GumGum

Name: GumGum
Brand: GumGum

GumGum is a contextual advertising technology platform that analyzes text, images, and video to enable cookie-less targeting, serve prominent creative formats across display/video/CTV, and provide attention-based measurement for brand-focused campaigns.

Est 2007|Valuation $675M|Raised $141.8M|25 Ref Customers

LinkedIn 38K|Web traffic 950K|FTEs 400|HQ Santa Monica, California, US

MarketsDemand-Side Platforms (DSP)

01Competitive Landscape

Narrative comparison

GumGum vs Seedtag - Both vendors compete in contextual targeting. GumGum combines contextual analysis with prominent creative formats and attention measurement, while Seedtag emphasizes contextual AI and premium contextual access. Buyers should compare taxonomy explainability, CTV coverage, and creative offerings. GumGum vs Peer39 - Peer39 is focused on contextual categories and suitability controls, including CTV program-level controls. GumGum offers a combined stack that includes creative formats and attention measurement. Buyers should evaluate whether they need a data/control layer versus a platform that also handles creative and media execution. GumGum vs DV/IAS (verification-led suites) - Verification vendors such as DoubleVerify and IAS tend to prioritize independent verification, standardized measurement, and cross-channel suitability controls. GumGum’s offering may be more focused on contextual intelligence and creative formats; buyers that prioritize independent verification and standardized measurement frameworks may prefer verification-led vendors.

Adoption trends / market presence

Vendor-published scale claims and historical fundraising activity indicate GumGum is an established participant in contextual adtech
Market commoditization of contextual offerings is an industry trend; many SSPs and DSPs now provide contextual capabilities, increasing competitive pressure

	GumGum	Seedtag	Peer39
Typical pricing model	Not publicly listed (sales-led; likely media-spend based)	Not publicly listed (sales-led)	Not publicly listed (sales-led/data fees)
Typical use case	Brands/agencies seeking contextual targeting complemented by rich creative formats and attention measurement	Brands seeking contextual AI and premium contextual inventory access	Programmatic buyers needing pre-bid contextual/suitability controls and CTV context
Key strengths	Multi-modal contextual analysis (text, images, video) combined with prominent creative formats and vendor-provided attention measurement; vendor-published scale claims exist	Contextual positioning with focus on contextual AI and premium inventory access	Emphasis on contextual categories, suitability controls, and CTV program-level controls
Key weaknesses / risks	Limited public third-party product reviews; many performance claims are vendor-published and require validation; transparency depends on sales process	Quote-only pricing and variable performance by inventory access and setup	Primarily a data/control product; creative execution may require additional partners

01Competitive Landscape

Narrative comparison

GumGum vs Seedtag

Both vendors compete in contextual targeting. GumGum combines contextual analysis with prominent creative formats and attention measurement, while Seedtag emphasizes contextual AI and premium contextual access. Buyers should compare taxonomy explainability, CTV coverage, and creative offerings.

GumGum vs Peer39

Peer39 is focused on contextual categories and suitability controls, including CTV program-level controls. GumGum offers a combined stack that includes creative formats and attention measurement. Buyers should evaluate whether they need a data/control layer versus a platform that also handles creative and media execution.

GumGum vs DV/IAS (verification-led suites)

Verification vendors such as DoubleVerify and IAS tend to prioritize independent verification, standardized measurement, and cross-channel suitability controls. GumGum’s offering may be more focused on contextual intelligence and creative formats; buyers that prioritize independent verification and standardized measurement frameworks may prefer verification-led vendors.

Adoption trends / market presence

Vendor-published scale claims and historical fundraising activity indicate GumGum is an established participant in contextual adtech
Market commoditization of contextual offerings is an industry trend; many SSPs and DSPs now provide contextual capabilities, increasing competitive pressure

	GumGum	Seedtag	Peer39
Typical pricing model	Not publicly listed (sales-led; likely media-spend based)	Not publicly listed (sales-led)	Not publicly listed (sales-led/data fees)
Typical use case	Brands/agencies seeking contextual targeting complemented by rich creative formats and attention measurement	Brands seeking contextual AI and premium contextual inventory access	Programmatic buyers needing pre-bid contextual/suitability controls and CTV context
Key strengths	Multi-modal contextual analysis (text, images, video) combined with prominent creative formats and vendor-provided attention measurement; vendor-published scale claims exist	Contextual positioning with focus on contextual AI and premium inventory access	Emphasis on contextual categories, suitability controls, and CTV program-level controls
Key weaknesses / risks	Limited public third-party product reviews; many performance claims are vendor-published and require validation; transparency depends on sales process	Quote-only pricing and variable performance by inventory access and setup	Primarily a data/control product; creative execution may require additional partners