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Retail Reports

What is it for?

Retail Reports shows all the data collected byeverything the store modulepage collected on one screen:screen: how many registrationssign-ups came in, which QR point is working,came, how many wheel prizes were handed out, whether the coupons were redeemed. The detailed customer list and CSV export live here too.

How do I open this screen? From the left menu, go to Bumerang → Retail → Reports.

Retail Reports screen


1. Summary figures

  • Total records: customer records collected, with this month's and today's counts underneath.
  • Last 7 days: new registrations this week.
  • Wheel spins: how many timesoften the wheel was spun and what share won a prize.
  • Prizes won: the number of prizes the wheel produced.
  • Coupons generated:spun, how many coupons were createdissued and whatused, shareloyal wascustomers, redeemed.open Thisrequests isand the numbersign-up thatlist measuresitself. You can filter the campaign'slist realand effectexport —it.

    high

    When generationto withuse lowit

    redemption means a weak offer.
    • LoyaltyWhen members:you thewant numberto of members andsee how many returned.sign-ups and coupon redemptions a campaign brought.
    • OpenTo requests:compare pendingwhich andQR totalpoint requests.brings more sign-ups.
    • ActiveTo QR points:take the number(masked) ofsign-up aislelist /into cabin / entrance points.Excel.

    Before

    2.you Chartsstart

    • 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 registrationsrecords —and how registration flow moves day by day.
    3. Gender splitdistribution. — the profile of your customer base.

      Daily records and gender charts

    4. Hourly densityintensity (registrationsign-up time) —shows whatat timewhich hour of the day registrationssign-ups happen.arrive; Use it for staff planning and campaign timing.
    5. Wheel prize distribution —shows whichhow prizeoften each slice came upup. how often. This is how you verify that your wheel weights behave as intended.

      Hourly intensity and wheel prize distribution

    6. RegistrationSign-up source (QR point type) —shows which pointQR registrationstype comethe from.sign-ups Windowcame orfrom fitting(storefront, room?entrance, Thecheckout, answergeneral); is here.
    7. Consent & coupon usage —shows the marketing-marketing consent rate and the coupon redemptionusage rate.
    8. rate;
    9. Most loyal customers —lists yourthe 8 most frequent visitors,customers. with

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

    10. At the bottom is the CUSTOMERCollected Records list. Set Gender, PHONEAge ≥, Age ≤, Start, End, Source and VISITSETK columns.and press Filter. To download the filtered list press CSV (filtered). Clear removes all filters.

      Collected Records filters, Filter and CSV (filtered)


3.Indicator Collectedboxes

Records
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

Filter

the detailed customer list with:

  • Gender: All
/ Other.
  • Field / ColumnWhat it doesExample
    GenderAll, Female, /Male, MaleOther.Female
    Age ≥ and/ Age ≤:Age range for records with a date of birth. Records without one are left out by the age range.filter.18
  • / 35
  • Start / End:End theSign-up date range.01.09.2026
    Source:Source theThe QR point type the recordsign-up came from.from
  • (vitrin, giris, kasa, genel as stored). General: came through the store link without a QR point.
  • vitrin
    Consent:ETK commercial-message consent — All, Consented or No.

    Filter applies your selection; Clear resets it.

    Table columns: NAME, PHONEOpted in, No: commercial message consent.

    Opted in
    Full name, Phone, E-MAILmailMasked details.Ay*** Yı***
    Age, GENDERDate,Age 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 AGECSV (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. SOURCEDownload records, also applies the filters on the screen; with no filter it downloads everything.

    Messages you may see

    Personal
    MessageMeaning
    No records foundNo record matches the filter; remove filters with CONSENT, DATEClear.
    No dataloyalty 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 maskeda forseparate data-protectionrow. reasons.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.

    • CSV (filtered): downloads the records matching the current filter as CSV.Segments
    • Download records: downloads all records.
    Data-protection responsibility: the downloaded file contains unmasked personal data. Mind your obligations as data controller when you share, store and delete it.