Telegram Ad Analytics: How to Track Subscribers and Leads with Telegram Expert

After an advertising post, the channel grew and managers received service inquiries. To evaluate the placement, you need to determine which joins are connected to the publication and where the leads came from. When messages are received by several work accounts, keeping this record becomes more difficult.

An invite link will show a channel join, but it will not reveal a later request for a commercial proposal. If the ad leads directly to a conversation, the number of subscriptions may not relate to the placement goal at all.

Before paying for a post, define the primary action: joining the channel or the first qualified inquiry, for example a request for pricing with a description of the task. A greeting and repeat messages from an already recorded client do not create new leads.

1. Open your channel invite settings from an account that has permission to create links.

2. Create an additional link and name it by placement, date, and specific publication, for example design_digest_14-10_post.

3. Save the exact address, placement cost, publication time, and link to the advertising post.

4. Send the prepared invite link to the publisher. After publication, open the post and verify that it contains this exact address.

5. Record the metric before the placement starts, then measure it at equal intervals, for example after 24 hours and seven days after publication.

Create a placement log. For each post, store the campaign code, publisher name, publication link, advertising URL, actual publication time, cost, and measurement results. This lets you return to a specific post if the statistics do not match.

Check the link expiration date and usage limit so that the invite does not stop working too early. When join requests require approval, track pending requests and completed joins separately: Telegram stores these metrics separately.

Record the invite result and the channel audience size separately.

Direct contact with a manager. Add an offer code to the ad and ask the user to provide it when contacting you. The manager saves the code with the inquiry. Some clients may skip the instruction.

Bot link. Add a start parameter for each placement, for example https://t.me/your_bot?start=design_digest_oct. When the bot starts, it receives the code. Configure it to save the code and continue the flow according to Telegram instructions. Opening the link and starting the bot do not yet constitute a lead.

Channel invite. It lets you count joins. If the user later contacts a manager, the advertising identifier may be lost. Preserve the source using a code, a bot, or a question in the first conversation.

Using the same uncoded link in every ad makes source attribution more difficult.

UTM parameters are suitable for ads that lead to a website with analytics. The parameters utm_source=telegram, utm_medium=paid_placement, and utm_campaign=october_channels help group visits in Google Analytics. See Google Help for details.

Track the transition from a website to Telegram as a separate event. Clicking the button does not yet confirm a subscription or an inquiry. UTM parameters on a channel address do not create lead statistics inside the messenger.

Record the basis for attribution next to the source. An advertising code links the lead to a post more precisely. A reply such as “I saw you in such-and-such channel” confirms the publisher based on the client’s statement, but it may refer to another placement. If there is no confirmation, mark the source as “unknown”.

Count one client once by the first qualified inquiry within the selected period. Follow-up details extend the existing record; analyze a new order separately.

When several accounts receive leads, managers have to switch between conversations and compare replies. Telegram Soft Expert combines account management with recurring operations. The Forwarder sends incoming private messages to a workgroup.

Create a supergroup, add operators, select the accounts, and specify the group in the program. An incoming message will appear there; the operator’s reply will be sent to the client from the account the message was addressed to. For different areas, you can use several workgroups and distribute selected accounts between them. Test the setup with a test conversation.

In the Telegram Expert Autoresponder, you can set a reply template for incoming messages asking users to describe their task and name the source. Select the accounts and the template. Test its combined operation with the Forwarder using a test conversation.

For your own mailings and invitations in Telegram Expert, result counting and HTML task reports are available.

1. Subscribers: divide the placement cost by the number of joins recorded through the dedicated link during the selected period. Describe the result as the cost per join through the link.

2. Qualified inquiries: divide the placement cost by the number of first leads with a confirmed source during the same period. For example, with spending of RUB 12,000 and eight such leads, the cost per confirmed inquiry is RUB 1,500.

3. Lead quality: check how many leads reached the agreed next step. Keep the definition of that step the same for every publisher.

Consider cost, lead quality, and the share of unknown sources. Do not distribute unattributed leads among publishers. Dividing leads by joins to estimate conversion is valid only when those specific people are linked and the same observation period is used.

Recent joins can additionally be checked against the Telegram recent actions log. For long-term history, save your measurements.

Before the placement goes live, open the prepared link from a test account and verify the join or the bot launch with the code. Send a test message to the manager, receive a reply, complete a test log entry, and exclude it from the report.

Save the address of the published post and repeat measurements on schedule. These data will help you choose a publisher for the next media buy.

Can I find out where old subscribers came from?

Without separate links and historical records, it is impossible to reliably attribute earlier members to specific placements.

Can I calculate subscriber-to-lead conversion using two aggregate numbers?

Only if specific joins are linked to inquiries and a single observation period is used.

Do I need a bot for a small advertising campaign?

Invite links are enough for subscriptions, and a manual log is suitable for a small flow of leads. A bot is useful when the placement code needs to be preserved when the conversation starts.