MAX Channel Statistics: Where to Find Analytics and What to Track

You can now view your own MAX channel statistics directly inside the messenger: open the channel → tap or click the channel name → open “Channel Statistics”. The built-in analytics shows overall subscriber and view data, their change over a selected period, and the percentage of the audience with channel notifications enabled. MAX allows a reporting period from one week to three months.

For content analysis, it is also useful to compare individual post views with reactions, comments, reposts, topic, format, and publishing time. A combination of metrics is much more informative than one large number.

Where to Find MAX Channel Statistics

The general path is the same across the main MAX clients:

1. Open your channel.
2. Tap or click the channel name.
3. Open the channel profile or settings.
4. Select Channel Statistics.
5. Choose the period you want to analyze.

MAX officially states that the statistics feature is available in:

• · Mobile;
• · Desktop;
• · Web.

The channel owner also controls access to analytics. Because the feature is still being developed and tested, individual interface elements and permissions may change over time.

If You Cannot See “Channel Statistics”

Check:

• · Whether MAX is updated;
• · Whether you are using the owner account or an account with the required permissions;
• · Whether the option moved in a newer interface version;
• · Whether the feature is available in your current client.

Do not treat older screenshots as a permanent map of the interface. Channel analytics is a relatively new feature and MAX continues to develop it.

What Built-In MAX Statistics Show

MAX's published description confirms several main groups of data.

Metric	What It Shows	How to Use It
Subscribers	Audience size and its change	Track growth or decline
Views	View dynamics across publications	Compare content performance
Period trend	How metrics change over time	Find growth, drops, and spikes
Notifications enabled	Share of the audience with channel notifications enabled	Understand potential push availability
Reporting period	From one week to three months	Compare short and longer intervals

Do not automatically add features to this list that MAX has not officially confirmed for the built-in dashboard.

Reactions and comments are useful for analysis, but MAX's published description of the new statistics section does not state that they are already aggregated in the main analytics dashboard. You can still track them on individual posts and include them in your own analysis.

Subscriber Statistics: What to Watch

Total subscriber count is the most visible number, but by itself it explains very little.

More useful questions include:

• · How did the audience change over the period?
• · Is growth accelerating or slowing down?
• · Did a promotion create an unusual spike?
• · Did post views increase after subscriber growth?
• · Is the gap between subscriber count and reading activity becoming larger?

Absolute Subscriber Growth

A simple formula:

growth = subscribers at end − subscribers at start

Example:

1,240 − 1,100 = +140 subscribers

Audience Growth Rate

To compare different periods:

growth rate = (end subscribers − start subscribers) / start subscribers × 100%

Example:

(1,240 − 1,100) / 1,100 × 100% ≈ 12.7%

Use this primarily for your own trend, not as a universal benchmark.

View Statistics: What to Compare

Views show how actively publications are being consumed. But do not call every view count “unique reach” unless MAX explicitly defines it that way.

Track:

• · Views on individual posts;
• · Overall view dynamics over the selected period;
• · Average views across comparable posts;
• · Median views;
• · View changes after subscriber growth;
• · Differences between topics and formats;
• · Results for posts of the same age.

Do not compare a post that is two hours old with one that has been live for a week. Choose a consistent window and record each post at the same age.

Why Median Views Can Be More Useful Than Average Views

One unusually strong post can pull the average upward and make the entire channel look stronger than it normally performs.

Example:

420, 450, 470, 490, 2,800 views

Average:

(420 + 450 + 470 + 490 + 2,800) / 5 = 926

Most posts, however, are around 450–500 views.

Median:

470

That is why both values are useful:

• · Average includes the effect of large spikes;
• · Median better represents a typical post;
• · The gap between them helps reveal outliers.

Views as a Share of the Subscriber Base

For internal comparison, you can calculate:

view-to-subscriber ratio = post views / subscribers × 100%

Example:

540 / 1,200 × 100% = 45%

This metric has limitations:

• · Views may not equal unique people;
• · Non-subscribers may also view the post;
• · Subscriber count changes over time;
• · Some posts continue accumulating views for longer than others.

It is therefore safer to call it a view-to-subscriber ratio rather than automatically calling it reach or an official MAX ERR metric.

Compare this ratio mainly inside your own channel and with the same calculation method.

What the “Notifications Enabled” Percentage Means

This is one of the most interesting new MAX metrics.

It shows what share of the audience has left channel notifications enabled. But it should be interpreted carefully.

A high percentage does not mean:

• · Every subscriber will definitely receive a push;
• · Every user will open the notification;
• · Every post will get the same early response;
• · MAX guarantees a specific level of reach.

A lower percentage also does not mean the channel is “bad.” In some niches, users deliberately disable notifications and still read the channel manually.

The trend is more useful:

• · Does the percentage change after posting frequency changes?
• · Does it decline after periods of very high posting volume?
• · Does audience behavior change after large promotional inflows?
• · Do views move together with the notification-enabled share?

MAX does not publish a universal “good notification percentage” for every channel.

Reactions: How to Track Engagement

Even if reactions are not part of the main aggregated analytics screen, they are visible on posts and provide a useful signal of audience response.

For internal comparison:

reaction rate = reactions / views × 100%

Example:

38 reactions / 760 views × 100% = 5%

Do not compare that number to a random “industry standard” without context. Five percent may be strong for one channel and ordinary for another.

More useful questions are:

• · Which topics get more reactions?
• · Which formats repeatedly generate response?
• · Do specific questions and choices work?
• · Does engagement increase together with views?
• · Did the audience mix change after promotion?

For a dedicated engagement guide, see how to increase reactions on MAX and boost engagement.

Comments: When This Metric Matters

Comments are especially useful for channels where people discuss posts, share experience, or answer questions.

You can calculate:

comment rate = comments / views × 100%

For many informational channels, comment activity will naturally be much lower than reaction activity.

That is why comments should not be treated as a mandatory KPI for every channel. Use them as a deeper-engagement metric when discussion is actually part of the content strategy.

Compare:

• · Which topics create discussion;
• · Which questions produce useful answers;
• · Which posts increase comment activity;
• · Whether comments are driven by genuine interest or only by conflict.

More comments do not automatically mean better content.

Reposts: A Signal of Shareability

MAX's official API documentation states that channel-post statistics include views and reposts.

Reposts are useful because they show which publications users consider valuable, interesting, or emotional enough to pass along.

For internal comparison:

repost rate = reposts / views × 100%

Posts that may earn more reposts include:

• · Practical guides;
• · Checklists;
• · Useful collections;
• · Highly relevant news;
• · Strong visual content;
• · Posts that are convenient to send to another person.

Do not optimize every publication purely for reposts. But if one content category consistently gets shared more often, that is a useful signal for the content plan.

Metrics to Track After Every Post

A simple table is enough for basic analysis.

Field	What to Record
Date	When the post was published
Time	Publishing time
Category	News, collection, guide, etc.
Format	Text, photo, video, poll
Views	At the same fixed age after publication
Reactions	Reaction count
Comments	If enabled
Reposts	If available
Extra traffic	Whether advertising or external traffic was used
Conclusion	What should be tested again

You do not need a huge spreadsheet. The important part is to use the same method for comparable posts.

Example

Post	Views	Reactions	Reposts	Takeaway
News	720	18	4	High views, weak response
Collection	610	46	19	Strong engagement and sharing
Guide	680	35	27	Good format to repeat
Poll	540	64	3	Strong reactions, few reposts

This shows that different formats can serve different goals.

Metrics to Review Weekly

Weekly analysis helps prevent overreacting to one random spike.

Useful metrics include:

• · Subscriber change;
• · Overall views during the period;
• · Average post views;
• · Median post views;
• · Strongest and weakest categories;
• · Reaction rate on comparable posts;
• · Reposts;
• · Notification-enabled audience share;
• · Posting frequency;
• · Results of advertising tests.

Then choose one or two hypotheses for the next week.

For example:

Collections repeatedly get more reposts than news. Next week, publish two more collections and compare the result.

That is more useful than rebuilding the entire content plan after one post.

Metrics to Review Monthly

Over a longer period, stable trends matter more than individual posts.

Compare:

1. Subscriber count at the beginning and end.
2. Audience growth rate.
3. Average and median views.
4. Notification-enabled audience trend.
5. Performance of the main content categories.
6. Posting frequency.
7. Promotion-source efficiency.
8. Future-post views after advertising inflows.
9. Reactions and reposts on strong topics.
10. Repeatable wins rather than one-off spikes.

The Main Monthly Question

Do not ask only:

Which post was the biggest?

Ask:

What started working repeatedly better than before?

Repeatability is what separates a useful pattern from a random spike.

How to Analyze Advertising with MAX Statistics

MAX's published description of the built-in statistics feature does not claim full subscriber attribution for every traffic source. It is therefore useful to organize campaigns so you can identify when and where traffic was acquired.

For each placement, record:

• · Date and time;
• · Placement or source;
• · Cost;
• · Clicks, if the ad platform or tracker provides them;
• · Subscriber count before and after the test;
• · Views on future posts;
• · Reactions;
• · Negative audience movement after the campaign.

Cost per Subscriber

If you can isolate the campaign's subscriber gain:

cost per subscriber = advertising cost / new subscribers

Example:

3,000 / 60 = 50 per subscriber

But that is only the first layer.

If source A brings subscribers at 40 each and source B at 65, but source B's users keep reading future posts much more actively, source B may still be more valuable.

Do not evaluate advertising only by acquisition cost. Measure what the audience does after subscribing.

How to Evaluate New Subscriber Quality

After promotion, compare more than the audience counter.

Check:

• · Did average views change?
• · Did median views change?
• · Are future posts receiving more views?
• · Is there more response?
• · Does the growth remain visible across several posts?
• · Is the gap between subscriber count and views becoming unusually large?

Example:

Before promotion:
1,000 subscribers, a typical post gets 420–470 views.

After promotion:
1,500 subscribers, a typical post gets 430–480 views.

The audience grew by 500, but reading activity barely changed. That is a reason to review the source quality.

For a deeper diagnosis, see why MAX views may be low and what to do.

How to Compare Topics, Formats, and Publishing Times

Statistics become useful when you change one understandable factor and compare similar posts.

If you want to test publishing time:

1. Choose one content category.
2. Keep the format and length roughly similar.
3. Publish at different times.
4. Record views after the same amount of time.
5. Repeat the test several times.
6. Compare average and median views.

Do not conclude:

The 6 PM post got more views, so 6 PM is the best time for the entire channel.

The topic may have been stronger, the post may have been reposted, or external traffic may have arrived that day.

The same method can be used to compare:

• · Short vs long posts;
• · Text vs video;
• · News vs collections;
• · Questions vs ordinary CTAs;
• · Different categories;
• · Different posting frequencies.

A series of comparable observations is more useful than one record-breaking post.

How to Know Whether the Channel Is Really Growing

Growth is not only an increase in subscriber count.

A healthier pattern looks like this:

• · Subscriber count increases;
• · Typical post views gradually increase too;
• · New subscribers continue reading future posts;
• · Strong categories begin to repeat their performance;
• · Reactions and reposts grow in the formats where they make sense;
• · Advertising sources can be compared by quality;
• · The notification-enabled share does not change dramatically without a clear reason.

A weak pattern:

subscribers increase → views stay flat → engagement stays flat → audience source is unclear.

A stronger pattern:

subscribers increase → median views increase → some topics repeatedly work → new readers return to future posts.

What If Views Grow but Subscribers Do Not?

This usually means posts are receiving attention without consistently converting that attention into subscriptions.

Check:

• · Is the channel setup clear?
• · Does the post match the overall channel topic?
• · Is there a reason to stay after reading one post?
• · Is a large share of traffic coming from a one-off external source?
• · Are recurring content categories visible?
• · Is it clear what the user will receive next?

If the main problem is audience acquisition, use how to get subscribers on MAX.

What If Subscribers Grow but Views Do Not?

This is one of the most important diagnostic scenarios.

Possible causes include:

• · The new audience is poorly matched to the topic;
• · People subscribed because of one specific promotional message;
• · Post-subscription content does not match the promise;
• · Too many weak publications are being posted;
• · Users subscribe but do not return;
• · The subscriber increase is too recent to evaluate future-post behavior.

Do not respond by simply buying or attracting more subscribers before checking the current source quality.

Compare typical post views before and after the audience increase. If the subscriber base grows substantially while median views barely move, that matters more than the larger counter.

How to View Another MAX Channel's Statistics

You cannot open another channel's private administrative analytics the same way you open your own.

For public analysis, however, you can use visible indicators such as:

• · Subscriber count;
• · Post views;
• · Reactions;
• · Comments when enabled;
• · Publishing frequency;
• · Topic and content format;
• · Reposts when available;
• · Historical trends collected by third-party analytics services.

Several third-party MAX analytics services calculate their own metrics from public data, including average views, subscriber growth, ERR, ER, advertising activity, and ranking indicators.

Their methodologies can differ.

Built-In Statistics vs Third-Party Analytics

The strongest setup is usually to use more than one layer.

Use Built-In MAX Statistics For

• · Your own channel;
• · Subscriber dynamics;
• · View dynamics;
• · Notification-enabled audience share;
• · Period analysis from one week to three months;
• · Checking changes after your own actions.

Use Third-Party Services For

• · Comparing public competitors;
• · Longer historical trends when the service has collected them;
• · Finding advertising channels;
• · Public rankings;
• · Additional calculated metrics.

Use a Manual Tracking Table For

• · Connecting a post with its topic and category;
• · Recording the advertising source;
• · Tracking acquisition cost;
• · Comparing posts at the same age;
• · Recording hypotheses and conclusions.

These three levels complement each other.

Which Metrics Matter for Different Goals

Goal	Main Metrics
Audience growth	Subscriber trend + future-post views
Content performance	Average and median views + reactions + reposts
Engagement	Reactions / views + comments / views
Advertising	Subscriber gain + acquisition cost + future-post views
Posting frequency	Comparable-post views + notifications + trend
Strong content categories	Median views by category + reactions + reposts
Audience quality	Subscriber count together with typical views
Ongoing attention	Future-post behavior after subscriber growth

Do not try to find one “main metric” for every decision.

Metrics You Should Not Confuse

Subscribers ≠ Active Readers

Subscriber count shows the size of the base, not how many people regularly read.

Views ≠ Confirmed Unique Reach

Do not automatically treat a view count as unique people unless MAX defines it that way.

Reactions ≠ Guaranteed Reach Growth

MAX does not publish a formula saying more reactions automatically create more distribution.

Notifications Enabled ≠ Notifications Opened

The metric describes a setting, not guaranteed opening or reading of every push.

One Best Post ≠ A New Normal

You need a series of publications before calling something a new baseline.

Third-Party ERR ≠ An Official MAX Standard

Formulas and measurement windows can differ between services.

Common Mistakes When Reading MAX Statistics

Watching Only Subscriber Count

This can hide the fact that the new audience barely reads.

Evaluating a Post Too Early

Compare posts at the same age.

Comparing Very Different Formats Directly

A news post and an interactive poll serve different purposes.

Using Only Average Views

One viral post can distort the result. Track median views too.

Changing Everything at Once

If you change topic, timing, frequency, and acquisition source together, the data cannot tell you which change mattered.

Searching for One Universal “Good Percentage”

MAX does not publish a universal benchmark for views, reactions, or notification settings across all channels.

Treating Third-Party Analytics as MAX's Own Data

External services can use their own formulas and delayed data collection.

A Practical MAX Channel Analysis Cycle

A simple operating system looks like this.

After Each Post

• · Record topic and format;
• · Record views in the same fixed time window;
• · Add reactions, comments, and reposts;
• · Mark whether external traffic was used.

Weekly

• · Review subscriber dynamics;
• · Compare average and median views;
• · Identify strong categories;
• · Review the notification-enabled share;
• · Choose one hypothesis for the next test.

After an Advertising Campaign

• · Compare audience growth;
• · Calculate cost per subscriber;
• · Check views on future posts;
• · Avoid judging the source from only the first post after the campaign.

Monthly

• · Review longer-term trends;
• · Reduce weak formats;
• · Scale repeatably strong formats;
• · Re-evaluate traffic sources;
• · Update the content plan based on data.

The Main Point

Built-in MAX statistics now lets channel owners view subscriber and view dynamics, overall performance, and the percentage of the audience with notifications enabled, with a reporting period from one week to three months.

A complete analysis still should not rely on one number. Add post-level context: reactions, comments, reposts, topic, format, publishing time, and whether external traffic was involved.

A strong analysis system looks like this:

subscribers → views → average and median → notifications → reactions and reposts → traffic source → hypothesis → test → compare again.

Do not search for a universal “ideal ERR,” and do not call views unique reach without confirmation. Compare your own trends, similar post types, and audience behavior after acquisition.

If statistics show that views have become the main growth constraint, continue with how to increase views on MAX. For the broader growth system, use the complete MAX channel promotion guide.

Frequently Asked Questions

Where can I find MAX channel statistics?

Open your own channel, tap or click the channel name, and open Channel Statistics. MAX states that the analytics feature is available on mobile, desktop, and web.

What statistics are available on MAX?

Built-in analytics includes overall subscriber and view data, their trend over time, and the percentage of the audience with notifications enabled. The selectable reporting period ranges from one week to three months.

Can I view MAX statistics on desktop?

Yes. MAX officially says the statistics feature is available on mobile, desktop, and web.

What reporting period can I select in MAX statistics?

MAX's published description says you can analyze a period ranging from one week to three months.

What does the percentage of users with notifications enabled mean?

It shows the share of the channel audience that has notifications enabled. It does not mean every subscriber will necessarily see or open every push notification.

Are reactions and comments included in MAX channel statistics?

Reactions and comments can be tracked on individual posts. MAX's published description of the new summary analytics specifically confirms subscribers, views, their trends, and notification-enabled audience share, so do not assume additional aggregated metrics without checking the current interface.

How can I calculate engagement for a MAX post?

For internal analysis, you can calculate reactions / views × 100% and comments / views × 100%. These are calculated metrics, not universal official MAX benchmarks.

What is a good view percentage on MAX?

MAX does not publish one universal benchmark for every channel. Compare your own similar posts, average and median views, and how those metrics change as the audience changes.

Can I view another MAX channel's statistics?

You cannot open another channel's private administrative analytics as if it were your own. You can analyze visible public indicators and third-party analytics services, while accounting for their individual methodology.

How can I tell whether new MAX subscribers are high quality?

Check whether future-post views increase after subscriber growth, whether audience response remains visible across several posts, and whether the improvement is repeatable. Subscriber growth alone does not prove source quality.