Global B2B Mobile Phone Number Database | 100M+ Verified Contacts | 95% Accuracy Forager.ai provides the world’s most reliable mobile phone number data for businesses that refuse to compromise on quality. With 100 million+ professionally verified mobile numbers refreshed every 3 weeks, our database ensures 95% accuracy – so your teams never waste time on dead-end leads.

Why Our Data Wins ✅ Accuracy You Can Trust 95% of mobile numbers are verified against live carrier records and tied to current job roles. Say goodbye to “disconnected number” voicemails.

✅ Depth Beyond Digits Each contact includes 150+ data points:

Direct mobile numbers

Current job title, company, and department

Full career history + education background

Location data + LinkedIn profiles

Company size, industry, and revenue

✅ Freshness Guaranteed Bi-weekly updates combat job-hopping and role changes – critical for sales teams targeting decision-makers.

✅ Ethically Sourced & Compliant First-party collected data with full GDPR/CCPA compliance.

Who Uses This Data?

Sales Teams: Cold-call C-suite prospects with verified mobile numbers.

Marketers: Run hyper-personalized SMS/WhatsApp campaigns.

Recruiters: Source passive candidates with up-to-date contact intel.

Data Vendors: License premium datasets to enhance your product.

Tech Platforms: Power your SaaS tools via API with enterprise-grade B2B data.

Flexible Delivery, Instant Results

API (REST): Real-time integration for CRMs, dialers, or marketing stacks

CSV/JSON: Campaign-ready files.

PostgreSQL: Custom databases for large-scale enrichment

Compliance: Full audit trails + opt-out management

Why Forager.ai? → Proven ROI: Clients see 62% higher connect rates vs. industry averages (request case studies). → No Guesswork: Test-drive free samples before committing. → Scalable Pricing: Pay per record, license datasets, or get unlimited API access.

B2B Mobile Phone Data | Verified Contact Database | Sales Prospecting Lists | CRM Enrichment | Recruitment Phone Numbers | Marketing Automation | Phone Number Datasets | GDPR-Compliant Leads | Direct Dial Contacts | Decision-Maker Data

Need Proof? Contact us to see why Fortune 500 companies and startups alike trust Forager.ai for mission-critical outreach.

The US Consumer Phone file contains phone numbers, mobile and landline, tied to an individual in the Consumer Database. The fields available include the phone number, phone type, mobile carrier, and Do Not Call registry status.

All phone numbers can be cleansed using telecom carrier data.

Unlock the power of direct engagement with our comprehensive dataset of 34 million verified global phone numbers. This dataset is curated for businesses and data-driven teams looking to enhance customer acquisition, power targeted outreach, enrich CRM records, and fuel B2C growth at scale.

Whether you're running SMS marketing campaigns, telemarketing, building a mobile app user base, or performing identity validation, this dataset offers a scalable, compliant foundation to reach real users worldwide.

🔍 What’s Included: ✅ 34,000,000+ mobile and landline numbers

🌍 Global coverage, including high volumes from the US, UK, Canada, Europe, and emerging markets

🧹 Clean, structured format (CSV/JSON/SQL) for easy integration

📱 Includes carrier, country code, line type, and location data (where available)

🧠 Ideal Use Cases: B2C & D2C marketing campaigns

SMS and voice call outreach

Lead generation & prospecting

Mobile app user acquisition

Identity verification & enrichment

Market analysis and segmentation

High Frequency Indicator: The dataset contains year-, month- and service-area-wise compiled data from the year 2011 to till date on the total number of requests made for mobile portability, i.e. retention of same mobile number by a user, even if they change from one service to another.

We will create a customized phones dataset tailored to your specific requirements. Data points may include brand names, model specifications, pricing information, release dates, market availability, feature sets, and other relevant metrics.

Utilize our phones datasets for a variety of applications to boost strategic planning and market analysis. Analyzing these datasets can help organizations grasp consumer preferences and technological trends within the mobile phone industry, allowing for more precise product development and marketing strategies. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: enhancing competitive benchmarking, identifying pricing trends, and optimizing product portfolios.

• 500M B2B Contacts • 35M Companies • 20+ Data Points to Filter Your Leads • 100M+ Contact Direct Dial and Mobile Number • Lifetime Support Until You 100% Satisfied

We are the Best b2b database providers for high-performance sales teams. If you get a fake by any chance, you have nothing to do with them. Nothing is more frustrating than receiving useless data for which you have paid money.

Every 15 days, our devoted team updates our b2b leads database. In addition, we are always available to assist our clients with whatever data they are working with in order to ensure that our service meets their needs. We keep an eye on our b2b contact database to keep you informed and provide any assistance you require.

With our simple-to-use system and up-to-date B2B contact list, we hope to make your job easier. You’ll be able to filter your data at Lfbbd based on the industry you work in. For example, you can choose from real estate companies or just simply tap into the healthcare business. Our database is updated on a regular basis, and you will receive contact information as soon as possible.

Use our information to quickly locate new business clients, competitors, and suppliers. We’ve got your back, no matter what precise requirements you have.

We have over 500 million business-to-business contacts that you may segment based on your marketing and commercial goals. We don’t stop there; we’re always gathering leads from the right tool so you can reach out to a big database of your clients without worrying about email constraints.

Thanks to our database, you may create your own campaign and send as many email or automated messages as you want. We collect the most viable b2b database to help you go a long way, as we seek to increase your business and enhance your sales.

The majority of our clients choose us since we have competitive costs when compared to others. In this digital era, marketing is more advanced, and customers are less willing to pay more for a service that produces poor results.

That’s why we’ve devised the most effective b2b database strategy for your company. You can also tailor your database and pricing to meet your specific business requirements.

• Connect directly with the right decision-makers, using the most accurate database of emails and direct dials. Build a clean prospecting list that you can plug into your sales tools and generate new leads from, right away • Over 500 million business contacts worldwide. • You could filter your targeted leads by 20+ criteria including job title, industry, location, Revenue, Technology, and more. • Find the email addresses of the professionals you want to contact one by one or in bulk.

Number of subscribers in Mobile-cellular telephone services: Refers to the number of subscriptions in the mobile- cellular service that is measured by the indicator includes the number of postpaid subscriptions and the number of active prepaid subscriptions (that have been used during the last three months). An updated version is published for each year on the following fiscal year.

Number of active SIM cards divided by population. It includes both voice and data services, installed in telephones, modem, usb keys or other devices.

Original source

Electronic communications market indicators collected by Commission services, through National Regulatory Authorities, for the Communications Committee (COCOM) - January and July reports.:

http://ec.europa.eu/digital-agenda/about-fast-and-ultra-fast-internet-access

Parent dataset

This dataset is part of of another dataset:

http://digital-agenda-data.eu/datasets/digital_agenda_scoreboard_key_indicators

Dataset Overview: A collection of features characterizing mobile phones, including battery power, camera specifications, network support, memory, screen dimensions, and other attributes. The 'price_range' column categorizes phones into price ranges, making this dataset suitable for mobile phone classification and price prediction tasks.

Global Telemarketing Data | 95% Phone & Email Accuracy | 270M+ Verified Contacts Forager.ai redefines telemarketing success with the world’s most actionable contact database. We combine 100M+ mobile numbers and 170M+ verified emails with deep company insights – all updated every 14 days to maintain 95% accuracy rates that outperform legacy providers.

Why Telemarketing Teams Choose Us ✅ Dual-Channel Verified Every record confirms both working mobile numbers AND valid Personal email or Work email addresses – critical for multi-touch campaigns.

✅ Decision-Maker Intel 41% of contacts hold budget authority (Director to C-Suite) with:

Direct mobile numbers

Verified corporate emails

Department hierarchy mapping

Purchase intent signals

✅ Freshness Engine Bi-weekly verification sweeps catch: ✖ Job changers (23% of database monthly) ✖ Company restructuring ✖ Number/email deactivations

✅ Compliance Built-In Automated opt-out management + full GDPR/CCPA documentation.

Your Complete Telemarketing Toolkit Core Data Points: ✔ Direct dial mobile/work numbers ✔ Verified corporate email addresses ✔ Job title & decision-making authority ✔ Company size/revenue/tech stack ✔ Department structure & team size ✔ Location data (HQ/local offices) ✔ LinkedIn/Social media validation

Proven Use Cases • Cold Calling 2.0: Target CROs with mobile numbers + know their tech stack before dialing • Email-to-Call Sequencing: Match verified emails to mobile numbers for 360° outreach • List Hygiene: Clean existing CRM contacts against our live database • Market Expansion: Target specific employee counts (50-200 person companies) • Event Follow-Ups: Re-engage webinar/trade show leads with updated contact info

Enterprise-Grade Delivery

Real-Time API: Connect to Five9/Aircall/Salesforce

CRM-Ready Files: CSV with custom fields

Compliance Hub: Automated opt-out tracking

PostgreSQL Sync/ JSON files: 2-3 weeks updates for large datasets

Why We Outperform Competitors → 62% Connect Rate: Actual client result vs. industry 38% average → 3:1 ROI Guarantee: We’ll prove value or extend your license → Free Audit: Upload 10K contacts – we’ll show % salvageable

Need Convincing? Free API test account → Experience our accuracy firsthand. See why 89% of trial users convert to paid plans.

Telemarketing Data | Verified Contact Database | Cold Calling Lists | Phone & Email Data | Decision-Maker Contacts | CRM Enrichment | GDPR-Compliant Leads | B2B Contact Data | Sales Prospecting | ABM Targeting

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

Did not include Azad Jammu and Kashmir (AJK) and Gilgit-Baltistan. The excluded area represents approximately 5 percent of the total population. Gender-matched sampling was used during the final stage of selection.

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Pakistan is 1002.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

Mobile number churn data. Visit https://dataone.org/datasets/sha256%3Ac5a0755757525ea1224aadfbda2c5ad14bfdb825c1c18cbbd157d55c80bf31da for complete metadata about this dataset.

This competition involves advertisement data provided by BuzzCity Pte. Ltd. BuzzCity is a global mobile advertising network that has millions of consumers around the world on mobile phones and devices. In Q1 2012, over 45 billion ad banners were delivered across the BuzzCity network consisting of more than 10,000 publisher sites which reach an average of over 300 million unique users per month. The number of smartphones active on the network has also grown significantly. Smartphones now account for more than 32% phones that are served advertisements across the BuzzCity network. The "raw" data used in this competition has two types: publisher database and click database, both provided in CSV format. The publisher database records the publisher's (aka partner's) profile and comprises several fields:

publisherid - Unique identifier of a publisher. Bankaccount - Bank account associated with a publisher (may be empty) address - Mailing address of a publisher (obfuscated; may be empty) status - Label of a publisher, which can be the following: "OK" - Publishers whom BuzzCity deems as having healthy traffic (or those who slipped their detection mechanisms) "Observation" - Publishers who may have just started their traffic or their traffic statistics deviates from system wide average. BuzzCity does not have any conclusive stand with these publishers yet "Fraud" - Publishers who are deemed as fraudulent with clear proof. Buzzcity suspends their accounts and their earnings will not be paid

On the other hand, the click database records the click traffics and has several fields:

id - Unique identifier of a particular click numericip - Public IP address of a clicker/visitor deviceua - Phone model used by a clicker/visitor publisherid - Unique identifier of a publisher adscampaignid - Unique identifier of a given advertisement campaign usercountry - Country from which the surfer is clicktime - Timestamp of a given click (in YYYY-MM-DD format) publisherchannel - Publisher's channel type, which can be the following: ad - Adult sites co - Community es - Entertainment and lifestyle gd - Glamour and dating in - Information mc - Mobile content pp - Premium portal se - Search, portal, services referredurl - URL where the ad banners were clicked (obfuscated; may be empty). More details about the HTTP Referer protocol can be found in this article. Related Publication: R. J. Oentaryo, E.-P. Lim, M. Finegold, D. Lo, F.-D. Zhu, C. Phua, E.-Y. Cheu, G.-E. Yap, K. Sim, M. N. Nguyen, K. Perera, B. Neupane, M. Faisal, Z.-Y. Aung, W. L. Woon, W. Chen, D. Patel, and D. Berrar. (2014). Detecting click fraud in online advertising: A data mining approach, Journal of Machine Learning Research, 15, 99-140.

Mobile subscriptions are defined as the number of active SIM cards. It includes both voice and data services, installed in telephones, modem, usb keys or other devices. ### Original source Electronic communications market indicators collected by Commission services, through National Regulatory Authorities, for the Communications Committee (COCOM) - January and July reports.: http://ec.europa.eu/digital-agenda/about-fast-and-ultra-fast-internet-access ### Parent dataset This dataset is part of of another dataset: http://digital-agenda-data.eu/datasets/digital_agenda_scoreboard_key_indicators

This Dataset is instrumental if you are working on a machine-learning project where you are working in which you need information about smartphones, and feature phone available in the Indian market. This Dataset is having 5 columns -> model name, price, ratings, reviews, and specifications. Do not confuse it with the duplicated values in the name and the price columns, because in the model name, there are the same phones available with different color options Google pixel 6pro is available in 2-3 color options but the price was the same. So your domain knowledge and how better you do the feature engineering over this dataset is dependent. The price is in the Indian rupee you can convert it according to your use case. Now I Updated the dataset and added a new version of the dataset after some Preprocessing (Updated_Mobile_Dataset.csv) In which the new version does not contain any null values added the company column in the new version and also separated the Rom and Ram columns. The shape of the newly updated data set is (28036, 8) The objective here is to forecast the price of mobile phones. Please upvote if you find the dataset useful.

SKMM Annual Report - Total Ported Mobile Number Transaction since 2008 until 2012 No. of Views : 160

Mobile Phone Dataset | Smartphone & Feature Phone

Crowdsourced original images of a wide variety of mobile phones

About Dataset

This dataset is collected by* DataCluster Labs*, India. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai

This dataset is an extremely challenging set of over 3000+ original Mobile Phone images captured and crowdsourced from over 1000+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at ****DC Labs.

Dataset Features 1. Dataset size : 3000+ 2. Captured by : Over 1000+ crowdsource contributors 3. Resolution : 99% images HD and above (1920x1080 and above) 4. Location : Captured with 600+ cities accross India 5. Diversity : Various lighting conditions like day, night, varied distances, view points etc. 6. Device used : Captured using mobile phones in 2020-2021 7. Applications : Mobile Phone detection, cracked screen detection, etc.

Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record

The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai

Visit www.datacluster.ai to know more.

Dataset from Info-communications Media Development Authority. For more information, visit https://data.gov.sg/datasets/d_8bf1863458eefb925c88bda1d2d30ff9/view

Success.ai’s Phone Number Data offers direct access to over 50 million verified phone numbers for professionals worldwide, extracted from our expansive collection of 170 million profiles. This robust dataset includes work emails and key decision-maker profiles, making it an essential resource for companies aiming to enhance their communication strategies and outreach efficiency. Whether you're launching targeted marketing campaigns, setting up sales calls, or conducting market research, our phone number data ensures you're connected to the right professionals at the right time.

Why Choose Success.ai’s Phone Number Data?

Direct Communication: Reach out directly to professionals with verified phone numbers and work emails, ensuring your message gets to the right person without delay. Global Coverage: Our data spans across continents, providing phone numbers for professionals in North America, Europe, APAC, and emerging markets. Continuously Updated: We regularly refresh our dataset to maintain accuracy and relevance, reflecting changes like promotions, company moves, or industry shifts. Comprehensive Data Points:

Verified Phone Numbers: Direct lines and mobile numbers of professionals across various industries. Work Emails: Reliable email addresses to complement phone communications. Professional Profiles: Decision-makers’ profiles including job titles, company details, and industry information. Flexible Delivery and Integration: Success.ai offers this dataset in various formats suitable for seamless integration into your CRM or sales platform. Whether you prefer API access for real-time data retrieval or static files for periodic updates, we tailor the delivery to meet your operational needs.

Competitive Pricing with Best Price Guarantee: We provide this essential data at the most competitive prices in the industry, ensuring you receive the best value for your investment. Our best price guarantee means you can trust that you are getting the highest quality data at the lowest possible cost.

Targeted Applications for Phone Number Data:

Sales and Telemarketing: Enhance your telemarketing campaigns by reaching out directly to potential customers, bypassing gatekeepers. Market Research: Conduct surveys and research directly with industry professionals to gather insights that can shape your business strategy. Event Promotion: Invite prospects to webinars, conferences, and seminars directly through personal calls or SMS. Customer Support: Improve customer service by integrating accurate contact information into your support systems. Quality Assurance and Compliance:

Data Accuracy: Our data is verified for accuracy to ensure over 99% deliverability rates. Compliance: Fully compliant with GDPR and other international data protection regulations, allowing you to use the data with confidence globally. Customization and Support:

Tailored Data Solutions: Customize the data according to geographic, industry-specific, or job role filters to match your unique business needs. Dedicated Support: Our team is on hand to assist with data integration, usage, and any questions you may have. Start with Success.ai Today: Engage with Success.ai to leverage our Phone Number Data and connect with global professionals effectively. Schedule a consultation or request a sample through our dedicated client portal and begin transforming your outreach and communication strategies today.

Remember, with Success.ai, you don’t just buy data; you invest in a partnership that grows with your business needs, backed by our commitment to quality and affordability.

This data aims to analyze the intellectual structure of mobile money studies by examining bibliographic characteristics. A dataset of 165 documents from the Scopus database was used. This study explored various aspects, including annual publication counts, country coupling, source numbers, primary research areas, co-occurrence of keywords, bibliographic linkages between sources and documents, and co-citation patterns of references. Bibliographic network mapping techniques were applied to analyze the data. The analysis was performed using VOSviewer, a scientific mapping tool. The results showed four main themes of the mobile money dataset: mobile money in Africa, financial inclusion, electronic money, and digital financial services.