NEFES evaluates the Story, post and Reels content it prepares for businesses against real account data. This guide presents a practical seven-metric evaluation of Stories to support decisions about the format separately from a general restaurant reach report.
Choose the Story's purpose before you start measuring
Product showcase: Recognition of a café's real new coffee or a restaurant's signature dish.
Practical information: Showing opening hours, location, menu link, or the correct hotel contact channel.
Engagement: Understanding which information the guest wants, through questions, polls, or message replies.
A Story does not need to accomplish all of these tasks at once. Linking measurement to the purpose chosen at the start gives better results.
Seven-metric Story report card
| Metric | Observable source | True meaning | What does it not prove on its own? |
|---|---|---|---|
| 1. Views | Account insights, if available | Story being seen/played | Unique customer |
| 2. Reach | Account insights, if available | Estimated number of distinct accounts that viewed it | Store visit |
| 3. Replies | The business's message log | Contact related to the topic | Sales |
| 4. Poll/question engagement | Appropriate Story engagement | Preference or information need | Representative market research |
| 5. Link click | Link/analytics event, if available | Move to menu, profile, or website | Completed transaction |
| 6. Profile/location interest | Measurable profile/link signal | Research about the business | New customer |
| 7. Verified result | The business's order/appointment record | Real commercial event | That the effect came entirely from the Story |
Metric names shown by the platform may change depending on account type, the features used, and interface updates. Do not make up a zero for a metric you could not reach; clearly write “not accessible/not measurable.”
Sample one-week report
| Day | Story purpose | Real source | First signal to watch |
|---|---|---|---|
| Monday | New product on the menu | Current real photo | Product question |
| Wednesday | Location and opening hours | Verified business card | Link/request |
| Friday | Question box | Approved corporate text | Topic of the questions |
| Sunday | Venue atmosphere | Real, permitted venue | Profile interest |
This table is not a campaign measured for any customer; it is a sample weekly analysis layout. A Story that was not produced or was not actually published does not appear as published in the report.
Do the first and last frames of a Story do the same job?
The first frame of a Story series can attract interest, while the last frame can present the menu or a contact link. Whether the user viewed the whole sequence and whether they reached the link is evaluated only if the platform actually provides that data.
If you do not have data on the drop-off between frames, do not create scenarios such as “this many people viewed the first frame, and everyone left at the end.” A visual packed with text may be a problem; however, confirming that this happened in the account requires real measurement.
Different success questions for a café and a boutique hotel
At the café: “Is the menu link up to date, and are real questions coming in about the new drink?” If a customer clicked through from Instagram and visited the café, that visit is considered separately only if there is verifiable information about it.
At the boutique hotel: “Which room type is attracting more questions, and are requests reaching the correct reservation channel?” Asking about availability via DM is not a completed reservation.
For this reason, assigning every sector a single “Story success percentage” may obscure the business's real goal.
What changes next week based on Story results?
Many views, few questions: The content's purpose may be only brand awareness; assess the explanation and the next step without drawing a wrong conclusion.
Frequently asked wrong price question: Before producing a new Story, the menu or service card should be updated.
Many appointment questions, definitive result uncertain: Check how customer requests are transferred into the business's actual appointment record.
If there is no post: Instead of making up performance data, verify the publishing record. A prepared draft and a published Story are not the same event.
How does NEFES report this data?
NEFES turns the brand's real photos into Story content, manages the publishing schedule, and clearly compiles the engagement data accessible on the real account. Visibility, digital interest and the result verified by the business are shown under separate headings.
Final check: Which account and date did the data come from? Is it actually a published Story? Is the metric available on the platform? Was the real sale/appointment verified against another record? In our explanation, do we separate what we know from what we do not know?
Adapt this guide to your business
If your account provides comparable data for individual Story frames, review the first and last frames over the same period. Use available exit data to decide whether to test shorter text or a different sequence. If that data is unavailable, record the limitation and use the measurable replies or link activity instead; do not make a lasting decision based on a single day.
