Telegram’s AI detection of male-to-female ratio becomes a powerful tool for advertising optimization, budget is no longer wasted on low-matching groups

Telegram’s AI detection of male to female ratio is becoming a key tool in advertising optimization, especially in the cross-border marketing environment. Rising traffic costs and intensified competition mean that every delivery must be more accurate. If the male-to-female ratio structure of the community or list cannot be grasped in advance, the advertising content may be seriously misaligned with the target group, resulting in wasted budget and reduced conversion efficiency.

In the past, many teams only focused on click-through rate and exposure, but ignored whether the crowd structure matched. In fact, structural imbalance is one of the core reasons for fluctuations in advertising effectiveness.

Why does the ratio of men to women directly affect advertising performance?

existIn the Telegram ecosystem, there are obvious differences in the acceptance of content formats, product selling points, and interaction methods between different genders.

For example:

lMale users are more likely to be attracted by data-based content and result-oriented content

lFemale users are more likely to be moved by experiential content and emotional expressions

lMale groups are highly involved in technology and encryption products

lFemale groups are more willing to consume lifestyle products

When advertising creativity is inconsistent with the actual population structure, the click-through rate may be maintained, but the conversion rate is often difficult to increase.

Telegram's AI detection of male-to-female ratio can help the team identify structural proportions before launch and optimize the launch direction from the source.

In what scenarios does budget waste usually occur?

Many cross-border projects are inWhen Telegram is being launched, the following situations will occur:

lThe number of community members increases, but the transaction ratio decreases

lAd click-through rates are normal, but consultation conversions are low.

lFrequently changing ideas, but never finding a stable solution

In-depth analysis often reveals that advertising content is directed to the wrong gender group. For example, products focused on female consumption are launched in communities with a high proportion of men; or male-dominated products reach a large number of female users.

When the structure is mismatched, budget will naturally be consumed on low-matching people.

Practical case: Optimization effect brought by structure recognition

A cross-border maternal and infant brand conducts sales in the Southeast Asian marketTelegram promotion and advertising data are always unstable. Through AI detection of male to female ratio, it was found that:

lThe proportion of male users reaches58%

lInsufficient female core consumer group40%

lAdvertising content is mainly targeted at female users

The team subsequently made structural adjustments:

lSeparately screen female tag users to establish a core community

lMale users turn to household product recommendations

lAd targeting optimized for female interest groups

Data performance after optimization:

lClick-through rate increased by approx.45%

lPrivate chat consultation growth1.7 times

lTransaction conversion rate increased nearly2 times

lDelivery costs dropped significantly

What really changes the effect is not creativity, but structural matching.

How Digital Planet supportsAI detection of male to female ratio in Telegram?

digital planet as global244 national social AI number screening platform supports batch detection and structural analysis of Telegram accounts, including capabilities such as gender AI identification, activity screening, registration status detection and risk account identification.

Through behavioral model and interest tag analysis, the system outputs gender ratio data and structured results to help the team quickly determine the composition of the community.

In practical applications, it can be:

lBatch import account list

lAutomatically identify gender tags

lOutput male-female ratio structure report

lScreen high-value groups based on activity levels

lEliminate abnormal and low-quality accounts

By identifying the structure in advance, advertising decisions will be more scientific.

The core of advertising optimization is not adding budget, but matching

Cross-border marketing has entered a stage of refinement, and it is difficult to continue to improve simply by expanding the scale of traffic.ROI. The truly effective way to optimize is to improve crowd matching.

Telegram's AI detection of male-to-female ratio can help operators calibrate the structure before launching, so that the advertising content is highly consistent with the target group, thereby reducing invalid exposure and clicks.

When the structure is clear, budget usage efficiency will naturally increase and delivery performance will be more stable.

Digital Planet supports global market batch detection and structure identification capabilities, and is suitable for cross-border e-commerce, community operations, encryption promotion and precise advertising scenarios.

if you are doingTelegram advertisements are placed, but the real population ratio is not clear. It is recommended to conduct an AI test of the male to female ratio first. Contact customer service to apply for free sample testing, so that the budget can truly be invested in high-matching users instead of being spent on structurally misaligned people.

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