High customer acquisition costs for Web3 projects? Binance effectively filters and targets active on-chain users for precise marketing.

In the Web3 marketing field, airdrops were once one of the most efficient user growth methods. However, more and more projects are finding that while airdrops are easy to launch, they often result in the embarrassing situation of "tokens being dumped immediately upon receipt." Many addresses are only there to collect airdrops, without generating any real transactions, leading to a significant waste of marketing budgets. Faced with this dilemma, effective HTX filtering is becoming a key tool for breaking the deadlock. By accurately identifying genuine transaction users, effective HTX filtering can help projects focus their airdrop resources on high-value groups, fundamentally improving conversion efficiency and breaking away from the vicious cycle of "token issuance followed by price dumping."

I. Why is the conversion rate of HTX airdrops low? The core reason lies in the uneven quality of users.

Many Web3 projects invest heavily in airdrop campaigns, only to see dismal results due to low-quality URLs. An inaccurate airdrop can lead to the following problems:

• The proliferation of "airdrop hunters" : Numerous accounts exist solely for the purpose of collecting airdrops, never engaging in any real transactions, and immediately dumping the tokens as soon as they are acquired.

• The project is rife with zombie accounts : these accounts register but exhibit no on-chain activity, have extremely low activity levels, and contribute nothing to the project's ecosystem.

• Address fragmentation : The same user controls multiple addresses to claim airdrops in batches, resulting in severe resource dilution.

• The amount of funds is unclear : it is impossible to distinguish between large holders and small test users, and the value of the airdrop cannot be accurately matched.

Marketing success is never about "casting a wide net," but about "precise targeting." The core of HTX's effective filtering is to help project teams sift through massive amounts of invalid traffic and lock in genuine trading users with real trading habits and financial strength.

II. Effective Htx Screening: Three Layers of Logic for Precisely Targeting Real Trading Users

Effective HTX filtering is not a single-dimensional process, but a comprehensive user quality assessment system that mainly revolves around the following three aspects:

• Transaction behavior screening : Addresses with zero transactions are removed, and only users with at least one on-chain interaction are retained. This filtering layer directly eliminates "zombie accounts" that are "registered and then abandoned," ensuring that users reached by the airdrop have basic on-chain behavioral capabilities.

• Fund Size Screening : Users are categorized based on their holding amount or total transaction volume. By setting thresholds (e.g., holdings ≥ 100 USDT), project teams can accurately target high-net-worth users, avoiding wasting investment resources on low-value accounts.

• Active Cycle Filtering : Identifying the user's most recent transaction time. Long-dormant "dormant accounts," even if they have traded in the past, are unlikely to generate effective conversions in the current market. Filtering users with transaction records within the last 30 days can significantly improve on-chain activity after the airdrop.

Through these three layers of filtering, Htx effectively helps project teams condense the originally mixed address pool into an "elite force" composed of real trading users, laying a solid foundation for airdrop conversion.

III. Practical Application: How to Effectively Filter and Improve Airdrop Conversion Rates Using HTML

In specific airdrop scenarios, the application value of effective HTX filtering is particularly prominent. Below are practical strategies for three common scenarios:

• Scenario 1: Tiered Airdrop Distribution.
  Traditional airdrops distribute tokens indiscriminately to all holders, often resulting in tokens being immediately dumped. Through effective HTX screening, projects can set tiered thresholds: addresses holding ≥1000 USDT receive high-value airdrops, addresses holding ≥100 USDT receive standard airdrops, and addresses below the threshold receive no airdrops. This incentivizes high-value users while preventing resources from being wasted on low-quality addresses.

• Scenario 2: Targeted Invitations for Task-Based Airdrops.
  Many projects hope to increase user engagement through task-based airdrops, but public recruitment often attracts a large number of exploitative studios. By effectively filtering and targeting addresses that have "made more than 3 transactions and hold project tokens," and sending targeted task invitations, we can quickly identify core users with high consensus and high activity, significantly improving the task completion rate.

• Scenario 3: Reactivating Dormant Users After Airdrops.
  For projects that have already airdropped but whose user activity has declined, addresses that have "received airdrops but haven't made any transactions in the past 30 days" can be effectively screened and identified via HTML. These addresses can then be reached again with new incentive campaigns. This approach effectively revitalizes existing users and enhances the long-term value of airdrops.

IV. Data Validation: Comparison of Airdrop Conversion Effects Before and After Screening

To more intuitively demonstrate the value of effective HTX screening, we will use a DeFi project as an example to compare the airdrop results before and after screening:

• Before screening : The airdrop was distributed to all users, with approximately 50,000 addresses allocated, at a cost of about 30,000 USDT. Ultimately, only 800 users engaged in on-chain interaction within 7 days of receiving the airdrop, and fewer than 100 users actually added liquidity. The token price dropped by 40% within 24 hours of distribution.

• After screening : Approximately 3,000 addresses with a trading volume of ≥500 USDT in the past 30 days and a history of DeFi interaction were effectively identified and airdropped to these addresses. Ultimately, within 7 days, 2,100 users engaged in on-chain interactions, and over 500 users actually added liquidity. The token price remained stable, and selling pressure in the secondary market significantly decreased.

This comparison clearly shows that effective Htx filtering is not simply address filtering, but rather it ensures that every airdrop is used effectively by precisely targeting high-value groups.

V. Combining ITG global filtering: Further enhancing the accuracy of Htx effective filtering.

In practical implementation, on-chain data filtering alone is insufficient for achieving 100% accurate reach. Another pain point many projects face is the inability to effectively reach users even after identifying high-quality addresses – some addresses correspond to abandoned social media accounts, or users have already migrated to other platforms. This is where the value of filtering tools becomes apparent. Through ITG's global filtering, projects can match high-value addresses identified through effective HTX filtering with cross-platform user profiles, breaking down the barriers between on-chain behavior and social identity. For example, ITG's global filtering can quickly locate the Telegram, Twitter, or Discord accounts corresponding to these addresses and further filter out users who are still active and have genuine interaction. In this way, effective HTX filtering solves the problem of "who are the real trading users," while ITG's global filtering solves the problem of "how to accurately reach and further filter." The combination of the two truly achieves a complete closed loop from user identification to efficient conversion.

Conclusion

In the Web3 era, where the marginal effect of airdrops is diminishing, the core competitiveness of marketing has shifted from "how many airdrops were sent" to "who received them." Htx Effective Screening provides a scientific and actionable user quality assessment solution, helping project teams move away from extensive airdrops and achieve precise operations. When every airdrop accurately reaches real trading users, improved conversion rates become a natural outcome.