Cross-selling aims to increase the value of the average user’s sales cart by intelligently suggesting other products according to the content of users’ carts and their position in the purchasing journey.
There are five different cross-selling profiles in SecuTix, that is, five ways of suggesting that the user might like to purchase other products. It’s up to you to choose which profile to apply in each case!
- Moving upmarket
Before the user adds the product that they’re purchasing to their cart, the system offers them a better (and therefore more expensive) product that they can choose to replace the product that they’re looking at.
E.g.: I’m choosing tickets for Carmen and the system offers me a package containing one seat for Carmen and the show’s programme.
- Classic cross-selling
After a user adds a product to their cart, the system suggests another product that usually complements the first one.
E.g.: I’ve added two tickets for a football match to my cart, and the system suggests adding parking for the evening of the match.
- Conditional cross-selling
After adding a product to their cart and meeting certain criteria, which you will have set in advance (number of tickets selected, price band selected, etc.), the system suggests a complementary product. The difference between this and classic cross-selling is that in this case, a user must have a certain product in their cart under certain conditions to be able to benefit from the second product.
E.g.: I’ve put two child tickets for a show in my cart, and the system then suggests two seats for the children’s workshop prior to my chosen show.
- The impulse buy
After a user adds something to their cart, the system suggests another product that they might like in a side menu.
E.g.: It’s the start of the season and I’ve put tickets for a show in my cart... In the side menu, the system suggests that I should buy a membership card.
- Post-sales selling
After payment, while the tickets are being generated, the system suggests another product from the catalog to the user that they might like.
E.g.: I’ve just paid for my Carmen tickets, and while the system generates them, they suggest that I should buy tickets to La Traviata.
