SHOPLINE provides abundant promotion functions, lets merchants have the flexibility to set up different marketing/promotion events to trigger more sales; but how do we evaluate the efficacy and efficiency of these events?
＊Please use PC / tablet to access Shoplytics. Currently, mobile device browsing is not supported.
In page "Sales and Promotions", merchants can have the data of:
- The rate of discount orders vs gross orders, showing to what extent of the shop's sales relying on promotion events
- The distribution of promotion order type and level, showing which type/level of promotion is the most often used
- Credit amount/ customer analysis, from the reward/applied/expired analysis, knowing the credit's usage status
- Top-performing promotions, examining which promotion events is the most popular based on the orders/revenue relates to the event directly
"Sales and Promotions" Page provides a full evaluation of the promotion events, helps you determine whether your goal is achieved, and more importantly, help you set a better plan/target for the next marketing event.
- Discount Order Analysis
- Promotion Type and Level Distribution
- Store Credit Analysis
- Top Performing Promotion
Discount Order Analysis
This analysis shows you the orders of using promotion campaigns or store credits, which show the importance of promotion to sales growth.
| Index | Index Description |
| Gross Order | Total gross orders created (Including canceled orders) |
| Order with Promotion | Orders with any kind of promotions, including discount amount、discount %、free shipping、bundle pricing、membership tier discount. |
| Orders with Credit | Orders which have store credits applied |
Promotion Type and Level Distribution
The Promotion Type and Level Distribution shows you which promotions have been used more often. You can also refer to the promotion setting in Promotions
| Index | Index Description |
| Type Distribution | Orders with particular type of promotion ÷ Discount Orders * If one order has two promotion types applied, then that order will be counted into each type one time respectively. |
| Level Distribution | Orders with particular level of promotion ÷ Discount Orders * If one order has two promotion levels applied, then that order will be counted into each level one time respectively. |
*If an order applied two promotion types, the system will count this order in both types, at the same time, the system will also count the order in both types if the order applied two promotion levels.
Store Credit Analysis
In Store Credit Analysis, there are "Amount" and "Customer" Analysis for Reward, Applied and Expired status in selected time range.
| Index | Index Description |
| Amount - reward | The credit amounts that "rewarded" in the selected time range. |
| Amount - applied | The credit amounts that "applied" in the selected time range. |
| Amount - expired | The credit amounts that "expired" in the selected time range. |
| Customer - rewarded | The unique customers who have been "rewarded" credits in the selected time range. |
| Customer - applied | The unique customers who have "applied" credits in the selected time range. |
| Customer - expired | The unique customers who have "credits" expired in the selected time range. |
Top Performing Promotion
The Top Performing Promotion shows the promotion performance, as the data of gross sales and orders. Base on these data, you can optimize and adjust the future promotion strategy for improvement and growth. Please refer to the below table for details showing different numbers of views per page at the right-hand corner.
| Index | Index Description |
| Gross Sales | Gross merchandise value that has applied the promotion events *1 |
| Gross Orders | Gross orders that has applied the promotion events *1 |
| AOV | Gross Sales ÷ Gross Orders |
| Discount Amount | Total discount amounts from gross orders |
| Product per Order | Total Products Sold ÷ Gross Orders |
| Orders from Returning Shoppers | Orders from Returning Shoppers ÷ Gross Orders *2 |
*1 : Cancelled orders are included in Gross Order amount and quantity.
*2 : Orders from Returning Shoppers, which means the customers who have purchased before the selected time range.
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