Mailchimp Alternative for Shopify: Start With Four Numbers

None of these needs a new tool to calculate. All four come out of your Shopify admin and a spreadsheet, and together they take about an hour.

1. Reachable share, per channel. Take the customers who ordered in the last twelve months. Count how many have a deliverable email address, and how many have a phone number you are permitted to message. Two percentages. The gap between them is the part of your customer base that no email tool can reach for you.
2. Share of revenue from automated messages. Split last quarter's marketing-attributed revenue into what was sent automatically because something happened, and what was sent because a person decided to send it. If the automated share is small, your problem is that nothing is running - not that the wrong thing is running it.
3. Revenue attributable to one named message. Not to a channel. To one flow, or one campaign, by name. If your current reporting cannot answer "which message earned this", it will not be able to judge the replacement either.
4. Repeat-purchase rate. The share of customers who have ordered more than once. It decides whether lifecycle automation is worth building at all, and it is the number most stores have never written down.

Shopify's segment editor covers the first and the fourth without any help: you can filter customers by number of orders and by which contact details they have, and read the count off the editor (Shopify Help Center, 2026). If the fourth number is new to you, our walk-through of the two retention numbers worth tracking explains how to read it.

The numbers sort you into one of three situations, and only one of them is answered by a new email tool.

• The reach gap is the biggest figure. A large share of your customers has a phone number and no engagement by email. Switching email tools changes nothing here, because the people you are missing are not reading email at all. The fix is a second channel, not a replacement.
• Reach is fine, but the automated share is small. You have the addresses and people do open things - there is simply no programme running against them. Build the flows you are missing before you move a list; a migration will not write them for you.
• Attribution is the blank column. You cannot yet say which message earned what. Fix that first, or you will judge the new tool exactly the way you judged the old one: by feel, six months late.

Only a fourth case is a genuine replacement search - the tool is wrong for how your team works day to day, and no amount of measurement fixes that. If you are weighing a swap against an addition, the same question applied to a different stack is worked through in our piece on evaluating a Klaviyo alternative.

Once you know which problem you have, the shortlist criteria stop being about feature counts and start being about your own data. Four requirements, in the order that the mistake is expensive to undo.

• Read order history, not just contact details. A tool that imports names and addresses can send a newsletter. A tool that reads orders, products and timing can send the right message to the right customer without you building the segment by hand.
• Trigger on events. Ask what can start a message: an abandoned checkout, a completed purchase, an inbound chat, a webhook from your own systems. In Keaz those are the documented starting points, and the Shopify integration is what supplies them.
• Store consent per contact, at a level you can filter on. A single yes/no flag is not a record you can defend later, and it is not granular enough to hold back a marketing send from someone who only agreed to order updates.
• Report per message, not per channel. Covered in the next section, because it is the one criterion most shortlists skip and every budget review asks about.

Consent does not transfer between channels, whichever tool you choose. Meta requires an opt-in before a business messages someone on WhatsApp, and that opt-in has to name the business (Meta, retrieved 2026-09-17). An email list is not a WhatsApp list, and no import turns it into one. That is also why reach is the first number and not the fourth. How the same criteria look from our side is laid out in the features overview.

Most tools will show you a channel total. A channel total cannot separate the one message that pays for the programme from the four that dilute it, so it cannot settle a comparison between two tools either.

The mechanism worth insisting on is attribution per message. In Keaz that runs on a unique discount code per flow: you create the code inside the flow, it is created in Shopify automatically, and it goes into the message as a variable. When a customer redeems it, the revenue lands on that one flow. The same works per newsletter.

Set the test up before you sign anything. Pick two messages that go out in the same week, give each its own attribution, and compare them against each other after 30 days. If the only view a vendor can show you is the channel, you are buying a sending tool rather than a marketing one. The same discipline applies to any forecast you are shown - ours is documented end to end so you can check the assumptions rather than take the number.

• Shortlisting before measuring. Demos are persuasive and your four numbers are not. Take the numbers into the demo, not the other way round.
• Treating a reach problem as a tool problem. If a third of your customers never opens anything, a new email tool inherits that third unchanged. Only a different channel moves it.
• Migrating the list first. Moving an email programme is a week of work and a month of small breakages. Testing an addition costs a quarter and tells you more.
• Treating email consent as consent for another channel. It is not, and the record you keep today is the one you will be asked for later. Collect the opt-in explicitly and store the level per contact.
• Sending to everyone on day one. Sending limits start low and rise with quality. A large first send is the fastest route to a quality problem that costs weeks to unwind.
• Comparing on feature counts. Every tool in this category can send a message. The differences are in what triggers it, who you may legally reach, and what you can prove afterwards.