As the world's leading cryptocurrency trading platform, Binance has attracted a large number of users to register and use it. However, how to filter out high-quality user data among a huge user group has become a major problem for marketing teams and business departments. This article will focus on this issue, share practical methods for screening high-quality user data, and introduce the important role of the Digital Planet platform in this process.
Data screening problems after opening a Binance account
Many teams encounter the following challenges in campaign or account management:
lData is messy: Users who open Binance accounts come from different countries and regions, and their usage habits are also different. Raw data without filtering often appears very scattered.
lActivity is unclear: Even if users have opened an account, it does not mean that they are necessarily active users. Many accounts may not be used for a long time, or may only be logged in occasionally. Such data has limited marketing value.
lTarget group is not focused: When carrying out promotion activities, unfiltered data is often difficult to accurately match the target audience, resulting in poor promotion results.
Therefore, opening an account is only the first step. Screening out high-quality user data is the key to improving conversion rates and operational efficiency.
Definition of high-quality user data
High-quality user data not only means a large number of users, but also should have the following characteristics:
lRecently active: The user has logged in, traded, recharged, etc. in the recent period.
lMatch the target group: The user’s region, age, gender, interests and other characteristics match the company’s target market.
lData is accurate and complete: Number, email, user behavior records and other information are accurate and not repeated.
Through precise screening, companies can more easily find user data that meets these standards, thereby improving the click-through rate, conversion rate and user satisfaction of promotional activities.
How Digital Planet helps sift through high-quality user data
1. Activity screening
The activity filtering function provided by Digital Planet can quickly identify Binance users who have operation records in the recent period. This includes not only transaction behavior, but also various active indicators such as login frequency and asset changes, helping companies focus on users who actually use the platform.
2. Tag filtering
In order to meet different business needs, Digital Planet supports filtering user data based on multi-dimensional tags. for example:
lGeolocation tag: Filter out users from specific countries or regions for more targeted local promotion.
lUser characteristics label: Group according to age, gender, preference and other attributes to find the user group that best matches the target market.
3. Quick deduplication and data verification
A problem faced by many enterprises is too much duplicate data and invalid data, resulting in a waste of resources. Digital Planet can quickly remove duplicates and verify the user's activity and authenticity, making the final output more accurate and reliable.
Data filtering practical application scenarios
scene1: Cross-border promotion activities
A cross-border e-commerce platform hopes to launch a new product for the European market. They used the tag filtering function of Digital Planet to find the nearestEuropean users with active transaction records within 30 days, and targeted promotion content will be pushed to these users. The results show that the click-through rate and conversion rate increased by more than 30% compared with random push.
scene2: VIP user maintenance
A financial services company plans to upgrade itsThe VIP service hopes to screen out Binance users with large trading volumes in the past three months. Through Digital Planet's activity and tag filtering functions, they successfully located these high-value customers and provided customized services, significantly improving customer satisfaction.
How-to guide: How to use Digital Planet to filter high-quality user data
1.Import raw dataImport the original user data obtained after opening an account on Binance into the Digital Planet platform.
2.Set filter rulesChoose appropriate filters based on your business goals. For example, set toThe activity filter condition is "transaction records within the last 30 days", and the label filter rule with "target region" as Europe is added.
3.Run filterDigital Planet will complete the filtering in a few minutes and return a list of high-quality users.
4.Download results and applyDownload the filtered data and apply it directly to marketing activities, user group management or customized services.
Summarize
After a Binance account is opened, it is difficult to achieve efficient user conversion and precise promotion effects simply by relying on raw data. Through the platform and functions of Digital Planet, enterprises can easily filter out high-quality user data that is active and meets the needs of the target market, thereby significantly improving marketing efficiency and customer satisfaction.
If your team wants to find truly high-quality user data in a short period of time, Digital Planet’s activity filtering and tag filtering functions are undoubtedly a trustworthy choice.
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