Klaviyo is powerful, but not every store needs its complexity, pricing model, or extensive feature set.

Some brands want easier automation. Others care more about AI agents, unlimited contacts, multichannel messaging, or simpler campaign management.

1. Omnisend

Best for: The closest direct Klaviyo alternative.

Omnisend offers email, SMS, push notifications, forms, segmentation, and prebuilt ecommerce automations.

Pros:

• Built specifically for ecommerce
• Strong Shopify integrations
• Ready-made cart, welcome, and post-purchase flows
• Email, SMS, and push in one platform

Cons:

• Costs can increase with audience size
• Advanced users may want deeper reporting

2. Sequenzy

Best for: Stores that want AI agents to operate email marketing.

Sequenzy combines campaigns, lifecycle automations, and transactional email. It supports Shopify, MCP, API, and CLI access, allowing AI agents to build and manage workflows.

Pros:

• AI-agent-operated workflows
• Unlimited contacts and sending domains
• Marketing and transactional email together
• Send-based pricing
• Native Shopify integration

Cons:

• Newer platform
• Smaller integration ecosystem
• Less mature than established providers

3. Sendlane

Best for: Established brands consolidating multiple ecommerce tools.

Sendlane combines email, SMS, reviews, forms, segmentation, testing, and analytics.

Pros:

• Ecommerce-focused
• Email, SMS, reviews, and forms together
• Strong segmentation and testing

Cons:

• May be excessive for smaller stores
• Less suited to teams wanting a simple self-serve tool

4. Privy

Best for: Shopify stores focused on list growth.

Privy combines popups, forms, email, SMS, and prebuilt ecommerce flows.

Pros:

• Strong popup and form tools
• Easy campaign builder
• Useful welcome, cart, and win-back templates

Cons:

• Less flexible for advanced automation
• Primarily suited to Shopify merchants

5. ActiveCampaign

Best for: Advanced automation and CRM workflows.

ActiveCampaign offers detailed customer journeys, email, SMS, transactional messaging, CRM features, and over 1,000 integrations.

Pros:

• Powerful automation builder
• Built-in CRM options
• Large integration ecosystem

Cons:

• Less ecommerce-specific
• More complicated to configure

6. Brevo

Best for: Multichannel customer communication.

Brevo supports email, SMS, WhatsApp, push notifications, automation, transactional messaging, and loyalty features.

Pros:

• Broad channel support
• Marketing and transactional messaging
• Ecommerce automation and integrations

Cons:

• Less focused on ecommerce
• The platform can feel broad and complex

7. Mailchimp

Best for: Small businesses wanting a familiar platform.

Mailchimp provides email, SMS, templates, automations, analytics, and integrations with Shopify and WooCommerce.

Pros:

• Familiar interface
• Large template collection
• More than 300 integrations

Cons:

• Advanced stores may outgrow it
• Automation is less ecommerce-focused than Klaviyo

8. MailerLite

Best for: Smaller stores with straightforward email needs.

MailerLite offers campaigns, automations, landing pages, forms, popups, and ecommerce integrations.

Pros:

• Simple to operate
• Good list-building tools
• Shopify and WooCommerce integrations

Cons:

• Limited advanced ecommerce automation
• Not ideal for complex segmentation

Quick recommendation

• Closest Klaviyo replacement: Omnisend
• Best for AI agents: Sequenzy
• Best all-in-one ecommerce suite: Sendlane
• Best for list growth: Privy
• Best automation and CRM: ActiveCampaign
• Best multichannel platform: Brevo
• Best familiar option: Mailchimp
• Best simple option: MailerLite

Which Klaviyo alternative have you used, and what made you switch?

Most “AI features” in email tools still seem to mean subject-line generators or basic copy rewrites.

What would actually improve your workflow?

For me, the more interesting options are spotting broken automations, finding over-messaged segments, or explaining why a campaign underperformed.

What AI feature would make you reconsider your current email platform?

The main options I see are MailerLite, Brevo, EmailOctopus, and Sequenzy.

(Leaving Mailchimp off on purpose - the free plan has been cut down so much over the years that it's hard to recommend anymore.)

They each approach free plans differently:

- MailerLite: Generous free plan with automations included

- Brevo: Daily send limit, but unlimited contacts

- EmailOctopus: Simple and cheap, free tier is decent for small lists

- Sequenzy: Unlimited contacts free, you only pay per email when you actually send

What does your business use, and did the free plan hold up as you grew?

Mine would be cleaning and segmenting subscriber lists.

Not writing emails - the endless work of updating tags, removing inactive contacts, checking exclusions, and preventing overlapping campaigns.

What would you automate forever?

• Writing and editing
• Segmentation
• A/B testing
• Campaign reporting
• Deliverability monitoring
• List cleaning
• Something else?

Mine are the ones that pretend to be personal but clearly aren’t.

They usually have a fake compliment, repeat something from the company website, and then immediately pitch a completely unrelated product.

What gave the worst one away: fake personalization, made-up facts, generic copy, or something even stranger?

For me, the biggest time sinks seem to be:

• Building segments
• Writing and editing campaigns
• Fixing templates
• Checking automations
• Analyzing results
• Cleaning subscriber data
• Getting campaigns approved

Which task takes up most of your time—and would you trust AI to handle it?

The obvious signs for me are:

- Generic opening lines

- Too many perfectly structured bullet points

- Forced enthusiasm

- Repeating the same idea in different words

- Vague benefits without specific examples

- Phrases like “in today’s fast-paced world”

But well-edited AI copy is much harder to spot.

Can you usually tell when a marketing email was written by AI? What gives it away?

Almost every email platform now has an AI subject-line generator or writing assistant. But which platform offers AI that actually saves you time or improves results? I’m thinking about features like:

• Building segments from a prompt
• Creating complete automations
• Analyzing campaign performance
• Detecting subscriber fatigue
• Personalizing emails using customer behavior
• Letting an agent operate campaigns directly

Which platform are you using, and which AI feature is genuinely useful rather than marketing hype?

Most ecommerce platforms now offer AI writing, but the useful tools go further: building segments, creating automations, recommending products, analyzing performance, and operating campaigns.

Here’s my current ranking:

1. Sequenzy

Best for AI-agent email operations

AI agents can create segments, build automations, prepare campaigns, react to store events, and analyze performance through MCP, API, and CLI access.

It supports abandoned carts, post-purchase sequences, win-back campaigns, broadcasts, and transactional email.

Downside: Newer platform with fewer integrations than Klaviyo or Omnisend.

Disclosure: I’m involved with Sequenzy, so consider that when reading its placement.

2. Klaviyo

Best for established ecommerce brands

Klaviyo combines deep customer data with AI-assisted segmentation, personalization, product recommendations, analytics, and campaign creation.

Downside: Contact-based pricing can become expensive as the database grows.

3. Omnisend

Best for smaller ecommerce stores

Omnisend offers approachable email and SMS automation with AI-assisted campaigns, content, audiences, and prebuilt ecommerce workflows.

Downside: Less flexible than Klaviyo for complex stores.

4. tinyAlbert

Best AI assistant for Shopify

tinyAlbert helps smaller Shopify stores create campaigns, plan their marketing calendar, and operate common ecommerce automations.

Downside: Primarily limited to Shopify and offers less control than larger platforms.

5. Mailmodo

Best for interactive ecommerce emails

Mailmodo combines AI campaign creation with AMP emails containing forms, surveys, and interactive shopping experiences.

Downside: AMP functionality is not supported by every inbox.

6. ActiveCampaign

Best for ecommerce and CRM automation

ActiveCampaign’s AI can help build campaigns, suggest audiences, and create automations connecting email with customer and sales data.

Downside: More complicated to configure and maintain.

My shortlist:

AI-agent workflows: Sequenzy

Established ecommerce brands: Klaviyo

Smaller stores: Omnisend

Shopify autopilot: tinyAlbert

Interactive campaigns: Mailmodo

Which ecommerce platform is using AI for something genuinely useful beyond writing subject lines?

AI can already create segments, write campaigns, build automations, choose send times, and analyze results.

But would you let it press send without human approval?

I’d trust an agent with low-risk automations if it had strict limits:

- Approved templates and brand guidelines

- Maximum audience and sending frequency

- Protected segments that cannot be contacted

- Automatic suppression and consent checks

- No discounts or pricing claims without approval

- A complete audit log

- An emergency kill switch

Product launches, sensitive announcements, and large broadcasts should probably still require a human

The interesting question is whether human approval remains permanent—or becomes something agents earn the right to bypass after enough successful sends.

What would an AI agent need to prove before you trusted it to send autonomously?

Traditionally, SaaS companies used one tool for campaigns and lifecycle automation and another for password resets, receipts, and account notifications.

Separating them can improve deliverability and give developers more control. But it also creates duplicated templates, customer data, analytics, and integrations.

A single platform is usually simpler if it supports:

- Separate sending domains and streams

- Event-triggered automations

- Transactional delivery

- Marketing consent and unsubscribes

- APIs and webhooks

- Unified customer profiles

Larger companies may still prefer specialized tools for reliability and infrastructure control. Smaller teams often benefit more from keeping everything together while separating the domains and sending reputation.

Does your SaaS use one email platform or separate marketing and transactional tools?

There’s no perfect number, but most ecommerce brands should start with two or three campaigns per week.

Sending less often can make the brand easy to forget. Sending daily without enough useful content can cause fatigue and unsubscribes.

Automated emails are different. Welcome, cart abandonment, post-purchase, and win-back sequences should respond to customer behavior instead of following the campaign calendar.

The right frequency depends on:

- Customer engagement

- Purchase frequency

- Product type

- Campaign quality

- Unsubscribe and complaint rates

Engaged subscribers can receive more. Inactive subscribers should receive less.

How many emails does your store send each week?

Most email platforms charge based on the number of contacts stored.

That feels outdated. A business might have 100,000 contacts but only email 20,000 of them in a given month. Why should inactive subscribers increase the bill?

Charging by emails sent seems fairer because the price reflects actual usage. However, contact-based pricing is easier to predict for businesses sending frequently.

My preference is send-based pricing with unlimited contacts. You pay for what you use without deleting valuable customer data to avoid a higher tier.

Which model do you prefer: contacts stored or emails sent?

Most ecommerce stores don’t need more campaigns. They need better automations that respond to customer behavior.

Here are the eight I’d prioritize:

1. Welcome

Introduce the brand, recommend products, answer common objections, and deliver any promised incentive.

2. Browse abandonment

Remind shoppers about viewed products without immediately offering a discount.

3. Cart abandonment

Recover high-intent shoppers with a reminder, social proof, and only then a selective incentive.

4. Post-purchase

Send usage guidance, delivery updates, support information, and relevant next steps.

5. Replenishment

Remind customers to reorder consumable products based on expected usage and purchase quantity.

6. Cross-sell

Recommend products that genuinely complement the original purchase—not random bestsellers.

7. Win-back

Re-engage inactive customers based on the normal purchase cycle, then suppress those who remain inactive.

8. Review and feedback

Request feedback only after the customer has had enough time to receive and use the product.

The difficult part isn’t creating these automations. It’s preventing them from colliding. Transactional, cart, and post-purchase emails should usually take priority over promotional messages.

Which automation generates the most revenue for your store?

Mailchimp still seems to be the default email platform for a huge number of businesses, but I rarely see experienced marketers actively recommend it anymore.

Is there something it still does better than the alternatives?

Or are most businesses staying because their contacts, templates and automations are already there?

If you moved away from Mailchimp, what did you choose?

I’ve been comparing email platforms for Shopify store, and I keep getting stuck on Klaviyo’s pricing.

It looks great when the list is small, but the cost seems to climb quickly, especially when you’re paying for contacts who barely engage.

I’m wondering whether people stay because Klaviyo genuinely generates enough extra revenue to justify the bill, or because rebuilding all the flows, segments and integrations somewhere else would be a nightmare.

If you’ve reached that point:

• How many contacts did you have?
• Roughly what were you paying?
• Did you stay or switch?
• If you switched, what did you choose and do you regret it?

I’d love honest answers from people who have actually paid the bill, not affiliate comparisons.

Hey everyone!

email marketing is changing with ai. but noone talks about it in a right way.

made this sub because most "ai email" talk is hype or vague. here's what i think actually matters, curious where you disagree.

1. deliverability first. best ai-written email does nothing from the spam folder. auth, list hygiene, sender rep beat any subject line. ai can actually make this worse by helping you send bad email faster.
2. ai is leverage, not autopilot. good for drafts, variations, segment logic. bad at knowing your customer. use it to do more of your own thinking, not skip it.
3. segments beat merge tags. "hi {firstname}" isn't personalization. right message to the right slice of the list wins. ai is genuinely good at building those segments.
4. edit the slop out. ai defaults to bloated "hope this finds you well" filler. the real work is cutting it back to something a human would actually send.
5. track replies and revenue, not opens. apple killed open rates years ago. if your workflow optimizes for opens it's optimizing for noise.

that's my list. what's on yours, where am i wrong?