Cookie3

Name: Cookie3
Brand: Cookie3

AI Native

AI Data Layer for Web3 enterprise analytics across the whole funnel | Used by 300+ top projects

Est 2021|28 Ref Customers

LinkedIn 6K|Website|Web traffic 2K|FTEs 33|HQ Tallinn, Harju County, EE

MarketsMarketing Attribution Web Analytics

01Competitive Landscape

Narrative analysis

- Cookie3 vs Nansen: Nansen is widely used for on-chain intelligence and labeled wallet analysis. Cookie3 differentiates by focusing on marketing operations and campaign ROI framing. Growth teams may find Cookie3 more purpose-built for campaign measurement, while Nansen is oriented toward trader and investor workflows. - Cookie3 vs Dune: Dune is strong for teams with SQL skills that want transparency and query-level control. Cookie3 provides a more packaged, marketer-focused product but that can imply vendor-managed methods and less visible methodology. - Cookie3 vs emerging InfoFi tools (Kaito/Arkham): Cookie3 has been expanding into intelligence and narrative analysis. In this segment, differentiation depends on data coverage, data freshness, and credibility of scoring systems; independent validation is important.

Market share and adoption trends

Vendor materials claim adoption metrics (for example, "hundreds of dApps and projects integrated" and similar statements). These are vendor-reported adoption figures and should be validated during procurement.

	Cookie3	Nansen	Dune
Starting Price	Published starting price visible on the vendor website; other tiers unclear	Published entry-level pricing disclosed in vendor materials after recent pricing changes; enterprise tiers higher	Free tier available + paid tiers; pricing varies (self-serve + team plans)
Typical Use Case	Web3 marketing teams seeking an off-chain to on-chain funnel view and KOL campaign tracking	Traders, investors, and analysts needing labeled wallet/entity tracking and market tooling	Analysts and ops teams building custom dashboards and protocol analytics using SQL
Key Strength	Product framing around marketing funnels and campaign measurement; KOL performance context	Labeled wallet intelligence, broad chain coverage, established market presence	Flexibility and transparency via community dashboards and SQL-based queries
Key Weakness	Limited independent reviews and public enterprise security evidence; token/ecosystem links introduce complexity	Cost for comprehensive features can be high; not primarily built for marketing attribution workflows	Requires analytics expertise; attribution requires custom engineering work

01Competitive Landscape

Narrative analysis

Cookie3 vs Nansen: Nansen is widely used for on-chain intelligence and labeled wallet analysis. Cookie3 differentiates by focusing on marketing operations and campaign ROI framing. Growth teams may find Cookie3 more purpose-built for campaign measurement, while Nansen is oriented toward trader and investor workflows.
Cookie3 vs Dune: Dune is strong for teams with SQL skills that want transparency and query-level control. Cookie3 provides a more packaged, marketer-focused product but that can imply vendor-managed methods and less visible methodology.
Cookie3 vs emerging InfoFi tools (Kaito/Arkham): Cookie3 has been expanding into intelligence and narrative analysis. In this segment, differentiation depends on data coverage, data freshness, and credibility of scoring systems; independent validation is important.

Market share and adoption trends

	Cookie3	Nansen	Dune
Starting Price	Published starting price visible on the vendor website; other tiers unclear	Published entry-level pricing disclosed in vendor materials after recent pricing changes; enterprise tiers higher	Free tier available + paid tiers; pricing varies (self-serve + team plans)
Typical Use Case	Web3 marketing teams seeking an off-chain to on-chain funnel view and KOL campaign tracking	Traders, investors, and analysts needing labeled wallet/entity tracking and market tooling	Analysts and ops teams building custom dashboards and protocol analytics using SQL
Key Strength	Product framing around marketing funnels and campaign measurement; KOL performance context	Labeled wallet intelligence, broad chain coverage, established market presence	Flexibility and transparency via community dashboards and SQL-based queries
Key Weakness	Limited independent reviews and public enterprise security evidence; token/ecosystem links introduce complexity	Cost for comprehensive features can be high; not primarily built for marketing attribution workflows	Requires analytics expertise; attribution requires custom engineering work