Shopify stores tend to build their automated triggers in the wrong order.
Ask any merchant which automation they set up first and nine times out of ten the answer is cart abandonment. It's the default in every email platform's onboarding checklist, the first template Klaviyo hands you, the one every "10 flows you need" listicle puts at number one. So that's where the budget, the copywriting time, and the testing hours go.
Here's the problem. Cart abandonment is one of the noisiest signals in your entire store.
An automated email trigger is a message that sends itself the moment a customer takes a specific action, like adding a product to a wishlist or abandoning a cart, with no manual scheduling involved. What actually makes one trigger stronger than another comes down to a single question: how much genuine buying intent sits behind the action that fires it.
If you want to talk through what this could look like for your store, we're happy to chat.
Why Cart Abandonment Isn't the Strong Signal People Think It Is
A customer adds something to their cart for a dozen reasons unrelated to wanting to buy it right now. They're price-checking against a competitor tab. They're using the cart as a makeshift wishlist because your store doesn't have a real one. They got to the shipping cost page and flinched. They were never going to complete the purchase on that visit; they were just browsing, intending to come back on payday.
None of that is a knock on cart abandonment as a trigger. It still converts, and it should still run. The point is that "added to cart" is a mixed signal. Some of those carts represent genuine, ready-to-buy intent. A lot of them represent friction, indecision, or habit. You can't tell which is which just from the event itself.
The Signal Everyone Underrates: Wishlist Automation Triggers
Now compare that to a wishlist add. There's no checkout page involved, no shipping cost to react to, no account creation wall to bounce off of. A customer clicks a heart icon on a product page for exactly one reason: they want that item. There's no friction to confuse the signal, because the action happens well before friction ever enters the picture.
That's what makes back-in-stock and price-drop triggers so underrated. They're not reacting to a browsing pattern. They're reacting to a customer's own explicit statement of desire, recorded days or weeks earlier, then reactivated the moment the obstacle standing between them and the purchase disappears. Stock comes back. Price drops. The reason they hesitated is gone, and you're the first one to tell them.
It's also about the cleanest form of zero-party data you'll ever get. The customer isn't leaving a trail you have to interpret; they're telling you outright what they want. That's a very different starting point than inferring intent from a page view or a half-filled cart.
Most stores treat this as a secondary automation, something to add once the "real" flows are live. That's backwards. The intent behind a wishlist action is often stronger than the intent behind a cart add, and it deserves to be built first, not last.
The Intent Ladder: Ranking Ecommerce Trigger Emails by Buying Intent
Instead of building triggers in the order everyone else does, it helps to rank them by how much genuine buying intent sits behind the action that triggers them.
- Weak signal, high volume: Browse abandonment. Someone looked at a product page. Could mean anything.
- Medium signal, mixed intent: Cart abandonment. Real intent, tangled up with friction, price sensitivity, and habit.
- Strong signal, self-selected: Wishlist add. A deliberate, low-friction action that exists purely to say "I want this."
- Strong signal, reactivated: Back-in-stock and price-drop alerts. The same wishlist intent, triggered a second time at the exact moment the barrier to buying disappears.
- Strongest signal, proven: Post-purchase and win-back flows, built on customers who've already converted once.
Build from the bottom of that list up, or from the top down for volume, but don't skip the middle just because it's less common in other people's playbooks. The wishlist tier is where a lot of stores are leaving quiet, compounding revenue on the table.
Setting Up Wishlist Triggers With Klaviyo in Practice
This doesn't mean you rip out your cart abandonment flow. It means you stop treating wishlist triggers as an eventual nice-to-have and start treating them as core infrastructure, built and tested with the same care as your top-of-funnel flows. This is what real lifecycle marketing looks like in practice, not a bigger send list, but flows that follow the customer's own signals as their relationship with your store develops.
With Flits Wishlist, every wishlist action becomes a usable event: product added, price changed, item restocked. Connected to Klaviyo, these events flow in as custom triggers you can build flows around the same way you would for any standard automation, no custom development required. For the full setup walkthrough, see Flits'
Klaviyo integration overview.
A few things worth getting right from the start.
- Segment by product value: A price drop on a $20 item and a $200 item call for different tones. The cheaper item can lean casual. The expensive one deserves a bit more restraint and a clear reason to act now.
- Don't stack triggers on the same product: If a customer gets a back-in-stock email and a price-drop email for the same item within the hour, that reads as sloppy rather than attentive. Set a priority rule so only one fires per product per customer in a given window.
- Write it like a heads-up, not a campaign: "The jacket you wanted is back" works because it sounds like something a person would say. "Check out our latest arrivals" doesn't, because it ignores the fact that the customer already told you exactly what they want.
- Review performance by tier, not just by flow: If you've built the intent ladder above, check whether your strong-signal flows are actually outperforming your weak-signal ones. If they're not, something in the copy or timing is working against the intent instead of with it.
The Honest Caveat
None of this means wishlist triggers alone will outperform a full-funnel setup. Cart abandonment still captures volume that wishlist triggers never will; plenty of buyers skip the wishlist step entirely and go straight to cart. The argument isn't "replace cart abandonment." It's "stop assuming build order should follow popularity instead of signal strength." For most stores, that means moving wishlist-based triggers up several places in the roadmap, not building them last.
The order you build triggers in isn't neutral. It's usually inherited from whatever your email platform put in front of you first, not from what actually reflects buying intent in your store. Cart abandonment will always have a place in the lineup. It just doesn't deserve to be first by default, not when there's a quieter, cleaner signal sitting in your wishlist data, waiting to be acted on.
Frequently Asked Questions
1. What are automated triggers in email marketing?
They're emails that send automatically based on a specific customer action, like adding a product to a wishlist, abandoning a cart, or a price drop on a saved item, rather than being sent manually on a set schedule.
2. Should I set up cart abandonment or wishlist triggers first?
Most stores default to cart abandonment because it's the first template every platform offers. But wishlist actions are a cleaner intent signal, since they aren't tangled up with checkout friction. If you're building from scratch, wishlist-based triggers deserve a spot much earlier in the roadmap than most playbooks suggest.
3. How do I set up back-in-stock emails on Shopify?
Using a wishlist app like Flits connected to your email platform, you can trigger a back-in-stock email automatically whenever a wishlisted product's inventory is replenished, no manual list-building required.
4. Can I use Klaviyo with Flits Wishlist for automated triggers?
Yes. Flits sends wishlist events directly into Klaviyo, so you can build back-in-stock, price-drop, and wishlist-reminder flows without any custom development.
