How does the Cognitiv Device ID Graph improve CTV advertising campaigns?
Our Device ID Graph allows for a more holistic understanding of a viewer's preferences and behaviors by incorporating insights from their activity on other devices. This multi-dimensional view enables advertisers to deliver more relevant and engaging ads on CTV platforms, optimized based on the user's entire digital footprint. By targeting users rather than devices, Cognitiv ensures that messaging is consistent and coherent across all touchpoints, enhancing the impact and efficiency of CTV campaigns.
How does Cognitiv address common challenges in the CTV advertising landscape?
Cognitiv's Performance CTV is specifically designed to tackle key industry challenges including ad repetition, lack of personalization, and transparency issues. By using deep learning to optimize ad frequency and ensure ads are shown to the right users at the right times, Cognitiv reduces ad fatigue while improving relevance and user experience.
How can an advertiser implement Curation in their campaign strategy?
Advertisers can implement Curation by targeting the dynamic Deal ID we provide, which has been trained and optimized by a custom deep learning algorithm. This process requires minimal setup and is compatible with any DSP, allowing for easy activation and significant performance improvements.
Is Curation suitable for advertisers with existing DSP partnerships?
Absolutely. Curation is designed for advertisers who prefer to continue using their current DSPs but wish to enhance their campaigns with deep learning capabilities. This product seamlessly integrates with any DSP, providing a more advanced impression-level optimization-based tactic to complement your DSP AI optimizer.
How is Curation different from the Deep Learning DSP?
Where the Deep Learning DSP is a managed service offering done in-house for clients, Curation differs by bringing our deep learning technology to any DSP of the advertiser’s choice. This product automates media buying through custom AI algorithms that predict conversion likelihood for each impression and only sends those that have a high probability of leading to a conversion.
Who can benefit from using the Deep Learning DSP, and how is it accessed?
Any advertiser looking for data science-driven optimization and the ability to hit complex KPIs across devices, will benefit from this product. Access is granted through Cognitiv’s managed service, where a dedicated team assists in leveraging Cognitiv’s full potential for unparalleled programmatic campaign performance.
How does the Deep Learning DSP utilize first-party data for campaign optimization?
Unlike other DSPs, we do not restrict ourselves by buying predefined audience segments, which can limit scale. Instead, our DSP integrates first-party data directly into its algorithms and combines it with contextual information from our 250 million-strong Device ID graph. This approach helps us understand what’s crucial in each moment, enabling us to scale effectively and discover new customers. The result is highly personalized and impactful targeting.
What advantages does Cognitiv’s Deep Learning DSP offer over traditional DSPs?
This product is powered by Cognitiv’s most advanced deep learning algorithms. It is the only DSP with the ability to evaluate user and context in one unified auction in real-time, predicting the probability of conversion for every ad opportunity. Its flexibility sets it apart—marketers can bring their own custom business KPIs, such as incremental sales, customer lifetime value (CLTV), in-store foot traffic, or brand engagement metrics. The platform then optimizes campaigns to achieve these specific goals, ensuring your ad dollars are spent efficiently and effectively, driving measurable results tailored to your business.
How do I get started with ContextGPT for my advertising campaigns?
To begin with ContextGPT, advertisers can simply provide a media brief, brand description, or even campaign goals. ContextGPT's AI then analyzes and identifies suitable content, offering a list of URLs where ads can be placed for maximum relevancy and engagement. ContextGPT deals can then be sent to the DSP of your choice.
Can ContextGPT be used for campaigns focusing on privacy-centric targeting?
Yes. ContextGPT is designed for the privacy-centric media ecosystem, making it ideal for advertisers looking to reach audiences without relying on third-party cookies or personal user data. It identifies quality content based on context and sentiment, aligning with privacy regulations and consumer preferences.
What is ContextGPT, and how does it differ from traditional contextual targeting?
ContextGPT leverages large language models and deep learning technology to redefine contextual targeting. Unlike traditional methods that rely on keyword lists and domain matching, ContextGPT brings a human-like understanding of a web page’s content and sentiment, ensuring relevant ad placements aligned with your target audience’s current interests in real-time.
What products does Cognitiv offer?
Cognitiv offers several products tailored to various advertising needs, including our Deep Learning DSP, Curation, ContextGPT, and Performance CTV. Each offering harnesses the power of deep learning in unique ways that align with your brand's specific needs, challenges, and goals.
What makes Cognitiv different from other advertising platforms?
What sets Cognitiv apart is its unparalleled focus on performance. Powered by advanced deep learning, our platform evaluates user and context data in real-time to make precise bidding decisions. Unlike traditional machine learning, Cognitiv’s algorithms detect subtle, often overlooked patterns in consumer behavior, ensuring every impression is optimized to drive results. Our self-learning technology continuously adapts to deliver peak performance, maximizing the impact of your campaigns with unmatched efficiency and accuracy.
What is Cognitiv?
Cognitiv is a performance-first advertising partner powered by proprietary deep learning models. Designed to deliver measurable results, Cognitiv optimizes campaigns in real-time, driving higher conversions, reducing acquisition costs, and maximizing return on ad spend. Its Deep Learning Advertising Platform (DLAP) ensures every campaign is fine-tuned to achieve exceptional performance across all digital channels.