Digital Marketing Data
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At Nomad Data we help you find the right dataset to address these types of needs and more. Sign up today and describe your business use case and you'll be connected with data vendors from our nearly 3000 partners who can address your exact need.
Digital marketing has recently become one of the most important aspects of a successful business. Companies need to understand how to effectively use the various types of data available to make smart decisions about their marketing strategies. This includes ad targeting data, advertising spend data, entertainment data, marketing intelligence data, media measurement data, and mobile app data. All of these datasets provide insights into different aspects of digital marketing that can help businesses make more informed decisions.
Ad targeting data is gathered from online platforms like Facebook and Google Ads, and reveals important information about which audiences are most likely to engage with a certain brand or type of advertising. It can also help to identify what targeting options are the most effective for reaching a desired group of customers. Advertising spend data is also extremely valuable and provides an overview of how much money a company has spent, and in what areas, to reach their target audience. This data can provide insights into how to better allocate marketing budget in order to reach potential customers, or how much a company is spending relative to its competitors.
Entertainment data is data that is collected from different sources such as streaming shows and movies, music playlists, and other digital entertainment platforms. This type of data provides insights into popular topics, trends and tastes of different segments. It can give companies a better understanding of what type of content is most likely to engage their audience.
Marketing intelligence data is often collected from sources like market research surveys and focus groups. This data reveals key insights into consumer behavior and allows companies to better understand the customers they are targeting. It can also inform marketing strategies by shedding light on what message resonates with the target audience.
Media measurement data gathers data from various media outlets such as TV and radio programs, websites, blogs and print ads. This type of data provides metrics that can identify how well a brand’s message resonates with the public. Companies can use this data to gain an understanding of what types of campaigns are most effective and how different strategies are impacting their brand.
Mobile app data is data gathered from smartphone and tablet applications that provides insights into user behavior and preferences. This data can help businesses optimize and personalize their mobile apps to better meet the needs of their customers.
All of these datasets combined provide businesses with a better understanding of digital marketing and how to get the most bang for their buck. Additionally, these datasets can be used to track CPM rates over time for various platforms like Snapchat, Pinterest, TikTok and Return on Ad Spend (ROAS). By utilizing data from multiple sources, companies can make smarter decisions about their digital marketing campaigns and maximize their ROI.
Overall, the use of data in digital marketing is becoming increasingly important as companies strive to stay competitive in an ever-evolving digital landscape. By utilizing ad targeting data, advertising spend data, entertainment data, marketing intelligence data, media measurement data, and mobile app data, businesses can get a clearer picture of their audiences and make more informed decisions about their campaigns. Understanding the different types of datasets and how they can be used to gain insights into digital marketing can be the key to success in a highly competitive market.
Ad targeting data is gathered from online platforms like Facebook and Google Ads, and reveals important information about which audiences are most likely to engage with a certain brand or type of advertising. It can also help to identify what targeting options are the most effective for reaching a desired group of customers. Advertising spend data is also extremely valuable and provides an overview of how much money a company has spent, and in what areas, to reach their target audience. This data can provide insights into how to better allocate marketing budget in order to reach potential customers, or how much a company is spending relative to its competitors.
Entertainment data is data that is collected from different sources such as streaming shows and movies, music playlists, and other digital entertainment platforms. This type of data provides insights into popular topics, trends and tastes of different segments. It can give companies a better understanding of what type of content is most likely to engage their audience.
Marketing intelligence data is often collected from sources like market research surveys and focus groups. This data reveals key insights into consumer behavior and allows companies to better understand the customers they are targeting. It can also inform marketing strategies by shedding light on what message resonates with the target audience.
Media measurement data gathers data from various media outlets such as TV and radio programs, websites, blogs and print ads. This type of data provides metrics that can identify how well a brand’s message resonates with the public. Companies can use this data to gain an understanding of what types of campaigns are most effective and how different strategies are impacting their brand.
Mobile app data is data gathered from smartphone and tablet applications that provides insights into user behavior and preferences. This data can help businesses optimize and personalize their mobile apps to better meet the needs of their customers.
All of these datasets combined provide businesses with a better understanding of digital marketing and how to get the most bang for their buck. Additionally, these datasets can be used to track CPM rates over time for various platforms like Snapchat, Pinterest, TikTok and Return on Ad Spend (ROAS). By utilizing data from multiple sources, companies can make smarter decisions about their digital marketing campaigns and maximize their ROI.
Overall, the use of data in digital marketing is becoming increasingly important as companies strive to stay competitive in an ever-evolving digital landscape. By utilizing ad targeting data, advertising spend data, entertainment data, marketing intelligence data, media measurement data, and mobile app data, businesses can get a clearer picture of their audiences and make more informed decisions about their campaigns. Understanding the different types of datasets and how they can be used to gain insights into digital marketing can be the key to success in a highly competitive market.
