# Customer.io vs Klaviyo Source: https://wraps.dev/versus/customer-io-vs-klaviyo Both bill per profile and both automate lifecycle messaging. One was built for product teams reasoning about behaviour, the other for stores reasoning about revenue. The data model is the fork in the road. Two platforms with almost identical pricing mechanics and completely different worldviews. Customer.io models a person as a stream of events your product emitted. Klaviyo models a person as a shopper with orders, a catalogue and a lifetime value. Both bill you per profile, so the cost curves look similar on a spreadsheet, and the experience of using them diverges within the first hour. Pick by data model, not by feature checklist, because the data model is what you will be fighting or leaning on for years. ## At a glance |   | Customer.io | Klaviyo | | --- | --- | --- | | What it is | Behavioral messaging and lifecycle automation | Ecommerce marketing automation | | Published pricing | Essentials $100/mo for 5,000 profiles, then $0.009 per additional profile — roughly $145 at 10K, $505 at 50K, and $955 at 100K. Premium starts at $1,000/mo. | $30/mo at 1,000 profiles, $100 at 5,000, $150 at 10,000, $720 at 50,000, and $1,380 at 100,000 — an effective $0.014–0.030 per profile per month. | | Best for | Behavioral lifecycle messaging a marketing team owns day to day. | Ecommerce, especially Shopify, where per-campaign revenue attribution is the metric. | | Watch out for | You pay per profile whether or not you ever message them, so signups you never email still raise the bill. | Bills all active profiles since February 2025 and auto-upgrades without ever auto-downgrading. Volume is capped at ten times your profile count and sends halt past it. | Prices are each vendor's published list prices, verified August 2026. Check the vendor's own page before you sign anything. ## Where they actually differ ### The customer each was designed around Customer.io Customer.io was built for product and growth teams at software companies, and it assumes your interesting signals come from your own application: a feature used, a limit hit, an invitation left unaccepted. Nothing about it presumes a purchase. That generality is the reason it fits a SaaS product, a marketplace or a fintech, and the reason it gives you less for free than a vertical tool would. Klaviyo Klaviyo was built for ecommerce, and it shows in every default. The onboarding asks about your store. The reports lead with revenue. The segment builder speaks in orders and products. For a store that is a gift, because a large amount of domain knowledge is already encoded. For anything that is not a store, it is a vocabulary you spend your time translating into. ### How a journey is authored Customer.io Customer.io's workflow canvas is the most programmable in this comparison: branches, delays, attribute updates, webhooks out to your own services, and Liquid templating with the full profile and event payload available. An engineer can build things in it that no marketing tool is supposed to be able to do, which is both its appeal and the reason it needs someone technical to own it. Klaviyo Klaviyo's flow builder is aimed squarely at a marketer working without engineering help, and it is very good at that. Triggers, conditional splits, timing, and a large library of pre-built commerce flows. The ceiling is lower than Customer.io's and you hit it later than you expect, usually at the point you want a flow to call an external service and act on the reply. ### What a profile is made of Customer.io In Customer.io a profile is attributes plus an event history you defined. You decide what an event is, what it carries, and how long it matters. That freedom means the quality of your segmentation is exactly as good as the quality of your event instrumentation, so the real implementation cost of Customer.io is usually in your own codebase rather than in the tool. Klaviyo In Klaviyo a profile arrives pre-populated with commerce semantics from the storefront integration — orders, values, products, timestamps — without anyone writing tracking code. Predictive fields sit on top of that. You get sophisticated segmentation on day two instead of month two, at the cost of segmenting on their concepts rather than yours. ### What the profile count actually costs Customer.io Customer.io bills a plan floor that includes a block of profiles and then a per-profile rate beyond it, and it counts people whether or not you ever message them. A free tier with a large signup volume and low conversion is the pathological case: you pay for every account that was created, including the ones that never opened the product. Klaviyo Klaviyo bills active profiles in bands, has included unsubscribed profiles since February 2025, and auto-upgrades across band boundaries without ever auto-downgrading. Sending is unlimited within ten times your profile count. The structures rhyme, but Klaviyo's ratchets upward on its own and Customer.io's does not, which matters more over two years than either headline rate. ### What counts as the channel working Customer.io Customer.io reports on the messages and the journeys — delivery, engagement, conversion against goals you define. Tying that to revenue is your job, usually via your own analytics stack, and the reason it is your job is that Customer.io has no opinion about what your revenue event looks like. Teams with a warehouse find this natural. Teams without one find it thin. Klaviyo Klaviyo answers the revenue question by default, per flow and per campaign, with a configurable attribution window. It is the reason marketing leaders like it and the reason a sceptic should read it carefully, because last-touch email attribution flatters email. As a management tool it is excellent. As a measurement of incrementality it is not what it appears to be. ### Channels other than email Customer.io Customer.io handles push, in-app messages, SMS and webhooks as first-class parts of the same workflow, which for a product team is the important half: an in-app nudge and an email are the same campaign with different delivery. The webhook action in particular means a journey can drive your own systems, not just messaging. Klaviyo Klaviyo covers email, SMS and push with the same commerce framing throughout, and its SMS product is mature and well integrated with campaign attribution. What it does not do is treat your application as a destination. There is no equivalent of a journey step that calls your service and branches on the response. ### The price floor, and who it excludes Customer.io Customer.io's entry plan has a monthly floor that puts it out of reach of a pre-revenue side project, and its next tier is an order of magnitude above that. It is priced for a funded company with a growth function, and it does not pretend otherwise. Klaviyo Klaviyo starts far lower, at a band a small store can afford on day one, which is why it dominates the small-store market. The cost of that accessibility is the ratchet: the price you signed up at is not the price you will be paying in eighteen months, and the increases arrive automatically rather than as a renewal conversation. ## Pros and cons, side by side ### Customer.io Strengths - A journey can call your own services mid-flow and branch on the reply, which makes messaging something that participates in the product rather than only narrating it afterwards. - Accounts and relationships are first-class, so a message can address every seat on a workspace when the workspace does something — an idea a shopper-shaped model cannot express at all. - The meter tracks profiles in both directions, so pruning a dormant population actually lowers the invoice instead of requiring somebody to notice and then ask. - There is somewhere to exercise a journey that is not production, so a badly scoped trigger is found by a colleague rather than by forty thousand customers at once. Trade-offs - The entry plan carries a monthly floor priced for a funded company, and the tier above it is an order of magnitude beyond that again. - Segmentation is exactly as good as your event instrumentation, so the real implementation cost lands on an engineering backlog rather than inside the tool you are buying. - It holds no opinion about revenue, so proving the channel paid for itself needs a warehouse and somebody who keeps the join working. - Without a named owner it decays into half-finished journeys nobody will touch, and nothing in the product does anything to prevent that happening. ### Klaviyo Strengths - Commerce semantics arrive pre-populated from the storefront, so genuinely sophisticated segmentation exists on the second day rather than after a quarter of instrumentation work. - A marketer is self-sufficient inside the first week — flows, templates, segments and the revenue report, none of them with a ticket standing in front of it. - Catalogue-aware blocks put the actual products a person looked at inside the message, which is a capability with no counterpart on the other side of this pair. - It starts at a band a business with its first thousand customers can pay, which is the whole reason it became the default answer for small stores. Trade-offs - It bills every active profile, people who unsubscribed included, and the plan steps up on its own while never once stepping back down. - Sending is capped at a multiple of the profile count and halts rather than overcharging, which is a hard stop arriving in the middle of a promotional calendar. - A recent-contact window can remove recipients from a send without announcing it, so the number that went out is not reliably the number the segment contained. - Everything valuable is downstream of orders, so a business that is not a store pays specialist prices for what is left once the specialism is subtracted. ## Pick in thirty seconds ### Choose Customer.io if - Your product emits the behaviour that matters, and a journey needs to branch on your own events rather than on orders. - A journey needs to call your services mid-flow and act on the response, which is a capability only one of these two has. - Engineering will own the messaging system, and you want a tool that rewards that rather than working around it. - You are not a store, and translating your domain into carts and catalogues would be a permanent tax. ### Choose Klaviyo if - You run a store and want the commerce data model, predictive fields and pre-built flows without instrumenting anything. - A marketer needs to ship campaigns without waiting on engineering, from day one rather than after an integration project. - Revenue attribution per flow has to be the default report, because that is the number your budget is argued with. - You are starting small and need a price band that a business with its first thousand customers can actually pay. ## What actually moves when you switch In roughly the order you would do it. The expensive parts of an email migration are never the send call. 1. Reconcile identity before anything else, because the two disagree about what a person is. One pins an identifier when the workspace is created and lives with that choice; the other carries an address, a phone number and an external id on a single profile and merges records when it concludes two of them are the same human. Importing into the merging model with inconsistent external ids produces duplicates that quietly split somebody's history in half, and importing out of it means electing one of the three to be the key forever. 2. Snapshot who is inside each segment on the day you export, because a dynamic segment is a rule rather than a membership. The definition travels as a sentence somebody retypes; the population does not travel at all, and the destination recomputes it against whatever history it holds, which on the first day is close to none. Without that snapshot there is no way to tell later whether a segment shrank because the rule was transcribed wrongly or because the events have not arrived yet. 3. Establish whether anything you send is triggered by something happening to an organisation rather than to an individual. A model with accounts and relationships can address every seat on a workspace the moment that workspace's trial expires; a model built around a shopper cannot, because a shopper belongs to nothing. Reproducing it means copying the organisation's state onto every profile and keeping the copies in step, which works and is a synchronisation job with an owner. 4. Find out whether the destination is quietly dropping recipients on your behalf. One of these two skips anybody already messaged inside a recent window unless the send explicitly overrides it, which is a sensible default and a baffling one to inherit: a campaign reports far fewer recipients than its segment contained and nothing in the interface volunteers why. Decide what that window should be, write the number somewhere findable, and check it before anybody investigates a delivery problem that is a setting. 5. Model the bill as a two-year line rather than as a point, because both meters count people and only one of them ratchets. A plan that steps up on its own when a threshold is crossed and never steps back down turns one signup spike into a permanent cost; a per-profile rate above an allowance follows the number in both directions. Whichever way you travel, name who is responsible for pruning and put a date against it, because neither product will ever raise the subject. 6. Split consent by channel before importing anything, because one subscribed flag flattens two distinct permissions. Consent to receive text messages is a separate legal state from consent to receive email, collected differently and evidenced differently, and a platform that models them apart will refuse traffic that a platform which merged them was cheerfully sending. Carry the timestamp and the source across for each channel; if you cannot, the honest position is that the second channel restarts from an empty list. 7. Check where the workspace itself lives if anybody has ever asked that question, because on one side it is chosen at creation and determines the hostname you integrate against. A workspace created in the wrong place is not a toggle somebody flips; it is a second workspace and a full re-import. Settle the requirement before the trial account quietly becomes the production account, which is how nearly all of these get decided in practice. 8. Write down what should happen to somebody who becomes ineligible halfway through a sequence, because the two evaluate that differently. A condition checked only at the trigger and a condition re-checked at every step produce entirely different experiences for the customer who converts on day two of a five-day nudge series. Whichever direction you are going, the sequences worth getting right first are the ones where continuing to send is actively embarrassing. ## Questions to ask before you sign Put these to a sales rep, or find the answer in the documentation before anyone quotes you a number. 1. What is our stable identifier for a person, and does it survive them changing both their email address and their phone number? 2. Do any of our messages depend on something happening to an organisation rather than to an individual inside it? 3. Has anybody snapshotted who is currently in each segment, or do we only have the rules that define them? 4. Is anything in our setup silently skipping recipients today, and would we be able to tell if it were? 5. Who is responsible for pruning the profile count, and what date is that review actually on? 6. Do we hold consent for text messages separately from consent for email, with the evidence for each? 7. When somebody converts halfway through a sequence, what should stop sending, and is that written down anywhere? ## A third shape of answer The mechanic both of these share is that you pay for people you are storing rather than messages you are sending, and neither vendor will change that because it is the business model. If the thing driving this comparison is a bill that grows with a database you cannot prune — dormant signups, unsubscribed profiles, accounts that never activated — then swapping one profile meter for another is not a fix, it is a re-quote. The other shape is a platform whose fee does not move with contact count at all, sending through SES in your own AWS account. That is what Wraps does, and it is a poor substitute for either of these if what you need is Klaviyo's commerce modelling or Customer.io's workflow canvas, neither of which it has. It also needs an AWS account and SES production access, an approval AWS grants on its own schedule, so it is not a decision you can make on a Friday afternoon. Wraps publishes this page. We are not one of the two vendors being compared here, and this note is on it because the tension above is one owning the AWS account actually addresses — not because it is on every page. ## Common questions ### Can Customer.io do ecommerce? It can, if you send it the order events yourself. What you do not get is the storefront integration doing it for you, the catalogue-aware content blocks, or predictive fields like expected next order date. For a store, choosing Customer.io means rebuilding a meaningful amount of what Klaviyo gives you on day one, and the only good reason to do that is that your business is not only a store. ### Can Klaviyo do SaaS lifecycle email? Yes, and plenty of SaaS companies run on it, particularly ones already using it for another business. The friction is constant rather than blocking: your events are second-class next to orders, the reporting leads with revenue you may not attribute that way, and segment building means expressing product concepts in commerce vocabulary. It works. It never stops feeling like a borrowed tool. ### Which one costs more at a hundred thousand profiles? They land close enough that the deciding factors are structural rather than the headline rate. Ask two things instead: how many of those profiles will you actually message, and how many are unsubscribed or dormant. Then check the ratchet — Klaviyo auto-upgrades across bands and never auto-downgrades, so its two-year cost depends on whether anyone will be pruning the database. ### Do either of them replace a customer data platform? Neither should be your system of record, though both are used that way by teams who did not decide to. Both hold a profile store good enough to be tempting and neither is built to be queried by other systems or to survive you changing messaging vendors. If the data matters beyond messaging, keep the authoritative copy in your own warehouse and treat either of these as a consumer of it. ### How hard is it to switch between them? Harder than either vendor's import tool implies. Profiles and consent state move fine. Flows, segment definitions, templates and the behavioural history those segments depend on do not, so the new platform starts with no idea who is engaged. Expect to run both in parallel for a cycle, and expect your segments to be wrong until enough new history has accumulated. ### Which one is easier to hand to a marketer without engineering help? Klaviyo, by a wide margin, and deliberately so. A marketer can build a flow, design a template, define a segment and read the revenue report without ever opening a ticket. Customer.io is usable by a marketer but not self-sufficient for one: the useful segments depend on events that only engineering can emit, and the most powerful parts of the workflow builder assume familiarity with templating and webhooks. That is not a flaw so much as a staffing requirement, and it is worth checking you can meet it before you sign. ### Why did my campaign reach fewer people than the segment held? Most often because a recent-contact window removed them and did not make a fuss about it. Klaviyo will skip anybody who has already been messaged inside a configurable period unless the send is explicitly allowed to override it, on the reasonable theory that mailing the same person three times in a morning is worse than missing them once. The behaviour is correct and the discovery is awful, because the campaign report shows a recipient count far below the segment count and the interface does not lead with the explanation. Before you go hunting for a delivery problem, check the window, check whether the send was set to ignore it, and check whether another flow reached those people earlier in the day. Then write the chosen window down somewhere the next person will find it, because this question gets asked once a year forever otherwise. ### Can either of these message a whole account rather than a person? One can natively and one cannot. A platform that models organisations and their relationships to people can trigger on something happening to the organisation — a trial expiring, a plan changing, usage crossing a line — and address everybody attached to it, which is the normal shape of business-to-business lifecycle messaging. A platform built around a shopper has no membership concept, because a shopper does not belong to anything, so the equivalent is copying the account's state onto every individual profile and keeping every copy current. That works. It is also a synchronisation job with an owner, a failure mode where half a team gets the message, and a permanent cost nobody puts in the evaluation. If more than a couple of your messages are really about an account, this single difference is likely to decide the comparison. ### Do segment definitions export? The rule does, roughly, as something a human retypes. The membership does not, and that is the part people assume they are getting. A dynamic segment is a query evaluated continuously against the profile store and the event history behind it, so a new platform holding neither cannot reproduce the population — it can only start computing the same rule against data that has barely begun to arrive. The practical consequences are two. First, take a dated snapshot of who is in each segment before you leave, because that is the only way to tell afterwards whether a difference is a transcription error or a data gap. Second, expect your segments to be wrong for several weeks and plan not to make decisions from them during that period, rather than discovering the problem through a campaign that under-sent.