How to obtain Facebook friend data? Batch filter high active users

When doing social marketing, account management or batch friend addition tasks, Facebook adds friend data has become an indispensable basic resource. But in reality, many users face the problems of data dispersion, low activity, and low success rate of adding fans. So, how should Facebook adds friends data to get? How to filter out truly active and high-quality target users? This article will explain the acquisition channels and screening methods in detail for you, and introduce how to use the digital planet number screening and detection function to improve data quality in batches.


Where does Facebook add friends data come from?

In actual applications, the channels for obtaining Facebook friend data are roughly the following:

lSelf-built collectionBy manually adding friends, extracting group members, sorting event participation lists, etc., we can independently collect mobile phone numbers or users of potential friends, etc.ID.

lPublic resource integrationCollect information about members in public activity pages, fan pages, and public groups, and filter out mobile phone numbers or add friend links.

lThird-party data platformPurchase or cooperate to obtain the data resources of Facebook and friends that have been sorted out, but this type of data often has problems with low activity and poor authenticity.

Despite the numerous channels, no matter which method, the original Facebook friend data usually has the following pain points:

lHigh proportion of empty accounts and deactivated accounts

lAccount activity cannot be guaranteed

lUnable to segment users by region, gender, and interests

Therefore, it is far from enough to have data, but more importantly, filter and optimize the data.


Common problems with access channels

Many teams often ignore data quality management in the early stage, which leads to many problems when adding friends in the future:

lAdding requests are frequently rejectedLow active or fake accounts do not respond to requests for adding friends, which affects the account weight.

lSevere waste of resourcesA large amount of time and labor invested in invalid numbers or zombie accounts leads to a low overall conversion rate.

lIncreased account riskContinuous addition of invalid or abnormal accounts is easily identified by the platform's risk control system, resulting in an increase in the risk of account ban.

In order to avoid the above problems, you must conduct a comprehensive screening and cleaning before adding friend data using Facebook.


Digital Planet Number Filter Detection How to batch identify highly active users

The number screening and detection function provided by Digital Planet is specifically designed for social application scenarios. It can batch detect the registration status, activity level, and activation status of mobile phone numbers, so as to truly use data to identify target friends.

Feature Highlights:

lSupport batch upload of mobile phone number files, and detect hundreds of thousands of Facebook and friend data at one time

lQuickly identify whether the number is boundFacebook, whether it is active

lClassified and filtered according to the test results, such as"Registered + Active", "Registered + Low Active", "Unregistered"

lAutomatically remove invalid, empty, and downtime users to increase the friend addition pass rate

lEncryption process throughout to ensure data security

With the help of digital planet, enterprises and individual users can complete large-scale Facebook friend data screening in a short period of time, and screen out truly valuable users.


Practical process: import, filter, download effective Facebook add friend data

The entire operation process is very simple and suitable for daily use:

lStep 1: Prepare the dataOrganize the list of mobile phone numbers to be tested and save asExcel or CSV format.

lStep 2: Upload dataEnter the Digital Planet Platform, select the number filter detection module, and import the prepared data in batches.

lStep 3: Select the detection itemCheck the target platform to be detected (such asFacebook activation status, activity tag).

lStep 4: Run filter detectionAfter the detection is started, the system background processes it in parallel, and thousands of pieces of data can be processed every minute.

lStep 5: Download the filter resultsExport the data table after the detection is completed, filter out the label asThe number "Registered and Active" is a high-quality resource pool for subsequent friends.

Through this set of standard processes, not only does the data processing time greatly shorten, but also ensures the accuracy and activity of adding friend resources.


Application case: Accurate friend addition improves the success rate of adding fans

A social e-commerce team plans to add Facebook friends in batches to the Latin American market to promote new products. At first, they directly used the purchased friend data, but the added success rate was insufficient.30%, and frequent rejection or banning problems.

After using digital planet number screening detection, they removed45% of the empty and low active accounts retain only recently active registered users. After re-engaging in the friend addition operation, the added success rate increased to 78%, which not only reduced the risk of banning, but also significantly improved the subsequent marketing conversion rate.


Conclusion

Obtaining Facebook’s friend data is only the first step. What really affects the efficiency of adding fans is the accurate screening and quality control of the data. With the help of the digital planet number screening and detection function, you can easily complete batch inspections and filter out highly active users, so as to truly make adding friends fast, accurate and efficient.

If you are preparing to add friends in batches, or want to increase the success rate of adding fans, you might as well use a digital planet to sift your data, the effect is much better than you imagined. Do you want to try it?


Digital PlanetIt is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, Binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Bybwait.

The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.

Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode, to meet the needs of different users.

Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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