Only TG Data Reporting Gaps: How TG-Staff Fills the Void with Diversion Attribution and Session Statistics

In Telegram Bot customer service and operations, tools like Only TG (OnlyTelegram) are commonly used to build Bot interaction flows. However, when teams need in-depth data analysis—such as ad source tracking, agent workload, or user conversion paths—their reporting capabilities often reveal significant shortcomings. This article breaks down these common gaps and introduces how TG-Staff helps fill the data blind spots in customer service operations through diversion attribution, session statistics, and user profiling.

Four Common Gaps in Only TG Data Reporting

Feedback from Only TG users highlights pain points in data reporting, concentrated in the following four areas:

• Lack of ad attribution: Unable to distinguish whether users entered the Bot from Facebook ads, Google search, or organic community traffic, making it impossible to evaluate channel ROI.
• Missing session-level statistics: No metrics like per-session agent response time, transfer count, or user wait time, making it difficult to measure customer service efficiency.
• Insufficient user profile data: Only user IDs and basic message logs are visible, with no ability to accumulate tags, behavioral preferences, or historical session summaries, hindering segmented operations.
• No unified cross-project dashboard: Data from multiple Bot projects is scattered, preventing comparison of session volume and conversion rates across projects in a single console.

These gaps become especially prominent when teams scale up or need to report to management.

Why Attribution is Crucial for Telegram Customer Service Operations

Attribution is a core link in the customer service conversion chain. A typical conversion chain looks like this:

Ad placement → Click link → Redirect to Telegram Bot → Auto-reply → Human agent takeover → Conversion (inquiry/order/join group)

Without attribution, you cannot answer these questions:

• Which ad channel brings the highest session volume?
• Which social media post yields better user conversion?
• What is the ratio of organic to paid traffic?

Without attribution, budgets are wasted on underperforming channels.

Typical Scenarios of Missing Attribution

Scenario 1: Running Facebook Ads You create an ad with a direct link to the Telegram Bot. Users click, enter the Bot, and trigger a human agent. But you cannot see in the backend that this session came from Facebook; you only see it from an anonymous user. Where should you allocate next month’s budget? You can only guess.

Scenario 2: Mixed Community Sharing and Paid Promotion Your community managers share the Bot link in multiple groups, while you also run keyword ads on Google. Sessions from both sources are mixed, making it impossible to separate organic from paid traffic, so you cannot gauge the actual effectiveness of the ads.

How Diversion Attribution Solves This

TG-Staff’s Diversion Link is designed precisely to address this. It is an official domain short link (e.g., https://app.tg-staff.com/{code}). When a visitor clicks the link, the system captures the following information before redirecting to the Telegram Bot:

• Visitor IP address
• Browser User-Agent (device type)
• URL parameters (e.g., UTM tags: utm_source, utm_campaign)
• Click timestamp

This data is automatically attributed to the user’s session detail page, allowing you to view the session’s source channel, device type, and ad campaign name at any time.

Limitations of Only TG Chat Statistics and TG-Staff’s Complementary Solution

The shortcomings of Only TG in chat statistics are mainly reflected in its inability to provide data from “person” and “time” dimensions.

Chat-Level Data Not Available in Only TG

The following data is typically invisible in Only TG:

Data Type	Supported by Only TG	Supported by TG-Staff
Number of agent replies per chat	×	✓
Number of chat transfers	×	✓
User wait time for agent response	×	✓
Chats handled by agent (per day/week/month)	×	✓
Project-level reports	Limited	✓

For teams that need to evaluate agent performance and optimize scheduling, the lack of this data means management relies on manual records or external tools.

TG-Staff’s Chat Statistics Capabilities

TG-Staff Pro provides user profiling and data statistics, including:

• Chat Volume Trend Chart: View chat volume changes by hour, day, or week to identify peak consultation times.
• Agent Performance Dashboard: Metrics such as chats handled per agent, average response time, longest wait time, etc.
• User Activity: Analyze distribution of high-frequency and silent users to assist operational strategy.
• Chat Detail Traceability: Complete records of each chat (including attribution data captured by split links).

This data helps operations teams make more scientific decisions—such as increasing agent scheduling during peak hours or training agents with slow response times.

User Profiling—From “Anonymous Users” to “Operable Users”

User data in Only TG typically remains at the level of “User ID + Message History,” unable to segment or tag users. This means you cannot:

• Send VIP offers to frequent users
• Send re-engagement messages to silent users
• Target users based on their source channel

TG-Staff Pro’s user profiling feature allows you to add tags to each user (e.g., “High-Intent Customer,” “Post-Sales Issue,” “VIP”) and record their chat history and behavior. Combined with the Bulk Messaging feature, you can precisely send messages based on user segments (e.g., “Users Active in Last 7 Days”) to boost conversion efficiency.

How to Build a Complete Customer Service Data Loop with TG-Staff

Here’s a three-step actionable plan to form a complete data loop from attribution to handling to review:

Step 1: Configure分流链接

1. In the TG-Staff console, generate分流链接 for each advertising channel.
2. Append UTM parameters to the link (e.g., ?utm_source=facebook&utm_campaign=summer2025).
3. Use the分流链接 for ad campaigns, social media posts, or email promotions.

Step 2: Set Up Conversation Routing Rules

1. Configure project-level routing rules in the console (recommend “Online First” mode to prioritize online agents).
2. Specify the agent scope (all agents or specific ones) to ensure coverage during peak hours.
3. Enable automatic translation (if multilingual support is needed) to reduce communication barriers.

Step 3: Leverage Conversation Statistics and User Profiles for Continuous Optimization

1. Weekly review conversation volume trends and agent performance dashboards to adjust scheduling and agent count.
2. Use user profile tags to classify frequent users into “high value” groups and send exclusive promotional messages.
3. Analyze attribution data: compare conversation volume, user wait time, and conversion rates across channels to optimize ad budget allocation.

With these three steps, you can upgrade from “gut-feel operations” to “data-driven decision-making.”

FAQ

Q: Doesn’t Only TG have data reporting features? A: Only TG focuses primarily on bot interaction building, and its free version and some paid versions have limited data reporting capabilities, especially lacking ad attribution and conversation-level statistics. If you need to track user sources, agent performance, and conversion paths, we recommend using TG-Staff’s分流链接 and conversation statistics features.

Q: What data can TG-Staff’s分流链接 track? A: The分流链接 can capture the visitor’s IP address, browser User-Agent, URL parameters (such as UTM tags), and click time. This data is included in the conversation details page to help you determine the user’s source channel and device type.

Q: I don’t need Only TG. Can I use TG-Staff directly for customer service? A: Yes. TG-Staff is an independent customer service and operations SaaS platform that supports real-time two-way chat, conversation routing, automatic translation, content moderation, and more, without requiring Only TG. You can connect your existing Telegram Bot to the TG-Staff console.

Q: Does TG-Staff’s conversation statistics support export? A: Currently, the professional version provides a data statistics dashboard within the console, allowing filtering and viewing by time range. For specific export features, please refer to the official documentation or contact @tgstaff_robot for the latest information.

Q: Does using TG-Staff for attribution require additional configuration? A: Yes. You need to use the分流链接 generated by TG-Staff (Standard plan and above) in your ad or social media links, and append custom parameters (e.g., ?source=facebook). The system will automatically capture and associate them with the corresponding conversation.

Next Steps

If you are using Only TG or other Bot tools and find their data reporting capabilities insufficient, try TG-Staff’s 3-day free trial. Visit https://app.tg-staff.com/ to register, or join Telegram to contact @tgstaff_robot for one-on-one assistance.

For detailed documentation and configuration guides, please refer to the TG-Staff Official Documentation.