- Discover Relevant Topics
- Create Semantic Mapping
- Analyze Bid Stream
- Curate Brand Marketplace
- Push Deal ID to DSP
Discover Relevant Topics
The discovery process starts with understanding a customer’s needs. By reviewing any current targeting, examining ideal environments for advertisements, and considering any contemporary brand safety dangers, Quintesse can begin to form a semantic framework of relevant topics and themes.
- Analyze Brand Site and Product Landing Pages
- Analyze Competitors’ Sites
- Deep Dive Into Key Contexts
- Publisher Reviews, Analysis, Whitepapers, etc.
- Breaking News and Related Trends
- General SEO List
Create Semantic Mapping
Based on the brand’s existing keywords and additional information from the discovery phase, we start to build out semantic logic in the form of lemma maps with our guided and curated machine learning tools, furthering reach and contextual depth.
Analyze Bid Stream
Quintesse analyzes the bid stream from a variety of external sources. The content of each unique URL in the bid stream is analyzed and assigned mapping of both standard and curated segments plus their confidence scores.
Segment and domain-based avails are then generated, based on Date, Platform, Geo, SSP, Domain and Segment.
Curated Marketplace Deal IDs
SSP generates platform-specific Deal IDs via:
Matched Quintesse placement IDs
Boolean logic based on Quintesse segment codes, plus domains
SSP pushes the Deal IDs to the DSP via:
Deal objects within the bid stream
The brand then bids on those Deal IDs via their DSP.
Curated Machine Learning
Under the careful guidance of our Knowledge Engineering team, Quintesse employs machine learning to ensure that semantic segments don’t stagnate and instead evolve over time. This process will add new relevant topics that are relevant to a brand’s campaign whilst removing those that fall out of relevance.
The Quintesse UI provides complete transparency about the contextual makeup of a brand’s campaigns and segments. Brands can access day-by-day reporting statistics, including full, exportable data on exactly which URLs a campaign’s creative has appeared, featuring:
- Q Score, a custom metric that shows what percentage of the inventory’s content matches a brand’s custom preferences.
- Full-page analysis of each URL’s standard and custom contextual details
- URL-specific brand safety and suitability details
- Overview of see through %