Klaviyo vs Omniconvert
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentOmniconvert compared with Klaviyo
Complementary rather than competitive. Klaviyo executes the messaging; Omniconvert's Reveal decides who should receive it, pushing RFM segments into Klaviyo flows. Klaviyo has its own segmentation, so smaller stores often do not need the extra layer, but stores wanting rigorous lifetime value cohorts find Reveal's analysis considerably deeper than what a messaging platform provides.
Choose Klaviyo if
Direct-to-consumer and ecommerce brands on Shopify, BigCommerce, or WooCommerce doing enough revenue that abandoned-cart and post-purchase flows pay for the subscription several times over, and who want segmentation driven by purchase behavior rather than by tags they maintain by hand.
Choose Omniconvert if
Ecommerce stores with an established repeat-purchase base that want experimentation judged by customer value and retention, not just by conversion rate, and that will actually use RFM segments in campaigns.
Side by side
13 attributes| Attribute | Klaviyo | Omniconvert |
|---|---|---|
| Category | ESPs | CRO |
| Starting price | $0 (free up to 250 profiles), then roughly $30/mo at 1,000 active profiles (free plan available) | Explore from roughly $320 per month; Reveal priced separately by customer volume (free trial) |
| Pricing model | Self-serve tiers priced by active (marketable) profile count, with a monthly email send allowance of roughly ten times the profile count; SMS is sold as a higher Email plus SMS plan with its own message credits, and the newer data, service, and AI product lines meter separately. | Two separately licensed products. Explore is priced by monthly tested visitors, Reveal by tracked customers or orders. Annual billing is discounted and larger volumes are quoted. |
| Free plan | Up to 250 profiles, 500 emails per month, $5 of mobile messages per month, and 10,000 Composer credits, with email support limited to the first 60 days. | No |
| Free trial | No fixed-length trial; the free tier up to 250 profiles is the evaluation path | Free trial available on both products |
| Best for | Direct-to-consumer and ecommerce brands on Shopify, BigCommerce, or WooCommerce doing enough revenue that abandoned-cart and post-purchase flows pay for the subscription several times over, and who want segmentation driven by purchase behavior rather than by tags they maintain by hand. | Ecommerce stores with an established repeat-purchase base that want experimentation judged by customer value and retention, not just by conversion rate, and that will actually use RFM segments in campaigns. |
| Setup time | An afternoon for a Shopify store to be sending. The store connector installs in one click and backfills order history, the onsite snippet goes on automatically, and the prebuilt flows can be turned on with default content the same day. Getting the flows genuinely good, with branded templates and considered branching, is a two to four week project. | Explore installs in a day. Reveal requires connecting order history and validating that customer records deduplicate correctly, which usually takes a week including data checks. |
| Learning curve | Moderate and front-loaded. The flow builder and campaign sending are approachable, but segment logic over event properties is where people get stuck, because it asks you to think in terms of events and their metadata rather than in terms of lists. Anyone who has only used tag-based ESPs will need a week to stop fighting the model. | Moderate. Experimentation is familiar; RFM segmentation requires the team to learn a customer value vocabulary and, more importantly, to decide what to do differently for each segment. |
| Platforms | Web application, iOS and Android apps for reporting, Mobile SDKs for push, Onsite JavaScript library | Web (JavaScript), Shopify, WooCommerce, Magento, Custom ecommerce via API |
| Compliance | SOC 2, GDPR with a data processing agreement, CCPA | GDPR, CCPA |
| Founded | 2012 | 2013 |
| Headquarters | Boston, Massachusetts, United States | Bucharest, Romania |
| Ownership | Publicly traded on the NYSE under the ticker KVYO | Private, independent |
Strengths and limitations
Klaviyo
Strengths
- The data model is the real product: live segments over order history, browsing behavior, and predicted values give you targeting no tag-based ESP can express.
- Revenue attribution per flow and campaign is credible because Klaviyo already holds the order events, which makes the subscription defensible to whoever signs off on spend.
- Suppressed profiles stop counting toward the bill, so unsubscribes and bounces reduce cost rather than becoming permanent dead weight.
- Prebuilt ecommerce flows mean a new store can have abandoned cart, welcome, browse abandonment, and post-purchase live in days rather than designing automation from a blank canvas.
Limitations
- Expensive at scale. Roughly $720 a month at 50,000 profiles is several times what Brevo, Omnisend, or MailerLite charge for comparable list sizes, and the per-profile rate does not improve as you grow.
- The send allowance of about ten times your profile count constrains high-frequency senders, so a daily-mailing brand can be forced into a higher band by volume rather than by list growth.
- No advertised annual discount on self-serve plans, removing a lever that almost every competitor offers.
- The email editor is functional rather than delightful; teams coming from MailerLite or Kit usually find it a step down aesthetically.
Omniconvert
Strengths
- Connects experimentation to customer value rather than optimizing conversion rate in isolation.
- Automatic RFM segmentation removes the most common blocker to running a retention program.
- Ecommerce-specific targeting including cart contents and returning-customer status.
- Revenue-per-visitor reporting protects against discount-driven false wins.
Limitations
- Effectively ecommerce-only; the model does not translate to B2B or lead generation.
- Two separate subscriptions make the full platform expensive for smaller stores.
- No free plan, and entry pricing is well above budget CRO bundles.
- Requires meaningful order volume before cohort and RFM analysis produces reliable segments.
Pricing compared
Klaviyo
Self-serve tiers priced by active (marketable) profile count, with a monthly email send allowance of roughly ten times the profile count; SMS is sold as a higher Email plus SMS plan with its own message credits, and the newer data, service, and AI product lines meter separately.
- Free$0
- Email (1,000 profiles)Approximately $30
- Email (10,000 profiles)Approximately $150
- Email (50,000 profiles)Approximately $720
- Enterprise and additional product linesQuoted
For a store with real order volume, Klaviyo at 1,000 or 10,000 profiles is straightforwardly good value, because the four standard flows typically return several multiples of the subscription and the attribution report proves it in a currency the founder already thinks in. The suppression policy is a genuine and underrated saving, since you are not paying rent on people who left. Value collapses in two situations: a large list without commerce revenue behind it, where $720 a month at 50,000 profiles buys reporting you cannot monetize, and a business that lets the SMS, reviews, and data product lines accumulate until the email tool costs enterprise money. Judged strictly as ecommerce email, it is expensive and worth it; judged as a general-purpose ESP, it is the wrong shape at the wrong price.
Omniconvert
Two separately licensed products. Explore is priced by monthly tested visitors, Reveal by tracked customers or orders. Annual billing is discounted and larger volumes are quoted.
- ExploreFrom about $320
- RevealQuoted by customer volume
- Bundle and enterpriseQuoted
Omniconvert is priced above the small-business bundles and below enterprise platforms, and it earns that position only for stores that genuinely act on customer value data. If RFM segments will drive real campaigns and experiments will be judged on revenue and repeat rate, the combination is hard to assemble elsewhere for the money. If the store will use it as a slightly expensive A/B testing tool, cheaper platforms do that part just as well.
Editorial verdict on each
Klaviyo
Klaviyo is the correct default for an ecommerce brand with enough order volume that automated flows are a revenue line rather than a nice-to-have. The customer database underneath, the live segmentation over purchase and browsing behavior, and the revenue attribution that makes the spend defensible are genuinely a class above what general-purpose ESPs offer, and billing only for marketable profiles is a fairer meter than most of the category uses. The costs are real: no annual discount, a send allowance tied to list size, a per-profile rate that never improves with scale, and a growing set of adjacent products that each want their own line on the invoice. Buy it if a checkout produces your revenue and you intend to run serious flows. Do not buy it for a newsletter, a service business, or a big list with thin margins, where you will pay ecommerce prices for reporting you cannot cash.
Read the full Klaviyo profileOmniconvert
Omniconvert is the rare conversion platform that argues against its own vanity metric, and that argument is correct: a conversion rate lift that arrives via discounting and one-time buyers can leave a store worse off. Pairing experimentation with RFM segmentation and lifetime value cohorts is a genuinely differentiated position, and the audience export makes the analysis actionable rather than decorative. The cost of that position is scope and price. It is ecommerce-only, needs real order volume to be interesting, and charges twice for the full picture. Stores with a repeat-purchase base and the discipline to act on segments will find it worth the money; everyone else is buying an expensive A/B testing tool.
Read the full Omniconvert profileKlaviyo profile last reviewed 2026-08-22; Omniconvert last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.