Semantic Advertising

DataPop’s innovative strategies for advertising are founded on semantic technology, which allows marketers to dynamically connect their offers and advertising solutions to a consumer’s intent. We have had enormous success using this approach for Search Engine Marketing Ads (SEM) and Product Listing Ads (PLA), and we are looking forward to extending this technology to all digital media including SEO, display, social, and mobile advertising.

Semantic Advertising consists of 3 core components:

Solutions

A technique used to select and classify a targeted audience based on the interpretation of content created by consumers (search queries, blogs, tweets, likes, etc.) or publishers (web pages, video content, images, etc.).  By understanding the meaning behind their content, and then assigning to them distinct categories, advertisements can be matched to their audience by automated means.

Solutions

Develops meaningful and optimized advertising through a semantic network of concepts and relationships that links ads to intent and people.  Advertising concepts such as consumer intent, target, offer, products, services, branding, and location are converted into semantic object models and then machine learning algorithms are used to generate optimized ad campaigns.

Solutions

Semantic data models shed light on the challenges of big data, which on its own is generally “dark” data. Incorporating the semantic relationships among entities enables a deeper and more meaningful analysis of data, which in turn can spark the delivery of the right ad message to the right consumer.

Explore Semantic Advertising
Solutions Solutions

DataPop’s semantic advertising technology creates engaging, relevant ads that match an advertiser’s most relevant offerings to consumer intent.

Solutions Solutions

DataPop’s semantic advertising technology helps retailers optimize their presence in Product Listing Ads (PLA) on Google and Bing.