existIn the Facebook customer development process, many people's first step is to "add friends" or "join a group", but in fact there is another entrance that is seriously underestimated, and that is:Facebook Page.

Whether it is your peers, your customers, your upstream and downstream, almost all of them are using public homepages to post content, run ads, attract traffic, and do promotions. What's more,The fans, commenters, and likes of these homepages have all exposed their behavioral intentions."Hot User".

So here comes the question:Can Facebook Page be used to find customer leads? How to find it? Can you verify whether these clues are real and valid? This article will combine practical experience with the capabilities of the Digital Planet platform to break down the customer mining methods for Facebook homepages, allowing you to make good use of a "zero-cost but high-conversion" customer source.

1. Why do you sayIs "Page" a concentration camp for customer information?

The homepage gathers the target group

The content of public homepages often focuses on a certain type of product, a certain industry, and a certain need. For example:

l“T-Shirt Printing in Philippines” → Active local purchasing customers

l“Pet Grooming Products USA” → Pet stores and distributors often leave messages

l“Cosmetics Wholesale Pakistan” → A large number of beauty store owners and wholesalers like and share

You don’t have to look for people, they are already concentrated on these homepages.

Home page interaction behavior can be exposed"Real needs"

Common comments in the homepage comment area:

lMessage directly for price:“How much for 500pcs?”

lLeave contact information:“PM me WhatsApp +63XXXX”

lExpress purchasing intention:“I am reseller, I need wholesale list.”

These users tend to be more"Friends you actively add" have more potential to make deals.

two,What key clues can be mined from Facebook Pages?

In a typicalIn a Facebook Page, you can obtain the following types of user data:

1.Comment user

These people are real interactors and behave authentically.

Key actions:

lLeave a message to ask questions

lAsk for price/MOQ

lTake the initiative to show off your store/Post orders

lLeaveWhatsApp, mobile number, email

2.Like and share users

Although there are no comments, the behavior shows that theyInterested in this product or content, may be potential customers.

3.Posted by (UGC content)

If the Page allows guest posting, those posting will likely be:

lCustomers who want to purchase

lMerchants who want to cooperate

lLeave your contact information to ask for recommendations

4.Live viewers and commenters

Facebook live broadcast is the most direct conversion scenario. The information in the live comment area is denser and customer intention is the strongest.

3. How to extract customer data on the homepage?

You can do this by:

Method one:Manual extraction

Applicable to initial operations:

lBrowse the comment area and copy the user's avatar link

lExtracting public informationWhatsApp, email

lOrganized asExcel table backup

Although inefficient, it is suitable for sample accumulation and customer label classification.

Method two:Collect using browser plug-insUID/user information

Common tools such as:

lFacebook UID Extractor

lPost liker/commenter scrapers

lAutomatically collect page usersID, nickname, avatar link

Coupled with the digital planet import detection, you can determine:

lIs it a real active user?

lWhether to bind a mobile phone number/WhatsApp

lWill it be online soon?

lIs it possible to send private messages or other contacts?

Method three:Collect homepage fan data for cleaning

Some homepages can be accessed viaAPI or authorized tools obtain the fan list, and combine the like/comment time to determine which popular users have been "recently followed".

4. How to judge whether this information is true? Introducing Digital Planet for number screening

Users collectedAfter ID, mobile phone number, and contact information, the next challenge you face is:Do these people really exist, are they active, and can they be transformed?

It is recommended that all this step be handed over toDigital Planet Platform Processing, the reasons are as follows:

Quickly determine whether it is a real account

Enter mobile number orUID, you can identify:

lWhether it is a banned user

lWhether to register by brushing the number?

lWhether to bindiOS or Android device

lRegister or notWhatsApp, Telegram, Line, etc.

blue label/iMessage activity judgment

Can I receive messages? Is it a living account? Are you often online? use"Blue label accessibility" is a direct judgment.

Multi-platform binding identification

Are you a cross-platform user? Is it bootable?WhatsApp or Messenger? The system can identify it with one click.

Automatic labeling+ Recommended usage level

Digital Planet will press each account"Recommended use/retainable/to be maintained/elimination" score will save you time in decision-making.

5. How to convert these customer leads into transaction paths?

get these"Homepage clues" can be divided into three types of strategies:

1.Leave contact information → Immediately import the private domain system

lVerify mobile phone number through Digital Planet,Is the WhatsApp number available?

lConnect with private domain system for message push

lGuide to add friends, send product catalogs, and launch quotation traffic pages

2.The behavior is obvious but no contact information is left → Send private message

For example: comments"Please send price", but no number was left. You can use a light opener:

“Hi, saw your comment under [Page Name] about bulk order.

Are you sourcing locally or looking for exporters?”

At the same time, the reply data is recorded to form"Client pool contacted".

3.Users who did not interact but liked → Use Digital Planet to check and decide whether to follow up

First determine whether the account is an active user, and then decide whether to passMessenger/WhatsApp reach to avoid wasting resources.

6. Practical case: Home page customer law of a Nigerian daily necessities exporter

The exporter has collected nearly3,000 comment user data, mostly:

lLeave mobile phone number

lKeepWhatsApp link

lStay purchasing category

In the past, they relied on manually adding friends one by one, sending private messages, and creating groups. Extremely inefficient.

Later, the detection system of Digital Planet was used, and the operation was as follows:

lImport the mobile phone number list and detect1800 are "available numbers"

lin950 items are “highly active users + bound to WhatsApp”

lCarry out in batchesiMessage, Messenger and WhatsApp reach

lGet the first batch within a week72 purchase replies, converted 14 small orders

7. Summary: Home page comment area ≠ Spam message area, but a gold mine of customer data

Many people ignoreThe value of the Facebook homepage comment section is actually there:

lReal buyers with the most needs are lurking

lLeave the most complete contact information clues

lExpress the most direct purchasing intention

The key lies in whether you know how to extract and whether you use the right screening tools.

Digital Planet is not a tool to find customers, it is to help youdetermine which cluesare customers and which are just“People who are fake, ineffective, and not worth your time.”

From now on, don’t stare at the friends column in a daze. Instead, open your competitor’s homepage and start collecting comments from the first line.——The customer is already waiting for you there, all it takes is one move from you.

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