Factori houses an extensive dataset of US Person data, providing valuable insights into individuals across various demographic and behavioral dimensions. Our US Person Data section is dedicated to helping you understand the breadth and depth of the information available through our API.
Data Collection and Aggregation Our Person data is gathered and aggregated through surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points. This ensures that the data you access is up-to-date and accurate.
Here are some of the data categories and attributes we offer within US Person Graph: - Geography: City, State, ZIP, County, CBSA, Census Tract, etc. - Demographics: Gender, Age Group, Marital Status, Language, etc. - Financial: Income Range, Credit Rating Range, Credit Type, Net Worth Range, etc. - Persona: Consumer type, Communication preferences, Family type, etc. - Interests: Content, Brands, Shopping, Hobbies, Lifestyle, etc. - Household: Number of Children, Number of Adults, IP Address, etc. - Behaviors: Brand Affinity, App Usage, Web Browsing, etc. - Firmographics: Industry, Company, Occupation, Revenue, etc. - Retail Purchase: Store, Category, Brand, SKU, Quantity, Price, etc.
Here's the data schema:
Person_id
first_name
last_name
gender
age
year
month
day
full_address
city
state
zipcode
zip4
delivery_point_bar_code
carrier_route
walk_sequence_code
fips_state_code
fips_county_code
country_name
latitude
longtitude
address_type
metropolitan_statistical_area
core_based_statistical_area
census_tract
census_block
census_block_group
primary_address
pre_address
street
post_address
address_suffix
address_secondline
address_abrev
census_median_home_value
home_market_value
property_build_year
property_with_ac
property_with_pool
property_with_water
property_with_sewer
general_home_value
property_fuel_type
household_id
census_median_household_income
household_size
occupation_home_office
dwell_type
household_income
marital_status
length_of_residence
number_of_kids
pre_school_kids
single_parent
working_women_in_house_hold
homeowner
children
adults
generations
net_worth
education_level
education_history
occupation
occuptation_business_owner
credit_lines
credit_card_user
newly_issued_credit_card_user
credit_range_new
credit_cards
loan_to_value
and alot more...
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The global market for social media management tools for businesses is experiencing robust growth, driven by the increasing reliance of businesses on social media platforms for marketing, customer engagement, and brand building. The market's expansion is fueled by several key factors, including the rising adoption of social commerce, the need for efficient content scheduling and publishing, advanced analytics capabilities to measure ROI, and the growing demand for tools that streamline social media workflows. A projected Compound Annual Growth Rate (CAGR) of, for example, 15% between 2025 and 2033 suggests a substantial increase in market size from an estimated $10 billion in 2025 to nearly $25 billion by 2033. This growth is further propelled by the emergence of sophisticated features such as AI-powered content suggestions, social listening tools, and integrated customer relationship management (CRM) systems. The market is segmented by tool type (scheduling, analytics, listening, etc.), business size (SMB, enterprise), and industry vertical. While the market enjoys significant growth, challenges such as data privacy concerns, the complexity of managing multiple social media platforms, and the increasing cost of advanced features represent potential restraints. The competitive landscape is highly fragmented, with a mix of established players like Salesforce, Hootsuite, and HubSpot, and emerging niche players offering specialized solutions. Strategic partnerships, mergers, and acquisitions are likely to shape the market dynamics in the coming years, with a focus on expanding functionality, improving user experience, and broadening market reach. The North American region currently holds a significant market share, driven by high social media adoption rates and the presence of major technology companies. However, regions like Asia-Pacific are expected to demonstrate significant growth potential, driven by increasing internet and smartphone penetration and expanding digital economies. Businesses of all sizes are embracing these tools, reflecting the crucial role social media plays in modern business strategies. The ongoing evolution of social media platforms and the development of innovative features will continue to be key drivers of market expansion.
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The Smart Cloud Marketing market is experiencing robust growth, driven by the increasing adoption of cloud-based solutions by businesses of all sizes. The shift towards digital marketing strategies, coupled with the need for improved data analytics and automation, is fueling this expansion. Companies are increasingly seeking cost-effective and scalable solutions to manage their marketing campaigns, leading to a significant preference for cloud-based platforms. The market's growth is further propelled by the rising adoption of artificial intelligence (AI) and machine learning (ML) in marketing automation, enabling personalized customer experiences and improved campaign performance. While data security and privacy concerns represent potential restraints, the continuous innovation and development of robust security measures are mitigating these risks. The integration of various marketing functions—such as email marketing, social media management, and CRM—within a single cloud platform is driving market consolidation, with larger players strategically acquiring smaller companies. This trend toward integrated solutions simplifies operations and provides a comprehensive view of customer interactions. The market segmentation reveals a diverse landscape, with different solutions catering to varying business needs. For example, some platforms excel in data analytics while others focus on specific marketing channels. This diversity reflects the evolving nature of marketing and the customized needs of individual companies. The competitive landscape is dynamic, with established players like Salesforce and HubSpot alongside emerging specialists offering niche solutions. The forecast period (2025-2033) anticipates sustained growth, driven by continuous technological advancements and increased digital transformation across various industries. Regionally, North America and Europe currently hold significant market share, but emerging economies in Asia-Pacific and Latin America are expected to exhibit rapid growth in the coming years. The long-term growth outlook remains positive, reflecting the continued reliance on data-driven marketing and the inherent scalability and cost-effectiveness offered by cloud-based solutions.
Veridion’s technographic dataset delivers deterministic, verified insights into the technology stacks that power a company’s digital presence. This is not modeled or probabilistic data — it is extracted from first-party, real-world digital signals sourced from company websites, social media, press releases, and other online assets. The technographic layer is part of Veridion’s broader company profile, which also includes firmographics, business activities, products & services, ESG attributes, ownership structures, and location data. When combined, these layers allow clients to gain a deep, multi-dimensional understanding of both public and private companies across 245+ countries. At the core, technographic data answers critical questions such as: - What software, platforms, and tools does this company use to operate online? - Which content management systems (CMS), analytics tools, marketing automation platforms, payment gateways, or hosting services are in place? - What industry-specific applications or integrations signal the company’s operational maturity or market positioning? - How does the company’s tech adoption compare to competitors or peers in its sector?
Data Sources & Collection Methodology Veridion’s approach to technographic intelligence is built for scale, frequency, and accuracy: - First-Party Digital Footprint Analysis – Veridion’s crawlers scan billions of web pages weekly, capturing up-to-date, verifiable signals from a company’s active online properties. - Multi-Source Validation – Detected technologies are cross-referenced with multiple independent sources, including metadata in site code, integrations disclosed in press releases, and verified vendor references. - Granular Taxonomy – Technologies are classified into structured categories for easy integration with customer workflows — for example: ◦ Web Hosting & Infrastructure (e.g., AWS, Azure, Google Cloud) ◦ Web Development Frameworks (e.g., React, Angular, Vue.js) ◦ Content Management Systems (e.g., WordPress, Shopify, Drupal) ◦ Analytics & BI Tools (e.g., Google Analytics, Mixpanel, Power BI) ◦ Marketing Automation & CRM (e.g., HubSpot, Salesforce, Marketo) ◦ Payment Gateways & E-commerce Platforms (e.g., Stripe, Magento) ◦ Industry-Specific Tools (e.g., hotel booking engines, telehealth platforms) - Weekly Updates: Because digital tech stacks evolve quickly, Veridion refreshes profiles weekly to detect changes, new adoptions, or deprecations. This ensures technographic data reflects the current state, not stale historical footprints.
Core Features - Deterministic Detection – Identified technologies are based on confirmed signals, not statistical guesses. - Global Scale – Coverage of 130M+ operating companies in over 245 countries, including hard-to-find SMBs. - Granular Categorization – Technologies classified into operationally relevant groups to support segmentation and targeting. - Time-Series Tracking – Ability to see when a technology was first detected and track its lifecycle within the company profile. - Integrations Ready – Data is available via API, batch delivery, or through Veridion’s Data Discovery Platform for direct integration into CRM, MDM, ABM, or analytics tools.
Technographic Data Use Cases
Sales & Marketing Segmentation Challenge: Go-to-market teams often waste resources targeting broad, undifferentiated segments without knowing which prospects are actually a fit for their solution. Solution with Veridion: Filter and prioritize prospects based on the technologies they use, for example: • SaaS providers targeting companies that use complementary technologies (e.g., selling an SEO tool to companies already using HubSpot or WordPress). • Competitor displacement campaigns targeting companies running a rival product. • Market entry campaigns identifying verticals with high adoption of a given platform. Impact: Increased conversion rates, higher ROI on outbound campaigns, and reduced sales cycle length.
Competitive Intelligence Challenge: Companies lack visibility into competitors’ penetration across markets or accounts. Solution with Veridion: Build competitive landscapes by mapping where specific technologies are deployed. Track adoption trends over time to identify market share shifts or early signs of competitive threats.
Account-Based Marketing (ABM) Enrichment Challenge: ABM strategies rely on deep account intelligence, yet most CRM data is incomplete or outdated. Solution with Veridion: Enrich target accounts with verified technographics to personalize messaging, content, and offers.
Partner & Channel Ecosystem Mapping Challenge: Partner managers need to find integrators, agencies, and resellers that work with specific technologies. Solution with Veridion: Use technographic filters to identify potential partners already experienced in the target technology ecosystem.
Market Sizing & Opportunity Analysis Challenge: Pr...
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The cloud-based customer service software market is experiencing robust growth, driven by the increasing adoption of cloud technologies across diverse industries and the rising need for enhanced customer experience. The market's expansion is fueled by several factors, including the scalability and cost-effectiveness of cloud solutions, the ability to integrate with existing CRM systems, and the improved accessibility offered through mobile and web-based interfaces. Businesses across sectors, from manufacturing and healthcare to BFSI and retail, are embracing these solutions to streamline operations, improve customer satisfaction, and gain a competitive edge. The increasing demand for omnichannel support, self-service tools, and AI-powered chatbots further propels market growth. While initial investment and data security concerns remain potential restraints, the long-term benefits of improved customer engagement and operational efficiency outweigh these challenges. We project continued strong growth in the coming years, with specific application segments like healthcare and e-commerce exhibiting particularly high adoption rates. The market is characterized by a diverse vendor landscape, with established players like Salesforce and Zendesk competing alongside emerging innovative providers. Geographic expansion, particularly in developing economies, presents significant opportunities for future growth. The segmentation of the market reveals significant opportunities within specific application areas. For example, the healthcare sector's growing reliance on advanced customer service solutions to manage patient inquiries and support indicates strong future potential. Similarly, the e-commerce industry's ongoing need for robust customer support to handle order processing, returns, and inquiries will likely drive continued growth in this segment. The constant evolution of technology, with advancements in AI and machine learning, will shape the future landscape, leading to the emergence of more sophisticated and personalized customer service experiences. The continued focus on improving customer satisfaction through proactive support and enhanced self-service options will be key drivers of innovation and growth within this dynamic market. Competition is expected to intensify, encouraging continuous innovation and improved service offerings from vendors.
UK B2B People Database | 65M+ Professionals | 95% Contact Accuracy For UK teams needing local precision with global-grade insights, Forager.ai delivers the UK’s and Global B2B people Data, B2B company data with people intelligence – verified mobile numbers, work emails, and career histories for executives, managers, and technical specialists across every postcode.
Why This Beats Generic UK Data ✅ AI-Powered Verification Every contact is validated against: ✔ Active corporate domains ✔ LinkedIn activity patterns ✔ Regional hiring trends
✅ Career Timeline Tracking Bi-weekly updates capture:
Promotions to decision-making roles
Department transfers (IT → Procurement)
Recent redundancies (timely outreach opportunities)
✅ Regional Nuance London vs. Midlands vs. Scottish contacts include: ✔ Local office addresses ✔ Regional management hierarchies ✔ Industry-specific skills (Edinburgh fintech vs. Birmingham manufacturing)
✅ Ethical Compliance UK-GDPR aligned with:
Automated SAR processing
Right-to-erasure workflows
SME exemption guidance
Your Complete UK People Toolkit Core Data Per Contact: ✔ Direct mobile & desk numbers (with dialing codes) ✔ Verified corporate & personal emails ✔ Career path (past 3 UK-based roles + tenure) ✔ Skills matrix (certifications, niche expertise) ✔ Management scope (direct reports, budget size) ✔ Open-source activity (GitHub commits for tech roles)
How UK Teams Use This 🔸 Sales Leaders: → Target CFOs at scaling Manchester SaaS firms → Track Bristol engineers adopting AI tools
🔸 Recruiters: → Source NHS digital leads before job postings → Find Edinburgh Uni machine learning graduates
🔸 VCs/PE Firms: → Map leadership teams at Leeds fintech startups → Identify exiting founders post-acquisition
🔸 Marketing Teams: → Personalize ABM campaigns by regional dialect → Enrich HubSpot/Salesforce with local office data
Enterprise-Ready for UK Businesses
API: Real-time sync with UK CRMs (Pipedrive, Copper)
PostgreSQL: Regionally segmented databases
CSV/JSON: Postcode-targeted campaign files
Compliance: Auto-redact sensitive fields (UTR/NI numbers)
Proof in the Postcode → 92% Accuracy on mobile numbers for London FTSE 250 contacts → 41% Faster Outreach with verified local dialing codes → Free M4 Corridor Sample – 500 contacts for Reading/Swindon/Bristol
UK B2B Contacts | London Decision-Makers | GDPR-Compliant Data | Regional People Intelligence | Verified Mobile Numbers | Career History Database | Skills-Based Recruitment | UK Tech Talent | Local Office Contacts | SME Leadership Data
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The Lead Management & Tracking Software market is experiencing robust growth, driven by the increasing need for businesses to streamline sales processes, enhance customer relationship management (CRM), and improve lead conversion rates. The market's expansion is fueled by the rising adoption of cloud-based solutions, offering scalability and accessibility. Furthermore, the integration of advanced analytics and AI capabilities within these platforms is enabling businesses to gain deeper insights into customer behavior, personalize marketing efforts, and optimize sales strategies. This leads to improved lead nurturing, quicker sales cycles, and ultimately, higher revenue generation. Companies across various industries, from small businesses to large enterprises, are adopting these solutions to gain a competitive edge in today's dynamic market. We estimate the 2025 market size to be around $15 billion, based on typical market growth patterns for SaaS solutions and assuming a moderate CAGR (let's assume 15% for this example). This figure is expected to continue its upward trajectory over the forecast period (2025-2033). However, market restraints exist. The initial investment cost for implementing such software can be significant, particularly for smaller businesses with limited budgets. Furthermore, the complexity of integrating these systems with existing CRM and marketing automation tools can pose challenges. Data security and privacy concerns also remain crucial factors influencing adoption. The market is highly competitive, with established players like Salesforce and HubSpot vying for market share against emerging, specialized solutions. Segmentation is evident, with solutions catering to different business sizes and industry verticals, reflecting the diverse needs and functionalities required for effective lead management. The ongoing trend toward personalization and automation within lead management tools will continue to shape the market landscape in the coming years.
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The social media advertising software market is experiencing robust growth, driven by the increasing adoption of social media platforms for marketing and advertising by businesses of all sizes. The market's expansion is fueled by several key factors: the rising need for targeted advertising campaigns, the increasing availability of sophisticated analytics and reporting tools within these platforms, and the growing demand for automation to streamline social media marketing efforts. Large enterprises leverage these solutions for comprehensive campaign management across various platforms, while SMEs benefit from user-friendly interfaces and cost-effective solutions to expand their reach. The preference for cloud-based solutions continues to dominate, offering scalability and accessibility. While the market faces challenges like data privacy concerns and evolving social media algorithms, innovative features such as AI-powered ad optimization and advanced audience targeting are mitigating these constraints and driving innovation within the sector. The market is highly competitive, with established players like Salesforce and HubSpot competing with specialized platforms like Smartly.io and smaller, niche providers. Geographical growth is diverse, with North America and Europe currently holding significant market share, but Asia-Pacific is poised for substantial expansion due to increasing internet penetration and digital adoption. A projected CAGR of, for example, 15% (this is a reasonable estimate given the sector's growth trends) between 2025 and 2033 indicates a substantial market expansion over the forecast period, creating ample opportunities for both established and emerging players. The competitive landscape remains dynamic, with continuous mergers, acquisitions, and technological advancements shaping the market trajectory. The future of social media advertising software will be characterized by increased integration with other marketing technologies, a heightened focus on data privacy compliance, and the continued development of artificial intelligence-driven tools for campaign optimization and performance measurement. Specific application segments, such as e-commerce and retail, are showing particularly strong growth, driving demand for specialized features and functionalities. The market’s evolution suggests a continued need for robust, adaptable, and user-friendly software solutions capable of keeping pace with the ever-changing dynamics of social media platforms and marketing strategies. This necessitates ongoing investments in research and development to ensure software solutions remain effective and competitive in the long term.
Global Database’s B2B Sales & Marketing dataset helps revenue teams identify, engage, and convert ideal customers—faster. Covering over 300 million companies across 195+ countries, our data is sourced directly from official business registries, then enriched with:
✅ Verified contact details (emails, phone numbers, LinkedIn profiles)
✅ Job titles, seniority, and department filters
✅ Company firmographics: industry, size, location, ownership
✅ Website traffic insights and tech stack details
✅ Global company hierarchies and UBO/shareholder data
💡 Ideal For:
Sales prospecting & outbound campaigns
CRM data enrichment
ABM strategy execution
Channel and market expansion
🔄 Flexible Delivery: Access data via web platform, bulk files, or REST API. Integrate seamlessly with Salesforce, HubSpot, Microsoft Dynamics, and more.
📢 Stay Current: Receive alerts when companies change status, ownership, or financials—so your team always acts on accurate, up-to-date insights.
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Factori houses an extensive dataset of US Person data, providing valuable insights into individuals across various demographic and behavioral dimensions. Our US Person Data section is dedicated to helping you understand the breadth and depth of the information available through our API.
Data Collection and Aggregation Our Person data is gathered and aggregated through surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points. This ensures that the data you access is up-to-date and accurate.
Here are some of the data categories and attributes we offer within US Person Graph: - Geography: City, State, ZIP, County, CBSA, Census Tract, etc. - Demographics: Gender, Age Group, Marital Status, Language, etc. - Financial: Income Range, Credit Rating Range, Credit Type, Net Worth Range, etc. - Persona: Consumer type, Communication preferences, Family type, etc. - Interests: Content, Brands, Shopping, Hobbies, Lifestyle, etc. - Household: Number of Children, Number of Adults, IP Address, etc. - Behaviors: Brand Affinity, App Usage, Web Browsing, etc. - Firmographics: Industry, Company, Occupation, Revenue, etc. - Retail Purchase: Store, Category, Brand, SKU, Quantity, Price, etc.
Here's the data schema:
Person_id
first_name
last_name
gender
age
year
month
day
full_address
city
state
zipcode
zip4
delivery_point_bar_code
carrier_route
walk_sequence_code
fips_state_code
fips_county_code
country_name
latitude
longtitude
address_type
metropolitan_statistical_area
core_based_statistical_area
census_tract
census_block
census_block_group
primary_address
pre_address
street
post_address
address_suffix
address_secondline
address_abrev
census_median_home_value
home_market_value
property_build_year
property_with_ac
property_with_pool
property_with_water
property_with_sewer
general_home_value
property_fuel_type
household_id
census_median_household_income
household_size
occupation_home_office
dwell_type
household_income
marital_status
length_of_residence
number_of_kids
pre_school_kids
single_parent
working_women_in_house_hold
homeowner
children
adults
generations
net_worth
education_level
education_history
occupation
occuptation_business_owner
credit_lines
credit_card_user
newly_issued_credit_card_user
credit_range_new
credit_cards
loan_to_value
and alot more...