Filter advertising activity by Topic, Sub-Topic, and Tags to focus on the specific markets and segments that matter.
Compare direct competitors within a more relevant competitive set, without unrelated brands, activity, or campaigns.
Start with a broad category and follow the data into specific topics, segments, and attributes to uncover rivals, shifts, and blind spots.
See what is working within a specific market, helping teams validate decisions instead of relying on broad assumptions or past strategies.
Analyze advertising by Topic, Sub-Topic, and Tags, including relevant attributes such as genre, subgenre, sugar-free, decaf, and free-to-play. Each taxonomy is structured around the terminology and level of detail that matter within its market.
Start with a broad advertiser, brand, or category view, then follow the data into more specific topics and tags. Surface competitors, trends, and market activity that may have remained hidden inside a broader category.
Generate cleaner reports with fewer irrelevant results and less manual filtering. Structured taxonomy also provides stronger context for more reliable AI-assisted analysis.
Review advertising activity and creative strategies for specific Topics, Sub-Topics, and Tags to understand which messages, formats, and approaches are gaining traction.
Use topic-level market evidence as an added layer of confidence for planning, benchmarking, and strategic decisions, rather than relying on broad category averages or outdated assumptions.
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