Near Company Profile

Background

Overview

Near is a global leader in data intelligence, specializing in providing comprehensive insights into consumer behavior, locations, and products. Founded in 2012, the company processes data from over 1.6 billion unique user IDs across 44 countries, enabling businesses to make informed, data-driven decisions. Headquartered in Singapore, Near operates offices in the United States, United Kingdom, India, Japan, and Australia.

Mission and Vision

Near's mission is to empower organizations with actionable intelligence by transforming vast amounts of location-based data into meaningful insights. The company's vision is to be the most trusted source of data intelligence, enabling businesses to understand and engage consumers effectively in both physical and digital spaces.

Primary Area of Focus

Near focuses on delivering data intelligence solutions that help businesses understand consumer behavior, optimize marketing strategies, and enhance operational efficiency. By analyzing location-based data, Near provides insights into where consumers are visiting, shopping, dining, and traveling, enabling enterprises to take action in real-time.

Industry Significance

In the realm of data intelligence, Near stands out by offering a privacy-led approach to data collection and analysis. Its platform processes data from a vast number of unique user IDs, providing a comprehensive view of consumer behavior across multiple industries, including retail, real estate, restaurants, tourism, technology, marketing, and more.

Key Strategic Focus

Core Objectives

Data-Driven Decision Making: Enable businesses to make informed decisions by providing accurate and timely data insights.

Consumer Behavior Analysis: Offer deep insights into consumer behavior patterns to optimize marketing and operational strategies.

Privacy and Compliance: Maintain a strong focus on privacy and data compliance, ensuring that data collection and analysis adhere to global standards.

Specific Areas of Specialization

Location-Based Data Analysis: Specialize in analyzing location-based data to understand consumer movements and preferences.

Real-Time Insights: Provide real-time data insights to enable businesses to act promptly on emerging trends.

Cross-Industry Applications: Serve a diverse range of industries, including retail, real estate, restaurants, tourism, technology, marketing, and more.

Key Technologies Utilized

Artificial Intelligence (AI): Leverage AI to process and analyze large datasets, extracting meaningful patterns and insights.

Machine Learning: Employ machine learning algorithms to predict consumer behavior and trends.

Data Aggregation: Aggregate data from various sources, including mobile carriers, data providers, app partners, and Wi-Fi operators, to create comprehensive consumer profiles.

Primary Markets or Conditions Targeted

Retail: Assist retailers in understanding foot traffic and consumer preferences to optimize store locations and marketing efforts.

Real Estate: Provide insights into location desirability and consumer behavior to inform property development and investment decisions.

Tourism: Analyze tourist movements and preferences to enhance destination marketing and service offerings.

Technology and Marketing: Support tech companies and marketers in audience segmentation and campaign effectiveness.

Financials and Funding

Funding History

As of July 2019, Near had raised a total of $134 million in funding across multiple rounds. The most recent funding round, a Series D, raised $100 million from Greater Pacific Capital.

Total Funds Raised

$134 million

Recent Funding Rounds

Series D (July 2019): $100 million from Greater Pacific Capital.

Notable Investors

Sequoia Capital

JP Morgan Private Equity Group

Cisco Investments

Telstra Ventures

Global Brain Japan

Intended Utilization of Capital

The funds have been utilized to expand Near's data intelligence platform, enhance AI capabilities, and support global expansion efforts.

Pipeline Development

Key Pipeline Candidates

Near's primary offerings include:

Allspark: An AI-driven marketing platform that provides audience curation and visualization to optimize marketing ROI.

Pinnacle: A data intelligence platform that offers insights into consumer behavior and location analytics.

Vista: A geospatial intelligence platform that delivers data, analytics, and insights on places important to businesses.

Stages of Development

Allspark, Pinnacle, and Vista are fully developed and actively utilized by clients across various industries.

Target Conditions

These platforms are designed to address challenges in marketing optimization, consumer behavior analysis, and location intelligence.

Relevant Timelines for Anticipated Milestones

Specific timelines for future product developments or enhancements have not been publicly disclosed.

Technological Platform and Innovation

Proprietary Technologies

Allspark: An AI-driven marketing platform that enables audience curation and visualization to optimize marketing ROI.

Pinnacle: A data intelligence platform offering insights into consumer behavior and location analytics.

Vista: A geospatial intelligence platform providing data, analytics, and insights on places important to businesses.

Significant Scientific Methods

Data Aggregation: Combining data from various sources, including mobile carriers, data providers, app partners, and Wi-Fi operators, to create comprehensive consumer profiles.

Machine Learning Algorithms: Utilizing machine learning to predict consumer behavior and trends.

AI-Driven Analytics: Employing AI to process and analyze large datasets, extracting meaningful patterns and insights.

Leadership Team

Key Executives

Anil Mathews: Founder and CEO. Anil has a background in technology and entrepreneurship, having founded Near in 2012.

Kerry Pearce: Global Vice President of Product Marketing. Kerry leads product marketing initiatives, focusing on enhancing Near's product offerings and market presence.

Leadership Changes

No significant leadership changes have been publicly disclosed in recent times.

Competitor Profile

Market Insights and Dynamics

The data intelligence industry is characterized by rapid growth, driven by the increasing importance of data-driven decision-making across various sectors. Companies are leveraging data to gain competitive advantages, optimize operations, and enhance customer experiences.

Competitor Analysis

OnAudience: A competitor offering data intelligence solutions, focusing on audience insights and analytics.

Habile Data: Provides data-driven marketing solutions, specializing in consumer behavior analysis.

Span Global Services: Offers data intelligence and marketing solutions, serving a broad range of industries.

Strategic Collaborations and Partnerships

Near has established partnerships with various data providers and technology companies to enhance its data intelligence capabilities and expand its service offerings.

Operational Insights

Near differentiates itself through its privacy-led approach to data collection and analysis, ensuring compliance with global data protection standards. This focus on privacy builds trust with clients and consumers, setting Near apart in the competitive landscape.

Strategic Opportunities and Future Directions

Strategic Roadmap

Near aims to continue expanding its global footprint, enhancing its AI and machine learning capabilities, and developing new products to address emerging market needs.

Future Business Directions

Global Expansion: Increase presence in untapped markets to broaden customer base.

Product Innovation: Develop new data intelligence solutions to meet evolving business requirements.

Strategic Partnerships: Forge alliances with complementary technology providers to enhance service offerings.

Opportunities for Expansion

By leveraging its existing strengths in data intelligence and privacy compliance, Near is well-positioned to capitalize on the growing demand for data-driven insights across various industries.