A decade ago, TV ads meant buying a slot in between a popular program or a fixed time slot and expecting your target audience to take note of your brand at that exact time. The entire game of showcasing … Continue reading
A decade ago, TV ads meant buying a slot in between a popular program or a fixed time slot and expecting your target audience to take note of your brand at that exact time. The entire game of showcasing Ads has now found its competitors – the web! And from here the emergence of digital ads and its data came to light . Digital ads are not new, we have been seeing them for decades. Their market share saw a boom in numbers in the recent time, and more due to COVID19 led lockdown. Advertisements are now on mobile, on web, in newspapers and on hoardings and billboards, Digital Ads however are a deal breaker when it comes to getting ROI, exact numbers and statistics for measuring success and forward strategy planning. It is very important hence, to deploy and use a good Digital Ads Managing tool.
Nowadays, cloud TV is becoming a data-rich ecosystem, unlocking a new measurement attribution and targeting novel opportunities.
Developing a TV tactic actually raises two questions:
Answer to these questions is that brands are hitting a vast amount of accessible data to define and find out their audience.
First party data from digital ads is crucial to understand clients and there is a varying level of first party data across several verticals. To generate a complete view of your end users, you need to connect your first-party data with third-party data sets. This offers improved targeting, dimension, and optimization.
As more and more ad publishers bring first-party data into the focus, they are getting to discover efficiencies and scale up their revenue with supply side data strategy.
The existence of a vast majority of video hosting platforms are helpful in collecting data from audiences and at the same time making it challenging for publishers to gain visibility from their target audience. Segregating your data according to the audience’s buying strategies can help offer you a clear picture by matching your inventory with the product or services customers are opting for. Media owners could also benefit from this as this eliminates the requirements of sending identifiers out in the bidstream, offering them the control they require to preserve privacy as well as make sure that data stays secure in their environment.
Thanks to audience data, you can create a customized list of your targeted group of audience. You can classify them into separate groups such as:
Audience data can help publishers reach a relevant group of end users with quality content. Targeting groups according to their interests can help you easily boost the efficiency of your campaigns as well as increase your ROI.
If you collect data from Live TVs, you can place your own segmentation rules that represent characteristics of your target audience and then generate custom segments to utilize the digital ad campaign or monetize it via demand-side platforms.
First of all, gather the data and then find the profile of the customers that match your updated profile requirement. This will help you expand your customers’ network with clients.
Algorithm based data helps you identify robots and eliminate Ad fraud. It analyzes your visitor’s browser history or time spent on your website and helps discover non-human activities. Refined data helps you save money spent on robot traffic.
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Written by: Ankit Jena
Ankit is Content Writer for Muvi’s Marketing unit. He is a passionate writer with 5+ Years of Experience in Content Creation And Development. In his past time, he likes to dance, play football and google various things to quench his thirst for knowledge.
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