Klaviyo Release Notes

Klaviyo's AI helps teams discover opportunities, build launch-ready campaigns, and optimize performance — all grounded in your actual customer data, flow history, and 14+ years of marketing intelligence across 193,000+ brands.

A digital tablet displays an "Abandoned cart" automation workflow, featuring a flowchart with steps for triggers, waits, conditional splits, emails, and text messages.

Opportunity

Marketing teams know there's more performance in their Klaviyo account, but translating data into executed campaigns is manual and time-intensive — leaving growth opportunities untouched and teams focused on production instead of strategy.

Example

A marketer describes a goal — "launch a summer re-engagement campaign for customers who haven't purchased in 90 days" — and Composer identifies the right audience, drafts email and SMS content, sequences the timing, and queues everything for review, in minutes.

Value

• Go from marketing goal to launch-ready campaign in minutes
• Uncover the highest-impact opportunities across your flows, segments, and campaigns
• Stay in control with marketer review and approval before anything goes live

Try Composer now …

Customer Agent now writes data captured during a conversation — preferences, answers, and choices — directly back to a shopper's Klaviyo profile in real time, turning every support interaction into a zero-party data collection moment.

A tablet screen displays a customer profile interface with custom properties and an activity log.

Opportunity

Customer Agent can have rich, personalized conversations with shoppers, but the preferences and intent signals captured during those conversations have had no way to reach the rest of Klaviyo — leaving valuable zero-party data siloed in service and out of reach for marketing.

Example

A shopper tells Customer Agent they prefer a medium fit and fragrance-free products. Those preferences are written directly to their Klaviyo profile and immediately used to power personalized flows, segmentation, and product recommendations — no manual data work required.

Value

• Turn every support conversation into a zero-party data collection moment
• Power smarter segmentation, flows, and personalization from what shoppers tell your agent
• Close the loop between service and marketing without any custom development

Learn more …

Customer Agent now automatically detects and responds in whatever language a shopper writes in — across web chat, email, SMS, and WhatsApp — so brands configure their agent once and serve customers in 100+ languages without duplicating setup per market.

Three smartphone screens displaying a multilingual AI customer service chat about changing shoe sizes in English, Spanish, and French.

Opportunity

International merchants need to support shoppers in their native language, but setting up and maintaining separate agent configurations per language or market creates significant operational overhead and slows expansion.

Example

A French brand configures their Customer Agent once in French. A Spanish-speaking shopper reaches out on WhatsApp and receives an instant, accurate response in Spanish — no additional setup, no separate market configuration required.

Value

• Configure your agent once and serve shoppers in 100+ languages automatically
• Expand into new international markets without duplicating setup per language
• Deliver native-language support across web chat, email, SMS, and WhatsApp

Learn more …

A conversational interface that lets you configure Customer Agent — skills, tools, workflows, and escalation rules — by describing what you want in plain language, so you can go from zero to a working agent setup without manual configuration or outside help.

A tablet UI for configuring customer service agent skills, showing a chat preview and skill management options.

Opportunity

Configuring a Customer Agent is powerful but complex — skills, tools, escalation rules, and knowledge each live in separate editors, and building a well-functioning agent typically requires an implementation partner or solutions architect just to get started.

Example

A CX manager types "I want the agent to handle return requests, ask for an order number, and escalate to a human if the customer is frustrated" — and the builder generates the skill configuration, asks a clarifying follow-up, and produces a working setup ready to test, without the manager touching a single manual editor.

Value

• Configure Customer Agent through a conversation, not a manual setup process
• Reduce time-to-value without needing an implementation partner or solutions architect
• Iterate on your agent setup faster as your business needs evolve

Learn more …

Connect Instagram engagement — comments, DMs, and mentions — directly to Klaviyo customer profiles, turning social interactions into consented subscribers, segmentation signals, and triggers for automated flows, with a centralized content library for user-generated and owned content.

A tablet screen displaying a content analytics dashboard with user-generated content metrics, a content grid, and an AI chat assistant offering content suggestions on the right.

Opportunity

Brands invest heavily in social to drive discovery and engagement, but social activity stays trapped inside platforms they don't control — followers never make it into the marketing system, and social behavior has no way to inform segmentation, flows, or personalization.

Example

A shopper comments on an Instagram post to claim a discount, receives an auto-reply that captures their email, and is automatically added to a welcome flow — then, when they post about their purchase, the brand pulls that UGC into a product email sent to customers with similar buying behavior.

Value

• Convert Instagram followers into owned, addressable subscribers automatically
• Trigger flows and build segments from real social engagement data
• Turn user-generated content into reusable marketing assets across email, SMS, and onsite

Learn more …

Bring richer relational data — wishlists, loyalty rewards, reservations, reviews, subscriptions — into Klaviyo as structured customer records, and use it directly in segments, flows, and message personalization without reverse ETL tools or custom engineering.

A tablet displays a customer profile with family details, integrations like Google BigQuery and Snowflake, and a segment filter for 'Has a child between 8-10'.

Opportunity

Marketers know who their customers are but rarely have enough context about the relationship to personalize effectively — because wishlist activity, loyalty status, and other high-value data live in external systems and warehouses that are difficult to activate without dedicated data infrastructure.

Example

A new subscriber enters a welcome flow and, instead of receiving a generic first message, sees the exact products they already saved to their wishlist paired with a first-purchase offer — powered by structured wishlist data brought into Klaviyo directly from a partner integration.

Value

• Activate wishlists, loyalty rewards, reviews, and other relational data in segments, flows, and messages
• Bring structured data from warehouses and partner integrations into Klaviyo without reverse ETL or custom engineering
• Turn the customer data brands already have into more relevant, revenue-driving personalization …

A wave of WhatsApp enhancements that make automated conversations richer, smarter, and more capable — including AI-powered Customer Agent support in any language, interactive message formats, two-way data collection in flows, and AI-driven channel affinity that automatically routes each customer to WhatsApp when it's their most responsive channel.

A tablet displays a visual chatbot flow builder with interconnected questions, while two smartphones show a corresponding chat conversation with a bot.

Opportunity

WhatsApp is the dominant messaging channel across key global markets, but brands have been limited to basic one-way messages — unable to automate rich conversations, collect customer data mid-flow, or route customers intelligently based on where they're most likely to engage.

Example

A shopper in France receives a WhatsApp message with an interactive product quiz, answers questions about their preferences in French, and gets a personalized recommendation — while their responses are saved to their Klaviyo profile and used to trigger a follow-up flow, all without a human agent involved.

Value

• Automate richer WhatsApp conversations with images, media, interactive buttons, and two-way data collection
• Resolve customer questions and drive purchases 24/7 with Customer Agent across WhatsApp in 100+ languages …

Embed AI-powered product recommendations, personalized content blocks, targeted banners, and self-service integration blocks — order tracking, subscriptions, loyalty — anywhere on your storefront, powered by the same Klaviyo profiles that drive your email, SMS, and push programs.

A website builder interface customizing an e-commerce product page, with content, banner, and product recommendation editor panels.

Opportunity

The moment of highest purchase intent — when a shopper is actively browsing a brand's site — has historically been the least personalized surface in a marketer's toolkit, with recommendations and loyalty experiences locked inside the Hub drawer and invisible to the majority of site traffic.

Example

A loyalty member who clicked a restock email arrives on the product page and sees AI-powered recommendations tailored to their purchase history, a content block showing their current rewards tier, and an embedded order tracking widget — all without logging into a separate account or leaving the page.

Value

• Extend Klaviyo's personalization engine from email and SMS onto the storefront itself
• Surface AI-powered recommendations, loyalty content, and self-service experiences anywhere on your site
• Consolidate onsite personalization onto the same platform and data layer already powering your marketing …

Branch flow subscribers into three or more paths in a single split action — by locale, channel, behavior, or any profile data — replacing the nested yes/no workaround with cleaner logic that's faster to build, easier to read, and simpler to maintain at scale.

A customer journey map on a tablet displays an abandoned checkout trigger, followed by conditional splits offering personalized promotions for footwear or workout apparel based on purchase history.

Opportunity

Marketers building flows for multiple languages, locales, or audience segments have had to nest binary splits one after another to reach more than two paths — creating flow architectures that are hard to build, difficult to audit, and slow to process.

Example

A brand running flows across four regional markets configures a single multi-branch split by locale, sending each segment a localized message in one step — replacing a chain of nested yes/no splits that previously took four separate conditions to replicate the same logic.

Value

• Branch subscribers into three or more paths in a single, clean split action
• Build multi-language, multi-locale, and behavior-based flows without nested workarounds
• Reduce flow complexity without sacrificing personalization depth

Learn more

All updates