u/polnikale

Browse abandonment emails are usually one of the best-performing automations an ecommerce brand runs. They're also the ones I see customers complain about most, e.g. "How do they know I looked at that?"

I'm trying to figure out where the line between helpful and creepy actually is. A few things that seem to matter:

• Timing. An email an hour later feels like being watched. One the next day feels more like a reminder. Has anyone tested this?
• How specific to be. Do you show the exact product they viewed, or the category ("Still thinking about running shoes?"), or bestsellers? Which works better?
• How much it admits. "We noticed you were looking at…" feels creepy. "Still on your mind?" seems more subtle. Does the wording actually affect unsubscribes or complaints?
• Who gets it. Do you only send it to people who have engaged or bought before, or to every known subscriber who views a product? Do you add rules like "viewed at least twice" or "spent more than 30 seconds on the page"?
• Overlap. How do you stop it clashing with abandoned cart emails, a campaign that went out the same day, or the welcome flow?
• Discounts. Do you ever include an offer, or does that just teach people to browse and wait?

If you're running one:

1. What triggers it, and how long do you wait?
2. Product-specific or general?
3. Have you seen any backlash (replies, complaints, unsubscribes), and did changing the wording help?

And from the customer side: have you ever received one of these that felt off? What made it feel creepy?

Every ESP migration guide says the same things: warm up your domain, export your lists, rebuild your flows. Then people move and their open and click rates still drop for a few weeks.

I'd like to hear what actually went wrong, not what the checklist said. A few places I suspect things break:

• Warmup. Did you send a lot from the new platform on day one, or ramp up slowly? If you were moving from a shared IP to a dedicated one (or back), did that change things?
• Authentication handoff. Did you have SPF, DKIM or DMARC records from the old ESP still in place, or a sending subdomain that didn't match? Did anything break in the gap between switching and fixing DNS?
• Suppression lists. Did your unsubscribes, hard bounces and spam complainers actually come across? Or did you find out the hard way when you emailed people who had already opted out?
• Engagement history. Your "engaged in the last 90 days" segments on the old platform depend on its event data. Did you start sending to everyone on the new platform because the new one didn't have that history?
• Flows. Did anything get double-sent or skipped during the cutover, like people getting two welcome emails or abandoned-cart emails firing for orders that were already placed?
• Things you didn't think to check. Link tracking domains, image hosting, preference center URLs, or old forms still pointing to the old platform.

If you've migrated:

1. Which platform did you move from and to, and roughly how big was your list?
2. What broke, and how long did it take you to notice?
3. What would you do differently next time?

If you're planning a migration right now, add what you're most worried about, and maybe someone who has already done it can answer.

For years, open rate was treated like the scoreboard for email.

But an “open” does not necessarily mean someone read the email, understood the offer, or even intended to click. It can be affected by privacy features, image loading, and automated scans.

The metric I trust more is revenue per recipient.

It answers a much simpler question:

“How much value did this email generate for the people we sent it to?”

I also look at:

• Click-to-purchase rate
• Conversion rate per recipient
• Unsubscribe rate
• Repeat purchases after the send
• Replies or other meaningful actions

A campaign with a 45% open rate and no sales is not automatically better than one with a 25% open rate that produces actual customers.

Open rates are still useful as a directional signal, but I would not optimize an entire email program around them.

What metric do you trust most when evaluating a campaign?

Loops is a solid pick for simple SaaS lifecycle email. People usually start looking elsewhere when they need more complex logic, more control over transactional sends, or a different pricing model as their contact list grows.

1. Sequenzy. Best for SaaS and ecommerce teams that want AI agents to run their email.
   Lifecycle, campaigns and transactional email in one place, with MCP/API/CLI access so an agent can build and send flows. Pricing is based on sends rather than contacts.
   Limitation: it's newer, so the integration ecosystem is smaller than the big players'.

2. Customer.io. Best for technical teams with lots of event data.
   Very flexible event-driven segmentation and journeys.
   Limitation: more setup and a steeper learning curve than Loops.

3. Userlist. Best for B2B SaaS with company-level accounts.
   Understands users and the companies they belong to, which Loops-style tools often don't.
   Limitation: narrower focus outside B2B SaaS.

4. Encharge. Best for SaaS teams that want a visual flow builder.
   Behavior-based automations with a friendly UI.
   Limitation: smaller community and fewer resources.

5. Bento. Best for indie SaaS that wants marketing and transactional email with a dev-friendly API.
   Limitation: less polished for non-technical marketers.

6. Brevo. Best for budget-conscious teams that also want SMS or other channels.
   Limitation: lifecycle logic feels less SaaS-native.

Quick rule of thumb: simple SaaS onboarding, stay on Loops. Heavy event logic, Customer.io. B2B accounts, Userlist. Want agents running it, Sequenzy.

If you moved off Loops, what made you switch, and where did you end up?

Most "best email platform" lists are written for brands that already do eight figures and have an agency. Under $1M in revenue the problem is different. The budget is small, a founder or one marketer runs email, and the list is often much bigger than the number of people who actually buy.

I compared the main options on what matters at this stage:

• How well it syncs with Shopify (orders, catalog, browse and cart events)
• Whether the core flows are easy to set up: welcome, abandoned cart, browse abandonment, post-purchase and win-back
• How the pricing grows: by contacts or by emails sent
• How much setup it takes before it earns money

1. Klaviyo

Best if you're scaling fast and want the standard tool

The most complete ecommerce email platform, with deep Shopify data, strong segmentation and a huge ecosystem of templates, agencies and integrations. The free plan covers 250 active profiles and 500 sends a month. After that the price grows with your active profiles.

• Pros: best-in-class Shopify data, mature flows, easy to hire help for
• Cons: cost climbs as your list grows, even when most of the list doesn't buy, and it's more platform than many small stores use

2. Sequenzy

Best for lean teams with big lists or AI-agent workflows

It's priced by emails sent, not contacts, with unlimited contacts on every plan. There's a free tier of 2,500 emails a month, and paid plans start at $19/mo. The Shopify app syncs products, customers and orders. It also covers browse abandonment, cart recovery, back-in-stock, price-drop, replenishment, shipping updates and dynamic discount codes. You can run it from Claude, ChatGPT or another agent through MCP, API or CLI, so an agent can build segments and flows for you.

• Pros: you don't pay for contacts who never buy, it handles marketing and transactional email in one place, and it's built for agents
• Cons: it's newer, with a much smaller ecosystem of agencies and integrations than Klaviyo, and SMS is still in beta (US/Canada)

3. Omnisend

Best all-around value for small and midsize stores

Email, SMS and web push in one place, with prebuilt ecommerce flows that are quick to launch. The free plan covers 250 contacts and 500 emails. Paid plans are priced by contact count, and Pro adds unlimited emails.

• Pros: easy setup, good prebuilt flows, SMS included
• Cons: still priced by contacts, and segmentation is less deep than Klaviyo

4. Shopify Email (Shopify Messaging)

Best for stores just getting started

It's built into Shopify. Templates pull in your products and branding automatically, and there are ready-made welcome, win-back and upsell automations. Pricing is based on sends.

• Pros: almost no setup, cheap at low volume, native data
• Cons: limited segmentation and reporting, and most stores outgrow it once flows matter

5. Privy

Best if growing the list is your bottleneck

Popups are the core product: spin-to-win, exit intent, quizzes and cart savers. Email and SMS are included. It starts at $30/mo for up to 1,500 mailable contacts, with unlimited sends.

• Pros: strong popups and list growth, simple for small teams
• Cons: email automation is basic compared with Klaviyo or Omnisend

6. Mailchimp

Best if you already know it

It's familiar and easy to use, and the Shopify integration works. Paid plans are based on contacts, with send limits on each tier.

• Pros: easy learning curve, lots of templates
• Cons: the ecommerce flows feel generic next to ecommerce-first tools, and the price adds up as the list grows

7. Brevo

Best on a tight budget, or for multichannel on the cheap

It's priced by emails sent rather than contacts, with low starting plans and email, SMS and WhatsApp in one place.

• Pros: cheap, and doesn't charge for contacts
• Cons: the Shopify-specific features are less polished, and it's built for general marketing more than ecommerce

Quick picks:

• Just launched: Shopify Email
• Need more subscribers: Privy
• Want a solid all-in-one at a fair price: Omnisend
• Big list, low budget, or want AI agents running email: Sequenzy
• Growing fast and want the industry standard: Klaviyo

For store owners under $1M: what are you on, and is the monthly bill worth it compared with the revenue email brings in?

Every double opt-in step loses people. Some never see the confirmation email, some find it in spam days later, and some just can't be bothered to click. Those are people who already typed in their email because they wanted to hear from you.

The usual defense is list quality: no fake signups, fewer spam traps, better deliverability. But most of that can be handled without the extra step. Use a captcha, validate emails at signup, and remove anyone who doesn't engage with the welcome email.

The other side has real arguments too. In some countries, like Germany, double opt-in is close to mandatory in practice. And if you're getting hit by bot signups, single opt-in can wreck your sender reputation fast.

Still, for most brands it looks like a habit carried over from 2012 more than an actual need.

Do you use single or double opt-in? If you switched, what happened to your list growth and deliverability?

This comes up every time someone cleans a list, and it always turns into the same fight.

Camp 1: Cut them. 90 days of silence means they've left. Every send to them hurts your sender reputation, drags down engagement and costs money if you pay per contact. Keep the list small and clean.

Camp 2: Keep emailing. Lots of people read without opening in a trackable way, and some come back and buy months later. Removing them is revenue you'll never see, just to make a dashboard look better.

There's also a problem nobody likes to raise: since Apple Mail Privacy Protection, "hasn't opened" is a shaky signal anyway. Some of your "engaged" subscribers are really a proxy server opening the email, and some of your "inactive" ones might be clicking and buying.

So where do you draw the line? 90 days? 180? A win-back email and then remove them? Or never?

What rule do you actually use, and has it ever cost you a sale or hurt your deliverability?

What’s the Best Email Marketing Platform for Concerts and Festivals?

Mailchimp and ActiveCampaign seem popular, but they weren’t really built around ticket sales and fan data.

For concerts and festivals, the important features are:

- Segmenting fans by artist, city, genre, and attendance history

- Presale campaigns and early-access codes

- Abandoned ticket-checkout emails

- SMS reminders for venue or schedule changes

- Post-event follow-ups

- Promoting similar shows to previous attendees

Event-specific platforms like Hive and Audience Republic seem better suited for this, while ActiveCampaign may be the better general-purpose option.

What are promoters actually using?

Do you prefer a specialized event-marketing platform, or a normal tool like ActiveCampaign, Mailchimp, or Klaviyo?

Klaviyo is still one of the most established email platforms for ecommerce, but its pricing becomes harder to justify as your contact list grows.

The integrations, customer data, segmentation, and automation tools are powerful. But smaller brands may not use enough of that functionality to justify paying based on active profiles.

Alternatives like Omnisend, Sendlane, Brevo, and MailerLite can cover many common ecommerce workflows at a lower cost, depending on the business.

For current or former Klaviyo users: is the platform still worth the price?

At what list size did you start considering an alternative?

Not a tool you simply disliked, but one you would actively warn another business against using.

Maybe it had:

• Surprise pricing increases
• Terrible deliverability
• A confusing automation builder
• Missing integrations
• Unhelpful customer support
• Painful exporting or cancellation

Which email tool would you never recommend, and what happened?

Please share firsthand experiences rather than repeating something you heard.

For me it's probably mailchimp. used to be the goat. but now....

The main options I keep seeing are:

• ActiveCampaign: Powerful workflows, but can become complicated
• Customer.io: Flexible and event-driven, especially for SaaS
• Klaviyo: Strong ecommerce data and automation templates
• Omnisend: Easier to use for smaller ecommerce brands
• HubSpot: Useful when email needs to connect with CRM and sales

Some platforms offer incredible flexibility but require a specialist to operate. Others are easy to use but become limiting when workflows get more advanced.

Which platform has the best balance of power and usability?

What automation builder have you used that you would never go back to?

beehiiv positions itself as the newsletter platform for serious growth, with built-in referrals, analytics, automations, ads, and paid subscriptions.

Substack is simpler and comes with a large discovery network, community features, and an easy way to launch paid content. But it takes a percentage of subscription revenue.

beehiiv appears to offer more tools and control, while Substack may be better at helping writers get discovered.

For people who have used both: did beehiiv actually help you grow faster, or is its own marketing better than the product?

Which one would you choose if starting from zero today?

Mailchimp is still huge, but it no longer feels like the obvious choice for small businesses.

A few possible reasons:

• The free plan shrank to 250 contacts and 500 monthly sends
• Pricing rises with stored contacts, including unsubscribed and non-subscribed contacts
• Useful features are increasingly locked behind higher tiers
• The platform became more complex as it expanded beyond email
• Simpler competitors started serving specific audiences better
• The Intuit acquisition may have shifted priorities from product love toward monetization

Was pricing the main reason people left, or did Mailchimp simply become too complicated for the audience that originally made it popular?

The main options I see are beehiiv, Substack, Kit, Sequenzy, and MailerLite.

They each seem built for a different type of newsletter:

• beehiiv: Strong growth, referral, and monetization features
• Substack: Easy publishing with built-in paid subscriptions
• Kit: Good for creators who need segmentation and automations
• Sequenzy: Unlimited contacts with pricing based on emails sent
• MailerLite: Simple, affordable, and good for straightforward newsletters

Which platform does your newsletter use, and has it remained a good option as your audience grew?

AI can draft a welcome sequence. But someone still has to figure out whether a new user needs a tutorial, a reminder, or no email at all.

The hard part of lifecycle email marketing isn’t always the writing. It’s defining activation, spotting where people get stuck, and making sure emails respond to what customers actually do.

Then there’s measurement. Did that email change someone’s behavior, or take credit for a purchase they were going to make anyway?

My take: AI makes copy cheaper. Knowing what to send, to whom, and why is still the job.

Are you using AI beyond copywriting, for segmentation, triggers, or deciding the next email someone gets?

GPT Astra makes real-time, context-aware AI feel much closer to an active marketing teammate than a basic copy generator.

Could you see yourself using it to:

- Review campaigns visually

- Analyze performance in real time

- Spot broken customer journeys

- Suggest improvements during campaign planning

- Operate email tools through natural conversation

Has GPT Astra changed how you think about email marketing, or does it still feel more impressive than practical?

What would it need to do before you trusted it with a real campaign?

Hermes Agent is an open-source AI agent that can use tools, MCP servers, APIs, scheduled jobs, persistent memory, and reusable skills.

In theory, you could connect it to your email platform and let it:

• Build customer segments
• Draft lifecycle sequences
• Schedule campaigns
• Monitor performance
• Identify broken automations
• Generate weekly reports
• Coordinate specialized marketing agents

Unlike a basic AI copywriter, it can take actions and retain knowledge between sessions.

Would you trust an autonomous agent like Hermes with your email marketing stack?

Which tasks would you automate first, and which ones would always require human approval?

Imagine connecting Grok to your customer data and email platform, then letting it manage campaigns autonomously.

It could:

• Build customer segments
• Write lifecycle emails
• Launch campaigns
• Adjust automations
• Pause underperforming emails
• Respond to performance changes

Would you trust it to send without approval, or would every campaign still need a human review?

What guardrails would you require before giving an AI agent control of your email marketing?

AI can do much more than write email copy.

The most useful lifecycle applications seem to be:

• Building behavioral segments
• Detecting customers at risk of churning
• Choosing the next best message
• Personalizing content and offers
• Finding gaps in existing automations
• Adjusting send times and frequency
• Summarizing campaign performance
• Drafting complete lifecycle sequences

The difficult part is deciding what AI can handle autonomously and what still needs human approval.

How are you using AI across onboarding, activation, retention, and win-back campaigns? Has it produced measurable improvements, or mostly added more complexity?

Some email tools seem to survive on brand recognition rather than product quality.

They may have confusing pricing, clunky automation, limited reporting, or dozens of features that most teams never use.

Which platform do you think gets recommended far more than it deserves?

What did you dislike about it, and which tool did you switch to?