What is to be found under Sales analytics?

This following article explains you in depth what each number refers to

Where to find the Sales Analytics dashboard? 

  1. Login to your  Smeetz for Business Profile

  2. Under  "Analytics" > "Sales analytics


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  3. You have the option to view your analytics according the to following period
    - per month
    - per week
    -per day

    Chose one that corresponds your needs

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  4. You may choose the beginning and end of the period you would like to analyze, as well as the number of days in rolling average, the product, and the ticket.
  5. You may choose as well:

The Source: from which source the end user came and made the booking
The Type of revenue: You may choose between Net or Gross type of revenue . Be aware, the gross revenue  is the nominal price and the collected fees. The net revenues removes discounts, promo code reductions, invitations, membership entries and collected fees. The Smeetz payment and booking fees, as well as payment costs aren't removed from either revenue. Taxes aren't removed either.

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What does Sales analytics contain ? 


In the first two rows, each box shows you a metric and its comparison to the last month/week or day, depending on the period sheet you selected. It only shows you the data for which the sale time is between the two given dates, regardless of the period.

  1. In the first row you may find


      - Total revenue of bookings for the current period

    - Number of bookings for the current period

    - Average booking size in tickets for the current period: number of tickets divided by number of bookings.

  2.  In the second row you may find

Average booking revenue

This indicates you the average revenue you are making by booking with the given timeframe (day/week/month) selected below. You can compare with the one from the previous month on the right hand corner and the difference indicated on the left. The direction of the arrow helps you understand if the current month/week or day there is a decrease or growth in sales. 

Conversion rate
Percentage of people that have selected a ticket on the booking flow and who have finished the process. 

Estimation of the proportion of finalized orders among all orders

For the given timeframe selected above, this percentage of people that start the booking flow do follow through the booking. 

Average time from booking to visit in days

Average number of days between order's time and scan time (or activity start time if scan time is not given) 

Graphs 

The graphs do not depend on the period (month/week/day) but according to the the starting and ending date you have selected above. They are however affected by which products, tickets and sources you chose.

Revenue by date and product

You can compare the revenue brought by different products over time according to the dates, products and tickets and sources selected above. 

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  1. Revenue by product

    This graph shows you the proportion of revenue brought by each product, according to the dates, products and tickets and sources selected above



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    Conversion rate 7-days rolling average by date
     

    This graph shows you the evolution of your conversion rate. It can show you if customer start finishing the booking process more or less depending on changes in your products, prices, or booking process, for example.

    Revenue by ticket

    This shows you which part of your revenue comes from which ticket.

    Revenue by date and ticket

    Revenue by the date and ticket you have chosen above according to the dates, products and tickets and sources.

    This shows you the evolution of the revenue brought by each ticket over time. The vertical axis is the revenue on a day, in the currency you use.

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    Booking revenue 7-days rolling average

    For each day, the value is the revenue  made during the 7 previous days  (including that day) divided by the number of bookings among the 7 previous days.

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    Revenue by weekday and hour

    This graph helps you better understand your customers' buying habits.
    The bigger the dot the bigger the revenue. In the example below, we can see that less revenue is done on mondays compared to other days. This can help your marketing team to know when to boost sales or when it is not worth it.

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    Average time from booking to visit 7-days rolling average in days

    This will help you to know when to launch your event and when to target your customer to book. This can also help you to calibrate your dynamic pricing strategy and see how it affects your customers’ buying habits.

    Revenue by gender (when available)

    This data only appears if you ask your customer  (with custom fields) to let you know their gender. In order to know that so you can target our clients better please read the following article. Set up custom fields 

    Revenue by city (when available)

    This data only appears if you ask your customer  (with custom fields) to let you know th

    Revenue by promo code use

    Null is the revenue for which no promo code was used. The value is the revenue linked to each promo code. For example, if I buy a CHF50 ticket and use a CHF 10 code, the gross value is 50 and the net value is 40, depending on the parameter you chose at the very top.