How to screen real and effective accurate data of American investors?

Facing the so-called InternetMost practitioners actually know the resources of "US stockholder data" and "stock trading contact information":90% of the data are invalid, inactive, and duplicate. Especially in financial product promotion, U.S. stock course drainage or investmentWhen the app grows,If the data is inaccurate and cannot be contacted, it will not only waste budgets, but will also lower the account credit score and may even be banned by the platform..Then the question is——How to filter out the real and effective accurate data of American investors? Are there any professional tools that can help you complete this step?

This article will answer this question in a comprehensive way, helping you use the right method, choose the right platform, and screen out truly valuable customer resources.

What is"Real and valid" stockholder data?

In the data field,There are clear definitions of “real” and “effective”:

lreality: The number or email address does exist, it can be connected and contacted, not an empty number or a zombie number

lefficient: Users have shown behavior recently, using social platforms, joining groups, participating in transactions, etc.

lVerified: The data platform can provide status feedback (e.g.Is WhatsApp registered and active?

If you get a batch of data that has no contact information, no status, and no signs of activity, then you can't call it"Available data" is not necessarily accurate screening.

Why is it on the marketMost of the "data packets" are invalid?

Many so-called"U.S. stock trading user data package" is actually just collected data of unknown origin, such as:

lCrawled the email address of the comment section of the financial website

lFrom public stocksUser list drawn in the App community

lEven useMobile phone number segment of AI model "synthesis"

Typical problems with this type of data:

lIncomplete contact information (no number or email)

lUnknown social status (whetherWhatsApp, whether the account is blocked is unclear)

lUnknown activity (probablyRegistered user 3 years ago)

It seems that there are many fields, but it cannot be converted.That's the biggest problem.

Correctly filter the core dimensions of US stockholders data

The following are the dimensions that must be met when filtering available stockholder data:

1. Contact field

lThe mobile phone number must be local to the United States (+1)

lThe email address needs to be verified in a complete format, and cannot be a virtual temporary email address.

lAt least one mainstream social account should be bound (such asWhatsApp, Telegram)

2. Active status

lcloseWill it be online on 7/15/30

lWhether to set avatar

lIs the account banned?

lHave you participated in investment content interaction (labelable)

3. Behavior tags

lWhether to subscribe to stock information channels

lWhether to join the stock trading community (such as US stocks,ETFs, options)

lWhether to participate in virtual investment courses (e.g.Zoom, TG Live, etc.)

4. Register platform filtering

lPlatform preferences such as Robinhood, Webull, Moomoo, etc.

lWhether WhatsApp/Telegram is enabled is used for the next step of private domain marketing

Combining these dimensions can build truly executable precise screening logic.

Which platform supports such filtering?

Most platforms on the market cannot do itFull dimension filtering of "status + behavior + registration + contact information". Recommended useData Ocean Platform, it has the following capabilities:

lBulk import of target numbers (or the system provides ready-made user packages)

lAutomatically detect whether the mobile phone number is real and whether the social account is available

lJudge active status: avatar, online recording, account ban status

lFilter by behavior field: investment preferences, community participation

lStructured format can be output: mobile phone number+ Email + Behavior Tag + Social Platform Status

Examples of application scenarios

U.S. stock account opening guide

First filter out the stock interest and open it Active users of WhatsApp will then guide the account opening through community or private messages.

Course sales landing page

Use user data with investment preference labels to guide them to targeted teaching content or high conversion landing pages.

Precise private domain construction

Import the filtered dataTelegram or WhatsApp forms a 1-to-1 or group communication channel to build a high-conversion private domain pool.

Register to beVIP, enable accurate screening services

On the Data Ocean Platform, register to becomeAfter VIP users, you will get:

lUse advanced filtering capabilities (register platform+Activity + Contact information Multi-dimensional filtering)

lDownload a structured, high hit rate data list

l24-hour fully automatic processing system, supporting tens of millions of data filtering

lReal-time detection, clear status, visible fields, and import the promotion system with one click

registerVIP users can enable accurate shareholder data screening services, which are highly efficient and have strong accuracy, and are your best assistant to conduct overseas financial business. If you need to obtain field samples or demonstration plans, you can contact the platform customer service.