Shopify Issues Effecting Klaviyo

There’s been some intermittent Shopify issues popping up today. Store not found messages happening all over the place. Don’t panic if you see weird errors or messages in Klaviyo today while this is happening.

Just verify whether or not the site is back up and running. If it is, check on your connections. Otherwise, wait it out.

I have a feeling there’s going to be a lot of posts coming into this subreddit today so I thought I’d just try to get ahead of it.

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u/cschneider27 — 25 days ago

New Lightning Owner Here 👋🏼

Hey everybody!

I officially joined the club yesterday and I love it so much. This is my first truck and first EV. 2025 Lightning Flash.

I recently had a ‘23 Bronco Wildtrak, as much as I loved that car I didn’t use it how it should be used nearly enough plus $100+ fill ups were awful. .

What are your go-to accessories?

What about a bed rack? I kept my roof top tent and want to put it on here.

Would love some thoughts from the community!

u/cschneider27 — 1 month ago
▲ 8 r/Klaviyo+1 crossposts

Last night the Cavs won and advanced. I’m a Cavs fan, but my agency also runs email marketing for a fan apparel brand out of Cleveland.

The Cavs official email hit inboxes at 10:37.

Our client had an automated email go out at 10:36 with a 20% off offer tied to the win.

Same moment, completely different outcome:
theirs = informational
ours = revenue-driven

This wasn’t manual. It was triggered based on the game result.

What stood out wasn’t just the automation, it was when the email hit.

Fans are checking their phones right after the final buzzer.

That’s when attention and emotion are highest.

Most brands (even good ones) are:
• sending the next morning
• batching campaigns
• or missing the moment entirely

In this case, even a 1-minute difference meant we were first in the inbox while people were still reacting.

Genuinely curious how others are approaching this:
Are you triggering emails off real-time events? Or mostly sticking to scheduled sends / Smart Send Time?

Have you seen timing alone materially impact performance?

Feels like timing is one of the most underutilized levers in Klaviyo for most brands.

u/cschneider27 — 2 months ago

Some of you in this space may or may not have e-commerce businesses that sell sports apparel. You know how demanding and challenging sports schedules are if/when you’re trying to market around the outcome of a game.

For those that don’t, or maybe you don’t realize how much revenue you’re siting on during these moments…welcome in.

The concept started when we were running email marketing for a local fan apparel shop. Through testing we quickly picked up that the best time to email the list is right after a win. The fans are excited and emotional after games their teams win.

But let’s get back to those demanding schedules again:

• nights
• weekends
• holidays
• overtime / extra innings
• time zone differences
• double headers

All times when a sports fan likes to watch the game. Also times that are hard to keep up with for the fan apparel shops.

But fan apparel shop owners are sports fans too! So they should be able to enjoy the game and not worry about producing marketing comms during it.

So I automated this process for online shops running Klaviyo.

When your team wins, an email is triggered to a specific segment within 5 minutes of a game ending (and the result going your way).

That’s it. It’s simple and incredibly effective.

Our data shows that we’ve reached as high as an 80% open rate on these emails before.

All without the fan apparel shops having to lift a finger.

Checkout my website to learn more:

https://getfinalscore.com

u/cschneider27 — 2 months ago

Seeing a trend with brands that are using apps that are ai-driven Klaviyo tools.

I’ve been looking at a few accounts recently where AI-generated flows were tested against more traditional setups.

Here's a few things that stood out to me:

  • Welcome series performance dropped
  • Abandonment flows performance dropped
  • Post-purchase dropped

The core revenue driving flows didn't improve in any capacity.

Don't get me wrong, I'm not anti-Ai, I test various tools all the time. But here's one thing I've seen over and over:

Ai tools can generate a ton of emails quickly. But at what cost? Its kind of reminding me of when a bunch of ai Facebook ads tools came out (even the Meta tools themselves) where they just generate 7500 versions - surely if you throw enough spaghetti against the wall, some will indeed stick.

Flows are more than just firing off a sh*t ton of emails and hoping a few land. Timing, buyer psychology, intent signals, sequencing. All of these things matter and all of these things help drive revenue.

Sometimes Ai is just speeding up the wrong parts.

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u/cschneider27 — 2 months ago

Most brands that I’ve audited have a strategy problem. We’ve all been there, you launch one thing, get busy, forget to support it, launch another and then before you know it - you have 3 of the same flow triggers running at once.

Or maybe you launched your flows month ago and haven’t looked at them since.

Or you launched flows but never supported them with campaigns on a steady basis.

All common things, all things I’ve seen when auditing and rebuilding e-commerce flows.

There are a few issues that arise consistently:

• The pop-up or list acquisition strategy is bad. A basic offer with basic creative that was launched and never tested.

• Welcome flow pushing discounts over brand.
— this is a big one. Throwing 10% or 20% off just to convert first time customers, but then they only want to come back when there is a juicy offer.
— Your welcome flow should help someone understand the brand, the best sellers, the proof, the offer (if you decide to still have one), and why they should buy now.

• Product heavy emails
— “here’s our product we made, buy it” is what most of the flows feel like.
— The best flows usually answer objections, show use cases, build trust, and make the purchase feel obvious.

• No segmentation (or bad segmentation)
— New customer vs repeat customer, engaged vs unengaged, recently engaged or cooling?
— Segmentation helps understand behavior and allows you to make better decisions and launch smarter flows.

The fix usually isn’t some crazy advanced setup.

It’s making sure each flow has a real job.

Welcome flow = convert new subscribers
Browse/cart/checkout = recover high-intent shoppers
Post-purchase = increase satisfaction and repeat purchase
Winback = bring people back without destroying margin

If your flows are only a few emails deep and mostly say “buy this,” there’s probably a lot of money sitting there.

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u/cschneider27 — 2 months ago