The result leads to a specific post
The report goes beyond averages. Every finding can be opened and compared with the posts that support it.
Three months of hotel posts
The profiles contain posts about packages, the restaurant, the spa and events, published in several formats and at different times.
Performance patterns
AI groups comparable content and identifies where a difference is repeated and where it results from a single post.
- ranking of topics and formats
- best times by channel
- links to source posts
Analysis you can verify
The module links post content to available results and looks for recurring patterns. It does not treat a single record as a universal rule or change the posting plan automatically.
Groups posts
It organises posts by topic, format, channel, objective and period to compare similar content.
Identifies patterns
It shows which combinations of content, format and timing more often deliver better available results.
Leads to the source
It links every important finding to the specific posts and metrics used in the analysis.
How is the post report created?
Collecting the history
AI retrieves published content, dates, formats, channels and available metrics.
Describing the content
It identifies the topic, objective, offer element and structure of each post.
Comparing results
It compares similar posts and separates consistent patterns from individual spikes.
Report with sources
It presents findings, caveats and links to the posts behind the result.
Content and performance stay connected
The report’s value depends on the scope of data provided by each channel. AI shows the period analysed and does not compare metrics with different meanings.
What does AI use?
- post history and content
- channel, format and publication date
- available reach, reactions and clicks
- optional context on changes and campaigns
What does the team receive?
- ranking of topics, formats and times
- separate comparisons for each channel
- findings linked to source posts
Findings support decisions; they do not change strategy
Paid promotion, seasonality or a one-off event may affect the result. The team can see the source data and decides which patterns to use in the next cycle.
The employee selects the period analysed, checks the posts behind the finding and approves its use in the content plan.
The module does not create posts, build a calendar, publish content or respond to comments.
Less guesswork for the next plan
The team knows which areas of the offering consistently attract audience attention.
The choice of photo, video or carousel can be informed by the history of the hotel’s own profiles.
Every recommendation can be quickly checked against the post and its performance.
Channel data comes together in one report
The Central Publishing Dashboard provides the content and performance history. Context input can describe promotions, campaigns or changes that are not visible in the figures alone.
Related process elements
Frequently asked questions
Which results does AI analyse?
Those provided by the relevant channel, including reach, reactions, shares and clicks. The report always describes the metrics used.
Can different channels be compared?
Yes, but metrics with different meanings are shown separately. The Channel Comparison module provides a more complete comparison of activity.
Are paid posts separated from organic ones?
They should be identified and analysed separately if the source provides information about promotion.
Does the report change the publishing plan automatically?
No. It provides verified findings, while the decision to change the plan is made by the team or a separate module.