Zalo Number Filtering: A Must-Learn for Beginners – 3 Steps to Pinpoint Your Target Customers in Southeast Asia

In the field of cross-border marketing in Southeast Asia, Zalo has become a core platform for businesses and individuals to expand their customer base, thanks to its massive user base covering over 90% of internet users in Vietnam and extending to markets like Thailand and Malaysia. To acquire customers efficiently on Zalo, Zalo number filtering is an unavoidable critical step. Through precise Zalo number filtering, beginners can quickly identify potential customers with genuine needs from the vast user pool, avoiding wasted time and account risks associated with blindly adding contacts. Conversely, neglecting Zalo number filtering can lead to minimal results even after investing significant effort in sending marketing messages, as the target audience might be mismatched. Among the many tools assisting with Zalo number filtering, the ITG Omni-Filtering tool stands out due to its simple operation, precise filtering, and secure stability, making it the preferred choice for beginners starting with Zalo number filtering. It helps users effortlessly transition from "finding numbers" to "finding the right numbers," efficiently reaching precise customers in Southeast Asia.

I. Why is Zalo Number Filtering the "Customer Acquisition Cornerstone" for Beginners?

For beginners entering the Southeast Asian market, it's easy to fall into the trap of "casting a wide net" – randomly collecting Zalo numbers online and sending advertisements in bulk, resulting either in rejected friend requests or account restrictions due to "spammy marketing." The core value of Zalo number filtering lies in helping beginners "pinpoint their target," solving the fundamental problem of "targeting the wrong customers." This is reflected in three key aspects:

First, Zalo number filtering reduces customer acquisition costs. The Southeast Asian market is vast, with diverse user needs. For instance, young mothers in Hanoi, Vietnam, might focus more on mother and baby products, while office workers in Ho Chi Minh City might prioritize convenient home appliances. Through Zalo number filtering, beginners can screen numbers based on criteria like "location + interests," avoiding wasted effort on irrelevant users and ensuring every marketing dollar is spent wisely. Taking ITG Omni-Filtering as an example, it supports batch filtering functions, allowing beginners to precisely filter thousands of Zalo numbers in a single day, significantly improving efficiency and reducing time costs compared to manual filtering.

Second, Zalo number filtering enhances conversion efficiency. Precisely filtered Zalo numbers correspond to potential customers with clear needs. For example, a beginner in cross-border beauty e-commerce targeting Southeast Asia can use Zalo number filtering to target users "aged 18-35 in Vietnam, interested in 'beauty product reviews' and 'skincare tips.'" When sending product recommendations to these users, acceptance rates are higher, and conversion rates can be 3-5 times greater than with random marketing. The "Interest Tag Matching" feature of ITG Omni-Filtering is key to helping beginners accurately capture such high-conversion-potential customers.

Finally, Zalo number filtering safeguards account security. The Zalo platform strictly controls behaviors like "frequently adding strangers" or "sending spam messages." Adding a large number of invalid or irrelevant Zalo numbers can easily lead to restricted account functionality or even bans. By weeding out invalid numbers in advance through Zalo number filtering, beginners can reduce unsuccessful add attempts and lower account risks. The "Number Validity Verification" feature of ITG Omni-Filtering can automatically flag numbers that are "banned" or "not registered," helping beginners avoid pitfalls from the start.

II. The Essential 3-Step Zalo Number Filtering Method for Beginners (Based on ITG Omni-Filtering)

Mastering the correct operational steps is crucial for beginners to perform effective Zalo number filtering. Using the ITG Omni-Filtering tool, just 3 steps are needed to quickly pinpoint target customers in Southeast Asia, making it easy even for those with zero experience.

Step 1: Define Your Goal – Use "User Personas" to Delineate the Filtering Scope

Before starting Zalo number filtering, beginners must first define "what kind of customers they are looking for" – that is, build a clear user persona. This is the prerequisite for ensuring filtering accuracy; if the persona is vague, even the most precise subsequent filtering won't match the needs.

In practice, beginners can build the persona from three dimensions: "Geography, Demographic Attributes, Need Scenarios." Taking "Southeast Asian cross-border home goods e-commerce" as an example, the target customer persona could be set as: "Ho Chi Minh City, Vietnam; 25-45 years old; recently purchased a home or renovating; interested in 'home design' and 'affordable furniture'." After defining the persona, open ITG Omni-Filtering and enter the corresponding information in the "Filter Condition Settings" module:

• Location: Select "Vietnam - Ho Chi Minh City," excluding numbers from other cities.

• Age: Set "25-45 years" to accurately cover the demographic with home purchase/renovation needs.

• Interest Tags: Search and select "home design," "affordable furniture" to further narrow down potential customers.

• Special Scenarios: If behavioral data like "recently browsed home goods websites" is available, it can also be imported into ITG Omni-Filtering for more precise scenario matching.

Beginners should note that user personas shouldn't be overly complex initially; retaining 3-4 core dimensions is sufficient. For instance, a beginner in Southeast Asian snack wholesale might simplify the persona to "Bangkok, Thailand; 20-35 years old; interested in 'snack recommendations'," avoiding too many conditions that could result in too few filtered numbers, impacting subsequent marketing scale. The "Condition Preview" feature in ITG Omni-Filtering shows the number of qualifying Zalo numbers in real-time, allowing beginners to adjust conditions promptly if the count seems abnormal.

Step 2: Batch Filtering – Use ITG Omni-Filtering to Efficiently Identify Valid Numbers

After clarifying the user persona, proceed to the core stage of Zalo number filtering – batch filtering and validity verification. The goal of this step is to screen valid Zalo numbers that match the persona from a massive pool of raw numbers, preparing them for subsequent marketing.

Beginners first need to acquire raw Zalo number resources, which can be obtained through methods like "purchasing industry databases," "collecting from local Southeast Asian platforms," or "expanding through referrals from existing customers." After acquisition, open ITG Omni-Filtering and follow these steps:

1. Import Raw Numbers: Click the "Data Import" module; it supports batch import via Excel or TXT formats, eliminating manual entry. For example, importing 10,000 raw Zalo numbers from Vietnam can be completed by ITG Omni-Filtering in 1-2 minutes, saving beginners from repetitive tasks.

2. Initiate Multi-Condition Filtering: In the "Filter Conditions" section, check the "Location, Age, Interest Tags" set in Step 1. The tool automatically matches numbers that meet the criteria. Using the 10,000-number example, if 3,000 numbers match "Ho Chi Minh City + 25-45 years + Home Interest," the tool will mark and categorize them separately in real-time.

3. Batch Verify Validity: Click the "Number Verification" button. ITG Omni-Filtering uses techniques like "simulated login checks" and "friend addition tests" to batch verify whether the filtered 3,000 numbers are valid. After verification, the tool categorizes numbers into "Valid (can add friend)," "Invalid (banned/not registered)," and "Pending Verification (requires secondary check)." Beginners only need to keep the "Valid Numbers."

This step helps beginners quickly eliminate invalid numbers. For instance, out of 3,000 filtered numbers, 800 might be invalid. After verification with ITG Omni-Filtering, the beginner directly obtains 2,200 valid Zalo numbers, avoiding wasted time during subsequent addition attempts.

Step 3: Optimize Filtering – Adjust Conditions Based on Marketing Feedback

Zalo number filtering is not a "one-time operation." Beginners need to continuously optimize filtering conditions based on subsequent marketing results, making the filtered outcomes increasingly precise. For example, some numbers might fit the persona but show no response to marketing content after being added, possibly due to insufficient interest tag matching, requiring adjustment of filtering conditions.

Specific optimization methods are as follows:

• Analyze Response Data: After adding the valid Zalo numbers exported from ITG Omni-Filtering as friends, record three key metrics: "Friend Request Acceptance Rate," "Reply Rate," and "Conversion Rate." For example, after adding 2,200 numbers, 1,800 accept (81.8% acceptance rate), 600 reply to marketing messages (33.3% reply rate), and 80 ultimately place orders (4.4% conversion rate).

• Identify Issues and Adjust: If the reply rate is low for a certain group (e.g., only 15% for the "25-30 years" demographic), it might indicate low demand for the current product within that group. In the next Zalo number filtering round, adjust the age range to "31-45 years." If numbers with the "Interested in high-end home goods" tag show a higher conversion rate (e.g., 8%), prioritize selecting that tag in future filtering.

• Secondary Filtering and Verification: In ITG Omni-Filtering, import numbers that weren't accepted or had low response, reapply the optimized conditions (e.g., adjusted age, added "high-end home goods" tag), and perform secondary filtering to extract potentially valuable numbers from this pool. For instance, from 400 non-responsive numbers, filter out 60 numbers matching "31-45 years + High-end home goods interest." A second addition attempt might increase the reply rate to over 40%.

Through the cycle of "Filtering -> Marketing -> Optimization," the precision of a beginner's Zalo number filtering will gradually improve, ultimately achieving the effect where "filtered numbers are precise, and added contacts are potential customers."

III. 5 Pitfalls to Avoid for Beginners in Zalo Number Filtering (With ITG Omni-Filtering Usage Tips)

Even after mastering the 3-step method, beginners might still experience poor Zalo number filtering results or face account risks due to operational errors. Summarized below are 5 pitfalls to avoid, incorporating ITG Omni-Filtering usage scenarios, to help beginners steer clear of common mistakes.

Pitfall 1: Don't Rely on a "Single Number Source" – Avoid Low-Quality Base Data
Some beginners, for convenience, source raw Zalo numbers from only one channel. If that channel provides poor-quality numbers (e.g., many inactive or duplicate numbers), the proportion of valid numbers will be low even after using ITG Omni-Filtering. For example, a "Vietnam number database" bought from non-official platforms might have over 50% invalid numbers, drastically reducing filtering efficiency.

Recommendation: Beginners should acquire numbers from a "combination of 3 or more channels," such as "industry association databases + collection from local Southeast Asian forums + expansion through referrals from existing customers." Use the "Duplicate Number Removal" feature in ITG Omni-Filtering to automatically eliminate duplicates, improving the quality of the base data for filtering.

Pitfall 2: Don't Set "Overly Restrictive Filtering Conditions" – Balance Precision and Quantity
Beginners can easily fall into the trap of thinking "more conditions equal more precision." For example, simultaneously setting 5 conditions like "Ho Chi Minh City, Vietnam + 25-45 years + Home Interest + Monthly spending > $500 + Recent renovation" might result in only a few dozen qualifying Zalo numbers, insufficient to support marketing scale.

Correct Approach: Initially, retain 2 key conditions like "Location + Core Interest" to ensure a sufficient quantity of filtered numbers (recommended minimum: no less than 1000 valid numbers per batch). Gradually add conditions later based on marketing performance. The "Condition Priority Setting" feature in ITG Omni-Filtering allows beginners to prioritize core conditions, treating secondary conditions as "optional filters" for flexible balancing of precision and quantity.

Pitfall 3: Don't Overlook "Number Activity" – Avoid Filtering "Dormant Customers"
Some beginners focus only on whether a number is valid but ignore its "activity level." If a number is valid but hasn't been logged into or used for interaction in the last 3 months (a dormant customer), even adding them as a friend is unlikely to lead to conversion. For instance, 30% of numbers filtered by "Home Interest" might be dormant customers who typically don't respond after being added.

The "Activity Filtering" feature in ITG Omni-Filtering solves this: when filtering, beginners can check conditions like "Logged in ≥ 3 times in the last 30 days" or "Has chat records in the last 15 days" to automatically exclude dormant customers. From the 2,200 valid numbers in our example, filtering might yield 1,500 active numbers, potentially increasing subsequent marketing response rates by over 20%.

Pitfall 4: Don't "Add Contacts at High Frequency" – Control the Pace to Ensure Account Safety
After obtaining valid Zalo numbers, beginners might be eager for quick results and add contacts in bulk within a short time (e.g., adding 200 contacts in one hour), triggering Zalo's risk control mechanisms and leading to restrictions on adding friends.

Correct Adding Rhythm: Add no more than 50 contacts per day, spread over 3-4 time slots (e.g., 9 AM, 12 PM, 7 PM), with 10-15 minute intervals between adding batches. The "Adding Rhythm Suggestion" feature in ITG Omni-Filtering automatically generates an adding schedule based on the number quantity. Beginners can follow this plan to avoid account risks.

Pitfall 5: Don't "Only Filter, Don't Maintain" – Establish a Number Tagging System
Some beginners, after filtering valid Zalo numbers, fail to categorize or tag them, subsequently sending uniform marketing messages which reduces precision. For example, mixing numbers tagged "Interested in high-end home goods" with those interested in "affordable home goods" and sending high-end product information will likely be ignored by the budget-conscious segment.

Recommendation: When exporting numbers from ITG Omni-Filtering, select the format including "Number + Interest Tags + Location." Then, in Excel, establish a tagging system (e.g., "HCMC - High-End Home - 31-45 yrs," "HCMC - Affordable Home - 25-30 yrs"). Send tailored content to different tag groups in subsequent marketing campaigns; this can increase conversion rates by over 30%.

IV. ITG Omni-Filtering: The "Dedicated Tool" for Beginners Doing Zalo Number Filtering

In the process of Zalo number filtering, the choice of tool directly impacts efficiency and precision. For beginners, ITG Omni-Filtering offers 3 irreplaceable advantages compared to other tools, making it easier for newcomers to perform effective Zalo number filtering.

Advantage 1: Zero Learning Curve – No Technical Background Needed for Beginners
Unlike some filtering tools that require coding or complex parameter setup, ITG Omni-Filtering uses a "visual interface + guided operation." Beginners simply click through the prompts to complete the three steps: "Import Numbers -> Set Conditions -> Verify & Export," finalizing their Zalo number filtering. The tool also includes a "Beginner Tutorial"; clicking the "Help" button provides access to 5-minute operation videos for quick onboarding.

Advantage 2: Comprehensive Filtering Dimensions – Covers Multiple Southeast Asian Market Needs
ITG Omni-Filtering supports Zalo number filtering for 6 major Southeast Asian markets (Vietnam, Thailand, Malaysia, Indonesia, Philippines, Singapore), with filtering dimensions optimized for each market. For instance, for Vietnam, it supports three-level location filtering: "Province -> City -> District." For Thailand, it supports matching "Thai language interest tags" (e.g., "อาหารญี่ปุ่น" - Japanese food, "เสื้อผ้าแฟชัน" - fashion clothing), meeting beginners' Zalo number filtering needs across different markets.

Advantage 3: Data Security Assurance – Prevents Number Leakage
A major concern for beginners performing Zalo number filtering is the leakage of number information. ITG Omni-Filtering employs "local data processing + encrypted transmission" technology. All raw numbers and filtering results are stored only on the beginner's local device (computer/phone) and are not uploaded to the tool's servers. When exporting numbers, password protection can be set to prevent file access by others. Furthermore, the tool regularly updates security protocols to comply with data privacy regulations in various Southeast Asian countries, allowing beginners to use it with peace of mind.

V. Case Study: A Beginner Acquires 300+ Customers in 1 Month Using Zalo Number Filtering

To help beginners better understand the practical results of Zalo number filtering, here is a real case study: Beginner Xiao Li, engaged in cross-border beauty retail in Vietnam, used ITG Omni-Filtering for Zalo number filtering and acquired over 300 precise customers in one month, achieving a conversion rate of 6.2%.

Xiao Li's operational steps were as follows:

1. Build Persona: Target users in "Hanoi / Ho Chi Minh City, Vietnam; 18-35 years old; interested in 'beauty product reviews' and 'affordable makeup'; logged into Zalo ≥ 3 times in the last 15 days."

2. Filter & Verify: Using ITG Omni-Filtering, screened 5,000 raw numbers to identify 1,800 valid numbers meeting the criteria.

3. Add in Batches: Added contacts 3 times daily, 40 contacts per session, completing all additions within 15 days, achieving an 85% friend request acceptance rate.

4. Precise Marketing: Categorized numbers by tags like "Interested in Lipstick" and "Interested in Masks," sending corresponding product promotions. Achieved conversion of 300+ customers within one month, with an average order value of around $80.

Xiao Li's case demonstrates that beginners, by mastering the correct method of Zalo number filtering and utilizing the ITG Omni-Filtering tool, can quickly establish a foothold for customer acquisition in the Southeast Asian market.

In conclusion, for beginners, Zalo number filtering is not a "complex technical task" but rather a "replicable customer acquisition methodology." Through the 3 steps of "Define Persona -> Batch Filter -> Optimize & Adjust," aided by the ITG Omni-Filtering tool, beginners can precisely identify potential customers in Southeast Asia, breaking free from the dilemma of "blind customer acquisition." Whether in cross-border e-commerce, local services, or brand promotion, by effectively using Zalo number filtering, even beginners can rapidly achieve the customer acquisition goal of "low cost, high precision, high conversion" in the competitive Southeast Asian market.