How to efficiently filter Zalo numbers in bulk? Quickly distinguish between active accounts and invalid/empty numbers.
What are the core judgment dimensions for Zalo number filtering?
- Has this number been successfully registered with a Zalo account? Is there corresponding user information?
- Is the account in normal use and has not been cancelled or suspended?
- Is the binding between the number and the Zalo account valid, and can it receive messages normally?
- Has the account been logged in or interacted with recently, indicating an active status?
- The filtering speed is too slow and cannot meet the needs of filtering batch numbers.
- The distorted screening results, including a large number of invalid and dead numbers, negatively impact operations.
- The false positive rate is too high, classifying active accounts as invalid data and missing out on target users.
- The inability to distinguish between active and inactive accounts significantly reduces the effectiveness of subsequent push notifications.
Why is it necessary to filter Zalo numbers when purchasing in bulk?
- How can we avoid sending messages to invalid numbers, thus wasting mass messaging quotas and operational time?
- How to accurately differentiate active accounts and ensure that push content reaches the right users?
- How to reduce invalid outreach rates and decrease the risk of your account being flagged by platform risk control measures?
- How can we make operational data more accurate, facilitating precise optimization of subsequent operational strategies?
- The failure rate of mass messaging has soared, and the account has been identified as engaging in abnormal marketing, affecting normal use.
- Operating budgets are being wasted on invalid numbers, and costs are constantly rising.
- The data statistics are distorted, making it impossible to determine the true operational effectiveness and conversion rate.
- Long-term contact with inactive or dead accounts will gradually reduce the account's weight.
- High-quality content mismatched with the target audience fails to realize its full operational value.
What are the drawbacks of manually screening Zalo numbers?
- When dealing with a large number of numbers, manual verification is time-consuming, labor-intensive, and extremely inefficient.
- It is prone to missed or incorrect judgments, and the accuracy of screening cannot be guaranteed.
- The inability to simultaneously track account activity status causes inconvenience for subsequent operations.
- Unable to quickly distinguish between inactive and empty numbers, resulting in poor targeted filtering?
- Operational delays caused us to miss the optimal time for promotion and outreach.
- High labor costs are squeezing budget space in other operational areas.
- Incorrect screening results led to deviations in subsequent operational actions, resulting in more harm than good.
- The inability to scale operations limits the scope and effectiveness of Zalo's operations.
- Too much repetitive work drains the energy of operations staff.
How to quickly distinguish between active Zalo accounts and invalid accounts?
- Active accounts: Those with recent login records, updates, or interactions?
- Active accounts: Can receive messages normally and have a relatively high response rate?
- Invalid number: Not registered with Zalo, or has been deactivated or suspended, and cannot receive messages?
- Invalid or empty account: Long-term inactivity or lack of interaction is equivalent to consuming resources with an empty account.
- Pushing content to inactive accounts resulted in no response whatsoever, wasting operational resources.
- Mistakenly operating empty accounts as active accounts resulted in a severe imbalance between investment and return.
- Unable to develop targeted push strategies, active accounts are also difficult to convert.
- The operational direction is unclear, making precise optimization impossible, resulting in consistently poor performance.
How to use ITG global filtering to effectively filter Zalo numbers?
- Batch import numbers: Import the list of Zalo numbers to be filtered into the tool all at once, without having to enter them one by one, saving time and effort.
- Automatic and fast detection: Quickly verify the validity of numbers, accurately identify empty and dead numbers, and do not miss any valid accounts.
- Distinguish activity levels: Intelligently identify account activity levels and label accounts as highly, medium, or low active, as well as invalid or empty accounts.
- Export by category and label: Categorize and label accounts by active accounts and invalid/empty numbers, and export a list of purely valid active numbers for direct integration with subsequent operations.
- Highly efficient, time-saving, and labor-saving: The entire process is automated, far exceeding the efficiency of manual operation, and significantly reducing the workload of operations personnel.
How should invalid empty numbers be handled after filtering?
- Should invalid and unused phone numbers be categorized separately and completely removed from the operations list to prevent secondary misuse?
- Should invalid and missing number data be backed up for future verification and operational review?
- Do you regularly clean up the number database to avoid accumulating invalid and empty numbers, which would affect filtering efficiency?
- Should we label the type of invalid number to provide a reference for subsequent number collection and avoid similar invalid numbers?
- Invalid or unregistered phone numbers were mixed into the operations list, causing errors in secondary mass messaging and wasting resources.
- The disorganized number database negatively impacts the efficiency of subsequent Zalo number selection and operations.
- Repeatedly checking the same batch of invalid and empty numbers wastes tool resources and operational time.
- Disorganized data management makes it difficult to trace the root causes of operational problems and hinders optimization and improvement.
How to avoid secondary invalidation after Zalo number filtering?
- Do you regularly review the list of phone numbers and update the account activity and validity?
- Should we record the time of number filtering and prioritize recently filtered active accounts?
- Should we perform a second verification in advance for numbers that haven't received push notifications for a long time to prevent them from becoming invalid?
- Are new, valid numbers being added and invalid numbers being replaced in a timely manner to ensure operational volume?
- Some active accounts have become empty numbers due to deactivation or cancellation, affecting message delivery rates.
- Relying on expired screening results has led to a continuous decline in operational effectiveness, making improvement difficult.
- The continuous accumulation of duplicate invalid numbers increases the costs of subsequent screening and operation.
- Unable to respond promptly to changes in account status, missing opportunities for operational adjustments.
ITG Global Screening is a leading global number screening platform that combines global number range selection, number generation, deduplication, and comparison. It offers bulk number screening and detection for 236 countries and supports 20+ social and app platforms such as WhatsApp, Line, Zalo, Facebook, Telegram, Instagram, Signal, Amazon, Microsoft and more. The platform provides activation screening, activity screening, engagement screening, gender/avatar/age/online/precision/duration/power-on/empty-number and device screening, with self-screening, proxy-screening, fine-screening, and custom modes to suit different needs. Its strength is integrating major global social and app platforms for one-stop, real-time, efficient number screening to support your global digital growth. Get more on the official channel t.me/itgink and verify business contacts on the official site. Official business contact: Telegram: @cheeseye (Tip: when searching for official support on Telegram, use the username cheeseye to confirm you are talking to ITG official.)