Let’s take a look at a few examples,
In these examples we are using generic products. But from our experience we know that the same concept can be implanted in almost any type of store, even for B2B stores.
In fig. 1 you can see we have three separate events Valentine’s Day, the Super Bowl, and Oscar Night. There are attributes which are relevant only to the particular event and products which are relevant to multiple events. So, we create three separate global ranks, one for each event, and for Valentine’s Day and Oscar night we push up jewelry products, but for Oscar Night and Super Bowl we also push up clothing. Once this is done, further prioritization can be given based on the attributes. So, for the Super Bowl rank, clothing which is related to football and the NFL are given a higher priority, while the Oscar Night rank prioritizes jewelry and clothing that are gold and Valentine’s Day prioritizes the colors red, pink, and white. | |
In fig. 2 we have three more events, the Stanley Cup, the NBA Finals, and Memorial Day, all of which can be associated with very similar products. We can push up hats and t-shirts for all three and shorts for both Memorial Day and the NBA Finals. Again, within each rank we have additional attributes which prioritize the products. So, hats and t-shirts are pushed up for all ranks, but when you’re using the Stanley Cup rank it will give extra priority to the hockey and NHL related hats and t-shirts. When you switch to the Memorial Day rank hats and t-shirts are still pushed up, but now so are shorts and priority is given to the red, white and blue items. | |
In fig. 3 we have Christmas, Hanukkah, and the Winter Solstice this time. Since these are all winter holidays, there are many overlapping products such as sweaters, beanies, and jackets. Items like toys and electronics also overlap between Christmas and Hanukkah. Christmas also has its own colors of red and green while Hanukkah has blue and white and the Winter Solstice has silver. So again, the overlapping products will be pushed up for all ranks while the attributes are used to give additional priority on a per rank basis. |
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Finally, in fig. 4, we have an even more advanced example with 4 overlapping ranks. Here we have Mother’s Day, the Kentucky Derby, Star Wars Day, and Cinco de Mayo. Though they all happen around the same time of year, these are four very disparate events, however, we can still find overlapping products. Hats would be relevant for all four, while something like sundresses would be relevant for Mother’s Day, the Kentucky Derby, and Cinco de Mayo. In addition, there may be products which are only relevant for one rank, for example, flowers and cards for mother’s day or suits for the Kentucky Derby. As always, we have rank specific attributes like color or theme and, in this case, even color overlaps between Mother’s Day and the Kentucky Derby. So, we can push up hats for all ranks and sundresses for the three we mentioned earlier. Then we can give priority based on the specific rank, so Star Wars themed items for Star Wars day and red, white and green items for Cinco de Mayo. |
Building sets of rules using global rankings and date ranges for reoccurring events is a smart way to improve your conversion with minimal resource utilization. It saves you time and money by allowing you to easily promote groups of products on a global level. Global rankings are flexible and, once they’ve been set up, allow you to push products globally based on your need with the flip of a switch.