A Seoul bookshop pays a creator to promote a reading and discussion evening. The video reaches 12,000 YouTube Shorts views. The owner likes that number, but still needs to answer a different question: did enough people keep their bookings to make this a sensible way to promote another event?
Work through a hypothetical report. The creator’s labeled link records 240 website sessions, meaning visits rather than necessarily 240 different people. There are 24 paid bookings linked to the campaign. Four are refunded, leaving 20 bookings kept at the review date. For this example, each booking is one ticket.
Those figures already tell a more useful story than views alone. They show attention, visits and a result the business can check. They do not yet show attendance, profit or how many bookings the campaign caused. The next steps explain those differences before deciding what to repeat.
Start with the outcome you need to judge
For this bookshop, the main outcome is paid tickets that remain booked after refunds. A different business might need qualified appointment requests or completed product orders. Choose one outcome that fits the actual job, then write down exactly what counts. A request for an appointment is not the appointment itself.
Also agree when the report closes. A booking made on publication day may be refunded later. A report taken before the evening cannot establish who attended. The bookshop can review bookings at an agreed date and add attendance after the event, while keeping the dates and measures separate.
Before publication, assign responsibilities. The creator supplies the agreed video report for the stated period. The bookshop supplies booking, refund and cost records. Someone checks how a booking will be associated with the campaign and tests the link and checkout. Our creator brief guide covers agreeing that reporting work as part of the assignment.
Read the journey one step at a time
A small report can show the following six lines. These are invented figures for this example, not a benchmark, a real client result or a recommended target:
- Attention: 12,000 Shorts views in the agreed reporting period.
- Visits: 240 sessions associated with the labeled campaign link.
- Initial sales: 24 paid bookings associated with the campaign.
- Refunds: four of those bookings refunded by the review date.
- Kept sales: 20 bookings remaining, with one ticket per booking.
- Attendance: not yet measured because the evening has not taken place.
Do not turn the lines into a claim that every booking came from a different viewer or visit. A person may visit twice, share a link or buy after returning another way. The report shows the records available under the chosen tracking rules. It needs a short explanation of those rules alongside the numbers.
Views also depend on the platform’s definition. YouTube says that since March 31, 2025, a Shorts view counts a start or replay without a minimum watch time. Its separate “engaged views” measure reflects viewers who chose to continue watching. Therefore, 12,000 Shorts views should not be described as 12,000 people watching the whole message.
When comparing two videos, check the platform, measure, period and any paid promotion behind them. A larger view count can be worth investigating, but it does not by itself tell the bookshop whether visitors understood the event or bought tickets.
Show what your percentage divides
The initial booking calculation is 24 paid bookings divided by 240 tracked sessions, which equals 10%. After refunds, 20 kept bookings divided by those same 240 sessions is about 8.3%. The second figure is lower because the outcome changed, not because the visit count changed.
Label these as booking-to-session ratios for this example. Their denominator, the number underneath the division, is sessions. It is not views, followers, unique visitors or distinct buyers. A session is a visit; one person can have more than one. A booking could also contain several tickets in a real event, although our example assumes one.
Decide whether the bookings and sessions use matching time periods and compatible tracking rules before interpreting that ratio. For example, a code used by someone who never clicked the link adds a booking but not a link visit. If that happens, show code results separately or explain the mixed grouping. A neat percentage is not useful if its inputs describe different things.
Follow the money after refunds
Now give each of the 20 kept tickets a hypothetical tax-exclusive revenue value of 50,000 Korean won, or KRW. Tax-exclusive means this illustration leaves tax out of the revenue figure; it does not prescribe the bookshop’s actual tax treatment. Twenty times 50,000 won gives 1,000,000 won of retained ticket revenue associated with the campaign.
Assume the creator and production cost 600,000 won. Direct event delivery costs are another 300,000 won. For this example, that second cost includes any unrecovered payment fees or other direct costs from the four refunds. In a real report, record them explicitly rather than erasing every cost when a booking is refunded.
The calculation is 1,000,000 minus 600,000 minus 300,000, leaving 100,000 won before rent, general administration and other expenses. It is an illustrative remaining amount, not the business’s final profit. If any relevant cost is missing, the amount will change.
Two further calculations need equally clear labels:
- Campaign spending per kept tracked booking: 600,000 won divided by 20 equals 30,000 won. This is not a cost per new customer unless the business has verified which buyers are distinct new customers.
- Tracked revenue relative to campaign spending: 1,000,000 won divided by 600,000 won is about 1.67. That ratio leaves out delivery and other costs. It is not a profit return or proof that the campaign created all the revenue.
Keep those labels in the report instead of shortening both to “return.” Someone deciding a future budget needs to know which costs and outcomes the calculation includes. If the actual checkout price includes tax, reconcile receipts, refunds and the revenue basis with the person responsible for the accounts before using the figure.
Use link labels without overclaiming
The creator can share a link with agreed labels identifying the source and campaign. In Google Analytics, these labels are called UTM parameters: pieces added to the web address to identify the traffic associated with it. Agree consistent source, medium and campaign values, then test the link and reporting before the video goes out.
Google’s guidance explains how those labels appear in campaign traffic reports. A labeled visit is not automatically a completed booking. Connecting it to orders requires the business’s actual measurement setup and a clear rule for the review period. Do not claim the site tracks those steps until someone has checked that it does.
A campaign code can provide another record, particularly when a buyer types it at checkout. It can also be shared beyond the creator’s audience. If one order has both the link and code, count the order once in the combined booking total. Use a stable order reference to check duplication rather than adding both report totals together.
There will still be gaps. A viewer might search for the bookshop later and book without either label. A regular customer might use the code even though they planned to attend anyway. A short optional checkout question can add context, but a customer’s answer is not complete tracking or proof of cause.
Use the information needed for the task and handle personal information under the applicable requirements. Korean PIPA Article 15 sets conditions for collection and use. This article does not establish the legal basis, consent, retention or overseas handling for a particular tracking setup. Keep customer names and private messages out of the creator’s general report where they are unnecessary.
Distinguish assigned credit from extra sales
Attribution means assigning credit for an action to earlier interactions. Google Analytics documents rules and models for doing that. Our bookshop may assign campaign credit to a booking associated with a label or code. That tells the owner how the report counted it, not whether the customer would have booked without the campaign.
The separate question is how many extra bookings the campaign caused. To investigate that, a business needs a credible comparison with what would have happened without it. Comparing this weekend with last weekend may suggest a question, but a different event, holiday, ticket price or other publicity can change the result.
Google Ads Conversion Lift is an example of a controlled advertising experiment comparing groups that see ads with groups that do not. It is not available to every account, and useful results depend on the study and conversion volume. It is not a ready-made measurement feature for every ordinary creator post or small bookshop.
When a suitable comparison is unavailable, describe the 20 bookings as tracked or associated bookings. Report the limitations clearly. The business can still learn from that result without renaming all 20 as extra sales.
Write the decision the report supports
The hypothetical bookshop’s review note can say: “The campaign is associated with 20 kept bookings at our review date. The worked cost calculation leaves 100,000 won before fixed and other expenses. Attendance is still unknown, and we have not measured how many sales would have happened anyway. We will check the four refund reasons and complete costs before repeating the same offer.”
Next, look at the practical journey. Could visitors see the date, location, language, total price and cancellation terms before paying? Were any refund reasons connected to a mismatch between the video and the booking page? A small number of cases can identify something to investigate; it does not establish why every other visitor left.
If the team chooses another test, change one bounded part of the offer or journey and keep a record of the decision. For example, it could clarify the event language on the page and examine the next booking and refund records. Do not promise that this change will improve results. Our guide to how customers discover offers online in Korea can help the team consider what information a buyer encounters before reaching that page.
A useful campaign report ends with an action someone can own. In this case, the owner checks refunds and costs, the booking team reviews unclear information, and the creator supplies the agreed video measures. Those tasks make a future spending decision more grounded than celebrating a view count on its own.
Sources and scope
Official sources checked October 12, 2026: YouTube’s Shorts view definition; Google Analytics guidance on campaign URL labels and attribution; Google Ads Conversion Lift; and Korean PIPA Article 15. The bookshop, campaign and all figures are hypothetical. No actual analytics account, tax treatment, customer record or campaign outcome was audited.
Cover illustration created with AI for PIN Agency Insights.