Batch Generation Optimization Guide: Task Decomposition and Performance Tips for Large-Scale Number Generation

When an overseas marketing team needs to build a million-user database from scratch, batch generation optimization is the first checkpoint determining efficiency and cost. Many operators habitually submit a single large-scale generation task at once, only to encounter issues like task timeout, uneven data quality, and waste of subsequent screening balance. This article systematically explains how to make every number generation worthwhile from three dimensions: task decomposition, performance tips, and common pitfalls, while naturally incorporating the practice of using the KK-DATA platform.

Why Does Large-Scale Number Generation Need Performance Optimization?

Generating 1 million numbers directly and screening them immediately may seem like a one-step solution, but it often hides three risks:

1. Task Timeout or Slow Response: A single overly large task can lead to longer queuing times in the system, or even interruptions due to network fluctuations.
2. Uncontrollable Data Quality: A large number of generated numbers may include many invalid or duplicate numbers, wasting balance during screening.
3. Chaos in Subsequent Operations: If not organized in time after generation, it becomes difficult to select the desired detection type (e.g., only screening Telegram active users) during later screening, leading to unnecessary detection costs.

Therefore, optimization is not about “saving speed” but “saving costs + improving quality”. The correct approach is to break down large-scale generation into multiple manageable small tasks, combined with performance recommendations, so that every step is under control.

Task Decomposition Strategy: Breaking Down Large-Scale Generation into Multiple Small Tasks

Splitting 1 million numbers into 5 tasks of 200,000 each will significantly improve performance and quality. Below are three mainstream decomposition dimensions:

Split by Country/Region

Numbering rules and user activity levels vary greatly across different countries. For example, Indonesian users commonly use WhatsApp, while Russia has a higher Telegram penetration rate. By generating numbers per country, you can directly configure subsequent screening types for that country (e.g., Indonesia → WhatsApp validity check, Russia → Telegram activity check), avoiding mismatched detection types due to cross-country mixing.

• Operation Suggestion: In the “Global Number Generation” module of KK-DATA, select the target country or region and generate numbers for one country at a time. If there are many target countries, submit batches sequentially, and run the screening process immediately after each batch is generated.

Split by Number Range

Number ranges include information such as operator allocation areas and range activity levels. Using the platform’s “Global Number Range Generation” function, split consecutive ranges into intervals (e.g., +86 1XX 0000000-1999999 and +86 1XX 2000000-3999999) to avoid data skew caused by a single large generation.

• Operation Suggestion: Import a custom number range CSV file in the console, or directly use the platform’s built-in range templates, submitting batches by range interval. It is recommended that each batch does not exceed 500,000 numbers (subject to console prompts).

Split by Platform Type

If you plan to run multiple platform detections on the same batch of numbers (e.g., screening both Telegram and WhatsApp valid users), it is recommended to generate separate number sets for each platform. For example, generate 100,000 numbers for Telegram detection first, then another 100,000 for WhatsApp detection. This way, during subsequent screening, you only need to select the corresponding detection type, without mixing multiple detection options in one task.

• Operation Suggestion: When creating a task, specify the target platform and note in the remarks “For Telegram detection” to facilitate later sorting.

Performance Tips: Practical Techniques to Improve Generation and Screening Efficiency

Reasonably Utilize Number Range Generation and CSV Import

Manually entering a large number of numbers is extremely time-consuming and error-prone. KK-DATA provides two efficient methods:

• Global Number Range Generation: Select the country and number prefix; the system automatically generates numbers, supporting custom quantity ranges.

• CSV Import: Use the template file provided by the platform, edit number ranges in Excel, and upload with one click. This is especially suitable for teams that already have a number database.

• Best Practice: First organize the target number list into a CSV file, with each row containing a start number and an end number (or a single number), then import in batches. Generation is free, so no need to worry about cost.

Task Concurrency and Queue Management

Although generation is free, submitting too many tasks at once may cause system response delays. It is recommended to adopt a rhythm of “submit a batch → wait for completion → submit the next batch”, and use the task notification feature (Telegram notification) to monitor progress in real time.

Use Data Deduplication Warehouse to Avoid Duplicate Work

If a team runs multiple tasks simultaneously, duplicate number generation and screening can easily occur, wasting balance. KK-DATA provides a cross-task deduplication warehouse that automatically filters out numbers already checked in historical tasks.

Precautions During Task Execution

Before submitting a generation task, be sure to check the following:

• Balance Estimation: Although generation is free, subsequent screening charges per record. Check the unit price of each detection type in the “Billing Instructions” in the console (see Official Billing Page), estimate screening costs based on generation quantity, and ensure sufficient balance.
• Task Preview: Before submitting a generation task, the system will display an estimated quantity and cost (screening fee will be deducted later). Carefully review the target number range and quantity to avoid misoperation.
• Network Stability: Ensure a stable network connection during large-scale generation. If using CSV import, it is recommended to keep the file size under 10MB, or split it into multiple smaller files.
• Set Up Notifications: Bind Telegram in the console and enable “Task Completion Notification” to receive results immediately and proceed with subsequent screening in a timely manner.

How to Verify the Quality of Generated Results?

Not all generated numbers are valid. Before formal screening, it is recommended to sample and check quality:

1. Random Sampling: Randomly select 100 numbers from the generation results, submit a screening task, choose “Validity Check” (e.g., Telegram registration check), and check the activity rate.
2. Analyze Distribution: Export the CSV and open it in Excel. Check the country distribution and number range concentration. If a certain country or range shows very low activity, adjust generation strategy accordingly.
3. Gender Identification Verification: If gender tags are needed, draw a small batch for gender identification detection (some platforms support avatar recognition) to confirm whether the recognition rate meets requirements.

By sampling, you can adjust task decomposition before large-scale screening, avoiding ineffective investment.

Common Mistakes and Pitfall Avoidance Guide

The following errors are the most common pitfalls for overseas teams, each with the correct approach:

Mistake	Consequence	Correct Approach
Generating over 1 million numbers in one go	Task timeout or slow response	Break into multiple sub-tasks of 200,000-500,000 numbers each, submitted in batches
Ignoring deduplication and generating duplicate numbers	Subsequent duplicate charges	Import historical number library into deduplication warehouse before each generation
Selecting wrong task type (e.g., forgetting to change to validity check after generation)	Screening results do not meet requirements	Carefully select the detection type when creating the task, and double-check in the preview
No notification set, repeatedly checking during wait	Wastes time	Bind Telegram notification; task completion is automatically pushed
Delayed screening after generation (e.g., a week later)	Numbers may change or expire	Complete screening on the same day of generation to keep data fresh

Frequently Asked Questions

Q: What if the balance is insufficient during screening after generating a large number of numbers?
A: It is recommended to estimate the screening cost before generation (the console shows unit prices for each detection type), recharge enough, and then submit the screening task. If the balance is insufficient, the task will be paused; you need to recharge and resubmit.

Q: Is there a limit on the number of numbers generated in a single task?
A: KK-DATA’s generation module has no hard limit, but it is recommended not to exceed 500,000 numbers per single task to ensure response speed. For larger volumes, break them into multiple tasks (e.g., by country or number range).

Q: How to avoid generating duplicate numbers?
A: Use the platform’s “Data Deduplication Warehouse” function. Upload the existing number list before generation; the system automatically filters duplicates. Additionally, split tasks by country or number range to avoid cross-task overlaps.

Q: Do I have to screen immediately after generation? How long is appropriate?
A: After generation, the numbers themselves are static. It is recommended to screen as soon as possible (within the same day) to maintain data freshness. Screening tasks usually complete in minutes to hours, depending on quantity and detection type.

Q: Generation is free. Is it really necessary to optimize performance?
A: Absolutely. Although generation does not cost, a large number of redundant or invalid generations waste the balance and time of subsequent screening, and may affect queue efficiency. Reasonable decomposition + quality verification ensures every cent is spent on effective detection.

Start Your Batch Generation Optimization Now

With the task decomposition and performance techniques mastered, you can log in directly to the KK-DATA Application Console to experience the generation module. For more detailed number range templates or optimization suggestions, please refer to the Documentation or contact Telegram support @kkdata_robot. Make every generation efficient, precise, and waste-free.