Quarticon is a Good Complement to Klaviyo. Here’s why
How to get more from Klaviyo working less
Klaviyo is an advanced marketing automation system, while Quarticon is a recommendation engine for e-commerce that autonomously manages product offerings for each user individually in store. If you care about anonymous users* you should use both tools.
*You should care about, they are ~95% of your traffic
Native recommendations in Klaviyo require the user to be “known” (registered and logged in or identified as known via cookie) to trigger the personalization algorithm. However, this is not enough, as it applies to 5% of your customers. Quarticon will therefore increase the effectiveness of your emails in Klaviyo and from the website, where 95% of your customers are.
Klaviyo targeting problem – most of real, potential customers (yellow circles) are not covered because they haven’t purchased yet.
Klaviyo targets just the red circle. Quarticon targets yellow ones and the red
Why Klaviyo alone is not enough for your e-store?
Klaviyo is an excellent tool in send-time optimization (1:1 timing, not content), segment sophistication (they make segments really powerful), email design (their email builder is excellent), multi-channel (SMS, push, etc. alongside email) and brand reputation (known for email excellence).
But they still can’t do few things that are important for your e-commerce business.
Klaviyo can’t personalize for 95% of customers
Klaviyo relies solely on logged-in and recognized users, therefore it is not effective enough as a standalone tool in e-commerce.
The percentage of users we can identify is continuously decreasing (due to ad-blocks, 3rd party cookie restrictions, using Firefox, and finally, cookies not accepted by users).
This means that a significant majority, as much as 95% of users in e-commerce stores, are anonymous. This is new traffic, e.g., from social media, search engines, AI assistants.
Klaviyo can’t learn on all users behavior
Training models in Klaviyo on 5% of the population is subject to a huge error.
The system learns only part of specific behaviors, which distorts the conclusions drawn.
Quarticon’s product recommendation engine learns from 100% of the traffic on the site, in emails, and applications, on logged-in and anonymous users.
Klaviyo uses segmentation
Segmentation was a workaround for dumb email systems. You’re not dumb.
Klaviyo forces you to build segments first. Then writes segment-based content (everyone in “boots segment” gets the same email). Then optimizes send timing (1:1 when, not 1:1 what).
After adding Quarrticon you send one email campaign. Quarticon automatically creates unique content for each person based on their behavior and context You get 10,000 different emails and zero manual work
Klaviyo can’t do living emails
Klaviyo sends static emails. Content locks at send time. Prices shown are from hours or days ago. Inventory might be wrong. Late openers see outdated information.
Adding Living Emails from Quarticon, your email updates automatically – showing the new price when they open days after sending.
Klaviyo want you work harder
It requires segmentation strategy, building segment in their system, writing segment-based workflows, testing and debugging, creating content for segments.
Although you get some work automated (comparing to regular marketing automation systems) – you still have a lot.
Klaviyo’s 1:1 trick
Klaviyo markets “1:1 personalized send time”, which sounds like 1:1 personalization, but it’s NOT.
Klaviyo does 1:1 send timing: Customer A gets the email at 2 PM (their optimal time). Customer B gets it at 4 PM (theirs). But both get the exact same email content because they’re in the same segment.
If you use the Customer Hub or Customer Agent chat functions in Klaviyo to display recommendations on the site, in the case of anonymous users, because Klaviyo cannot retrieve the profile, the system automatically switches to general suggestions such as “Popular”, “Bestsellers”, or “New Arrivals”. More information in this article: How Recommendations Work in Marketing Automation.
💡 Read also about the advantages of Quarticon product recommendation engine and living emails over marketing automation systems: CDP – AI Models with Significant Training Errors, CDP/MA – understanding the timing paradox, The Reality of CDP/MA – So Much Effort for 5% of Traffic
Is Quarticon a good companion for Klaviyo?
Quarticon is a platform that was introduced primarily to serve unknown, anonymous users (95%), and incidentally, without the slightest obstacles, serves known users. But the latest release – Living Emails really makes the difference in marketing automation. Here is why.
Personalization for each person
Send content tailored to each customer, not the same message to an entire segment.
Update content after sending
Your emails evolve in real-time, even after they’re sent. Show fresh prices, live inventory, and updated products to unopened emails.
Individually, for each subscriber.
No segments to manage
Personalize using individual behavior and current context, with no segments to build or maintain.
Live in 15 minutes
Add a generated HTML code snippet and get started, without a lengthy setup process.
Fresh content in every minute
Use up-to-date customer data and product data each time, so repeat emails stay relevant.
More value for your budget
Spend less on email marketing and keep more to invest in your business.
And more time to grow. Spend less time building and maintaining email campaigns, and more time running your business.
Key features of Quarticon Living Emails for Klaviyo
Automatically create offers featuring new arrivals
Automatically include new arrivals from your store in emails, newsletters, and even notifications sent from your e-commerce platform.
All you need to do is set it up once in the notification template!
Automatically create PDF newsletter-style emails
Sending PDF newsletters via email is a relic of the past. PDF offers are sent only because structuring an email, for example, with 30 products embedded in the message, is a very complicated and time-consuming task. But not with Quarticon AI-emails.
Embedding 1 product takes 5 seconds; embedding 30 products takes 5 seconds × 30—and it’s a one-time task.
Cross-sell offers in your email campaigns
“Other customers also bought” offers will be available without the need for integration or system upgrades. True 1:1 personalization
Even more possibilities
Learn more about the revolutionary AI-mails service.
Request a demo
See how quickly and easily personalized emails can be configured with Quarticon’s Living Emails.
Increase marketing automation by adding Living Emails – autonomous personalization layer for your current sending tool.
- 100% coverage of MA / CDP systems
- Independent of sending systems
- True personalization 1:1
- Emails update after sending
- Consistent experiences across all channels
- Marketing automation system cost savings
- Understands user intent.
- Simple snippet. No complicated implementation.
- 60% higher sales from mailings
Frequently asked questions about Living Emails
What is Quarticon Living Emails?
Quarticon Living Emails is a service that provides content personalization in mailings and web push (and beyond) in any marketing automation system. Decisions about product or content selection are made by the Quarticon decisioning engine, based on proprietary predictive models (pAI).
With Living Emails you can easily embed a personalized product block in any system (marketing automation, email platform, CDP, etc.) and in environments that do not support JS. Effortless, integration-free, it provides a consistent experience across all communication channels, eliminating 90–95% of the tasks and effort involved in preparing a personalized and up-to-date product offer in emails.
You can learn more about the product here: personalized living e-mails
Does Quarticon Living Emails rely on generative artificial intelligence?
No, the system does not use generative artificial intelligence at all (such as ChatGPT, Gemini, Claude, Mistral, etc.). It uses proprietary predictive AI algorithms trained to match product offers and content. Therefore the system will not write your newsletter intro for you. But it will populate it, for example, with products that are tailored to each recipient of the newsletter individually.
Will every email recipient get an individually selected offer?
Yes. The AI-mails service, at a higher package level, allows individual tailoring of the offer to the user based on their previous purchases and on-site behavior and clicks in sent emails. Offer management is handled by the Quarticon decisioning engine populated by Living Emails.
Does the product offer in the email refresh in real time?
Exactly! The product offer refreshes in real time and individually for each email recipient. Every time the user opens the email you can be sure the offer in the email content will be up to date. This helps achieve better alignment with each recipient’s current needs and, of course, positively impacts conversions.
Can I change the product offer after sending the email?
Everyone will tell you that’s a silly question and of course not.
But not with Quarticon Living Emails! The offer changes dynamically between sending and opening. Top-sellers sold out in the meantime? No problem. The system will select other well-selling and available products.
Do I need a developer to start using Quarticon Living Emails?
No, you do not need a developer to use Quarticon Living Emails. The system does not require any complicated integration with either the sending system or the e‑commerce platform. That’s the beauty of it. Launching Quarticon in your store will take you just a few minutes using the step-by-step instructions in the panel.
Can I get help integrating Quarticon Living Emails in my store?
Yes, our support plan provides full assistance with integration. Quarticon offers a wide knowledge base and 24/7 technical support, making it user friendly.
Can I adapt the product appearance to my email template?
Yes. In the user panel you have access to the product card designer. You can create any templates containing photos, prices, product names, or only product names, in a horizontal or vertical layout. At the end you define which template to use and which product display strategy, and a ready snippet for your mailing is generated.
Do I Have to Give Up Klaviyo to Use Quarticon?
No, you do not have to give up Klaviyo marketing automation and move the database to use Quarticon products. However, it may turn out that a simple marketing automation solution, e.g., free Mautic or Brevo combined with Quarticon will be completely sufficient to implement most of the advanced functionalities presented by the Klaviyo system! It’s up to you.
Quarticon recommendation engine vs MA on-site recommendations, simply explained
How do other, common “recommendation frames” in e-commerce platforms work?
The best way to illustrate it is with an example.
You have a clothing store where white T‑shirts for €5 sell best.
A new customer comes in and looks at a dress priced at €100.
The shop assistant approaches her and says, “you should buy this T‑shirt instead.”
Something’s off here, right?
This is how most recommendations available in e-commerce platforms, marketing automation, and CDPs work! That’s why it’s better to choose a specialist.
How do “recommendation frames” in marketing automation and CDPs work?
Marketing automation only remembers a few customers who have bought something before.
In a real‑world example it would look like this:
If the customer is anonymous (comes for the first time, the seller doesn’t recognize them – in e‑commerce that’s an adblock or cleared cookie) it will be like the example above: “you should buy this T‑shirt”.
And such customers make up 95%. 95% of wasted opportunities.
Now the real power of marketing automation: we recognize the customer.
The assistant shouts at the door: “Hello, Ms. Maria” (hurrah! we know the customer).
Maria calmly goes to the dresses and looks at a red dress for €100.
The assistant, a crafty one, remembers that Maria bought trousers a month ago, so she shouts: “Ms. Maria, we have great trousers on sale”.
This is how recommendations in marketing automation and CDPs work. They operate on historical data.
Even for regular customers (5% of all customers) they are unable to recommend the right product.
Only tomorrow will they realize that Maria came for a completely different product than trousers. Tomorrow is already too late.
How does the Quarticon product recommendation engine work?
The Quarticon product recommendation engine adapts in real time, instantly to the recipient’s behavior.
So again, illustratively.
A customer comes into the store and looks at a red dress for €100.
The assistant approaches, greets her, and says there is an interesting model of the same kind of dress.
The customer hesitates, considers it, but takes another dress. However, she puts it back.
The assistant, trained on tens of thousands of cases, suggests one more dress to the customer and hits the mark. The customer buys it.
What did the assistant do? She adapted in real time to the customer’s needs and used the knowledge she built from thousands of other customers about which dresses might appeal to the customer based on what she had viewed so far.
That’s how the Quarticon AI product recommendation engine works.
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