Summary

The Check Ins & Check Outs report gives you an overview of your check-ins, check-outs, and in-house pets. You can create summaries for date ranges, days of the week, and subdomains or combinations of locations.

Gingr Business Analytics is a paid reporting tool. It works best for facilities with more than one subdomain that need to see combined booking and financial data across Gingr URLs. To learn more and sign up, see Gingr Business Analytics.

The data on this report refreshes every day at midnight to show the previous day's information.

What This Does

• You can tailor your view with sorting options such as subdomain/locations, day of week, and date range.
• You can export each section of this report to Excel or .CSV.
• When you view one date, in house is the number of pets recorded in the facility at any point during that calendar date. When you view a date range, in house is the total of the in-house pets for each calendar date in the range.
• You can right-click any section of the report and show the data as a table.
• You can hover over the graphs to see a tooltip with a breakdown.

Where to Find It

Go to Reporting » Bookings » Check Ins & Check Outs. You can select Check Ins & Check Outs on the left side, or select Go To Report under the matching section.

Report Parameters

The parameters default to all subdomains you can access, all days of the week, and the last 30 days. To change the report, select the parameters in the top right corner of the screen. You can include or exclude the data you want with the filters.

Report Output

The report sorts data into three main categories: By Date Range, By Location, and By Category. A section also shows your total Check Ins, Check Outs, and In House reservations. You can run comparison trends with up to 4 date ranges to compare reservation trends.

Tip: Right-click any section of the report to see the data as a table instead of a graph.

By Date Range

This section shows a graph of total check ins, check outs, and in house reservations for the date range. The blue bar is the number of check-ins, yellow is check outs, and black is in-house pets.

By Location

This section shows a map of your locations. You can view the data by state, drill down to city, or drill down to zip code.

Tip: The location information on the graph, such as city, state, and zip code, comes from the location info in your Gingr app. If a location is missing fields, the graph shows that.

By Category

This section shows a breakdown of check ins, check outs, and in-house pets for your reservation and appointment categories. These match the booking categories in your Gingr app at Admin » Reservation Types & Services Configuration.

Tip: If your booking categories are under the "unassigned" category in your app, they all fall under that category in this report.

Comparison Trends

Comparison trends let you pick up to four date ranges for historical analysis. By comparing data over time, businesses can spot patterns, check performance, and make decisions to improve strategy and efficiency.

1. Select Run Comparison Trends on the By Date Range graph.

   

2. On the new page, choose up to four date ranges. Gingr shows your data as a graph and color-codes each date range.
3. To narrow your analysis, filter by reservation types, subdomains/locations, and categories.

For example, you can track reservation trends during the Christmas season over the years.

Reference: The first date range (Date Range 1) sets the x axis for all the scatter graphs. It controls the months that show on the graphs. Date ranges 2, 3, and 4 update as you enter dates, but they do not change the months shown on the graph.

Export the Report

You can export each section of the report to Excel or .CSV.

1. Create the report with the parameters you want.
2. Find the three dots next to the section you want to export.
3. Select Export Data.

   

4. In the pop-up, choose an export option:
   • Data with Current Layout: The default option from Microsoft BI, available for table and matrix visuals. No report outputs match this option now.
   • Summarized Data: Exports the data as it shows on the report, a high-level overview of totals.
   • Underlying Data: Exports the raw data behind the totals on the report. No report outputs match this option now either.

   

5. Open the data in the program you prefer, such as Excel, Google Sheets, or Pages.

   

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