A welcome email introduces a brand to a new subscriber and sets up the second order. The examples worth copying share one structure: a clear reason to be here, proof that is specific, one next step, and no discount in the first message. What should change per shopper is the offer, the timing, and the channel.
Every roundup of welcome email examples is a gallery of finished work. You see the layout, the headline, the illustration. What you cannot see is the list it was written for, the margin it was allowed to spend, or whether it actually earned a second order. So brands copy the visible part, which is the design, and inherit none of the reasoning.
That is the quiet problem with examples as a genre. A published example is a portrait of an average subscriber, and no one on your list is the average subscriber. The shopper who found you through a founder interview and the shopper who clicked a discount ad both get the same first impression, written for neither of them.
The useful thing to copy is not the email. It is the set of questions the email answers.
Who are you? One sentence, in the language a customer would use, not the language of a brand deck. If the sentence would fit any other store in your category, it is not doing any work.
Why should I believe you? Specific beats superlative. A material, a process, a guarantee, a number you can stand behind. Vague authority reads as filler and gets skimmed.
What do I do now? One action. A welcome email with four calls to action has none. The most common mistake is offering a discount here, which we cover below.
What happens next? Tell people what they subscribed to and how often you will send. It costs one line and it measurably reduces the unsubscribes you would otherwise collect in week two.
The founder note. Works when the product decision is the story: why this material, why this formulation, why the obvious cheaper choice was rejected. Fits considered purchases where the shopper is still deciding whether to trust you.
The fit or usage guide. Works for apparel, footwear, skincare, anything where the biggest barrier to a first order is uncertainty about whether it will suit them. It removes a real objection instead of applying pressure.
The best-sellers email. Works for wide catalogues where the shopper does not yet know what they want. Social proof does the narrowing that a menu cannot.
The what-happens-next note. Works after a checkout-time signup, where the shopper has already bought and the job is to set expectations rather than to sell. Pair it with your post-purchase sequence so the two do not contradict each other.
The single-question email. Asks one thing, such as what brought them in, and uses the answer to shape everything after. It gathers the information a static series has to guess at.
A discount in the first message is the most copied pattern in welcome email examples and the one that costs the most. It buys purchases you would often have made anyway, and it teaches the list a rule: something better is always one email away. That rule then applies to every campaign you send for the rest of the relationship.
The defensible version is conditional. A shopper who has read three messages, viewed a product twice and not bought is a different case from one who subscribed ninety seconds ago, and the discount is worth spending on the first and wasted on the second. That is a judgment about a person, not a step in a sequence, which is exactly what a flow cannot express.
A welcome flow encodes decisions in advance. Someone chooses the delay, the branch conditions and the offer once, and every shopper is then routed through that judgment for as long as the flow exists. It is a reasonable design when a human has to define the logic up front.
Relvino replaces the encoding step. The Large Retail Model is trained on 7M+ data points across 10K+ retailers, so a new store starts with priors about what actually earns a second order in its category rather than learning it from scratch. For each new subscriber the system decides the offer, the timing and the channel in about 80ms, inside guardrails you set: margin floors, quiet hours, channel permissions, brand voice.
The practical difference is what you maintain. A flow library has to be re-audited every time a price, a product line or a shipping rule changes. Guardrails do not. Because the decision is per shopper rather than per segment, the result is also fewer sends: 80% less spam and lower send costs, while brands replacing an incumbent see 2–6× ROI in 30 days and up to 10× revenue uplift YoY.
Open the message a new subscriber receives right now and check three things. Does it answer the four questions above, in that order? Does it open with a discount that you have never tested withholding? And does every subscriber receive the identical message regardless of how they arrived?
If the answer to the last one is yes, that is not a copywriting problem and no new example will fix it. It is a decision that was made once, for an average shopper, and has been repeating ever since.
Related reading: abandoned cart email subject lines covers the same question at the recovery stage, abandoned cart email templates covers what a template genuinely costs to keep, and Klaviyo vs Relvino is the head-to-head if you are weighing the switch. New to the category? Start with what Klaviyo is.
The ones that work share a structure rather than a style: a single sentence on why the brand exists, proof that is specific rather than boastful, one next step, and no discount in the first message. Good examples include a founder note that explains the product decision behind the brand, a fit or sizing guide for apparel, a best-sellers email for a wide catalogue, and a simple what-happens-next note after signup. What makes them good is that each answers the question the subscriber actually has at that moment.
Answer three questions in order: who are you, why should I care, and what should I do next. Keep it to one idea and one call to action. Send it within minutes of signup, while the shopper still remembers the form they filled in. Avoid opening with a discount, because the discount becomes the reason they subscribed and every later message has to compete with it.
Three is the common answer and a reasonable default: an introduction, a proof or education message, and a nudge toward a first or second purchase. But the number is the wrong variable to optimize. A shopper who buys on the first message should not receive the next two, and a shopper who has read every message without buying may need something different rather than something more.
Usually not in the first message. A discount offered before the shopper has any reason to want the product buys a purchase you might have made anyway, and it trains the list to wait for the next one. It works better as a later, conditional move for shoppers who have shown interest and stalled, which is a decision that depends on the individual rather than on the position in a sequence.
Within a few minutes of signup for most brands. The subscriber is still on the site or still holding the phone, and the intent that made them subscribe has not decayed yet. Delaying to batch sends costs more than it saves. The exception is a shopper who signed up during checkout, who is better served by their order confirmation first.
Yes, as the strongest flow builder available. If you want to design a welcome series yourself and maintain it, Klaviyo does that well. The question this comparison raises is different: whether a human should be choosing the timing and the offer in advance at all, when the right answer differs per shopper and the flow can only ever hold the average.
The technical migration takes about 30 minutes, covering DNS, the Shopify app, and channel setup. Revenue follows a 14-day pilot rather than the same day, and brands replacing an incumbent see 2–6× ROI in the first 30 days.