The Next Generation of Paid Media Automation Has Arrived
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The Next Generation Of Paid Media Automation Has Arrived

Take a short tour of Sentic

Take a short tour of Sentic

Detection

Sentic continuously scrapes social, news, and weather data in real-time to detect relevant trends as they occur.

Decision

Sentic ties this data to historical performance to understand the optimal optimization to be made in order to maximize performance—spanning across campaigns, ad groups, keywords, and landing pages.

Context

Sentic’s popularity and sentiment analysis engines analyze real-time data to understand the context of trends, how consumers are reacting, and where geographically there are pockets of opportunity.

Delivery

In real time, Sentic automatically delivers optimizations across desired channels, aligning the advertiser to the rise and fall of impactful trends as they occur. Machine Learning allows for proactive optimization delivery moving forward.

Natural Language Processing
Our system first extracts key terms from paid media keywords, forming a unique profile for every account. Then, our system crawls the Internet for relevant news articles, blog and social media posts related to that profile.
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Dynamic Data Clustering
After the profile and relevant content is collected, the individual posts are placed into a clustered topic using machine learning. Through this process, unstructured data is accurately organized to form measurable data sets.
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Contextualized Data
The organized social data is combined with advertising performance data and weather data from targeted locations to provide an unparalleled understanding of consumer demand. From there, the system acts by making the strategic decisions needed to achieve growth.
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Natural Language Processing

Our system first extracts key terms from paid media keywords, forming a unique profile for every account. Then, our system crawls the Internet for relevant news articles, blog and social media posts related to that profile.

Dynamic Data Clustering

After the profile and relevant content is collected, the individual posts are placed into a clustered topic using machine learning. Through this process, unstructured data is accurately organized to form measurable data sets.

Contextualized Data

The organized social data is combined with advertising performance data and weather data from targeted locations to provide an unparalleled understanding of consumer demand. From there, the system acts by making the strategic decisions needed to achieve growth.