Frosmo

Name: Frosmo
Brand: Frosmo

We've got the winning formula in delivering the best personalization results in the market

Est 2008|Raised $13.4M|25 Ref Customers

LinkedIn 10K|Web traffic 2K|FTEs 13|HQ Helsinki, Uusimaa, FI

MarketsPersonalization Engines A/B Testing & Experimentation

01Competitive Landscape

Narrative analysis

Direct competitors and differentiators: - Platforms such as Dynamic Yield, Bloomreach, and AB Tasty compete in enterprise personalization and experimentation; they often have larger global footprints and broader analyst coverage. The vendor positions Frosmo as adaptable via its JavaScript approach intended to work with varied ecommerce/CMS stacks. - Compared with Nosto, Frosmo appears to be positioned for more consultative enterprise engagements rather than self-serve SMB adoption. - For buyers whose primary requirement is advanced search and discovery, specialized search vendors (Algolia, Klevu) may provide stronger search-specific capabilities and clearer pricing. Pricing transparency and buyer friction: - Frosmo: quote-based, higher evaluation friction - Algolia/Klevu/Nosto: publish at least entry-level pricing, which can simplify initial evaluation Market share / adoption trends (imperfect signals): - Web technology detection indicates higher usage in certain markets (for example, the vendor's home market) and reported detections on multiple sites; such tracking is an imperfect signal and may misclassify scripts.

	Frosmo	Algolia	Nosto
Starting Price	Quote-based (no public pricing found)	Free “Build” plan; paid usage-based plans	Incubator plan with published entry pricing and subsequent fees for larger merchants
Typical focus	Web personalization, recommendations, and testing layer for ecommerce and iGaming; JS-layer integration	Site search and discovery, developer-focused tooling, scalable infrastructure	Ecommerce-focused personalization and recommendations, positioned for smaller retailers/mid-market
Key strength	Configurability for web personalization and an integrated experimentation layer	Search relevance tooling, scaling, and developer ecosystem	Published entry pricing and packaged ecommerce features for smaller merchants
Key weakness	Pricing opacity; onboarding and training needs; smaller public review footprint	Not a full experimentation/personalization suite without additional components; can be costly at scale	Feature depth for enterprise personalization may be less comprehensive than some enterprise platforms

01Competitive Landscape

Narrative analysis

Direct competitors and differentiators:

Platforms such as Dynamic Yield, Bloomreach, and AB Tasty compete in enterprise personalization and experimentation; they often have larger global footprints and broader analyst coverage. The vendor positions Frosmo as adaptable via its JavaScript approach intended to work with varied ecommerce/CMS stacks.
Compared with Nosto, Frosmo appears to be positioned for more consultative enterprise engagements rather than self-serve SMB adoption.
For buyers whose primary requirement is advanced search and discovery, specialized search vendors (Algolia, Klevu) may provide stronger search-specific capabilities and clearer pricing.

Pricing transparency and buyer friction:

Frosmo: quote-based, higher evaluation friction
Algolia/Klevu/Nosto: publish at least entry-level pricing, which can simplify initial evaluation

Market share / adoption trends (imperfect signals):

Web technology detection indicates higher usage in certain markets (for example, the vendor's home market) and reported detections on multiple sites; such tracking is an imperfect signal and may misclassify scripts.

	Frosmo	Algolia	Nosto
Starting Price	Quote-based (no public pricing found)	Free “Build” plan; paid usage-based plans	Incubator plan with published entry pricing and subsequent fees for larger merchants
Typical focus	Web personalization, recommendations, and testing layer for ecommerce and iGaming; JS-layer integration	Site search and discovery, developer-focused tooling, scalable infrastructure	Ecommerce-focused personalization and recommendations, positioned for smaller retailers/mid-market
Key strength	Configurability for web personalization and an integrated experimentation layer	Search relevance tooling, scaling, and developer ecosystem	Published entry pricing and packaged ecommerce features for smaller merchants
Key weakness	Pricing opacity; onboarding and training needs; smaller public review footprint	Not a full experimentation/personalization suite without additional components; can be costly at scale	Feature depth for enterprise personalization may be less comprehensive than some enterprise platforms