Klaviyo Alternative: What to Evaluate Before You Switch

Three complaints send stores to this search, and only one of them is about an email tool.

• Campaigns feel invisible - you send, and nothing measurable happens. That is usually an attribution problem, not a platform problem.
• A large part of your customer base never opens anything. That is a reach problem, and no email tool solves it, because the people in question are not reading email.
• The tool itself is genuinely wrong for you - the segmentation, the editor, the way your team works in it. That one is a real alternative search.

Only the third is answered by switching. The first two are answered by adding a channel that reaches people where they already reply, and by measuring it properly. If you are somewhere between, our walk-through of how to run Klaviyo and WhatsApp together is the cheaper experiment: it costs a quarter of testing rather than a migration.

The division of labour is stable enough to plan around, and it is the thing most comparison tables leave out.

• Email carries breadth and depth: catalogue browsing, editorial, receipts, long-horizon segmentation over years of order history, and it stays cheap at volume.
• WhatsApp carries urgency: an abandoned checkout, a shipping update, a reorder that is due, a customer who has gone quiet. Short messages, read in minutes, answered in the same thread.

The constraint that shapes everything else is consent. Meta requires an opt-in before a business messages someone, and that opt-in has to name the business (Meta, retrieved 2026-08-24). You cannot import an email list into WhatsApp and start sending, which is precisely why reach - not features - is the first number to check when you compare tools.

Our numbers comparison of WhatsApp versus email marketing works through how the two perform side by side. The short version: WhatsApp complements email. Treating it as a replacement is how stores end up with two half-programmes instead of one good one.

Ask these in a demo, in this order. They are ordered by how expensive the mistake is to undo.

1. How does the tool collect phone numbers, and what consent record does it keep? Ask to see the consent level stored per contact, and whether you can set a minimum level as a filter on a marketing campaign. If consent is a single yes/no flag, you will not be able to prove anything later.
2. What can trigger a message? Look for shop events such as an abandoned checkout or a completed purchase, an inbound chat, a webhook from your own systems, and an engine that picks the send time per contact. A tool that can only broadcast is a newsletter tool wearing a WhatsApp badge.
3. Where does revenue land - on a named flow, or on WhatsApp as a whole? This is the question that decides whether the channel survives its first budget review.
4. What happens to your email programme? Ask whether the tool can read your existing email segments. Keaz, for instance, connects to Klaviyo so those segments become selectable audiences for WhatsApp newsletters and flows - one list, targeted twice, rather than two lists maintained in parallel.
5. What does month two look like? A new sender starts at 250 unique recipients per rolling 24-hour period and scales up from there as quality holds (Meta, retrieved 2026-09-01). Ask how the tool paces sends against that, and what it does when the limit is reached.

Notice what is not on the list: feature counts, channel counts and logo walls. Those compare products. These five compare products against your job. If you want to see how the same questions land on the Keaz side, the features overview is organised the same way.

Most tools will show you a channel total. A channel total tells you nothing you can act on, because it cannot distinguish the flow that pays for the programme from the four that dilute it.

The mechanism worth insisting on is per-flow attribution. 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 is attributed to that one flow. The same works per newsletter, and the dashboard shows total shop revenue alongside the share attributed to Keaz.

Whatever tool you choose, the test is the same. Ask the vendor to show you a report where two flows sent in the same week are compared against each other on revenue. If the only available view is the channel, you are buying a sending tool, not a marketing one.

Consolidation is a legitimate answer, and it is worth saying so plainly rather than pretending every store needs a stack. It tends to make sense when the team is one person, when email volume is low enough that the fixed cost outweighs the benefit, or when the email programme is really only transactional.

What you give up is depth on the side you drop. Run the test before you commit: keep both for one quarter, give every flow and every campaign its own attribution, and then decide on the two revenue columns rather than on a feeling. A quarter of running both is cheaper than a migration you reverse in month four.

If the number you are missing is how much WhatsApp could be worth on your own data, that is measurable before you buy anything.

• Migrating the list before testing the channel. Moving an email programme is a week of work and a month of small breakages. Testing the second channel costs a quarter and tells you more.
• Treating email consent as WhatsApp consent. It is not, and the record you keep now is the record you will be asked for later. Collect the opt-in explicitly and store the level per contact.
• One discount code across every flow. Attribution works by matching the redeemed code to the message that sent it. Share a code between two flows and neither number means anything.
• Comparing on feature counts. Every tool in this category can send a message. The differences are in what triggers it, who it can legally reach and what you can prove afterwards.
• Sending to the whole list on day one. Sending limits start low and rise with quality. A large first send is the fastest way to a quality problem that costs weeks to recover from.