SMM Posting · analytics inside the content workflow
Social media analytics: from publishing results to the next decision
See what happened after publishing: views, interactions, engagement, audience changes, stronger channels, formats and rubrics — then turn measured results into the next action.
7 / 30 / 90 day views Only available network data PDF · XLSX · CSV exports
One screen from overall movement to an individual post
Choose 7, 30 or 90 days, refresh metrics, review changes and export the result in the format you need.
Publication performanceViews and interactions by publication date
30 days Views Interactions
Period insightsBased only on measured data
Format: image posts produced a more consistent response than text-only posts.
Rubric: “Practice” appears more often near the top of the post ranking.
Timing: there is enough history to evaluate stronger publishing windows.
Publication funnelFrom plan to measured audience response
Planned62
Published48
With statistics42
With audience response31
Top publicationsAvailable interactions, then views
VK · Image8.1%
Telegram · Poll6.7%
MAX · Video5.4%
Analytics → actionRecommendations with confidence
Enough dataOptimize publishing time
Project history now shows stronger time windows. Apply them to the schedule when the recommendation fits your workflow.
All numbers are illustrative and only demonstrate the interface structure. The real workspace shows your project’s actual data and only metrics exposed by connected platforms.
The interface below mirrors the logic of the real SMM Posting analytics workspace. All displayed numbers are illustrative; the workspace uses your project’s actual data and only metrics that connected platforms provide.
Compare more than social networks
Break results down by the dimensions that help you make the next content decision.
Review platforms separately instead of hiding differences in one average
VK · Telegram · MAX · othersCompare connected pages, groups and channels inside the project
Per connectionText, images, video, polls and mixed publications
Actual post formatSee which recurring content themes produce more consistent measured results
Project rubricsCompare measured outcomes of AI-assisted and manually prepared content
Correlation, not causationCompare 7, 30 and 90 days with the previous comparable period
ChangeAI-assisted versus manual content is shown as correlation within the project history, not as proof of causation. Conclusions are surfaced only when there is enough comparable data.
Move from reporting to the next action
SMM Posting can surface measured recommendations when a project has enough history instead of stopping at a metrics table.
Find stronger time windows from project history and apply them to the schedule when useful
Based on accumulated postsCompare native vertical delivery with regular video where comparable metrics exist
Reels · Shorts · TikTokIdentify a content direction worth keeping or testing again
From measured historySee which publication type performs more consistently in the selected period
Text · image · video · moreGet a short explanation of meaningful changes without reading every table
Measured project dataSee whether the data sample is sufficient before acting on a recommendation
No advice from an empty sampleRecommendations include a confidence level and only appear when the project has enough comparable data. You remain in control: useful publishing windows can be applied to the schedule, while format and rubric suggestions can guide the next content cycle.
Audience
Track audience movement and data coverage
Review current audience by channel and changes over time where the platform makes those metrics available.
Audience snapshots are collected automatically about every 6 hours, so the history grows with the project. A separate availability view shows which metrics are actually available for each connected platform.
Build a report once — or deliver it on a schedule
Export analytics for a client or team and set up recurring delivery when needed.
Choose a period
7, 30 or 90 days
01Choose a format
PDF, XLSX or CSV
02Add recipients
Enter e-mail addresses for recurring delivery
03Set the cadence
Weekly or monthly with delivery history
04Delivery history stays in the project. XLSX includes a summary, period insights and a publication table; PDF is designed for reading, while CSV is useful for further data processing.
Data availability
No invented zeros
Different social networks expose different metric sets. The interface keeps those differences visible instead of creating false comparability.
This lets you distinguish a real zero from a metric the platform simply did not provide, which matters for channel comparisons and automated insights.
Show the actual measured value
Used in breakdowns and insightsKeep it unavailable
Never replace it with 0Avoid a strong conclusion
Recommendation waits for samplePreserve differences in metric coverage
No artificial universal averageWhat to know about SMM Posting analytics
Short answers about periods, metrics and reports.
Where do the metrics come from?
From actual published content and connected platforms. SMM Posting uses only metrics available for the specific channel.
Which periods can I review?
The main workspace supports 7, 30 and 90 day horizons with comparison against the previous period.
Can I compare channels, formats and rubrics?
Yes. Breakdowns are available by social network, individual channel, publication format and content-plan rubric.
What if a network does not provide a metric?
The metric remains unavailable rather than being turned into zero, so comparisons stay honest.
Which report formats are available?
PDF for a ready-to-read report, XLSX for spreadsheet work and CSV for universal data export.
Can reports be sent automatically?
Yes. Recurring e-mail reports can be scheduled weekly or monthly.
Compare networks, channels, formats and rubrics without collapsing everything into one average.
Missing platform metrics stay unavailable instead of being converted into fake zeros.
Period insights and measured recommendations help turn results into the next content decision.
Try analytics on your own publishing history
Open demoSee what changed after publishing — and what to do next
Connect channels, publish content and let the project accumulate comparable data. Analytics then links results back to posts, formats, rubrics and the next planning decision.