipment history, partner countries, customs trade values, top import and export commodities with pricing, buyers, suppliers, ports, and key competitors in Bangladesh.

ConversionImprovement: Higher than with firmographics or intent alone CycleSpeed: Faster than without technographic segmentation DataSources: Surveys, web signal detection, reputable providers

The Australian Organ Donor Register (AODR) is the national register for people to record their decision about becoming an organ and tissue donor. People must be 16 years or older to register. \r \r The AODR is administered by the Australian Government Department of Human Services. Read more about the Australian Organ Donor Register on the Department of Human Services website. \r \r AODR statistics are published monthly. The statistics provide the number of people who have registered their decision in regards to organ and tissue donation on the AODR by age group, state and gender. These statistics are further provided as a percentage of the Australian population using ABS Statistics. \r \r \r \r \r Two reports are provided: \r \r Consent registrations: A legally valid consent registration refers to people who have registered by a signed consent form. Only people aged 18 years and over can register their legally valid consent on the Australian Organ Donor Register. Those aged 16-17 years can still register their intention to donate. \r \r Intent registrations: Intent registrations refers to people or have registered their intent to donate or their objection online or by phone, they have not signed a consent form.\r \r Data is provided in the following formats: \r \r Excel/ XLS/ XLSX: The human readable data for the current year (2016) is provided in an individual excel file for consent registrations and an individual excel file for intent registrations. Historical registration data (2007-2015) may be found in the relevant zipped excel files. \r \r CSV: Due to the volume of data, the current (2016) and historical (2007-2015) machine readable files for consent registrations and intent registrations may be found in the relevant zipped files. \r \r If you require statistics at a more detailed level, please contact statistics@humanservices.gov.au detailing your request. The Department of Human Services charges on a cost recovery basis for providing more detailed statistics and their provision is subject to privacy considerations. \r \r \r \r \r \r \r \r Disclaimer:\r \r This data is provided by the Department of Human Services (Human Services) for general information purposes only. While Human Services has taken care to ensure the information is as correct and accurate as possible, we do not guarantee, or accept legal liability whatsoever arising from, or connected to its use.\r \r We recommend that users exercise their own skill and care with respect to the use of this data and that users carefully evaluate the accuracy, currency, completeness and relevance of the data for their needs. \r \r

During a 2023 survey carried out among media strategists, planners and buyers from North America who worked on programmatic campaigns, it was found that behavioral and interest/intent data were third-party data types used most in digital advertising campaigns, both named by ** percent of respondents. Demo and lifestyle data followed, mentioned by ** and ** percent, respectively.

From October to November 2024, approximately **** percent of search queries on Google were navigational, when users seek specific websites. Alternatively, more than ** percent of the intent on ChatGPT was informational, when users look for answers or data. On the other hand, the percentage of transactional and commercial queries stayed practically the same on both platforms.

Federal contract opportunity data for Notice of Intent to Sole Source - Nationally Recognized Statistics Rating Organization Subscription - S&P Ratings Direct, posted by DEPT OF DEFENSE in the Credit Bureaus sector. Sourced from SAM.gov federal procurement database.

The Intent-Based Networking (IBN) Technology market represents a transformative shift in how organizations manage and optimize their networks. With the increasing complexity of network infrastructures and the demand for more agile and efficient operations, IBN has emerged as a solution that bridges the gap between b

This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances. REFERENCES 1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.

LeadingIndicators: High-intent questions in chats and DMs, repeated saves/shares of explainer content, inbound messages requesting specific information MidFunnelMetrics: Qualified information requests, scheduled and kept appointments, ASVAB show and pass rates, MEPS show rates, medical clearance progression BottomFunnelOutcomes: Contracts signed, training ship dates, and accessions

This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2).

Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death.

SOURCES

CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics. ICD–10: External cause of injury mortality matrix.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.

4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.

AD: Intentional Homicides: Female: per 100,000 Female data was reported at 2.511 Ratio in 2008. AD: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 2.511 Ratio from Dec 2008 (Median) to 2008, with 1 observations. The data reached an all-time high of 2.511 Ratio in 2008 and a record low of 2.511 Ratio in 2008. AD: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Social: Health Statistics. An intentional homicide is defined as an unlawful death inflicted upon a person with the intent to cause death or serious injury.;UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC);Aggregate values are computed by UNODC. For additional information, please see the UNODC website: https://dataunodc.un.org/sites/dataunodc.un.org/files/metadata_intentional_homicide.pdf;

AD: Intentional Homicides: per 100,000 People data was reported at 2.585 Ratio in 2020. This records an increase from the previous number of 1.286 Ratio for 2011. AD: Intentional Homicides: per 100,000 People data is updated yearly, averaging 1.198 Ratio from Dec 2004 (Median) to 2020, with 4 observations. The data reached an all-time high of 2.585 Ratio in 2020 and a record low of 1.198 Ratio in 2008. AD: Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Andorra – Table AD.World Bank.WDI: Social: Health Statistics. An intentional homicide is defined as an unlawful death inflicted upon a person with the intent to cause death or serious injury.;UNODC Research - Data Portal – Intentional Homicide, UN Office on Drugs and Crime (UNODC);Aggregate values are computed by UNODC. For additional information, please see the UNODC website: https://dataunodc.un.org/sites/dataunodc.un.org/files/metadata_intentional_homicide.pdf;