Is your customer acquisition via I.Line imprecise? Try filtering by gender and age—tiered messaging can double your conversion rates.
*Author: Lin Qiming, a social marketing consultant with 6 years of experience in Southeast Asia, who has helped over 120 brands build customer acquisition systems for the Line channel.*
In Line marketing, the most frustrating aspect is often not content creation, but rather the phenomenon of "messages disappearing without a trace." Many companies invest heavily in purchasing number packages, only to experience persistently low conversion rates due to vague user profiles. The emergence of Line's gender and age filtering is changing this situation—it's not just a simple filtering function, but a layered logic based on real user attributes. Through Line's gender and age filtering , businesses can completely move beyond the era of "blindly sending messages," ensuring that every push reaches the people most likely to take action.
I. Why is gender and age filtering the first step in tiered push notifications on Line?
Many teams promoting products on Line tend to treat all users as a single group, sending identical content. This approach ignores the inherent differences in product needs among users of different genders and age groups. A single unfiltered mass message typically leads to the following consequences:
Content Misalignment : Pushing beauty coupons to male users resulted in almost zero clicks.
Ineffective time slot : Pushing game activities to office workers in the morning resulted in extremely low open rates.
Conversion gap : Young users think the product is too old-fashioned, while older users think it's too trendy.
Unsubscribe surges : Users repeatedly receive irrelevant content, leading them to block or leave groups.
The essence of Line 's gender and age filtering is to determine "who should see what" before sending the message. It divides the user pool into male/female based on gender, and then into age ranges such as 18-24, 25-34, 35-44, and 45+, so that each message only flows to the most matching group.
II. How to use gender filtering to improve conversion rates on Line e-commerce platforms?
For categories like apparel, cosmetics, baby products, and digital products, which exhibit clear gender-based consumer preferences, gender filtering is the most efficient first step. Specifically, you can do the following:
Beauty and skincare category : New product trials and discount information are only pushed to female users, while male users are only pushed content related to men's products such as shaving and facial cleansing.
For trendy footwear and apparel : new men's styles are targeted at male users, while new women's styles are targeted at female users to avoid mutual interference.
Household daily necessities : The primary gender to be promoted can be determined based on historical consumption data, such as prioritizing women for maternity and baby products by default.
Digital products : There are no hard gender restrictions, but the sales pitch can be differentiated—men should focus on parameter comparisons, while women should focus on usage scenarios.
A Line merchant specializing in functional women's handbags, after enabling gender filtering, restricted promotional messages originally sent to all users to female users only. As a result, the message open rate increased from 18% to 34%, and the click-through rate nearly doubled. The reason is simple: male users no longer received push notifications that seemed irrelevant to them, while female users experienced a "recommended just for me" feeling.
III. How can age segmentation double the open rate of Line activity messages?
Age directly impacts a user's lifestyle, spending power, and interests. For example, when it comes to "limited-time discounts," a 20-year-old might be willing to stay up late at night, while a 40-year-old is more likely to browse during lunch breaks or commutes. Utilizing the age dimension in Line's gender and age filtering allows for the following optimizations:
18-24 years old (students/new graduates) : Push products with high cost-effectiveness and strong social attributes, use youthful language and emojis, and send messages between 8-10 pm.
25-34 years old (main consumer group) : Accepts mid-to-high price range, values quality and convenience. Push content related to "saving time" and "improving efficiency," preferably during lunch break (12-1 pm) or before leaving work (5-6 pm).
Ages 35-44 (Family decision-makers) : Focus on durability, safety, and cost-effectiveness; speak in a steady and reliable manner; send messages between 7-8 AM or 9-10 PM.
Ages 45 and up : Prefer health and lifestyle convenience information, clear text, simple activity rules, and avoid overly flashy visual designs.
A health food brand once sent the same "probiotics promotion" message to all age groups, with an overall open rate of only 12%. They then segmented the copy by age: emphasizing "high work pressure, digestive health" for 25-34 year olds, and "one packet daily for easy and smooth digestion" for those over 45. Combined with time-of-day optimization, the open rate for each age group ultimately exceeded 27%, more than doubling overall.
IV. Filter by gender and age combination to create a precise Line push matrix
Using gender or age alone can already bring significant improvements, but combining the two can achieve true "personalized recommendations." Line's gender and age filtering supports multi-dimensional overlay, allowing you to build a complete push notification matrix:
Young women (18-24) : Beauty, fast fashion, influencer-endorsed items, and store visit/exploration content.
For women in their late 20s and early 30s (25-34) : Skincare, luxury handbags, home essentials, and content related to preparing for pregnancy/parenting.
Mature women (35-44) : Anti-aging skincare, kitchen appliances, children's education, family insurance
Young men (18-24) : Sneakers, gaming, esports peripherals, sports nutrition
Young and middle-aged men (25-34) : Digital 3C products, automotive information, fitness equipment, workplace skills
Mature men (35-44) : Smart home, investment and financial management, men's health, outdoor equipment
A Line merchant selling home fitness equipment initially pushed the same "folding treadmill" ad to all demographics, resulting in mediocre conversions. Later, they split the ad using the matrix described above: targeting men aged 25-34 with "home muscle-building program + resistance bands," and women aged 35-44 with "knee-friendly treadmill + home fat-burning class." The cost-per-click for the two groups differed by three times, but the latter's conversion rate was twice that of the former.
V. Implementation: Utilizing the ITG screening tool for comprehensive filtering, Line user segmentation was efficiently achieved.
No matter how perfect the theory, implementation is key. To achieve all the tiered push notifications mentioned above, your Line user pool first needs complete gender and age tags. However, in reality, many companies have "naked numbers"—just a string of digits without any user profile information.
This is where professional number filtering tools come in. Taking ITG's global filtering as an example, it can identify the registration status and profile picture presence of Line numbers in batches without contacting users. More importantly, it can use publicly available data models to help determine the gender and age range of the accounts. You can import the original list of numbers into ITG, and the system will automatically complete the following tasks:
Remove invalid numbers that are not registered with Line or have been deactivated.
Identify and label the account's gender orientation (male/female/unknown)
Estimate age ranges (e.g., 18-24, 25-34, etc.)
Output a tiered number package that can be directly used for gender and age filtering on Line.
This way, you won't just have a "list of numbers," but a "user profile map." You can directly integrate the exported hierarchical list with Line's official or third-party mass messaging tools, setting up push notifications by gender and age. What used to require manual, one-by-one checks can now be completed in minutes. More importantly, this process is entirely based on publicly available information, without any intrusive acquisition of user privacy, ensuring security, compliance, and long-term stable use.
Conclusion
The competition in Line marketing has long since shifted from "who sends the most messages" to "who sends the most targeted messages." Line's gender and age filtering isn't just a nice-to-have technique; it's the underlying logic of segmented push notifications. And to truly implement this logic, efficient tools are essential. The value of ITG's comprehensive filtering lies precisely in this—it transforms vague phone number packets into clear user profiles, giving you a head start before you even send your messages. While others are still worrying about dismal open rates after mass messaging, you've already secured conversions with the right people, the right content, and the right timing.
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.)