Klaviyo (Sales & Marketing)
Screenshot of Klaviyo

Klaviyo

Klaviyo is an email and SMS marketing platform that builds detailed customer profiles, powers AI-written campaigns, and tracks conversions across channels.

Screenshot

What is Klaviyo?

Klaviyo is an email and SMS marketing platform built to give businesses a deep understanding of their customers. It compiles detailed customer profiles from past purchases, current interactions, and predictive signals, then uses that data to suggest products customers are likely to buy and to track conversions across marketing channels.

A standout feature is the AI-powered writing assistant, which helps you draft SMS and email campaigns, create customer segments, and respond to reviews. Klaviyo also builds real-time segments from predictive data, customer profiles, and activity logs, so messages reach the right audience. Peer benchmarks show how your brand compares to similar companies and offer practical advice on where to improve.

Who created Klaviyo?

Andrew Bialecki and Ed Hallen founded Klaviyo in 2012 after seeing how many businesses struggled to use their customer data effectively for personalized marketing. Today, the platform is used by more than 151,000 brands worldwide. Bialecki frequently emphasizes empowering creators with ownership and control so their products and ideas can succeed.

What is Klaviyo used for?

  • Customer profiles — build a complete picture of each customer’s history, behavior, and likely future needs.
  • Product recommendations — suggest products aligned with individual customer interests.
  • Channel tracking — monitor performance and conversions across all your marketing channels.
  • AI writing — generate SMS and email campaigns, segments, and review responses.
  • Precise targeting — reach real-time segments built from predictive data and activity logs.
  • Peer benchmarks — compare your performance against similar businesses and identify improvements.

How to use Klaviyo

  1. Build customer profiles: Gather details on past purchases, current interactions, and anticipated preferences.
  2. Personalize recommendations: Use profile insights to suggest products that match each customer’s tastes.
  3. Monitor channels: Track metrics across channels to see which efforts drive conversions.
  4. Use AI for content: Let the writing assistant draft campaigns, create segments, and respond to reviews.
  5. Target real-time segments: Base segments on predictive data, profiles, and stored activity so messages reach interested customers.
  6. Benchmark and improve: Review peer benchmarks to see how you compare to similar brands and where to improve.

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