Spend & value — Rules2Tag presets
What a customer is worth, and how big an order is.
Each of these is a ready-made rule you can adopt in one click inside Rules2Tag, then change however you like. Nothing runs until you say so, and every rule can be previewed against your own store first.
10 presets in this category
VIP customers by lifetime spend
I want to tag my best customers so I can treat them differently
Tags a customer once their all-time spend passes a threshold you choose.
Why: Lifetime spend is the single most requested segment and the hardest to get right: Shopify segments recompute on demand, but a TAG is durable — it drives shipping rules, discounts, and the flows other apps read. This is also where a 60-day view lies outright: a customer who spent thousands last year looks brand new.
Spend tier (bronze / silver / gold)
I want to band my customers into spend tiers, not just one VIP group
Tags a customer whose all-time spend falls BETWEEN two amounts you choose.
Why: One VIP threshold gives you two groups: VIP and everyone else. Tiers let the middle exist, which is where most of a store's revenue actually sits. Run this preset once per tier with different bands and tags — the upper bound is what keeps a gold customer out of the silver tag.
High-value customers going quiet
I want to know which of my best customers have stopped buying, before I lose them
Tags a customer who has spent a lot all-time AND has not ordered in a while.
Why: The single most valuable segment in retail, and the one a spend threshold alone cannot see: a customer who spent thousands and vanished looks identical to your best active customer if you only sort by lifetime spend. Crossing spend with recency is what turns a leaderboard into a win-back list.
Big spenders who only bought once
I want to find people who made one large purchase and never came back
Tags a customer with a high all-time spend who has placed only ONE order.
Why: A high lifetime spend from a single order is a different customer from the same spend built over ten — the first is an unconverted repeat buyer, the second is already loyal. Treating them the same is how a "VIP" campaign lands on someone who has never repeated.
Customers who pay in a particular currency
I want to separate my overseas customers by what they actually pay in
Tags a customer whose lifetime spend is recorded in one of the currencies you list.
Why: Currency is the honest proxy for market, and the one that stops a spend threshold from lying. Comparing lifetime spend across currencies is meaningless, so a VIP rule set in one currency silently ignores everyone who pays in another. Tag by currency first, then set a threshold per market.
Premium products by price
I want to mark my high-end products
Tags a product whose price is at or above the amount you choose.
Why: Price tiers drive merchandising, free-shipping thresholds and ad segments — and a tag is what the rest of the stack can filter on, unlike a price a theme has to compare at render time.
High-value orders
I want to flag large orders for extra attention
Tags an order whose total is at or above the amount you choose.
Why: Large orders often need a different fulfillment path — a signature, a check, a phone call — and a tag is what the rest of the stack (shipping rules, flows, filters) can act on.
Orders with many items
I want to flag orders that will take longer to pack
Tags an order containing at least the number of items you choose.
Why: Item count predicts packing time far better than order value does, and a tag lets the warehouse see it in the order list rather than opening each one.
Orders that left a tip
I want to recognize customers who tip
Tags an order that included a tip.
Why: Tipping customers are the ones most worth thanking, and tips are otherwise buried in the order total where nobody sees them.
Orders paid with a gift card
I want to tell gift-card redemptions apart from new money
Tags an order paid fully or partly with a gift card.
Why: Gift-card orders are revenue you already banked, sometimes months ago. Counted as new revenue they inflate the month twice — once when the card was sold and once when it was spent — and they are worth excluding from acquisition-cost maths for the same reason.