Klaviyo vs Klenty in 2026: B2C revenue platform vs B2B outbound sales engagement
Same-sounding names, unrelated jobs. One unifies customer data across email, SMS, and AI agents for eCommerce brands. The other runs multi-channel cold outreach and calling for B2B sales reps.
Klaviyo automates communication with existing customers using purchase and behavioral data. Klenty automates outreach to prospects who have not bought anything yet, with no eCommerce data layer at all.
Klenty includes a built-in power dialer and click-to-call with AI call coaching on recorded calls, a calling workflow Klaviyo does not have in any form.
Klaviyo's built-in CDP unifies behavioral, transactional, and engagement data in real time across 7.3 billion profiles platform-wide; Klenty has no CDP and relies on CRM sync for contact context instead.
Klaviyo has a free plan for up to 250 profiles. Klenty has no free tier and no published trial, requiring a sales demo before hands-on evaluation.
Klenty's pricing is per user ($50 to $99/month), which scales with headcount. Klaviyo prices by active profile count, which scales with list size regardless of team size.
Klaviyo ships a native MCP server exposing customer data to AI tools like Claude and ChatGPT. Klenty has no equivalent data-access layer for external AI tools.
Klaviyo and Klenty get typed into the same search bar mostly because the names rhyme, not because teams are actually choosing between them for the same job. Klaviyo is a B2C marketing platform built around a customer data platform that processes 2.5 billion events a day, automating email, SMS, WhatsApp, and mobile push for eCommerce brands that already have customers. Klenty is a sales engagement platform built for B2B outbound: multi-channel cadences across email, phone, SMS, and LinkedIn, with a built-in power dialer and AI call coaching for reps prospecting people who are not customers yet. If you are evaluating these two head to head, it is worth checking whether you actually need one or the other, because there is almost no overlap in what they do.
The tools at a glance
Klaviyo
The autonomous B2C CRM unifying customer data, AI agents, and omnichannel campaigns in one platform.
Klaviyo is built around a customer data platform (the Klaviyo Data Platform, or KDP) that processes 2.5 billion events and 1.6 billion API calls per day across 7.3 billion profiles. That real-time data layer is what powers everything downstream: segments update the moment a customer abandons a cart or completes a purchase, and flows branch on live behavior rather than batch-processed snapshots from the night before.
Campaigns run across email, SMS, RCS, WhatsApp, and mobile push from the same automation canvas, and the K:AI Marketing Agent can build launch-ready campaigns and flows from just a website URL, learning brand voice and product catalog without manual prompting. Customer Agent, the service-side AI, handles support queries around the clock and Klaviyo reports it resolves 65% of them without a human. None of this is aimed at prospecting people who are not customers; it assumes you already have a list and wants to extract more value from it.
The tradeoff is cost at scale. Pricing is based on active profile count, so a large but low-engagement list gets expensive fast, and features like Customer Agent and advanced CDP capabilities are gated to higher tiers. There is also a real learning curve: the platform is genuinely broad, and teams new to Klaviyo often underuse the segmentation and flow depth that justifies the price.
| Feature | Free $0/mo | Email From ~$20/mo | Email + SMS From ~$35/mo | Enterprise Custom |
|---|---|---|---|---|
| Active profiles | 250 on Free, scales by list size above | |||
| Built-in CDP | Yes, all plans | |||
| Omnichannel (email, SMS, WhatsApp, push) | Yes | |||
| K:AI Marketing Agent | Yes, all plans | |||
| Customer Agent (AI support) | Add-on / Enterprise only | |||
| MCP server access | Yes, all plans | |||
| Cold outbound / calling tools | No |
Klenty
Multi-channel sales engagement platform with AI agents, agentic cadences, and built-in calling tools for outbound-heavy teams.
Klenty is a sales engagement platform for B2B teams running outbound: email, SMS, phone calls, and LinkedIn steps combined into a single cadence. The calling tools are the real differentiator versus a pure email sequencer. Click-to-call and a power dialer are built in, with automated voicemail detection and drop that let reps skip unanswered calls without manually dialing and waiting each time.
AI Agents monitor how a prospect engages, an email open, a link click, a reply, and adjust the cadence path automatically, which Klenty calls agentic cadences. AI call coaching goes a step further on the phone side, analyzing recorded calls and surfacing structured feedback on objection handling and talk ratio, so a sales manager can review a coaching summary in minutes rather than listening to every call.
What Klenty does not have is any eCommerce or customer-data layer. There is no purchase history, no cart data, and no CDP, because the product is built entirely for prospecting people who are not customers yet. Pricing is per user and climbs from $50 to $99 per month depending on tier, which adds up for teams of ten or more, and there is no free trial: evaluation runs through a sales demo.
| Feature | Starter $50/user/mo | Growth $70/user/mo | Plus $99/user/mo |
|---|---|---|---|
| Multi-channel cadences (email, SMS, calls, LinkedIn) | Yes | ||
| Power dialer and voicemail detection | Growth and above | ||
| AI Agents / agentic cadences | Limited on Growth, full on Plus | ||
| AI call coaching | Plus only | ||
| CRM integrations | Yes, all plans | ||
| Built-in customer data platform | No | ||
| Free tier | No, demo required |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Primary use case | B2C customer marketing and retention | B2B outbound sales engagement |
| Target audience | Existing customers on an opted-in list | Cold and warm B2B prospects |
| Built-in customer data platform (CDP) | Yes | No |
| Omnichannel messaging (email, SMS, etc.) | Yes (email, SMS, RCS, WhatsApp, push) | Yes (email, SMS, phone, LinkedIn) |
| Phone calling / power dialer | No | Yes, built-in power dialer |
| AI content or campaign generation | Yes (K:AI Marketing Agent) | Yes (AI Agents write and adjust cadences) |
| AI call coaching | No | Yes, on Plus tier |
| CRM sync | Native integrations, not CRM-sync dependent | Yes, HubSpot, Salesforce, Pipedrive, and others |
| MCP / external AI data access | Yes, native MCP server | No |
| Free forever tier | Yes (up to 250 profiles) | No |
| Pricing model | By active profile count | Per user, per month |
Which should you choose?
The honest answer here is that most teams evaluating this pair have mismatched the tool to the job, not found a genuine tradeoff. Klaviyo has no phone calling, no LinkedIn steps, and no concept of a "cold" prospect; every feature assumes a customer relationship already exists. Klenty has no CDP, no SMS-as-a-marketing-channel in the eCommerce sense, and no purchase or browsing data to segment on. If you are choosing between them for the same list of contacts, one of the two is going to be the wrong tool regardless of which you pick, because they were not built to compete with each other.
Bottom line
Use Klaviyo if the people you are messaging are already customers and you want their purchase and browsing behavior driving email, SMS, and push automatically. Use Klenty if the people you are messaging have never bought anything and your reps need calls, LinkedIn, and email working together in one cadence with AI call coaching. If your business genuinely needs both, running Klaviyo for post-purchase lifecycle and Klenty for outbound sales prospecting side by side is the normal setup, not a sign you picked the wrong one.
Frequently asked questions
Are Klaviyo and Klenty actually competitors?
No, they are not real competitors despite the similar names. Klaviyo is a B2C marketing platform for automating email, SMS, and push to existing customers using purchase and behavioral data, while Klenty is a B2B sales engagement platform for cold outbound prospecting with email, calls, and LinkedIn. A team would only need to choose between them if it had mismatched the tool to the use case.
Does Klaviyo have calling or dialer features like Klenty?
No, Klaviyo has no phone calling functionality of any kind, no power dialer, and no click-to-call. Klenty is built specifically around outbound calling, with a built-in power dialer, automated voicemail detection, and AI call coaching that analyzes recorded calls for sales managers.
Can Klenty replace Klaviyo for eCommerce email marketing?
No, Klenty cannot replace Klaviyo for eCommerce email marketing because it has no customer data platform, no purchase or cart data integration, and no eCommerce-specific segmentation. Klenty is built for B2B prospecting cadences, not for automating lifecycle emails to a store's existing customer base.
Why does Klaviyo have a free plan and Klenty does not?
Klaviyo's free plan, covering up to 250 profiles, works because the platform scales pricing by list size and can afford to let very small stores in at no cost while they grow. Klenty prices per user rather than by contact volume, and its calling and multi-channel infrastructure is built for teams already running active outbound programs, so it requires a sales demo instead of a self-serve free tier.
How does pricing compare between Klaviyo and Klenty?
Klaviyo prices by active profile count, starting free for up to 250 profiles and scaling to roughly $20 to $35 per month as your list grows before hitting custom Enterprise pricing. Klenty prices per user per month, from $50 on Starter to $99 on Plus, so cost scales with sales headcount rather than contact list size, and the two pricing models are not directly comparable without knowing your list size and team size.
Does either tool integrate AI data access for external tools like Claude or ChatGPT?
Klaviyo ships a native MCP server that exposes customer data, segments, and campaign metrics directly to AI tools like Claude and ChatGPT on all plans. Klenty has no equivalent MCP or external AI data-access layer; its AI features (AI Agents and AI call coaching) operate inside the platform itself rather than exposing data outward.

