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• Global Coverage: With data spanning 195 countries, Success.ai delivers profiles that include crucial contact details like email addresses, phone numbers, and physical addresses.
• Tailored Data Solutions: Adapted to your specific business needs, our data sets include B2B contact data, phone number data, email address data, address data, and small business contact data.
• Real-Time Accuracy: Continuously updated to maintain the utmost accuracy and relevance, helping you make informed decisions swiftly.
• Compliance and Ethics: Our data collection and processing are fully compliant with global standards, ensuring ethical usage across all business practices.
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Key Use Cases:

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• Sales Enhancement: Utilize verified contact details to reach decision-makers and close deals more effectively.
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These are the fields available within the RampedUp Global dataset.

CONTACT DATA: Personal Email Address - We manage over 115 million personal email addresses Professional Email - We manage over 200 million professional email addresses Home Address - We manage over 20 million home addresses Mobile Phones - 65 million direct lines to decision makers Social Profiles - Individual Facebook, Twitter, and LinkedIn Local Address - We manage 65M locations for local office mailers, event-based marketing or face-to-face sales calls.

JOB DATA: Job Title - Standardized titles for ease of use and selection Company Name - The Contact's current employer Job Function - The Company Department associated with the job role Title Level - The Level in the Company associated with the job role Job Start Date - Identify people new to their role as a potential buyer

EMPLOYER DATA: Websites - Company Website, Root Domain, or Full Domain Addresses - Standardized Address, City, Region, Postal Code, and Country Phone - E164 phone with country code Social Profiles - LinkedIn, CrunchBase, Facebook, and Twitter

FIRMOGRAPHIC DATA: Industry - 420 classifications for categorizing the company’s main field of business Sector - 20 classifications for categorizing company industries 4 Digit SIC Code - 239 classifications and their definitions 6 Digit NAICS - 452 classifications and their definitions Revenue - Estimated revenue and bands from 1M to over 1B Employee Size - Exact employee count and bands Email Open Scores - Aggregated data at the domain level showing relationships between email opens and corporate domains. IP Address -Company level IP Addresses associated to Domains from a DNS lookup

CONSUMER DATA: Education - Alma Mater, Degree, Graduation Date Skills - Accumulated Skills associated with work experience
Interests - Known interests of contact Connections - Number of social connections. Followers - Number of social followers

Download our data dictionary: https://rampedup.io/our-data

Finding clean, high-quality B2B contact data shouldn't feel like going to the dentist. We make it easy for companies of all sizes, ranging from startups to enterprises globally to access high-quality B2B contact data, lead data, and business contact data for any company, any industry, and any job title.

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Company phone numbers and email addresses sourced from publicly available information on official websites, providing reliable, up-to-date contact details.

Number of Mobile Phones: per 100 Households: CF: Smolensk Region data was reported at 365.000 Unit in 2022. This records an increase from the previous number of 120.000 Unit for 2021. Number of Mobile Phones: per 100 Households: CF: Smolensk Region data is updated yearly, averaging 134.000 Unit from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 365.000 Unit in 2022 and a record low of 5.000 Unit in 2002. Number of Mobile Phones: per 100 Households: CF: Smolensk Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB020: Number of Household Goods per 100 Household: Mobile Phone.

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US B2B Contact Database | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON Elevate your sales and marketing efforts with America's most comprehensive B2B contact data, featuring over 200M+ verified records of decision-makers, from CEOs to managers, across all industries. Powered by AI and refreshed bi-weekly, this dataset ensures you have access to the freshest, most accurate contact details available for effective outreach and engagement.

Key Features & Stats:

200M+ Decision-Makers: Includes C-level executives, VPs, Directors, and Managers.

95% Accuracy: Email & Phone numbers verified for maximum deliverability.

Bi-Weekly Updates: Never waste time on outdated leads with our frequent data refreshes.

50+ Data Points: Comprehensive firmographic, technographic, and contact details.

Core Fields:

Direct Work Emails & Personal Emails for effective outreach.

Mobile Phone Numbers for cold calls and SMS campaigns.

Full Name, Job Title, Seniority for better personalization.

Company Insights: Size, Revenue, Funding data, Industry, and Tech Stack for a complete profile.

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US Business Contacts | B2B Email Database | Sales Leads | CRM Enrichment | Verified Phone Numbers | ABM Data | CEO Contact Data | US B2B Leads | US prospects data

Data set of phone numbers for state-of-the-art businesses, municipalities and county authorities. It is intended to be used together with the data set of the units of public administration. This dataset is part of several data sets about public enterprises. The data sets are referred to as the agency base and were previously on Norge.no. They contain an overview of public enterprises, i.e. government agencies and enterprises’ central, regional and local units, county municipalities and municipalities. Data sets are not updated. The data sets contain information about the name of the enterprise, visiting address, postal address, telephone number, e-mail address, web address (URL), map coordinates (position), coverage (which municipalities the business covers), organisation number, overarching activity, type of organisation, type of affiliation (the way in which an enterprise is linked to the executive government) and quality assessments of the website. Look up on the keyword/tag agency base to see the other datasets. The establishment base is closed and is no longer maintained by the Directorate of Digitalisation (formerly Difi). The datasets were last updated in January 2012. Note that this does not mean that all data was updated in January 2012, but that the last changes were made at that time. Reference to the source When using this dataset, we ask that the source be referred to as follows (cf the NLOD license): The service is based on open data sets from the Directorate of Digitalisation and is subject to the Norwegian License for Public Data (NLOD). The data was last updated in 2012 and is no longer maintained by the Directorate of Digitalisation.

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911 Public Safety Answering Point (PSAP) service area boundaries in New Mexico According to the National Emergency Number Association (NENA), a Public Safety Answering Point (PSAP) is a facility equipped and staffed to receive 9-1-1 calls. The service area is the geographic area within which a 911 call placed using a landline is answered at the associated PSAP. This dataset only includes primary PSAPs. Secondary PSAPs, backup PSAPs, and wireless PSAPs have been excluded from this dataset. Primary PSAPs receive calls directly, whereas secondary PSAPs receive calls that have been transferred by a primary PSAP. Backup PSAPs provide service in cases where another PSAP is inoperable. Most military bases have their own emergency telephone systems. To connect to such system from within a military base it may be necessary to dial a number other than 9 1 1. Due to the sensitive nature of military installations, TGS did not actively research these systems. If civilian authorities in surrounding areas volunteered information about these systems or if adding a military PSAP was necessary to fill a hole in civilian provided data, TGS included it in this dataset. Otherwise military installations are depicted as being covered by one or more adjoining civilian emergency telephone systems. In some cases areas are covered by more than one PSAP boundary. In these cases, any of the applicable PSAPs may take a 911 call. Where a specific call is routed may depend on how busy the applicable PSAPS are (i.e. load balancing), operational status (i.e. redundancy), or time of date / day of week. If an area does not have 911 service, TGS included that area in the dataset along with the address and phone number of their dispatch center. These are areas where someone must dial a 7 or 10 digit number to get emergency services. These records can be identified by a "Y" in the [NON911EMNO] field. This indicates that dialing 911 inside one of these areas does not connect one with emergency services. This dataset was constructed by gathering information about PSAPs from state level officials. In some cases this was geospatial information, in others it was tabular. This information was supplemented with a list of PSAPs from the Federal Communications Commission (FCC). Each PSAP was researched to verify its tabular information. In cases where the source data was not geospatial, each PSAP was researched to determine its service area in terms of existing boundaries (e.g. city and county boundaries). In some cases existing boundaries had to be modified to reflect coverage areas (e.g. "entire county north of Country Road 30"). However, there may be cases where minor deviations from existing boundaries are not reflected in this dataset, such as the case where a particular PSAPs coverage area includes an entire county, and the homes and businesses along a road which is partly in another county. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics.

Number of Mobile Phones: per 100 Households: NW: Leningrad Region data was reported at 247.000 Unit in 2022. This records an increase from the previous number of 26.000 Unit for 2021. Number of Mobile Phones: per 100 Households: NW: Leningrad Region data is updated yearly, averaging 131.500 Unit from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 247.000 Unit in 2022 and a record low of 1.000 Unit in 2001. Number of Mobile Phones: per 100 Households: NW: Leningrad Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB020: Number of Household Goods per 100 Household: Mobile Phone.

No of Cell Phone User: Male: Age 60 Years and More data was reported at 8,834.890 Person th in 2017. This records an increase from the previous number of 8,187.283 Person th for 2016. No of Cell Phone User: Male: Age 60 Years and More data is updated yearly, averaging 8,511.086 Person th from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 8,834.890 Person th in 2017 and a record low of 8,187.283 Person th in 2016. No of Cell Phone User: Male: Age 60 Years and More data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Transport and Telecommunication Sector – Table BR.TB010: Number of Cell Phone User: by Sex and Age.

Number of Mobile Phones: per 100 Households: NW: Pskov Region data was reported at 292.000 Unit in 2022. This records an increase from the previous number of 113.000 Unit for 2021. Number of Mobile Phones: per 100 Households: NW: Pskov Region data is updated yearly, averaging 170.000 Unit from Dec 2001 (Median) to 2022, with 22 observations. The data reached an all-time high of 292.000 Unit in 2022 and a record low of 1.000 Unit in 2001. Number of Mobile Phones: per 100 Households: NW: Pskov Region data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HB020: Number of Household Goods per 100 Household: Mobile Phone.

The global Virtual Business Phone Number Software market is experiencing robust growth, driven by the increasing adoption of cloud-based communication solutions and the rising need for enhanced business mobility and scalability. The market's expansion is fueled by several key factors, including the cost-effectiveness of virtual numbers compared to traditional phone systems, the seamless integration with existing CRM and business applications, and the improved accessibility and communication capabilities they offer to businesses of all sizes. Businesses are increasingly choosing virtual numbers to manage multiple locations, improve customer service, and enhance brand reputation through personalized communication strategies. The market is segmented by application (e.g., customer service, sales, marketing) and type (e.g., local, toll-free, vanity numbers), with a high degree of overlap and convergence among these categories as the technology evolves. Competition is intense, with established players like Zoom, Microsoft, and Cisco vying for market share alongside emerging innovative providers offering specialized features and targeted solutions. We estimate the market size in 2025 to be approximately $15 billion, with a Compound Annual Growth Rate (CAGR) of 15% projected through 2033. This growth is anticipated to be propelled by ongoing technological advancements, increasing mobile penetration, and the expanding adoption of unified communications as a service (UCaaS) platforms. Geographic distribution is widespread, with North America and Europe currently holding the largest market shares due to high technology adoption and established business infrastructure. However, rapid growth is expected in the Asia-Pacific region fueled by increasing digitalization and economic expansion in countries like India and China. While the market presents significant opportunities, challenges include the need for robust security measures to protect sensitive customer data and the ongoing complexities related to international regulations and compliance. Furthermore, market penetration continues to be influenced by factors such as digital literacy among smaller businesses and the cost of implementation. The market is predicted to consolidate further as larger players continue to acquire smaller companies, leading to an evolution of offerings and a shift toward comprehensive communication platforms.

Success.ai’s Oil & Gas Data with B2B CEO Contact Data for Global Energy Sector Executives offers businesses a powerful solution to connect with key decision-makers, influencers, and industry leaders across the energy spectrum. Drawing from over 170 million verified professional profiles, this dataset includes work emails, phone numbers, and enriched profiles of executives in oil and gas, renewable energy, utilities, and other energy-related sectors. Whether you’re targeting CEOs, operations managers, or sustainability directors, Success.ai ensures that you have the accurate and relevant information needed for effective outreach and strategic engagement.

Why Choose Success.ai’s Energy Sector Executive Data?

1. Comprehensive Contact Information
2. Access verified work emails, direct phone numbers, and LinkedIn profiles for executives and decision-makers in the global energy industry.

3. AI-driven validation ensures 99% accuracy, providing reliable data for sales, marketing, and partnership initiatives.

4. Global Reach Across Energy Verticals

5. Includes profiles of leaders in oil and gas, renewable energy, utilities, nuclear power, and emerging energy technologies.

6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East, helping you connect with executives in established and emerging markets.

7. Continuously Updated Datasets

8. Real-time updates keep your data current, ensuring that your outreach remains timely, relevant, and competitive in a rapidly evolving industry.

9. Ethical and Compliant

10. Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring that all outreach and engagement strategies are ethically sourced and legally compliant.

Data Highlights

• 170M+ Verified Professional Profiles: Includes energy sector executives, managers, and thought leaders worldwide.
• 50M Work Emails: AI-validated for precise and effective communication.
• 30M Company Profiles: Deep insights into energy companies and their key personnel for informed targeting.
• 700M Global Professional Profiles: Enriched datasets to support comprehensive, scalable business strategies.

Key Features of the Dataset:

1. Energy Sector Decision-Maker Profiles
2. Identify and engage with C-suite executives, operations managers, sustainability directors, and other key influencers in the energy sector.

3. Connect with professionals who shape policy, direct investments, and lead initiatives in traditional and renewable energy fields.

4. Advanced Filters for Precision Targeting

5. Filter by industry segment (oil, gas, wind, solar, hydro, nuclear), company size, geographic location, and specific roles to focus your outreach on relevant contacts.

6. Refine campaigns to maximize engagement and conversion rates.

7. AI-Driven Enrichment

8. Profiles enriched with actionable data deliver valuable insights, ensuring that each interaction is timely, informed, and impactful.

Strategic Use Cases:

1. Sales and Business Development
2. Present technology solutions, equipment, or consulting services directly to decision-makers in the energy sector.

3. Forge relationships with executives responsible for procurement, strategic partnerships, and operational efficiency.

4. Marketing and Brand Awareness

5. Launch targeted campaigns to promote energy-related software, sustainable energy solutions, or investment opportunities.

6. Leverage accurate contact data to increase engagement and drive better campaign results.

7. Investment and M&A Activities

8. Connect with key players in energy startups, established utilities, and global energy conglomerates exploring mergers, acquisitions, or investment deals.

9. Identify the right decision-makers to streamline negotiations and capital deployment.

10. Sustainable and Renewable Energy Initiatives

11. Engage leaders in the renewable energy space to foster partnerships, promote clean energy solutions, and encourage sustainable practices.

12. Position your business as a strategic ally in achieving long-term environmental and economic goals.

Why Choose Success.ai?

1. Best Price Guarantee

2. Access premium-quality verified data at competitive prices, ensuring maximum return on investment.

3. Seamless Integration

4. Incorporate the data into your CRM or marketing automation tools using APIs or custom download formats.

5. Data Accuracy with AI Validation

6. Trust in 99% data accuracy for confident decision-making, strategic targeting, and consistent outreach results.

7. Customizable and Scalable Solutions

8. Tailor datasets to meet your unique objectives, whether focusing on a specific region, energy vertical, or company size.

APIs for Enhanced Functionality:

1. Data Enrichment API

2. Enrich your existing records with verified contact data for energy sector executives, improving targeting and personalization.

3. Lead Generation API

4. Automate lead...

Abstract

The spread of COVID-19 and government-imposed social distancing practices across the globe has severely limited the use of traditional, face-to-face interviews. Phone surveys, on the other hand, do not require face-to-face interactions and could elicit information from individuals, households rapidly and at low cost. These platforms also offer flexibility to alter sampling and/or questionnaire design in response to evolving needs. The objective of this survey is to monitor the impact of COVID-19 and the economic downturn on Iraqi individuals and households, and consequently better inform government mitigation policies – in the short- and medium-run. The short and repeated household phone-survey collected information on key indicators such as employment, food insecurity, subjective wellbeing and access to market, healthcare, and education to identify the most vulnerable groups and assess their needs. The phone survey was implemented on a monthly basis to monitor changes over time.

Geographic coverage

The survey covered all 18 governorates of Iraq.

Analysis unit

Individual and Household

Kind of data

Sample survey data [ssd]

Frequency of data collection

Data was collected monthly

Sampling procedure

The data collection methodology consists of a countrywide survey covering the 18 governorates in Iraq. The sample size is disaggregated by 18 governorates and the survey firm applied a random sampling approach to reach participants from different governorates in order to reach the given geographical quotas. The governorate population and details of quota are provided in Annex I of the survey report provided as supporting documentation.

All major Mobile Network Operators (MNOs) active in the country were included within the sampling frame to ensure a representative sample. The sample size is designed to detect changes in the prevalence of food insecurity (mainly people with inadequate food consumption) at governorate level as reported in the 2016 Comprehensive Food Security and Vulnerability Analysis (CFSVA) survey in Iraq.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The questionnaires are provided as supporting documentation, in English.

Response rate

The response rate for each round of the survey remained above 75 percent. For example, in August, a total of 1,843 individuals were contacted out of which 1,621 (each from a unique household) agreed and completed the survey; yielding a response rate of 80.1 percent. While the survey is designed to be a panel, households that could not be tracked are replaced with new households to meet the required quota. Response rate for both September and October rounds were above 75 percent. The survey allowed for maximum of 5 telephone contact attempts to reach the targeted respondents. Average number of attempts per phone number was below 1.5 calls for all three rounds.

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