r/Emailmarketing

What the title says. I have a Clay account with 108,000 unused credits. Happy to sell to someone for a reasonable price.

I run an online music production business. I make instrumentals, post them on my YouTube channel, and then have a link in the video directing them to my website where they can then purchase.

I have around 50k subscribers on my YouTube channel, and an email list consisting of 5000 music artists ( who have bought form me before)

I have never tried email marketing and my friends say I’m missing out on a TON of revenue. I make around 10k a month now without email marketing

My profit margins are 95%, I have some room to spend on this. It’s an incredibly cheap business to run, and I am now fully focused on scaling

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Recently I saw many posts where they discussed how JUST setting up DKIM, DMARC AND SPF didn't automatically fixed their deliverability.

The thing is, DNS set-up is a basic thing. It's not "everything"

Engagement.replies. click. opens. These things are one of the biggest factor which determines where your emails will land.

If you are sending emails to 100 users and only 1 of them is reading your email then obviously you're emails will land in the spam.

So here are the steps what you Must do.

1. proper DNS set-up

2. List cleaning

3. list segmentation

4. Send value based emails and try to get as much clicks and replies as possible.

5. Don't be too Salesy or promotional.

Do these things and your emails will stop landing in the spam.

NOTE: You don't need to delete users in your list who aren't engaging. Keep them in seperate list and there are strategies to bring them back.

Open rates can be noisy. Curious what changes made real people actually respond or take action.

I run a service business and we use a scheduling software that sends automatic email notifications for booking confirmations, appointment reminders, etc. The problem is, if the email used is hosted via google, even if it's @ companyname .com, the domain won't get whitelisted and emails go to spam.

The workaround is that I need to create an email address via hostinger which we use for web hosting. The problem is we need to create a subdomain and @ mail.companyname .com looks spammy. Does anyone have a better idea for a subdomain to use or a solution to this problem?

If there's a better community for this question, please point me in the right direction.

Thank you!

Spent the last few months building a newsletter analytics tool and pulling sponsor patterns across the index. The headline finding contradicts most "monetize your newsletter" advice:

96% of newsletters in my index have ZERO detected sponsors.

Out of 32,667 newsletters tracked, only 1,201 have any sponsor at all. Only 116 have 10+. Sponsor revenue is hyper-concentrated in the top sliver of operators.

Three more findings:

1. Sponsor adoption scales ~9x with audience size.

Audience	% with sponsors
1K-5K	5%
5K-25K	5%
25K-100K	14%
100K-500K	29%
500K+	43%

Under 25K subscribers, sponsorship revenue is rare. Subscriptions, products, or affiliates make more sense at that size.

2. Top advertisers cluster in two verticals.

Half the top brands by placement count are B2B SaaS for engineering and PM audiences (Vanta, Attio, Harmonic, Tracksuit, Anthropic). Three are DTC health/supplements (Momentous, LMNT, Maui Nui Venison).

Rank	Brand	Placements	Category
1	Vanta	144	B2B SaaS
2	Momentous	138	DTC supplements
3	LMNT	115	DTC drinks
4	Maui Nui Venison	104	DTC food
5	Attio	79	B2B SaaS
6	Harmonic	64	B2B SaaS
7	Ripple	49	Crypto
8	Ground News	48	Consumer app
9	Wix Studio	44	Creator tools
10	Tracksuit	42	B2B SaaS
11	Anthropic	39	AI

3. Crypto newsletters get sponsored at 7x the rate of education/travel newsletters.

Crypto: 20% have detected sponsors. Education: 3%. Travel: 3%. Topic determines whether a sponsor economy exists for your niche. Niche dynamics matter more than audience size below the 100K mark.

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Methodology: 32,667 non-LinkedIn newsletters across Substack, Beehiiv, Ghost, and other platforms. Detection runs on public post content, so it misses some Substack inline mentions — actual sponsor rates may be ~20% higher than reported, especially on subscription-funded Substacks.

Curious whether this matches what operators here actually see. If your newsletter has sponsors and you're under 25K subs, you'd be a real exception to the data.

Not to add to the AI hysteria, but wondering how everyone here is reacting to the AI age’s impact on email marketers.

It takes seconds now to whip up 80-90% of an email (from copy, design to issue) using Claude. There exist some tools that, while rudimentary, are doing the process end-to-end. For smaller businesses this tool is probably ‘good enough’.

Anyone else a bit unsure about their place in this industry as a result?

I recently bought a new domain and set up email for it, but I noticed that many of my test emails are landing in spam or promotions instead of the primary inbox.

I’m not talking about scraped lists or cold email. I want to understand the right way to build sender reputation for a new domain before sending any real campaigns.

Current situation:

• The domain is new
• Email inbox is newly created
• SPF / DKIM / DMARC are either being set up or need to be checked
• Low sending volume so far
• Emails are going to Gmail / Outlook spam in some cases

I’m trying to understand the best practices for warming up a new domain and improving deliverability in a clean way.

A few questions:

1. How long does it usually take for a new domain to build enough sender reputation?
2. What should I check first: SPF, DKIM, DMARC, reverse DNS, email content, sending volume, or engagement?
3. Is it better to start with one-to-one manual emails before sending newsletters?
4. What sending volume is considered safe in the first few weeks?
5. Are there any tools you recommend for checking domain reputation and inbox placement?
6. What are the biggest mistakes people make when using a brand-new domain for email?

I’d appreciate any practical checklist or real-world experience from people who have dealt with new-domain deliverability.

Running a weekend campaign test for a brand I work with. Single variable, everything else identical - subject line, send time, layout, segment.

• Variation A: 10% off
• Variation B: 11% off

My hypothesis going in: 11% pattern-interrupts. Every brand defaults to round numbers - 10%, 20%, 15%. At some point that stops reading as a discount and starts reading as wallpaper. An odd number feels like someone actually ran a calculation rather than just picked the standard offer.

Still waiting on the full results.

Do you think the odd number wins here, or does the "cleaner" round number convert better?

Have you tested anything similar, weird numbers, non-round discounts, or anything that broke the expected pattern?

Is this a psychological play that holds, or does it only work once before audiences get used to it?

Working on a stack design for a SaaS client that's currently a mess — no lifecycle tracking, nurturing is manual emails, and contract renewals are calendar reminders in someone's inbox. Classic early-stage chaos

What they need:

- Lead nurturing sequences for new contacts

- Lifecycle stage tracking (Lead → Trial → Active → At-Risk → Churned)

- Automated renewal notifications via email AND push (mobile app + web app

What I'm proposing:

HubSpot for the CRM layer — contact records, lifecycle stages, and renewal trigger logic Customer io for execution — email sequences, push notifications, and in-app messages.

HubSpot owns the *who and when*. Customer io fowns the *what and how

However this tech stack is expensive since I cannot automate the lifecycle stage without a Pro license.....

Why I'm second-guessing myself: Maybe activecampaign or Brevo is a good option?

HubSpot Marketing Hub can do email on its own, but can't handle push notifications or deep behavioral triggers for app users. Customer io solves that — but now I'm managing a sync between two systems.

Anyone run this combo in production? What broke, what worked, and is there a better approach I'm missing?

I've been going back and forth on this for a few months across the Shopify brands I run email for, and I still don't have a clear answer.

My current default is hybrid — some structure, a hero image or product shot, but mostly text doing the heavy lifting. Open the email on desktop and it looks like a real brand. Open it on mobile and it doesn't break. Deliverability doesn't tank. That's been the safe middle ground.

But "safe middle ground" isn't the same as best-performing.

What I think I'm seeing:

• Graphic-heavy emails feel more on-brand for some clients but consistently get clipped by Gmail and hit promo tab more aggressively
• Plain text flows (especially post-purchase and winback) punch above their weight in clicks and replies, people actually respond to them
• Hybrid is where most of my campaigns live but I'm not convinced it's the right call or just the path of least resistance

What I genuinely don't know:

• Whether graphic-heavy emails are underperforming because of the format itself or because most of them are just badly designed
• How much of plain text's edge in flows is the format vs the context (post-purchase, winback, the emails people actually want)
• Whether the right answer is format-by-email-type rather than one default across the board

If you've run a proper comparison on this, same list, same offer, different formats - I'd love to hear what you found. Especially curious if anyone's seen graphic-heavy work consistently well outside of pure brand awareness sends.

I've taken up email marketing a couple of days back and while I know much about the infra of email marketing, email automation and email deliverability, I have limited knowledge of how to actually create a good email from scratch.

I tried creating one from scratch and received a lot of feedback, which gives me an idea that I'm not really that good at it.

Can someone give me suggestions around what kind of elements or sections a good promotional email should have, if there's a workflow to writing a good email copy, where you get the images from, what kind of design works and so on.

Any and all information, no matter how basic, would be of help.

I’ve been looking at email signatures in newsletters, customer follow-ups,founder updates, and regular business emails,and I’m curious how much they actually matter once someone has already opted in or has an existing relationship with the sender.Some signatures are very simple,just a name,role,company,and one useful link. Others include logos,social icons,booking links,awards,disclaimers,and several CTAs.The more designed ones can look polished,but they can also make an email feel heavier or less personal.

For people who run email campaigns regularly,have you noticed any real difference between simple signatures and more branded ones?I’m wondering whether a clean signature helps with trust and clicks,or whether most subscribers ignore it unless it becomes distracting.I’m also curious if image-heavy signatures have caused formatting,loading,or engagement issues in real campaigns.Trying to understand what actually works in permission-based email,not just what looks good in a template.

I’ve been working with Google Analytics 4 a lot recently and noticed that most resources either (1) assume you already know GA4, or (2) are super high-level and don’t help you actually pass the certification or use it on real projects.

So I put together a GA4 study guide that combines beginner-friendly explanations + implementation checklists + reporting examples + certification prep in one place.

What’s inside (short version):

– Foundations: event-based model, users/sessions/events/parameters explained in simple language

– Implementation: property + data stream setup, GTM event tracking, custom dimensions/metrics, debugging

– Reporting: how to use the standard reports + explorations (funnels, paths, attribution) to answer real business questions

– Certification prep: 50 practice questions with answers and explanations + a 7-day crash plan

– Cheat sheets: one-page implementation checklist, event naming patterns, “which report answers which question”, exam-day reminders

It’s written for two types of people:

Marketers/analysts who are new to GA4 and want a structured path

People trying to pass the GA4 certification without wasting weeks jumping between random blog posts

If anyone’s interested, I’m happy to share the full study guide here and answer questions on implementation or exam prep. I listed it as a paid PDF (GA4 Mastery 2026) on Gumroad, but if you want to ask anything specific (e.g., “how would you track X?” or “how to prepare in 7 days?”), drop your question and I’ll reply in detail and reference the relevant parts of the guide.

Curious what actually pushed people over the edge to switch. pricing, deliverability, missing features, something else?

Currently using Cloudflare workers and that provides their own algorithm's guess at deliverability, but not each email's actual inbox placement.

I'm using subdomains to segment the list. And it's a combination of spf/dkim/from all being from the same subdomain, say, sub2.domain.com.

I have MX record for sub2, but do I also need an A record?

I know that without an MX or A record some receiving MTAs will block it as "Sender address rejected: Domain not found". But if I have MX record, should I also set up A record?

Do receiving MTAs or spam filters actually check that?