Shopify Messaging / New feature

Smart delivery
A delivery feature where Shopify decides which messages are worth sending

Automatically prioritizes which messages to send now and which to hold back. A built-in delivery setting in the Shopify Messaging app that aims to optimize conversion while curbing unsubscribes and promotional costs.

On this page
  1. What actually changes (understand it in 30 seconds)
  2. How it works: the flow of how messages get filtered
  3. Example: what happens to customers who don't open messages
  4. Traditional approach vs. smart delivery
  5. What is "documented" and what is "not documented"
  6. How to use it (3 steps)
  7. 5 points developers should keep in mind
  8. 3 use cases you can apply to your operations
  9. A one-line summary you can use in a pitch

1What actually changes

Smart delivery smart delivery has been added to Shopify Messaging.
It intelligently prioritizes which messages to sendand which to hold back , and simultaneously aims forconversion optimization, fewer unsubscribes, and lower promotional costs.
ALL SEND

Traditional: send to everyone uniformly

Messages were sent in bulk to all customers enrolled in a campaign's audience, regardless of engagement.

Smart delivery: target those likely to respond

Concentrates sending on customers who are more likely to engage. Those who respond little are dropped from the next campaign, preventing churn caused by over-messaging.

2How it works: the flow of how messages get filtered

Campaign Send audience list Create delivery Engagement References open and response history Past behavior smart delivery Prioritization Deciding whether to send or hold back Send Focus on responsive customers → optimize CVR Hold back Reduce unsubscribes → lower promotion costs
The key is not toincrease how much you send—it's tochoose who you send to. By trimming sends to customers unlikely to respond, the goal is to raise the quality of the open-rate and response-rate base, and in turn lower unsubscribes and wasted promotion costs.

3Example: what happens to customers who don't open

Turning the example given officially into a diagram, the behavior looks like this.

Recent emails left unopened ✕ ✕ ✕ smart delivery makes a judgment Assessed as "low engagement" May be excluded from the next campaign → Shift sends toward customers likely to respond
The official wording is "may be filtered." It doesn't assert that they will definitely be excluded—rather, it's phrased as a possibility of being dropped from the next send as a result of prioritization. Details on the judgment thresholds and logic arenot provided.

4Traditional vs. smart delivery comparison

ItemTraditional deliverySmart delivery (smart delivery)
Send target Uniform Sent to everyone on the target list Selective Prioritizes customers likely to respond
Low-engagement customers Sent as-is May be excluded from the next campaign
Main goal Maximize reach Optimize CVR + Reduce unsubscribes and costs
Delivery format — Part of the Shopify Messaging appBuilt-in delivery settings
Detailed decision logic — Not documented See the Help Center

5What is documented and what is not

Documented

What we know

Smart delivery has been added to Shopify Messaging
It intelligently prioritizes which messages to send and which to hold back
The goal is to optimize CVR, reduce opt-outs, and lower promotional costs
Customers who don't open messages may be excluded from the next campaign
It is a built-in delivery setting in the Shopify Messaging app

Not documented

What this release note does not cover

The specifics of the decision logic / thresholds (e.g., how many unopened messages before exclusion)
The scope of channels covered (whether channels other than email are included)
Supported plans and regions
Whether it can be turned on/off, and its default state
Any API or automation options for configuration
It only directs you to the Shopify Help Center for details.

This article only organizes what's within the scope of the release announcement. Before deciding whether to adopt it, verify the behavior and settings in the actual Shopify admin and Help Center.

6How to use it (3 steps)

1

Open the Shopify Messaging app

Go to the Messaging app you use to run your delivery.

2

Check smart delivery in your delivery settings

It is provided as a built-in delivery setting.

3

Check the Help Center for details

The specific behavior and conditions are said to be documented in the Shopify Help Center.

The exact steps (the location of the toggle, how to turn it on/off) arenot documentedin the release note. The above is a general verification procedure based on the statement that it "exists as a built-in setting"; confirm the actual names and placement in the Help Center and admin.

75 points engineers should keep in mind

1. Optimizing the recipients, not the volume

This isn't a feature for "sending more"—it narrows down "who to send to." You need to shift your thinking toward a design evaluated by response rate, CVR, and opt-out rate rather than a reach-count KPI.

2. The input is engagement history

The explicit example is "whether recent promotional emails were opened." Because the decision relies on past response signals, the treatment of new or dormant customers with little history requires separate validation.

may ?

3. The behavior is "may be excluded" = probabilistic

The official wording is "may be filtered." It's the result of prioritization, not a definitive exclusion. Don't assume that a message wasn't delivered "solely because of this setting."

BUILT-IN

4. A built-in app feature

Rather than an external tool or extra implementation, it's a delivery setting built into the Shopify Messaging app. The upside is you can use it without building a separate flow, but the downside is that the logic is a black box.

Draft Send

5. Decide your measurement plan first

Whether this feature is a win can only be judged by before/after comparisons of "unsubscribe rate," "response rate," "promotional cost (cost per send × number of sends)," and "final CVR." The finer details of the spec (thresholds, target channels) arenot documentedso when adopting it, take a baseline period before turning it ON, and lock in your measurement KPIs in advance.

8Three use cases you can apply to your work

USE CASE 1

Curbing over-sending for stores seeing more unsubscribes

Problem
Increasing campaign frequency has driven up unsubscribes, and the list as a whole is thinning out.
Action
Enable smart delivery to automatically drop low-engagement customers from the next send, focusing delivery on responsive segments.
Result
Curbs unsubscribes and keeps the list healthy. Fewer sends also lower promotional costs.
Technical notes
Compare "unsubscribe rate" and "active subscriber count" before and after adoption. Since the decision logic is not documented, evaluate using before/after data from at least several campaigns.
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USE CASE 2

Optimizing delivery cost on pay-per-send channels

Problem
On promotional sends where cost grows with the number of messages, sending uniformly to unresponsive recipients keeps hurting cost-effectiveness.
Action
Use smart delivery to thin out recipients unlikely to respond and concentrate sends on engaged segments.
Result
Lower promotional costs from fewer sends, and improved response rates from a higher-quality audience.
Technical notes
Compare "number of sends × unit price" and "cost per response (CPA)" with ON/OFF. Since the scope of target channels is not documented, first check the applicable range on the actual screen.
Response rate
USE CASE 3

Running effectiveness tests on segmented delivery with "zero implementation"

Problem
You want to test "how do results change if I narrow to only responsive segments," but building your own segment extraction and exclusion logic takes a lot of effort.
Action
Turn ON the built-in smart delivery, run it for a set period, and compare against your prior data from when it was OFF (uniform sends to everyone).
Result
You get comparison data for "uniform sending vs. automatic selection" with no extra implementation, which you can repurpose as evidence in proposal materials.
Technical notes
Center measurement on unsubscribe rate, open/response rate, and CVR. Secure a sufficient testing period to absorb seasonal factors. Since the details of the decision logic are not documented, base your conclusions strictly on outcome metrics.

9A one-line summary you can use in proposals

"smart delivery, a built-in feature of Shopify Messaging, is aselective delivery that narrows sends to customers likely to respond and drops unresponsive recipients from the next sendapproach.
Its aim is to optimize CVR, curb unsubscribes, and reduce promotional costs."
Since the details of the scoring logic are private, the proper way to adopt it is to evaluate it using before/after outcome metrics (opt-out rate, response rate, cost, CVR)."