Why does the currency circle project focus on screening iOS users: a practical path from device labeling to conversion stratification
In the past period of time, currency circle projects have paid more attention to"Are there any users?" But now more and more teams are beginning to pay attention to "whether these users are worth reaching first." Among them, one change is very obvious: iOS user filtering is being placed in a higher position.
Many teams will give priority to recruiting new members from the community, airdrop activities, and private domain conversions.iOS users. This is not a simple preference, but an operating habit gradually formed based on actual conversion performance.
WhyiOS labels are enlarged in the currency circle project
The device type itself is just a basic label, but in currency circles, it is often regarded as a"Pre-signal".
Common reasons include:
l iOS users are more concentrated in middle and high-end consumer groups in some markets
l More stable acceptance of new projects and tools
l The device environment is relatively unified and the user experience is more consistent.
These factors add up to makeThe conversion performance of iOS users in certain projects is more concentrated and stable.
But it should be noted that these are"Probability advantage" is not an absolute judgment.
What key links are iOS users usually used in?
In actual operation,iOS tags are often not used alone, but are embedded in multiple key links:
l Priority groups for airdrop activities
l Priority invitees when recruiting new members to the community
l Customer service or sales priority follow-up list
l The first test users of a high-value product or service
The core logic is to focus limited resources onOn the group “more likely to convert”.
Are iOS users necessarily better?
This is where many teams tend to misjudge.
iOS users are indeed more valuable in some markets, but there are several limitations:
l The user structure varies greatly in different countries
l Android users account for an absolute majority in many regions
l Certain projects lend themselves better to"Large volume" of people rather than "fine screening"
If you rely too much oniOS tags may cause two problems:
l Narrow coverage and missed potential users
l Costs are passively increased because screening is too strict
Therefore, a more reasonable approach is toiOS as a "priority label", not a "unique filter".
Which currency circle projects are more suitable for priority screening?iOS users
Not all projects are suitable for this strategy, but the following categories are more obvious:
High customer unit price items
For example, paid tools and membership services, these types of projects pay more attention to user quality.
Projects that require long-term retention
For example, community or ecological projects that require continuous participation
Scenarios that emphasize the ability to pay
For exampleNFT, DeFi related products
These projects are more suitable"Screen finely first, then increase the quantity."
Which projects are not suitable foriOS first
Likewise, there are some scenarios where over-reliance on device tags is inappropriate:
l Projects with the core goal of attracting new customers
l Targeting markets dominated by users in developing countries
l Early testing phase, where models need to be quickly verified
In these cases, it is more important"Scale", not "precision".
More stable screening method: equipment is only the first step
A truly stable screening logic does not just look at equipment, but multi-dimensional combinations.
A more practical sequence could be:
Step 1: Determine whether the number or account is available
Step 2: Filter device types (iOS/Android)
Step 3: Determine active status
Step 4: Combined with traces of long-term use
Step 5: Make subdivision labels (age, region, etc.)
This ensures that the device label is inAct on "valid data" rather than judging alone.
Why do some teams useiOS filtering, but the effect is unstable
Common reasons include:
l Failure to filter out invalid or abnormal accounts first
l Only look at the device, not the activity
l Forced use in markets that are not suitableiOS filtering
l The filtering order is confusing, resulting in data distortion
These issues are not essentially labeling issues, but usage issues.
How to integrate equipment screening into actual operation processes
A more practical approach is to integrate equipment screening into the overall process rather than doing it separately.
For example:
l Before importing data, make a basic filter number first
l Mark device types in available data
l Determine whether to prioritize access based on project stageiOS users
l Subsequently, the weights will be dynamically adjusted based on feedback.
This ensures that the strategy is“Adjustable” rather than a one-time decision.
Use filter numbers to clean the basic data first, and then do device stratification.
If the underlying data is not clean, any label will become invalid. Especially in currency circle projects, the quality of accounts varies greatly.
In actual operation, you can first use Digital Planet to do screen number detection, screen the basic status of the number or account first, and then do it in the valid data.Layered processing of iOS and Android. This can not only reduce invalid contacts, but also allow device tags to exert their real value. Digital Planet supports free trial screening test.
The purpose of device labels is to help you"Prioritize"
The reason why iOS filtering has become popular in currency circle projects is not essentially because it is more "advanced", but because it is more suitable for priority judgment.
When resources are limited, putting people who are more likely to convert first is the most direct way to improve efficiency. But the premise is that what you select is a group of real, reachable, and active users.
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