Flooz, a multichain dApp, connects users with DeFi and NFT opportunities. Despite their strong online presence and multiple acquisition channels, Flooz struggled to pinpoint which campaigns delivered high-quality traffic and effectively converted users. That’s why they started using Cookie3 to address these challenges, refine their marketing funnel, and drastically cut their Customer Acquisition Costs (CAC).
Results
Key Activities





Flooz monitored all acquisition channels and campaigns with Cookie3’s Campaign Manager, streamlining the process of identifying high-impact efforts.
Used Cookie3’s onchain explorer to uncover wallet preferences, portfolio balances, and token or NFT holdings from their campaigns.
With Cookie3’s website analytics, Flooz visualized the entire user journey, aligning marketing efforts with blockchain-specific behaviors
Flooz faced significant hurdles in tracking the performance of specific campaigns and acquisition channels. Understanding which marketing efforts were truly effective in driving results was complicated by the limitations of traditional metrics like website visits and social impressions.
Additionally, assessing traffic quality throughout the entire marketing funnel, from initial clicks to onchain activity, proved challenging. Without blockchain-specific insights, the team struggled to connect user actions to meaningful outcomes, like wallet interactions or token usage.
To succeed, Flooz needed to bridge the gap between conventional funnel analytics and blockchain data, enabling them to identify high-value users and refine their marketing strategies for future success.
Step 1: Analyzing Campaign Performance

Flooz utilizes numerous user acquisition channels, including Twitter, quests, PPC campaigns, etc. They struggled to see the performance of every campaign in relation to its onchain impact. They incorporated Cookie3 Analytics to track each campaign meticulously, monitoring user engagement from the first click-through to the final onchain transaction.
Flooz effectively compared Customer Acquisition Costs (CAC) across various channels and focused their efforts on the most efficient campaigns.
This simple yet highly effective strategy significantly reduced the average CAC from $2.00 per user to an impressive $0.30, resulting in an 85% budget reduction!
Step 2: Understanding OnChain User Behavior
After determining the most effective acquisition channels, Flooz marketing team asked themselves a question: who are we actually acquiring?
Using Cookie3 onchain explorer, Flooz was able to categorize onchain statistics by specific campaigns and extract valuable user data brought to the platform by these campaigns, such as:
- Preferred wallet
- Portfolio balance
- Token and NFT holdings

Furthermore, they could narrow this down to demographics and relevant onchain holdings based on the user's country.
Step 3: Optimizing the Full Marketing Funnel
Traditional marketing funnels in tools like Google Analytics fall short for Web3 marketers as they lack connectivity to wallets and blockchain data.
To bridge this gap, Cookie3 analytics allowed Flooz to map out the user journey in a full picture:

This approach enabled Flooz to optimize specific parts of the funnel.
Moreover, by incorporating the Web3 aspect, Flooz, a multichain dApp, discovered that Ethereum remained the dominant chain for bottom-line conversions, while BNB lost momentum, and Polygon became the preferred choice for NFTs rather than DeFi.
85% reduction in CAC: Flooz achieved a significant cost reduction by isolating the most efficient campaigns through Cookie3’s Campaign Manager.
Key takeaway: Data-driven campaign tracking dramatically reduces acquisition costs.
Blockchain-driven funnel insights: Cookie3’s onchain explorer helped Flooz optimize their marketing funnel, increasing Ethereum conversions while reallocating resources to high-potential chains like Polygon.
Key takeaway: Incorporating Web3 data into funnels improves targeting and conversion strategies.
Granular audience understanding: Onchain analytics enabled Flooz to craft campaigns based on user wallets, portfolios, and geographic data, boosting campaign relevance.
Key takeaway: Deep user insights drive highly personalized marketing strategies.