In today’s data-driven world, businesses are constantly seeking ways to gain a competitive edge and understand better potential customer interests and needs. Approximately 65.7% of the global population, which is equivalent to around 5.30 billion people, are active internet users every day. 4.8 billion people use social media for about 2 hours a day with an increasing trend since 2012. Social media platforms play a big role in our digital space, especially Twitter (X) which is a powerful resource for businesses on latest news, developments and trends.  How Does Twitter (X) Data Serve as a ..read more

Businesses in the region of North America are attempting to advance their digitalization, by utilizing advanced tools and technology to open up new business opportunities and possibilities of generating income. It is expected that the North American programmatic advertising market will have a CAGR of 17.18% in the period 2022-2027. Consequently, the market for programmatic advertising in North America is expanding as more customers and companies use digital systems to exchange information, build product and service brand awareness and reach their target audiences at scale.   Programm ..read more

In today’s fast-paced business environment, data has become the lifeblood of organizations. The ability to gather, analyze, and interpret data has become crucial for making informed business decisions that facilitate further growth. This is where analytics comes into play. Analytics is the process of extracting meaningful insights from data to drive business growth and improve operational efficiency. It enables organizations to understand customer behavior, identify market trends, optimize processes, and gain a competitive edge in the industry. What Are The Traditional Data Sources for Analyti ..read more

In today’s fast-paced digital landscape, where customers are bombarded with countless marketing messages, standing out and capturing their attention has become more challenging than ever. That’s where hyper-personalization comes into play. It’s not just about addressing customers by their first names; it’s about going above and beyond to understand their unique preferences, needs, and behaviors.  By leveraging the power of data, analytics, and AI, businesses can create tailored experiences that make customers feel valued and understood. Hyper-personalization is the secret sauce that not o ..read more

CTV advertising is expected to experience rapid growth and is projected to increase by 13.2% globally in 2023, reaching a total revenue of $25.9 billion according to GroupM’s mid-year forecast. In today’s digital age, the rise of connected TV (CTV) advertising has opened up new avenues for brands to enhance their marketing strategies. CTV advertising has quickly gained popularity among marketers due to its direct-to-consumer approach, allowing brands to establish direct connections with their target audience. With its engaging potential, precise targeting capabilities, and impressive results ..read more

In the face of the global economic situation and the soon to come decline of third-party identifiers, programmatic advertising in the Asia-Pacific (APAC) region is experiencing a strong upward trend. The advertising economy in the Asia-Pacific (APAC) region is expected to grow by 7%, surpassing the global average of 5%. Moreover, the programmatic advertising spending in the APAC region has shown no sign of slowing down and accounts for 18.46% of YoY growth rate between 2017 to 2026.  Overview of the Programmatic Advertising Industry in APAC The biggest countries in the APAC region are Chi ..read more

What is Data Taxonomy? Data taxonomy is a method of sorting and grouping data into different categories and subcategories based on their similarities. It helps in organizing information in a structured way by creating a hierarchical structure and following specific guidelines to classify and label objects within a specific field of knowledge.  In simpler terms, data taxonomy is like creating a well-organized filing system for data, making it easier to find and understand. What is the objective of data taxonomy?  The purpose of a data taxonomy is to improve data organization, quality ..read more

Key Points:  A data taxonomy is a system that classifies and organizes data in a hierarchical manner within an organization. A data taxonomy provides a standardized framework for organizing and accessing data, making it easier to search, analyze, and manage information effectively. Data categorization in adtech involves the classification and organization of different data elements pertaining to advertising campaigns, audience segments, and customer behavior. In the AdTech and MarTech categorizing data aims to align it with business objectives, enabling effective decision-making and opti ..read more

Data is the new oil and the most valuable asset in the 21st century. Data is used in every industry, from marketing, finance to retail. It is used to improve efficiency, make better decisions, and drive innovation. Analyzing data in different configurations, methods and techniques allows us to get even more specific insights that optimize various business processes which have a significant impact on companies growth.   This article explores the importance of data analysis, the process involved, the benefits it offers, the challenges it presents, and the future trends shaping its evol ..read more

Key Points: Traditional data sources like financial statements and market reports are no longer the sole means of gaining insights in the data-driven world.  Alternative data refers to non-traditional data sources that provide unique insights into various aspects of business operations.  Alternative data can revolutionize decision-making processes by providing valuable and extensive market insights.  Examples of alternative data include digital traffic data, activity feed, keywords feed, clickstream, geo-location data, ESG data, and credit card transactions. Alternative data is ..read more