In this episode of Flowium Explains, we explain the difference between Trigger Filters and Flow Filters and give practical examples of how you can use them for your Klaviyo flows.
– Hi, many of our viewers have been asking what is the main difference between a trigger filter and a flow filter and how to take advantage of them. They both have different use cases and should be use it in tandem, so you get another result on your flows. By the end of this video, hopefully you will get to learn on how to take full advantage of them both. Let’s continue to the video. The difference between a trigger filter and a flow filter is that the trigger filter it’s only checked at the moment it happens and only cares about this specific event. So, for someone to start a flow with only a trigger filter, in this case, they will enter this flow. If they start a checkout and the value in that cart is, at most, $100. If it’s above that, they will enter this flow. And it doesn’t matter what they do after they enter this flow. They only need to meet this condition once. And as a trigger filter only cares about this event, each trigger filter is different for each specific metric. In the abandon cart we can discriminate by what discount code did they use, how many items were in the cart? You can set a specific filter for abandoned carts, with two or less items in the cart, for example. Or you can set an abandon cart flow with the specific items in the cart. What was the specific item they had in the cart or if they didn’t have this item in the cart. The source name, if they arrived by web, by email, that kind of sources. Total discounts is the specific amount of a discount, if they used any. And the value of the abandoned cart. Now you can take into consideration the specific value or a range of values of this specific event and the abandoned cart. And again, after your filter talks about only this specific event and only needs to be met once for the subscriber to enter this flow. And about flow filters, these conditions are permanent for the original flow. Like the first one, the condition is that the client has not placed any order since the beginning, since starting this flow. So if, when they enter this flow, if they have not place an order, they will continue with the flow. With the moment they place an order, they will no longer meet this flow filter, and they will exit this flow. So they must meet these conditions, at any times during the duration of the flow. And you can set full filters based on any past event, the subscriber may have, may have had like visiting a specific website, like number of place orders in the past, like number of be with items in the past. Maybe you want to only three or days if they have seen at least, three items in the store. Yes, a full filter is, is a condition, they must meet the moment they entered the flow. And continue to meet for as long they are moving this flow.