Product

Lead Generation Analytics: See Which Searches and Groups Bring Buyers

Lead generation analytics in Leadgram show which of your Telegram searches and source groups bring real buyers, not just mentions. Every lead carries a 0-100 intent score, so the dashboard counts what matters: high-match leads, the groups they came from and the queries worth running again next week.

Analytics tab
Intent score on every lead
0-100
80+ counts as a high match
Day windows
7 · 30 · 90
Each compared with the period before
High-match leads by hour
24 h
Peak hour marked, in UTC
What the Leadgram Analytics tab measures for every Telegram search you run.

What lead generation analytics in Leadgram show

Lead generation analytics measure where your leads come from and how good they are, so you spend time on sources that turn into deals. In Leadgram, the Analytics tab does this for Telegram: over 7, 30 or 90 days it counts your searches, leads found, high-match leads scoring 80+, saved leads and the groups behind them.

Leads found, high-match leads and AI confidence each show their change against the previous period of the same length. You see at a glance whether this month was better than the last one, not just busier.

  • Completed searches and leads found.

  • High-match leads (80+ score) and high-match rate, the share of all leads that clear the bar.

  • AI confidence: the average score across every result in the window.

  • Saved searches and saved leads, the people and queries you chose to keep working.

  • A daily lead trend, source groups ranked by high-match leads, and a table of every search.

Lead quality metrics: why high-match rate beats volume

Raw lead counts flatter weak searches. Say one query returns 200 people and 8 of them score 80 or higher, while a sharper query returns 30 with 21 above the bar. The second query is the one you want next week, and high-match rate is the number that shows it.

Every score comes with a short reason and the source message, so a falling rate is something you can open and read. Usually the query drifted into generic words, or a chatty group started filling results with small talk.

Watch AI confidence next to it. If the average score drops while leads found goes up, you are catching more people but fewer buyers.

91The courier lead below

  1. 90–100HotStrong matchDirect request, often with a date or budget.
  2. 80–89WarmHigh matchClear need that fits your query. Worth a reply.
  3. 0–79ColdBelow the barCounted in leads found, not in high-match rate.
How the 0-100 score reads: 80+ counts toward high-match rate, 90+ is a direct request.

See also: How the 0-100 lead score and its reason work

Lead source analytics: which Telegram groups bring buyers

The source groups table ranks every group and channel behind your results by high-match leads. For each one you see its type, member count, how many of your searches touched it, leads found, average score and last activity.

Often a few groups bring most of your buyers while a long tail adds noise. A 60,000-member chat can lose to a 900-member niche group where people actually ask for suppliers. Point your next searches at the groups that deliver.

If a group you already belong to never shows up, you can add it through Group sources, which uses your own Telegram account.

Sample resultIllustrative example
  • MW

    Marek W.

    @marek_trasy

    Hot
    91intent score

    Warsaw courier owners· public group · 40 min ago

    We run 14 vans and still track routes in Excel. Need GPS fleet tracking that works on drivers' phones, can start next month.
    • fleet tracking
    • 14 vans
    • next month

    Why · Asks for the exact product, gives fleet size and a start date.

A strong match from a small niche group, the kind of lead that pushes a source to the top of the table.

See also: Add your own Telegram groups as lead sources

Describe your buyer in plain words, then watch the analytics fill in from real results.

Search performance: which queries to keep, rewrite or retire

The searches table lists every completed search with its query, source group, result count, high-match count, average score, how many saved searches use it and when it last ran. One click opens the result set, so you can see the people behind any number.

Read it as a to-do list: each column points to a decision, and the table below maps each one.

Analytics tab metrics and what to do with each one
What it countsWhat to do
High-match rateLow two weeks in a row: rewrite the query in the buyer's own words
High-match leads (80+)Reply the same day, strongest scores first
AI confidenceFalling while volume grows: the query got too broad
Leads found vs previous periodSharp drop: check whether a key group went quiet
Saved leadsHigh scores nobody saves: the query and your real buyer have drifted apart

Reading the lead trend: three common patterns

The lead trend draws two lines per day: leads found and high-match leads. The gap between them tells you more than either line alone. Only completed searches count, so a search that is still running will not skew the chart.

Here is how to read the shapes you will see most often.

  • Both lines rise together. Your niche is busy and the query holds up. Leave it alone and make sure someone answers high-match leads the same day.

  • Leads found climbs, high matches stay flat. The query is catching talk around the topic, not requests. Add the words buyers use when they ask, like “recommend”, “looking for” or a budget.

  • Both lines drop at once. Usually a key group went quiet or changed its rules. Check the source groups table, then point the search at similar communities.

When your buyers write: high-match leads by hour

Optimal posting times shows high-match leads by hour of day in UTC, with the peak hour marked. It tells you when people in your niche ask for help, which is when a fast, useful reply lands best. The chart counts only high-match leads, so a burst of off-topic chatter at night will not move it.

Use it to plan who checks leads and when, not to blast messages. If requests in your niche peak around 06:00 UTC, whoever handles Telegram leads should start the day there.

Vanity counts vs lead funnel metrics

Chat statistics tell you how big and busy a group is. That is useful for buying ads, but it says nothing about who wants to buy. Lead generation analytics start from the other end: the people who asked, and where they asked.

Typical chat statsmembers and messages
  • Member and message counts
  • Every keyword mention, buyer or not
  • No link between a group and real leads
Leadgram analyticsscored leads
  • High-match leads per group and per query
  • Every search opens to the scored leads and messages behind it
  • Leads found and high matches vs the previous period
Group activity stats vs lead generation analytics built on scored leads.

A 15-minute weekly lead generation review

The dashboard pays off only when it changes what you search next. Fifteen minutes a week is enough, and Monday never turns into a reporting day. One rule: change only one query per week, so you can tell what made the difference. Note which query you changed and how, so next Monday you have something to compare against.

  1. Step 1: Open the 7-day window

    Compare high-match leads and AI confidence with last week.

    2 min
  2. Step 2: Check the source groups

    Note the groups that climbed and the ones that went quiet.

    3 min
  3. Step 3: Rewrite the weakest query

    Use the words buyers used in your best leads.

    5 min
  4. Step 4: Save the winners

    A saved search keeps the query and its scored results one click away. Run it again next week for fresh leads.

    5 min
A weekly loop: read the numbers, fix the weakest query, save the winners.

See also: Reopen your best searches with saved searches

From analytics to pipeline and cost per lead

The dashboard measures search quality, not revenue. To see which sources turn into deals, move leads into the built-in Telegram CRM with stages and deal values, or export them to CSV for HubSpot, Pipedrive or a spreadsheet.

Cost per lead is simple math on your side: your monthly plan price divided by high-match leads that month. The free plan gives you 50 ranked leads a month, enough to see whether the numbers work in your niche before you pay.

See also: Track deals by stage in the Telegram CRMExport scored leads to CSVCompare plans and lead limits

Frequently asked questions

What is lead generation analytics?

It is the practice of measuring where leads come from and how good they are, so you invest in sources that produce buyers. In Leadgram it means counting high-match leads (80+ score), ranking the Telegram groups behind them and comparing every search over 7, 30 or 90 days.

How do I find out which Telegram groups bring the most buyers?

Open Analytics and look at the source groups table. It ranks every group and channel behind your results by high-match leads, with leads found, average score and last activity for each one.

How do I calculate cost per lead from Telegram?

Divide what you pay for Leadgram in a month by the high-match leads you got that month. Add the time your team spends replying if you want the full cost. The free plan lets you test this on 50 ranked leads a month.

Does the dashboard track conversions or revenue?

No. It measures search and lead quality. Track stages and deal values in the built-in Telegram CRM, or export leads to CSV and report revenue by source in the CRM you already use.

Is this the same as Telegram channel analytics?

No. Channel analytics tools report subscribers, views and engagement for channels. Leadgram analytics report on the people who asked for what you sell and the searches that found them.

Find your next leads in Telegram

Run a search, review scored matches with the reason they fit and the source group, and export a clean list — all from public signal, no Telegram login.