Skip to content
MarketScale
‹ Back to IndustriesMarketing Tech

Klaviyo launches Social Marketing to turn Instagram engagement into owned customer data

Klaviyo has launched a new product, Social Marketing, which allows businesses to turn Instagram engagement, such as direct messages, comments, and tags, into owned customer data. This product integrates Instagram interactions directly into customer profiles, making Instagram a fully owned channel for brands.

This story was produced through MarketScale. See how Marketing Tech teams put it to work with AI Writing.

By MarketScale Newsroom · KlaviyoSocial MarketingCrmOmnichannel Marketing
Share
Learn this in 60 seconds

Key facts, context, and what it means, in one minute.

:60
0:001:00

Key takeaways

01

Klaviyo's Social Marketing product captures Instagram engagements directly into customer profiles.

02

Businesses can convert Instagram interactions like DMs, comments, and tags into owned customer data.

03

Instagram is positioned as a fully owned channel for brands using Klaviyo's Social Marketing.

Get featured

Want MarketScale to feature Marketing Tech?

Book a 15-minute demo and we'll map your Marketing Tech expertise to the content buyers are searching for.

Book a demo

Klaviyo has made Klaviyo Social Marketing generally available, adding Instagram as a fully owned channel inside its B2C CRM platform. The product places social signals, every DM, comment, tag, and post, directly onto the same unified customer profile that already holds purchase history, browsing behavior, and service interactions.

The launch closes a gap that has frustrated B2C marketing teams for years. Social engagement has historically been trapped inside platforms brands do not own, generating engagement metrics that never made it back into the marketing stack. According to Klaviyo's announcement, that means teams running giveaways, influencer campaigns, and creator relationships have had no reliable way to connect those efforts to list growth, segmentation, or downstream revenue.

Social Auto-replies turn DMs into opted-in contacts

The most operationally immediate capability is Social Auto-replies. A marketer sets a keyword, a follower DMs or comments that keyword, and Klaviyo captures email, SMS, or WhatsApp consent right inside that Instagram conversation. The new contact is immediately routed into an existing welcome flow, no manual export or list import required.

Brands can also ask custom questions inside the DM flow, collecting preference data such as product categories, birthday, or shopping intent at the point of opt-in. That data lands on the customer profile and is immediately available for segmentation and personalization.

The list-building layer connects to Klaviyo's existing ad audience sync, which pushes segments in real time to Meta, Google, TikTok, and Pinterest. Marketing teams can build lookalike audiences from behavioral data rather than surface-level demographic matches, and retarget cart abandoners or site browsers directly in social feeds.

Social engagement has always been easy to see and nearly impossible to act on at the customer level. That changes when every comment and DM lands on a profile your CRM can read.

Social behavior becomes a segmentation and flow trigger

Once social activity is attached to customer profiles, it behaves like any other behavioral data inside Klaviyo. Teams can build segments on social criteria the same way they build them on purchase criteria: followers who commented on a product launch post but have not yet converted, customers who repeatedly tag the brand in Reels, or creators with high engagement who could be activated as advocates.

Flows can be triggered off those social-behavior segments, meaning a comment on a new product Reel can automatically start a nurture sequence without a marketer manually setting up the connection each time. According to Klaviyo, this is designed to move social engagement from a reporting metric into a live input for the customer journey.

A social content library consolidates owned posts and user-generated content in one view, with engagement metrics, reach, and comment data visible alongside each piece. AI-powered insights within the library surface rising creators before they hit peak reach and flag content themes that are gaining traction, giving campaign planners a prioritization signal rather than a manual audit.

Kulani Kinis scaled its ambassador program 5x in beta

Australian swimwear brand Kulani Kinis ran Klaviyo Social Marketing in beta and used it to connect social engagement to the rest of its customer data. According to Klaviyo, the brand grew its global ambassador program from its prior size to more than 130,000 members, a 5x increase, and collected more than 4,800 user-generated posts tagging the brand over the past year.

The case demonstrates the mechanic that Klaviyo is positioning as the core value proposition: social activity that previously produced engagement data inside Instagram now produces owned contacts, UGC, and advocacy signals that feed back into loyalty and community programs managed inside the CRM.

The product is available now with introductory pricing. Setup requires connecting an Instagram Business account inside the Klaviyo dashboard and selecting a pre-built template; Klaviyo says no technical configuration is needed. The company positions Klaviyo Social Marketing as the newest layer of what it calls an autonomous B2C CRM, sitting alongside email, SMS, WhatsApp, and mobile push in a single unified stack.

What this means for your team

  • Audit your current Instagram DM and comment volume: if those interactions are not producing owned contacts today, Social Auto-replies offer a direct path to list growth without paid media spend.
  • Review your segmentation model to determine whether social behavior, frequent commenters, brand taggers, or high-engagement followers, should modify how you prioritize flows or loyalty rewards.
  • Evaluate your UGC workflow: if creator identification and content repurposing are currently manual, the social content library's AI-ranked creator and post data could reduce that overhead.
  • Check whether your paid social audience sync is pulling from behavioral segments or demographic proxies; the ad audience sync integration may improve match quality and reduce cost-per-acquisition.

Featured companies

Your experts belong here

Every story in MarketScale Marketing Tech starts with a company putting its practitioners, product marketers, and RevOps leads on the record. Buyers are already reading this topic. The only question is whose experts they find.

Your buyers live in search and AI answers, so published expert content is the channel that compounds instead of expiring.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

MarketScale Newsroom
MarketScale NewsroomEditorial Team, MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

Follow Marketing Tech Insights

Get new expert content in your inbox.

Marketing Tech: are you visible to AI?

Before they reach out, Marketing Tech buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Marketing Tech expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your practitioners, product marketers, and RevOps leads into the articles, video, and social content Marketing Tech buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Marketing Tech Insights

B2B marketing automation platforms are splitting into two camps, and the wrong pick costs more than the subscription

B2B marketing automation platforms are splitting into two camps, and the wrong pick costs more than the subscription

Choosing the right B2B marketing automation platform is critical as the market is divided into two main types. The wrong choice can lead to higher costs beyond the subscription itself. Decision-makers need to understand the differentiating factors between platforms to avoid costly mistakes.

  • 01The B2B marketing automation platform market is divided into two main types.
  • 02Selecting the wrong marketing platform can result in costs beyond the subscription fees.
  • 03Understanding the differences between platforms is essential for making an informed choice.

Aug 17, 2026

Wunderkind and Cordial integrate AI decisioning with cross-channel messaging to close the personalization execution gap

Wunderkind and Cordial integrate AI decisioning with cross-channel messaging to close the personalization execution gap

Wunderkind and Cordial have teamed up to integrate AI decisioning into cross-channel messaging, aiming to bridge the personalization execution gap. This collaboration allows Wunderkind's behavioral intent signals and autonomous AI to directly feed into Cordial's platform, providing enterprise marketers with a cohesive toolset. The integration is poised to enhance marketing strategies by creating a unified approach to AI-powered messaging.

  • 01Wunderkind and Cordial's new integration combines AI decisioning with cross-channel messaging.
  • 02Wunderkind's AI and behavioral signals are now integrated with Cordial's platform for enhanced personalization.
  • 03The integration offers a unified stack for enterprise marketers to enhance their strategies.

Aug 16, 2026

Demand Gen Report's 2026 benchmark survey puts AI workflow ROI to the test

Demand Gen Report's 2026 benchmark survey puts AI workflow ROI to the test

Demand Gen Report's 2026 benchmark survey evaluates the return on investment of AI workflows across four critical B2B marketing use cases: content, scoring, optimization, and production. These findings highlight where marketing teams are investing heavily in AI technologies.

  • 01B2B marketing teams are making significant investments in four AI use cases: content, scoring, optimization, and production.
  • 02The benchmark survey assesses the ROI of AI workflows in marketing.
  • 03Demand Gen Report offers insights into the impactful adoption of AI in B2B marketing.

Aug 16, 2026

Explore More Marketing Tech Insights

Read more expert perspectives from across Marketing Tech.

Browse Marketing Tech Hub

About the Expert

MarketScale Newsroom
MarketScale Newsroom

Editorial Team

MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Marketing Tech and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512