Segmentation based on data Klaviyo doesn't have
Customer segments built from support tickets, loyalty tier, or purchase history across both online and in-store sales, synced into your email platform so campaigns can actually target on it.
Shopify has basic built-in abandoned checkout emails and integrates with marketing platforms like Klaviyo and Mailchimp for the rest: welcome series, post-purchase flows, win-back campaigns. The native tools cover the obvious triggers. Where it gets harder is segmentation that depends on data outside Shopify, and getting marketing automation to trigger more than just an email.
Shopify's built-in abandoned checkout recovery sends a follow-up email automatically when someone adds items to a cart and leaves without completing checkout, no app required. It's basic: a fixed delay, a fairly generic template, limited personalization. For anything past that, most stores connect a dedicated email platform, Klaviyo is the most common pairing with Shopify specifically, which pulls in order and customer data to build real flows: welcome series, browse abandonment (different from cart abandonment, triggered by viewing without adding to cart), post-purchase follow-ups, and win-back campaigns for lapsed customers.
These platforms sync with Shopify through an app connection, not a custom build, so the basic version of email automation on Shopify is usually an app-installation problem, not an engineering one.
The gap shows up when a flow needs to react to something Klaviyo or Mailchimp doesn't natively know about: a customer's support history, their loyalty tier calculated from lifetime value across online and in-store purchases, inventory that's about to run out of a product they've been eyeing. Marketing platforms are good at email and SMS; they're not good at pulling in data that lives somewhere else in your business and isn't already synced to Shopify.
That's the layer that usually needs custom work: getting the right data into the marketing platform in the first place, or triggering an action outside of email entirely, tagging a customer, flagging an account for sales follow-up, based on behavior the marketing tool noticed first.
Customer segments built from support tickets, loyalty tier, or purchase history across both online and in-store sales, synced into your email platform so campaigns can actually target on it.
A high-value customer's cart abandonment doesn't just trigger an email, it also flags the account for a sales follow-up, because the dollar amount justifies more than an automated message.
Tell us what data isn't making it into your email flows and where it actually lives. We'll map a path to get it there.
Tell us what's missing from your current flows, loyalty history, support context, in-store purchases. Marketing automation is one workflow among many; if the real gap sits somewhere else in your business, that's worth fixing too.
Let's talk →Yes, a basic version. Shopify automatically sends a follow-up email when someone abandons checkout, with a fixed delay and limited customization. Most stores that want more control, multiple follow-ups, SMS, deeper personalization, connect a dedicated platform like Klaviyo instead.
Klaviyo is the most common pairing specifically because of how deeply it integrates with Shopify's order and customer data. Mailchimp and others work too. The right choice usually comes down to how much segmentation and flow complexity you actually need beyond basic email sends.
Not on its own. Platforms like Klaviyo see whatever Shopify shares with them, orders, customers, product views. Anything that lives elsewhere, support history, a loyalty calculation, in-person purchase data from a separate system, has to be synced in before a flow can use it.
Cart abandonment triggers when someone adds an item to their cart and leaves without buying. Browse abandonment triggers on viewing a product without adding it to cart at all, a lighter-intent signal that usually gets a different, less aggressive follow-up.