TG Activity Filtering ROI Analysis: How to Boost Engagement Conversion and Cost Efficiency via Telegram Active Number Screening

In cross-border marketing and community operations, the quality of your Telegram number pool directly determines engagement efficiency. Many teams obtain a batch of numbers and start mass messaging immediately, only to find a large portion invalid, accounts banned, and overall ROI dragged down. The core issue is: A massive number of silent users among unscreened numbers consume precious sending quotas and channel resources. This article breaks down the TG active screening ROI analysis framework, explains how to calculate costs, conversions, and balance usage efficiency, and provides actionable screening strategies to help you exchange lower detection costs for higher effective reach.

Why TG Activity Screening Is the First Hurdle to ROI?

Suppose you obtain 100,000 Telegram numbers from a source. If you import them for bulk sending without any screening, you might encounter the following:

• 40%–60% of numbers never registered or have been deactivated: These numbers simply don’t exist in Telegram’s system. Sending messages will directly cause channel errors, wasting send attempts.
• Up to 30% of registered users are long-term inactive: Even if they exist, they rarely open or reply to messages, contributing extremely low conversion rates.
• Active users may account for less than 20%: Only users who actively participate in communities and read messages are your target audience.

Take 100,000 numbers as an example. If the average sending cost per number is 0.02 RMB (assumed), the total cost of sending without screening = 2000 RMB. But effective reach might only be 20,000 active users, so the actual cost per effective reach skyrockets to 0.10 RMB. In contrast, if you screen for active numbers first (detection charged per number), assuming the detection unit price is 0.01 RMB/number, screening 100,000 numbers costs 1000 RMB, yielding 20,000 active numbers. Then sending to these 20,000 (cost 400 RMB) brings the total cost to 1400 RMB, while effective reach covers all active users, dropping the cost per effective reach to 0.07 RMB. Although you spend more in the screening stage, the overall ROI is better.

This is the value of the first hurdle: using a small screening cost to eliminate invalid traffic, significantly improving the hit rate of subsequent conversion actions.

Building the TG Activity Screening ROI Analysis Framework: Three Core Metrics

To quantify the ROI improvement from activity screening, define three measurable dimensions. These metrics are suitable for evaluating current strategies and for comparison after adjusting screening parameters.

Cost per Reach = Screening Cost + Message Cost

Cost per reach is the average cost to reach one final target user (e.g., who opens a message or clicks a link). The formula can be broken down as:

Cost = (Total screening detection fee + Total sending fee) ÷ Final number of conversions

Where screening cost = total numbers tested × unit detection price (prices vary by platform and detection type; refer to real-time prices in the console). Message cost = number of active numbers actually sent × unit channel sending price.

How does activity screening lower cost per reach? It eliminates a large number of invalid numbers during the detection stage. The sending stage only targets high-probability responders, so the denominator (final conversions) stays roughly the same or drops slightly, but the numerator (screening + sending fees) decreases significantly. In most cases, after activity screening, the cost per reach can be reduced by 40%–60%.

Active Conversion Rate = Target Actions ÷ Active Reach Count

Active conversion rate measures the proportion of targeted actions (joining a group, clicking, replying, purchasing) that actually occur after reaching active users. A key variable here is the choice of activity window.

• 7-day active: Users who logged in within the last 7 days. Fastest response, but covers fewer numbers.
• 15-day active: Balances activity and volume, suitable for most community acquisition.
• 30-day active: Broader coverage, but some users may have lost immediate engagement willingness, leading to lower conversion rates.

If your business is a short-term promotion (3-day event), a 7-day active window yields the highest conversion rate. If it’s member retention or brand exposure, a 30-day window may be more appropriate. It is recommended to test multiple windows on the same batch of numbers, compare conversion rates, and then determine the optimal parameter.

Balance Consumption Efficiency = Valid Number Count ÷ Total Tested Count

This metric measures how much of your deposited balance is spent on truly valuable numbers. Valid numbers are those detected as “active”; total tested count is the number of numbers actually run through detection in a task.

If the same batch of numbers is tested multiple times due to duplicate task submissions, the total tested count becomes inflated, and balance consumption efficiency decreases. KK-DATA’s deduplication repository automatically detects and skips numbers already tested across tasks, ensuring the same number is charged only once, thereby maximizing balance consumption efficiency. In theory, after deduplication, balance consumption efficiency can approach 100% (i.e., each test corresponds to a new untested number).

Practical Scenario: A Typical Overseas Marketing Team’s TG Activity Screening ROI Calculation

Assume a cross-border team needs to promote a new product to 500,000 target users in a country like Indonesia. They first generate 500,000 random numbers using a number generation feature, then use the KK-DATA platform for Telegram activity screening.

Initial plan (no screening): Send messages directly to 500,000 numbers. Channel fee 0.015 RMB per message, total sending cost 7500 RMB. Assume 20% of these numbers are active (100,000), and the final conversion rate is 5%, yielding 5,000 behavioral users. Cost per acquisition = 7500 / 5000 = 1.5 RMB.

Optimized plan (7-day activity screening first): First, run 7-day activity detection on the 500,000 numbers. Detection unit price 0.008 RMB/number (assumed), total detection cost 4000 RMB. This yields 80,000 active numbers (16% activity rate). Then send to those 80,000; sending cost 1200 RMB. Conversion rate increases to 8% (because users are more active), yielding 6,400 behavioral users. Total cost 4000 + 1200 = 5200 RMB, cost per acquisition = 5200 / 6400 ≈ 0.81 RMB, nearly halved.

Cost comparison table:

Plan	Total tested count	Detection cost	Sent count	Sending cost	Total cost	Effective conversions	Cost per reach
No screening	0	0	500,000	7,500	7,500	5,000	1.50 RMB
7-day activity screening	500,000	4,000	80,000	1,200	5,200	6,400	0.81 RMB

This is just a single task comparison. If you consider multiple rounds of screening and sending, the advantage of activity screening becomes even more pronounced.

Five Key Variables Affecting TG Screening ROI (and Optimization Tips)

Variable	Explanation	Optimization Tips
Number source quality	Numbers from public channels, scrapers, or verified databases have vastly different valid ratios.	Prioritize official or verified number generation tools; avoid repeated imports.
Activity window setting	7-day/15-day/30-day affects coverage and conversion rates.	Test different windows based on business response cycles to find the balance.
Gender identification feature	If targeting female users, combine gender detection to filter out irrelevant audiences.	In female-targeted campaigns, apply gender filter first then activity screening to further boost conversion.
Multi-platform cross-screening	Detect activity on both Telegram and WhatsApp for the same number to find dual-platform active users.	For cross-platform marketing, cross-screen and keep only dual-active numbers; significant sending cost savings.
Balance top-up timing	Charged per number; insufficient balance prevents task submission. Too much may sit idle; too little affects continuous operations.	Top up a small amount for testing, find optimal parameters, then top up for batch operations.

How to Continuously Optimize Screening ROI Using the KK-DATA Console?

The platform offers several features to help you iterate screening strategies, rather than a one-time “dump and run” approach.

View Estimated Fees Before Tasks to Control Budget

Before submitting each screening task, the console automatically calculates and displays the estimated deduction amount. This allows you to adjust task size or detection type to avoid overspending. This is especially useful for testing small batches when starting out, finding optimal parameters before scaling up.

Use Deduplication Repository to Avoid Repeated Charges

If the same batch of numbers appears in different tasks, the deduplication repository automatically skips already tested numbers and does not charge again. This means you can test different dimension combinations (e.g., first 7-day activity, then 15-day activity) without wasting balance on duplicate numbers. It is recommended to first import the entire number pool for full deduplication, then submit different screening tasks on the deduplicated list.

Pair with Telegram Notifications for Timely Strategy Adjustment

After a task completes, you can bind Telegram notifications in the console. Screening results are sent directly to your TG account, so you don’t need to refresh the page repeatedly. Based on result data (e.g., activity rate, gender ratio), you can quickly adjust next steps: if activity rate is too low, switch target country or number segment; if gender ratio is skewed, adjust screening parameters. This real-time iteration ability is crucial for teams that need to scale quickly.

Summary: Core Formula and Strategic Recommendations for TG Activity Screening ROI

Consolidate the above analysis into one core formula:

ROI = (Reach Conversion × Customer Unit Price) / (Screening Cost + Sending Cost)

Screening cost = total tested count × detection unit price (based on real-time console prices), Sending cost = active number count × channel sending fee. Through activity screening, while keeping the denominator stable or increasing the numerator (reach conversion), you significantly reduce both cost components, ultimately boosting ROI.

Three immediately executable strategic recommendations:

1. Start with a 7-day active window: For most B2B overseas marketing scenarios, 7-day active users respond fastest and offer the best cost-performance. Later, extend to 15 or 30 days based on brand nurturing needs.
2. Deduplicate before submitting: First import all target numbers into the deduplication repository, then submit screening tasks. This can reduce duplicate detection waste by over 80%.
3. Top up only as much as you need to avoid idle funds: Under the per-number billing model, first top up a small amount (starting from 50 USDT) to test and find optimal screening parameters, then add more for large-scale operations.

TG activity screening is not a one-time action; it is a continuously optimized data strategy. Using the framework and tools provided in this article, you can turn each screening result into input for the next strategy, continuously improving your ROI.

Frequently Asked Questions

Q: What is the typical ROI of TG activity screening?
A: ROI is heavily influenced by number source, target country, and activity window selection. In good cases, activity screening can increase reach conversion rates by 2–5 times, but specific numbers need to be calculated based on your own data – there is no one-size-fits-all.

Q: Which is more cost-effective: a 7-day or 30-day activity window?
A: Depends on your business response cycle. For instant promotions, 7-day active users respond faster; for brand nurturing, a 30-day window covers more potential users. You can test both tasks and compare conversion rates to decide.

Q: How much does it cost to detect one number?
A: Prices vary by platform (Telegram/WhatsApp/iMessage etc.) and detection type (active/registration/gender etc.). Please log into the console and check the “Pricing” page for real-time prices.

Q: How much cost can the deduplication repository save?
A: Depends on the proportion of duplicate numbers. If the same number pool is imported multiple times, deduplication can reduce repeated detection by over 80%, significantly improving balance consumption efficiency.

Q: Why use TG notifications instead of constantly refreshing the page?
A: TG notifications allow you to receive task completion in real time, export results promptly, and start the next round of screening, shortening overall process time and indirectly increasing ROI per unit time.

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Act Now

• Log into the console → https://app.kkdata.cc/ to experience TG activity screening
• Read the detailed operation guide → https://docs.kkdata.cc/
• For questions, contact Telegram customer service → @kkdata_cc for consultation