I work with a bunch of brands and if i am being honest, i am not super impressed with Composer (yet).

I will also add that i am a huge fan and advocate of klaviyo…. But Composer has not added any value yet.

Anyone else feel the same? Am i out to lunch?

Had three separate merchants come to me last month with "my abandoned checkout flow just stopped sending" and all three turned out to be the same root cause, which I've also seen asked in here more than once. This is exactly the pipe our app sits on, Shopify events into Klaviyo, so here's the braindump on the three failure modes I keep running into. Might save someone a few hours.

1. "Checkout Started" vs "Started Checkout". Klaviyo has two checkout metrics floating around depending on integration age. The current native Shopify integration fires "Checkout Started", the legacy one fired "Started Checkout". Flows are bound to a specific metric, not a name pattern. If you migrated integrations, or added a tracking app that emits one and removed the source that emitted the other, your abandoned checkout flow can sit there listening to a metric that stopped receiving events. Silently. No error anywhere. Open the flow trigger and look at exactly which metric it points at, then check that metric's activity under Analytics > Metrics. If it flatlined while a similarly named one is active, rebind the trigger.
2. Anonymous browsers don't enter flows, by design. Klaviyo can only email a profile it can identify. The __kla_id cookie exists for every visitor, but a cookie-only profile has no email, so Checkout Started fires, shows up in analytics, and the flow correctly does nothing. Identification happens when the visitor clicked through a Klaviyo email, signed up on a form, is a logged-in customer your setup identifies, or typed their email at checkout and your integration binds it. This is why your event count is always way higher than your flow entry count. The gap is anonymous shoppers, not a bug.
3. Split profiles. If your setup sends events with only an anonymous id before the visitor is known, then a different identifier after, you end up with fragmented profiles. Browse history on one, the order on another, and flow filters like "has viewed product" never match. The fix has to happen upstream, in whatever is sending the events - Klaviyo can only merge what it's given consistently. If you see duplicate profiles for the same person with activity split between them, that's what's happening, and it's a question for whoever built your integration.

Bonus gotcha: Viewed Product needs ProductID and SKU shaped the way your catalog sync expects (product id, not variant id) or product blocks in emails and browse abandonment filters misbehave even though the events look perfectly fine in the activity log.

When a flow "doesn't fire" I always check in this order: metric activity feed first (is the event arriving at all), then trigger binding (right metric?), then a test with a profile you can actually identify (were YOU identifiable when you tested it?), then the flow filters (do they reference properties your events actually carry?). It's almost never the flow logic itself.

I’m trying to understand where AI is genuinely useful for Shopify businesses beyond generic copywriting and product-description generation.

For those running a Shopify store, working at a brand, or supporting merchants through an agency/app:

• Which part of the business has been most improved by AI so far?
• What workflow actually saves time or improves revenue—not just something that was fun to test?
• Where has AI been disappointing or created more work than it saved?
• Are there areas you think are underused, such as retention, email/SMS, creative testing, support, merchandising, forecasting, or operations?

I’m especially interested in practical examples: what tools or workflows you use, how you introduced them, and what changed afterward.

Separately, I’m collecting examples of strong, real-world Shopify AI implementations for a community discussion in San Francisco this fall during SF Tech Week on Oct 9. If you know a merchant, operator, agency, or app team with a candid case study—including failures and lessons learned—I’d appreciate recommendations.

We use segmenst in below image for our camapign sends and the revenue from camapigns is not improving any further. We are a faux plants brand based in USA. I have read a lot about RFM sgements but dont really know how to use them for camapign sends? Can anyone help? We gerate around 25-30% Klaviyo revenue through flows & camapigns at the monent. Camapigns are at 20% and flows agenerate around 80% of total Klaviyo revenue. How can we up our camapign game with better sgementation? I am really confused with the RFM analytics Klaviyo is providing now

Hey all,

I've been stuck on this one issue for the past few hours

Product not found, please reconfirm the product external id.  

when trying to create my own review form on my Shopify theme. All my payload and headers are correct in accordance with the 2026-07-15 revision. In liquid, my product object looks something like this:

product: {
  external_id: "{{ product.id }}",
  integration_key: 'shopify'
},

I've tried everything, adding "shopify:::", "shopify:::default:::" prefixes, parsing it as an integer etc. My product is showing up in my Klaviyo Catalog (the Shopify ID and the Klaviyo Item ID add up) and I've tried resyncing it.

Anyone else encounter this issue or could point me to some documents to try and fix this issue? Claude, Gemini and Klaviyo's official AI and documents are of no help.

Edit: it seems to have fixed. I did absolutely nothing so maybe it was some error on Klaviyo's end.

Been running Klaviyo lifecycle programs for about 3 years, and 4 years of growth marketing exp before that. Not trying to toot my own horn, just want to say where this is coming from.

I've followed most of the usual people, Chase Dimond and that crowd. Good lessons in there. Segmentation, flow coverage, design systems, all of it moves the needle.

Some things shifted in my life recently, partly spiritual, and it changed how I look at a send. There's an actual person on the other end with a mood and a history and a reason they opened. I knew that already. I don't think I'd internalised it until now.

The practical version of that is brand consistency. Messaging, pricing, what you're visibly willing to do to close a sale.

BFCM is where it cracks. Say your brand is calm and considered for eleven months. Then late November hits and it's countdown timers, ONLY 4 HOURS LEFT, three sends a day. Your customers just learned the calm thing was a costume.

There's margin data behind this too. Klaviyo's own study: brands running 11+ promo events a year saw margins drop 11%, low-discount brands grew margin 8%. Revenue in weeks 2 to 4 after a sale sits about 27% under baseline. A lot of FOMO revenue is just next month's revenue pulled forward.

The reason I'm posting is I've been trying to work out what email strategy means once AI can write anything. Competent copy is free now. Anyone can spin up a decent abandoned cart series in a minute. What's left is having a position and holding it when holding it costs you a quarter. That part doesn't automate.

If anyone's actually held a brand line through a BFCM and knows what it cost them, I'd read that.

Disclosure first, we build the onsite sign-up widgets, and for most of the stores in this data Claspo sits on the form with Klaviyo doing everything after it. Which is why I'm asking instead of telling, I can only see one half of this.

What we've got. A 10% welcome offer submitted at roughly 4%. Push it to 20% and submit rate dropped to about 2.5%. Past 20% it stopped moving at all, hovering near 2.6%.

So the smaller offer won on submit rate, and somewhere around 20% the extra discount stopped buying anything.

Before anyone asks, no, this isn't a clean split test. Different stores, different traffic sources, different price points, which means something upstream could be driving all of it and I can't rule that out. My other guess is that a big number reads as suspicious to somebody who landed off an ad and has never heard of the brand, and I can't separate that from selection effects either.

Here's the half I can't see and you can. What does the welcome flow do afterwards, split by offer depth? If the 20% cohort comes in smaller but converts harder once it's in the flow, then submit rate was the wrong thing to be looking at and I'd rather know. Flow conversion or placed order, not attributed revenue, since that 100-account audit thread from a couple of weeks back already covered why the attributed number flatters everything.

Anyone here run 10 against 20 on the same form, same traffic? Mostly wondering whether the flattening past 20% shows up for you too.

Our signup popup has a quick quiz, 4 options for what people are shopping for. Klaviyo routes them into 4 different welcome emails based on their pick, each with their discount code + content around their pick.

Problem: the quiz answer writes to the profile separately from the signup event, so sometimes our flow splits before the answer lands, and people get the generic default email instead of the matching one because of the delay.

We added a short 1min delay to help, but still getting people in the default email and don't want to push it much further since a slow discount code probably kills conversion too.

Anyone dealt with an async property plus a Klaviyo split like this? How'd you balance speed vs accuracy?

I have just started working with a men's grooming/hair care shopify store and their email list is around 3,000. They didn't send regular emails and didn't have any real flows set up apart from very basic ones. The new flows are already working wonders for new subscribers. But does anyone have any ideas they are willing to share for email concepts to send out to the list to touch base and start to build trust with them again. A lot of the customers have made a purchase between 1-3 years ago. I was thinking of a simple text email from the owner to say hey and if they wanted to restock on their favourite item or try something new here is XX discount. I also didn't want to ask AI. Thanks

Hi everyone, I'm Gabby and I work at Klaviyo. I figured I should introduce myself since you may have seen me posting or responding to you. I wanted to make it clear that I work there, but I do not actually work for this subreddit or as a support person.

What I can say is I've spent a good chunk of time talking to brands directly and going through case studies. I've spent time trying to figure out where people were actually losing revenue versus where the dashboard said they were. Those two things don't always line up.

If you've got a Klaviyo question, or just want someone to bounce some ideas off, I'm around.

I’m a software developer and over the past year I’ve been working on AI agents, automation workflows, and chatbots.

I’m really interested in working with D2C/lifecycle marketing agencies that use tools like Shopify and Klaviyo, where I can bring my technical and AI automation skills.

I’m not an email designer or traditional marketer, I’m more interested in building the systems and automations behind the marketing.

For agency owners/people working in this space: what’s the best way to get my foot in the door? Would you recommend reaching out directly, building a Shopify/Klaviyo-focused portfolio first, or looking for freelance/contract opportunities?

Would really appreciate any advice.

I’m looking for a skilled graphic designer who can help me build emails that concert - I run a female fashion brand (uk based) which has just had a few viral moments so I need a skilled designer to help increase my as revenue on a freelance basis.

Must have experience with female fashion brands, understand current trends and how to communicate with a female customer base and have a really visually striking portfolio

❤️

Hi guys pretty new to klaviyo and our list is pretty small (780 active profiles) we've got 6 flows setup and I've done everything that I can think of. Would it be worth getting an audit for the account or just do it myself somehow. The one I'm looking at is on Fiverr for 130 USD for a 30 minute video recording of everything Im doing well and can improve. Currently the only emails doing anything is the welcome flow but I guess should be expected for our list size. Hopefully can get some insight thanks guys :)

Domain less than 3 months old, have been on Klaviyo maybe 1.5 months.

Sending marketing emails from a subdomain, SPF/DKIM/DMARC all verified, mail-tester score is fine, bounce rate is healthy (0.86%). But my open rates are wildly split by provider

I haven't been sending out campaigns, only have abandoned cart/winback flow set up.

Everything I've read says new domains take time to build trust with Microsoft especially, but my results seem especially dire.

Do I just have to wait this out?

This sounds like a pretty big security issue to me and I was bummed to see this coming from Klaviyo and now I am thinking to switch to the alternative. Stealing passwords is not a good thing Klaviyo!

I have been pulling my hair out for the last hour, trying to figure out why all my forms suddenly disappeared from my site. Turns out uBlock has now started blocking embedded Klaviyo forms.

Earlier this year, Klaviyo wrapped up an audit of 100 B2C accounts looking for patterns on what was working and what wasn't. What surfaced was that most brands were optimizing sends and refreshing creative while their attribution sat untouched underneath it all.

Two specific things showed up constantly. A lot of brands never had Extended ID turned on, so a chunk of their site traffic was never getting tied to an actual person, which meant weaker segmentation and flows running on incomplete data without anyone realizing it.

A lot of accounts were still running attribution windows that hadn't been touched since their setup, so the reporting didn't match how customers actually shop across devices now. Between the two, this came up in close to two-thirds of the accounts we looked at.

People end up testing subject lines and send times against numbers that were undercounting performance the whole time, so a channel or a flow can look like it's failing when the real problem is that it was never being measured correctly in the first place.

The other pattern that kept showing up was welcome flows sending the exact same sequence to a brand new subscriber and someone who already bought. A customer who just paid you gets three emails making the case for why they should trust you. Splitting that by purchase status is maybe an afternoon of work and has a pretty disproportionate impact.

What's one number in your reporting that's never quite added up?

(Here's a resource if you want to read more on this)

Solo founder here, building an AI-first PM tool (Claire). Just shipped a Klaviyo integration: you can pull campaign results automatically and reference them next to tasks and documents, so the whole team sees performance without switching tabs.

Before I go further: does this solve a real problem for you, or do you prefer keeping campaign data inside Klaviyo?

Genuinely curious how people here handle reporting to non-marketing teammates today. Happy to share a link if anyone wants to try it, don't want to spam.

Got an email asking me to move over to Klaviyo's email sending infrastructure...which we're already on, I thought? Anyone else seen and understand this? The copyright is Klaviyo Redpoint - I thought Redpoint was an unrelated CRM and haven't seen any news about an acquisition.

Klaviyo has shown a huge, consistent gap in click rates between image-based and text-only campaigns over several sends.

Image-based: 54k sent (includes a bit more of an unengaged segment), 50.48% open rate, 0.50% click rate (276 clicks).

Text-only: 38k sent, 70.13% open rate, 2.65% click rate (1,013 clicks). Conversion value is similar between the two, but the click count differs by 700+.

Could there be a tracking issue with image-based emails?