Web3 mailbox detection, how to organize project user mailboxes to be more suitable for subsequent development

The sources of email addresses in Web3 projects are often more complex than ordinary customer databases: one is left for whitelist application, another is submitted for product testing, and another is left when participating in AMA or event registration. Newsletter subscriptions, customer service consultations, and official website registrations may continue to generate new email addresses. In the end, it seems that there are many mailboxes, but what really shows the value of the user is not "this mailbox exists", but what entrance it comes in from, what relationship the user has with the project, and whether there have been any new actions recently.

Web3 mailbox detection is more suitable for sorting out the basic quality of the mailbox, duplicate data, source tags and project behavior. Later, if the user actively leaves their mobile phone number, it will be decided whether to add communication channels such as Telegram and WhatsApp.

The most important field of Web3 mailbox is actually "where it comes from"

Two mailboxes with completely normal formats may have very different business values.

One user has just submitted an application for product testing, and the other email address was left after participating in a lottery two years ago. Technically, there are no obvious problems with both mailboxes, but if we are now going to do project user development, we obviously cannot put them at the same priority.

soWhen organizing Web3 mailboxes, you can first remove the sources.

More common sources include:

lOfficial website registration;

lWhitelist application;

lproduct testing;

lNewsletter subscription;

lAMA or online event registration;

lcommunity activities;

lCustomer service consultation;

lCollaboration on historical projects;

lOffline conferences or exhibitions.

The function of the source field is to help determine"Why does this user appear in the database?"

If even the source cannot be found and only an email address is left, then subsequent value judgments will be much more difficult.

The first step in email detection is not to determine whether it isWeb3 big players

At best, the email address can only be used as part of the contact information and customer identity fields.

You cannot directly judge how many crypto assets a person holds just because his email domain name is special; nor can you directly infer that he is a high-net-worth person just because he uses an overseas email address.Web3 users.

Similarly, email detection cannot tell you how many assets a user has in their wallet or what they have recently traded.Token, is it a major player in a certain project?

truly reliableWeb3 user value should go back to the project's own behavioral data, such as:

Whether there is a registered product;

Whether a whitelist has been submitted;

Have you participated in activities?

Whether the test function is used;

Are there any consulting projects?

Whether the interaction has reoccurred recently.

This information is the real relationship between the project and the user.

Format errors and duplicate mailboxes can be cleared first.

After many rounds of activities in the Web3 project, it is normal for the same person to appear repeatedly.

For example, when a user registers for an event for the first time, he usesEmail address A, I used email address A to participate in the whitelist for the second time, and email address A was used for the third product test. If the three records are kept separately, they can easily be regarded as three users in the end.

Therefore, when cleaning your mailbox, you can first deal with a few basic issues:

lObvious formatting error;

lextra spaces;

lDuplication caused by case;

lRepeat submission from the same email address;

lDuplicate records of the same customer in different activities.

However, deduplication is not simply deleting old records.

A more valuable approach is to keep a user master record, and continue to hang the activities, registration time, and project behaviors that have been participated in in the past under this user.

An email that has participated in three events is more valuable than three duplicate emails.

Give a very simple example.

Raw data might be:

[email protected]——2025 AMA registration

[email protected]——Testnet application in 2026

[email protected]——Product internal testing in 2026

If you just look at the table, you will think that there are three pieces of repeated data.

But after the merger, what it really expresses is:

The same user, fromFrom AMA activities to testnet, and then to product internal testing, we participated in three stages in a row.

This continuous behavior is better than"Whether the mailbox is duplicated" itself is more important.

soWeb3 mailbox detection and sorting should not only focus on the number of messages left in the end, but also preserve the historical relationships of users.

whitelist email andNewsletter mailbox should not be a priority

Different entrances represent different levels of participation.

Newsletter subscriptions may only be interested in the project content; whitelist applications usually mean that users are willing to further participate; product test users have already developed deeper project behaviors; proactive customer service inquiries often represent very clear questions or needs.

You can make a simple layering based on the actual situation of the project.

For example:

higher priority

Recent product applications, proactive consultations, test users, and recent re-participation activities.

Normal maintenance

Newsletter subscription, community activity participation, ordinary registered users.

historical observation

Participated in the event a long time ago and there has been no new project behavior since then.

This is much more reliable than judging the quality of customers based on their email suffix.

The business email is atIn Web3, decision-makers cannot be directly represented.

The Web3 project has both individual users and B2B contacts such as funds, media, project parties, trading platforms, and technical service providers.

If the company domain name email is detected, it can indeed help supplement the organizational information, but it cannot be written directly as"Decision Maker Email".

For example, the email addresses of the same project company may belong to:

lBD;

lmarket;

lcommunity operations;

ltechnical staff;

lOrdinary employees;

lFounding team member.

so doWhen developing B2B Web3 customers, corporate email is best used together with company name, position, and business type.

Email domain names are just clues, not proof of position.

"Recently active" is best found from the project's own behavior.

If you want to filter recentFor Web3 users, the most reliable thing is not to guess the mailbox activity, but to see if there are any new business actions on the project side.

For example, in the past30 days:

The user logs back into the product;

Submit the test application again;

Participate in new activities;

Proactively contact customer service;

reply to emails;

Submit a cooperation application;

Re-enter the sales process.

These actions can indicate that the user has recently had a new relationship with the project.

And a mailbox"Technically available" does not automatically mean that the person has recently paid attention to the project.

Therefore, it is best to keep the mailbox status and project active status separately.

Email is just an entrance, not necessarily the last communication channel

The communication habits of Web3 users are relatively scattered.

Some people mainly read emails, while others use it for a long time.Telegram, some people participated through the Discord community, and some took the initiative to leave WhatsApp or other contact information afterwards.

Therefore, after the mailbox detection is completed, there is no need to force all users to stay in the mail channel.

If the user proactively provides other contact information in the normal course of business, the new channel can be used to supplement the same customer information.

For example, it turned out to be only:

Email + whitelist application

Later, the user submitted it through the official website:

Mobile phone number + product consultation

Then if these two behaviors can be confirmed to belong to the same customer, they should be merged instead of re-creating a strange user.

Digital Planet is more suitable forAfter the user leaves their mobile phone number

The format cleaning, source classification, and project participation records of Web3 mailboxes should not be hard-coded into Digital Planet. The mailbox itself is not an object that must be dealt with through Digital Planet in this article.

ifWeb3 users take the initiative to leave their mobile phone numbers during official website registration, product application, customer service or other normal business processes. Only then can they enter the number and social platform screening based on actual needs.

for example:

Email + product test application + mobile phone number

The company first confirms that the customer relationship actually exists, and then supplements it through Digital Planet based on actual communication needs.Account status of target platforms such as Telegram and WhatsApp.

In this way, Digital Planet solves the problem of filtering subsequent communication channels corresponding to mobile phone numbers, rather than judging whether a user is a user through an email address.Web3 investors, how many assets they hold or what projects they have participated in.

This implantation will be more accurate.

Email andDo not force one-to-one correspondence between Telegram accounts

Web3 users often use email and Telegram at the same time, but the two are not naturally bound.

A normal email address does not directly prove that a certainTelegram username belongs to the same person.

Therefore, when merging user identities, it is best to rely on related information that the company has clearly obtained. For example, the registration form submits email andTelegram username, or the user actively fills it in their account information.

If there is no clear connection, don't force a merger just because the nicknames are similar.

This avoids incorrectly piecing together business records from different people.

A more practical oneHow to save Web3 user files

It doesn't need to be particularly complicated.

The data ultimately used for project operations or sales can leave these really useful fields:

lMail;

lEmail source;

lFirst entry time;

lThe latest project behavior;

lActivities attended;

lWhether to register the product;

lWhether to proactively consult;

lOther contact information that has been proactively provided;

lCurrent user stage.

For example, a piece of information can be:

German users,I signed up through the AMA in 2025, participated in the test network in 2026, and recently applied for product internal testing, and took the initiative to leave my mobile phone number.

Another one might be:

US users,Newsletter subscription in 2024, no new project actions since then.

Both mailboxes can exist normally, but their current operational values ​​are obviously different.

Don't becauseThe three words "Web3" make mailbox detection so magical

Web3 email detection is most easily written as a universal user identification tool. It seems that after entering the email address, the user's wallet, assets, investment capabilities and project preferences can be known.

This kind of thinking will distort the article.

truly practicalWeb3 mailbox organization is actually very simple: first deal with errors and duplicate data, and then retrieve the source, events you have participated in, product registrations, consultation records, and recent business behaviors.

Email tells you"This user has left contact information", and the project record tells you "why he stayed and what he did later." If Digital Planet wants to participate, it should be done after the user has provided their mobile phone number normally, and used for subsequent social platform and number screening, instead of generating non-existent customer portraits for email addresses.

What is really worth keeping in a Web3 mailbox is not just whether an address can receive emails, but how the user behind the address has entered the project, what they have participated in, and whether they have had any new contact with the project recently.

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