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Retail Reports

What is it for?

Retail Reports shows everything the store page collected on one screen: how many sign-ups came, how often the wheel was spun, how many coupons were issued and used, loyal customers, open requests and the sign-up list itself. You can filter the list and export it.

When to use it

  • When you want to see how many sign-ups and coupon redemptions a campaign brought.
  • To compare which QR point brings more sign-ups.
  • To take the (masked) sign-up list into Excel.

Before you start

  • The screen and the exported file show names, phones and e-mails masked for KVKK. Full details cannot be taken from this screen.

Step by step

  1. Open Retail > Reports in the left menu. Eight indicator boxes are at the top (table below). Download records at the top right downloads the records as a CSV file; Store returns to the store screen.

    Retail Reports indicator boxes and Download records

  2. Look at the charts: Last 30 days: daily records and Gender distribution.

    Daily records and gender charts

  3. Hourly intensity (sign-up time) shows at which hour of the day sign-ups arrive; Wheel prize distribution shows how often each slice came up.

    Hourly intensity and wheel prize distribution

  4. Sign-up source (QR point type) shows which QR type the sign-ups came from (storefront, entrance, checkout, general); Consent & coupon usage shows the marketing consent rate and coupon usage rate; Most loyal customers lists the 8 most frequent customers.

    Sign-up source, consent and coupon usage, most loyal customers

  5. At the bottom is the Collected Records list. Set Gender, Age ≥, Age ≤, Start, End, Source and ETK and press Filter. To download the filtered list press CSV (filtered). Clear removes all filters.

    Collected Records filters, Filter and CSV (filtered)

Indicator boxes

BoxWhat it counts
Total recordsAll form sign-ups. Below: "This month X · today Y".
Last 7 daysNew records this week.
Wheel spinsTotal spins. Below: share that won a prize.
Prizes wonSpins that created a coupon code (prize slices without a coupon, such as "Hediye Cup", are not counted).
Coupons generatedCodes issued from all coupons. Below: number used and share.
Loyalty membersDistinct customers signed up with a phone. Below: how many returned.
Open requestsFitting room/aisle requests waiting or in progress. Below: total requests.
Active QR pointsNumber of defined QR points.

Record list and filters

Field / ColumnWhat it doesExample
GenderAll, Female, Male, Other.Female
Age ≥ / Age ≤Age range for records with a date of birth. Records without one are left out by the age filter.18 / 35
Start / EndSign-up date range.01.09.2026
SourceThe QR type the sign-up came from (vitrin, giris, kasa, genel as stored). General: came through the store link without a QR point.vitrin
ETKAll, Opted in, No: commercial message consent.Opted in
Full name, Phone, E-mailMasked details.Ay*** Yı***
Age, DateAge and sign-up date and time.
Number in the list titleRecords matching the filter. At most 500 are shown; above that, "Showing the first 500 records; download the CSV for all of them." appears.

The downloaded file

Download records and CSV (filtered) give a CSV file Excel can open. Columns: First name, Last name, Phone, E-mail, Birth date, Age, Gender, KVKK, ETK, Source, Language, Date. Name, phone and e-mail are masked. Download records also applies the filters on the screen; with no filter it downloads everything.

Messages you may see

MessageMeaning
No records foundNo record matches the filter; remove filters with Clear.
No loyalty members yetNo sign-up with a phone yet.
Showing the first 500 records; download the CSV for all of them.The list was shortened; download the CSV for all.

Frequently asked questions

Can I get full phone numbers?
No. For KVKK this screen and file give masked data. To message consenting customers use Segments or Automation; the numbers stay inside the system.

The same person appears several times.
Each form sign-up is a separate row. If the same number signed up more than once, each shows; in loyalty it counts as one person.

The charts look empty.
With no sign-ups in the period, a chart shows a flat line or an empty ring.