Deliverability & List Health
Inbox placement and sender reputation, including authentication, warming, sending limits, engagement signals, list hygiene, replies, and spam avoidance.
30%
Best tweets about Email Marketing
50 Best Tweets About Email Marketing (2026)
Browse the best tweets about email marketing, including newsletters, segmentation, deliverability, lifecycle campaigns, copy, testing, and revenue results.
Email strategy, segmentation, lifecycle flows, deliverability, copy, testing, retention, measurement, and concrete campaign results.
- Creators
- 37
- Updated
Original Xholic analysis
What 50 top Email Marketing posts reveal
In this 50-tweet dataset, email discussion spans lifecycle flows, segmentation, deliverability, copy, testing, and attribution. Deliverability and measurement recur as operational concerns, while AI automation and cold outreach feature prominently among the supplied score outliers. Posts also disagree on automation’s standalone value, email’s reach, and appropriate sending frequency.
- Dominant tone
- Positive
- Median score
- 4.17
- Leading format
- Tutorial
- Recent posts
- 36%
58% of posts
All-time engagement
30% of posts
Published in 90 days
Conversation map
The themes creators return to
Measurement & Attribution},{
Measurement, attribution, and email performance audits focused on clicks, replies, revenue, cohorts, flow performance, and the limits of open rates.
30%
AI Email Automation
AI-assisted creation, optimization, and automation of email sequences, newsletters, cold outreach, reporting, and marketing workflows.
28%
Lifecycle & Retention Flows
Lifecycle programs including welcome, nurture, abandonment, post-purchase, replenishment, win-back, subscription, and retention flows.
26%
Segmentation & Personalization
Audience segmentation, behavioral targeting, personalization, lead magnets, and tailoring messaging to customer lifecycle or purchase models.
22%
Cold Email Outreach
Cold-email prospecting: trigger-based list building, enrichment, validation, personalization, sequencing, follow-up, and sales handoff.
20%
Email Copy & Offers
Email copywriting tactics covering subject lines, preview text, concise conversational emails, CTAs, storytelling, social proof, and offer framing.
20%
Testing & Optimization
Experiment design and continuous optimization of campaigns and automations, including isolated variables, sample sizes, timing, and iterative improvements.
18%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 13
- Median reposts
- 1
- Median replies
- 2
- Median views
- 974
Posts with media make up 46% of this collection. Their median all-time score is 2.71, compared with 4.61 for text-only posts.
Format mix
- Tutorial 30% · score 4.45
- Opinion 28% · score 3.46
- Case Study 20% · score 8.24
- List 14% · score 1.96
Consensus and debate
Where creators agree, and where they do not
Shared view
Email is discussed as a multi-part operating discipline
Posts describe email work as extending beyond one-off campaigns to flows, segmentation, deliverability, copy, testing, and attribution. They also advocate testing isolated variables and auditing flow overlap, cohorts, inbox placement, and attribution rather than relying only on headline reporting.
Shared view
Deliverability is treated as a foundational concern
Deliverability posts commonly recommend engagement-oriented reply prompts, authentication, validation, warming, and controlled sending. These are presented by their authors as safeguards for inbox access and sender reputation.
Shared view
Behavior and lifecycle context inform targeting
Segmentation recommendations use lead source, purchase model, quiz responses, and click behavior to vary lead magnets, follow-up, offers, and creative. A property-email example treats listing clicks as a signal for a tailored follow-up.
Open debate
Automation benefits are paired with quality and context concerns
Posts differ on automation's value and reliability. One author says AI made a basic flow easy to deploy and claims a typical 3–5% revenue lift; another says automation alone does not generate as much revenue as expected; a third reports AI recommendations were wrong when they lacked complete data and business context.
Open debate
Posts offer conflicting views on email’s effectiveness
One author argues that mass email is often unseen because their client archives it. In contrast, other authors report newsletter businesses with 30,000+ subscribers and seven figures in revenue each, and describe email as their highest-ROI channel. These are individual reports, not a universal verdict on email's future.
Open debate
Advice on sending frequency differs
A post cautions smaller brands against copying large brands that send roughly 30 emails per month. Another recommends a daily newsletter supported by an agent and performance feedback. The contrast suggests that the appropriate cadence is presented differently by different authors.
What performs
Patterns behind standout posts
AI, newsletter, and outreach posts appear in the supplied outliers
The supplied outlier list contains AI-enabled email-workflow content, newsletter-growth content, and cold-outreach content. Its highest listed post is 2024469057270141195, with an all-time score of 277.72.
Case studies have the highest median among major listed formats
Among the supplied format medians, case studies score 8.24, above tutorials (4.45), opinions (3.46), and lists (1.961). This is a descriptive comparison within this 50-tweet set, not evidence that the format causes stronger performance.
Tutorials are common, while AI automation has the highest theme median
Tutorials are the most common supplied format, at 30% of tweets. AI Email Automation has the highest supplied theme median score, at 10.05; this indicates strong observed scoring for that theme in this dataset.
Statistical standouts
- View standout post 1 Score 277.7 · 66.6× median
- View standout post 2 Score 182.9 · 43.86× median
- View standout post 3 Score 93.5 · 22.42× median
- View standout post 4 Score 91.6 · 21.97× median
- View standout post 5 Score 84.0 · 20.13× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Adam Rahman
@AdamrahmanGTM
2 posts
-
2. Fil
@BallinFil
2 posts
-
3. Brad Smith
@bradsmith
2 posts
-
4. Cody Schneider
@codyschneider
2 posts
-
5. Chase Dimond | Email Marketing Nerd 📧
@ecomchasedimond
2 posts
-
6. Nick Shackelford
@iamshackelford
2 posts
AI posts emphasize production assistance with oversight
Several posts position AI as assistance for drafting sequences and newsletters, repurposing source material, and operating workflows. The OpenClaw post explicitly says human editing and judgment remain necessary, while the marketing-engineering post says agents need live business data.
Retention-oriented posts call for deeper measurement
Retention and ecommerce-oriented posts call for deeper review of flow conflicts, cohorts, inbox placement, revenue per recipient, and statistically meaningful tests, rather than surface-level campaign metrics alone.
Cold outreach is presented as pipeline generation
Cold-email posts describe enrichment, validation, sending infrastructure, and sales follow-up as components of pipeline generation. One author explicitly characterizes email as the top of funnel and sales-rep follow-up as the revenue-producing step.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Email Marketing tweets
Top Email Marketing tweets from 37 creators
Ranked 01–50
- 01
@Mike_Scully_ ·
I've spent the last 7 days using OpenClaw for almost everything in my business. Not testing it. Not playing with it. Actually using it to get work done. Here's what I found. Day 1 — I needed to build out a full email nurture sequence for a client. 7 emails, segmented by lead source, each one with a different angle. Normally takes me a full day to plan, outline, and write. OpenClaw had the structure, subject lines, and first drafts done in under an hour. I spent another hour editing. Half a day saved. Day 2 — Had to audit 90 days of content across 4 platforms for a client. Pulled everything into a doc, fed it in, and asked for a performance breakdown by content type and funnel stage. Got a full analysis with recommendations I'd normally charge for as a standalone deliverable. Took 20 minutes. Day 3 — Built out an entire ManyChat DM flow. Keyword triggers, qualifying questions, routing logic, follow-up sequences. I described what I wanted in plain English. It mapped the whole thing out and gave me the copy for every step. Would've taken me 3-4 hours. Took 45 minutes. Day 4 — Wrote a sales call framework doc for a new closer joining the team. Discovery questions, objection handling, pitch structure, segment-specific angles. I gave it context on the offer and the ICP. It came back with something I barely had to edit. Day 5 — Used it to restructure a Skool course. Fed in the existing module list and the new roadmap I wanted to hit. It reorganised everything, flagged gaps in the content, and suggested new modules I hadn't thought of. Saved me an entire afternoon of staring at a whiteboard. Day 6 — Cold email campaign. 4-email sequence, personalised first lines, A/B variants for subject lines. I gave it the ICP, the offer, and the tone. First drafts were 80% there. I tweaked the personality and sent. Day 7 — Took everything I'd built that week and asked it to create SOPs for each process so my team could replicate them without me. Got clean, step-by-step documentation I could hand off immediately. Here's the thing nobody talks about with AI: The ROI isn't in the flashy stuff. It's in the boring stuff you do every week that eats 3-4 hours each time. When you cut that in half across 5-6 tasks, you've just bought back an entire working day. Every week. That's not hype. That's maths. I'm not posting this to say OpenClaw is perfect. It's not. You still need to know what good looks like. You still need to edit. You still need to think. But if you're running a business and you're not using these tools daily, you're leaving time and money on the table. And here's what keeps me up at night: This is the worst this technology will ever be. Right now. Today. This is the floor. It's already saving me 10+ hours a week. It's already producing work that would've cost me thousands to outsource. And it's only going to get faster, smarter, and more capable. Every month the gap widens between the people using this stuff and the people watching from the sidelines. If you're not learning how to work with AI right now, you're not standing still. You're falling behind. Because the people around you, your competitors, your peers, the person going for the same client, they are learning it. This isn't coming. It's here. The only question is whether you're building with it or waiting until it's too late.
- 02
@JamesonCamp ·
I built two newsletters to 30,000+ subscribers and seven figures in revenue each Fully organic. Never spent a dollar on ads. If you follow these steps you will 10x your likelihood of doing $1M/year on a newsletter. I genuinely believe that. 1. Find what's trending in your niche. Not what you feel like writing about. What people are already talking about. Look at X, Reddit, fb groups, forums Create content around it. If it takes off, plug the newsletter. Or have a pop up when people get to content. I used to use optin monster You're borrowing attention from topics that already have momentum. 2. Find communities in your niche. Become active. Become an authority. Answer questions, drop real takes, help people before you ever ask for anything. This is the part most people skip because it doesn't feel productive. But every subscriber I've earned from communities came because they already trusted me before they ever hit subscribe. 3. Hyper-segment everything. Different lead magnets for different content types. We used run 200+ segments. This used to be brutal. Now with Claude Code it's about 100x easier to set up. When someone signs up, they get their specific lead magnet plus your best content that fits them. For B2B that means case studies and testimonials. Think FAQ and objection handling. The first three days after signup is your trust-building window. 4. Weekly nurturing emails. Once or twice a week, more like digests with soft CTAs as a P.S. Then monthly or quarterly you run aggressive launches. The digests keep people warm so the launches actually convert. It takes a while but this is a very simple system to build a 7-8 figure business Most just aren’t willing to fight through the boring early part
- 03
@codyschneider ·
really easy way to run an email newsletter in any niche use youtube transcripts as source material extract transcripts using scrapecreators .com put all transcriptions into context then write email newsletter based on this by extracting insights from them and creating a narrative thread to grow the newsletter take these same insights and have them be individual posts then have a down low audible asset that you're promoting they download the asset, they join the email newsletter flywheel
- 04
@NickAbraham12 ·
Cold email campaigns you can (literally) just run on autopilot: 1. Content engagers: - Weekly scrape of competitors' social following - ICP qualification - Add to sequence 2. Job board scrapers: - Weekly scrape of companies hiring specific roles - Company hiring SDRs = probably needs lead gen help - ICP qualify the company, not the job poster - Add to sequence 3. Website visitors: - Identify companies hitting your site daily - Filter for ICP to cut false positives - Enrich contacts at those companies - Add to sequence 4. Competitor follower scraping: - Pull followers of competitor LinkedIn pages - ICP qualification - Add to sequence 6. Tech stack triggers: - Monitor companies adopting or dropping a specific tool - Dropping a competitor = perfect timing - Add to sequence Save this.
- 05
@itsalexvacca ·
I tried building a $1M cold email campaign using nothing but AI agents. Full breakdown of the setup, the tools, and what actually happened:
Watch video
- 06
@codyschneider ·
how to start marketing engineering in the next 5 minutes today you need data pipeline data warehouse and agent infrastructure open source solutions are airbyte, clickhouse, hermes if your agents don't have access to your live business data, they will fail great example is AI SDRs - they were optimizing for leads, not revenue once you have this infra, you can literally build entire marketing teams that do the following 1. Run a full LinkedIn lead pipeline Give a LinkedIn post URL and I'll scrape engagers (apify), enrich with emails (Apollo), verify them (Million Verifier), and add to a cold email campaign (Instantly). End-to-end lead gen from a single post. 2. Research and write blog post keyword research using ahrefs mcp, scrape page one what is ranking, write based on what is ranking, cron job to publish 3 a day 3. HubSpot lead enrichment Every new contact into hubspot gets autmatically enriched using Exa AI API. But this isn't finding just their contact information. You can have a deep analysis on the person, their company, and an angle that you can sell to them about that they're going to find valuable. 4. Create and publish landing pages based on best performing ads have the agent analyze your best performing Facebook ads, Google ads, and LinkedIn ads. Build custom landing pages that align the ads. With them, automatically update the ads to these new landing pages. 5. Batch create and upload Facebook ad creatives this is the KIE AI API to create static images with nano banana. upload upload this to Facebook with the marketing API 6. Build AI agent to manage your cold email and positive responses one of these are response-interested. The agent works to get them on a calendar using your Cal .com API 7. email newsletter email newsletters are one of the most slept on go-to-market channels. You should be sending an email a day to your list. Have the agent create a content calendar write the emails schedule them. Look at the best performing using the data warehouse that influences the next round. 8. organic content making AI UGC videos costs next to nothing now. You can pay somebody like a doublespeed ai for warm TikTok accounts, post content to them via api. If videos get 500 views a video, they're getting a CPM That's cheaper than what you'll pay for the ads if you want this more below
- 07
@OnatAksaray ·
If you have an email list Offer a small gift to anyone who replies yes to first email 2 things happen at once You start a conversation And you teach the inbox that your email is wanted The more people reply, the more Gmail reads you as a real sender Your delivery rates climb A CTA that doubles as a deliverability fix
- 08
@ecomchasedimond ·
Most ecommerce brands only run A/B tests on campaigns nobody will see again, change five things at once, and call the winner after four hours. Here are 5 email testing rules you need to know: → Test one variable at a time so you actually know what moved the result → Test the highest-leverage element first before button colors and font weights → Send to a big enough audience to produce statistically significant results → Run the test for at least 24 to 48 hours before declaring a winner → Run most tests on flows where the result compounds across thousands of sends
- 09
@cbwritescopy ·
If your company sells a physical product B2B you’re foolish to not run cold email campaigns A company that sells ID badges for office workers has generated 80k in pipeline using ListKit… In 3.5 weeks. Read that again: 80k in pipeline in 3.5 weeks of running a cold email campaign! Cold email absolutely prints for any physical product, the more niche the better
- 10
@iamshackelford ·
What your retention team reports to you: > Open rates up 3% MoM > Welcome flow converting at 12% > Cart recovery holding steady > Subscriber count grew by 800 > Email revenue up 15% last quarter > Churn is "within normal range" Looks great right? Here's what's…(Show more) Tweet 2 What's actually happening in your account: - That 15% revenue increase came almost entirely from one promotional send that trained your list to wait for discounts - Your welcome flow and abandoned cart flow are triggering on the same customers within hours of each other and cannibalizing attribution - Subscriber count grew by 800 but you lost 600 in the same period and nobody segmented why they left - "Churn is within normal range" means nobody has looked at cohort data past month 2 and your month 3 to month 6 retention is falling off a cliff - Your post-purchase repeat rate is being propped up by reacquisition campaigns counting as retention - Open rates are up because your list got smaller from unsubscribes, not because more people are engaged - Nobody has tested actual inbox placement across Gmail, Outlook, and Yahoo in the last 90 days - Half your "email attributed revenue" would have happened anyway through organic site visits The gap between these two lists is where revenue quietly disappears. If you've never audited beyond what your retention team presents to you, start there.
- 11
@zakburgers ·
Funny how some people in ecom space think that you can run email marketing for an MRR brand in the health niche the same way you run it for a one-time purchase store It's totally wrong - you should have an absolutely different approach, and the whole vision should be about getting people on the subscription 1. First of all, the CTA should mainly mention the subscription, since it brings you huge ROI and ofc the goal with an MRR store is to stack subscription sales 2. Testimonials should talk in time periods, for example: "after a couple weeks I started seeing the first difference in...", "it took me 3 months to stop feeling exhausted after work..." etc. (The wording should encourage daily consumption to actually see results.) 3. All your pics and creatives in designs shouldn't be just a product picture or nice aesthetic pics You should use before-after pics with time periods too, problematic case pics (like a bald head or any other pain point depending on your niche) so it actually evokes emotion in the customer's head 4. Understand who your avatar is to use pictures where the persona matches them. Like, don't use 30-year-old men pics if you sell to 55-year-old people (This applies to one-time purchase stores too)
- 12
- 13
- 14
@scaling_shields ·
we were about to kill a clients campaign last month 12,000 emails sent 7 calls booked in the first 2 weeks results were mid my team wanted to scrap it and start fresh with new leads i said wait instead of killing it we added 4 follow up emails to the same 12,000 people changed nothing about the copy the leads or the offer 14 days later: 21 calls booked 3x the original result WITHOUT spending a single dollar on new leads $34,000 in pipeline recovered from people who were already sitting in instantly collecting dust heres the data from every campaign ive run this year: email 1: generates 34% of total replies email 2: generates 22% email 3: generates 19% email 4: generates 14% email 5: generates 11% stopping at email 1 means you are deleting 66% of the revenue you already paid for and heres what each follow up actually does to their brain: email 2 (day 3): one line. "firstname?" thats it. one word. costs them nothing to reply. this alone pulls 22% of total replies because its so low friction that people who meant to reply but forgot now have zero excuse email 3 (day 6): social proof. "just onboarded [company in their niche] last week." proves youre real not a bot. and triggers competitive anxiety because someone in THEIR space just hired you email 4 (day 10): the one nobody sends. "closing your file today firstname. if timings changed let me know before end of day." 14% of ALL replies come from this email. the email most people never send is responsible for 1 in 7 of every deal in my pipeline. loss aversion is stronger than any pitch youll ever write. they had access to something. now its being taken away. the brain CANT ignore that email 5 (day 14): breakup. "no worries at all. if this ever becomes relevant just reply to this thread." catches the 11% who needed maximum time. some people take 2 weeks to make any decision. thats not rejection thats just how they operate lol every single campaign you killed after 1-2 emails has a graveyard of people who wouldve said yes on email 3 or 4 i call it the ghost pipeline the leads are already in your account you already paid for them you already wrote the email you just stopped before they were ready
- 15
@lkr ·
Badass claude code for marketing workflow of the day (copypasta this into your cc) - Pull open rate and clickthrough rate for each email in all of your evergreen email sequences (I did this through activecampaign API, if your provider doesn't have one just export a report) - Pull the worst performing open rate (subj line needs improving) and worst performing CTR (email/CTA needs improving) - Search the web and put together a best practices doc for emails that convert (of course make this domain specific - enterprise saas, ecom) - Have CC modify your worst emails based on the best practices it researched - bonus points for training it on your style first, but not necessary - Upload new versions or have claudecode upload them if your tool has a good API - Track the before and after rates, and keep doing this process over and over again
- 16
@itsalexvacca ·
We sent 847,000 cold emails in September and generated $477K in revenue. Every two emails we sent brought us >$1 of business. Copy the cold email strategy that helped us build a $6M company: Most agencies use one email finder, get 45-50% coverage, and immediately lose half their list before even emailing. Then they send generic emails to whoever's left. But our first step itself is unique: 1/ Waterfall Enrichment (The Game Changer) Instead of using one email finder, we use multiple tools in sequence. ↳ Start with Apollo to find the initial email ↳ Verify with LeadMagic (if invalid, move to next step) ↳ Try Prospeo ↳ Try LeadMagic's finder ↳ Try FindEmail ↳ Keep going until we hit a valid email This helps us go from 45-50% coverage to 75-85% coverage. On a 10,000-person list, that's 3,000-4,000 additional qualified prospects. 2/ Catch-All Email Validation Many email finders will mark emails as "catch-all" - meaning they're uncertain if they're valid. Most people skip these entirely. But we use BounceBan to verify catch-all emails and check if they're actually deliverable. If BounceBan returns "deliverable," we add them to our campaign. This recovers even more prospects that others leave on the table. 3/ Lead Scoring System Instead of pitching to everyone, we only send cold emails to high-probability buyers. We validate this checklist via Clay: ✓ Website traffic >5K visitors (Semrush integration) ✓ Recent funding/press releases (Clay Agent scrapes this) ✓ 4+ active job openings ✓ 15%+ headcount growth in the last 3 months ✓ Using a specific tech stack ✓ Decision maker is active on LinkedIn 4/ Finding Data Others Miss Beyond emails, we enrich with: ↳ Business addresses (Clay Agent with custom prompts) ↳ Mobile numbers (waterfall enrichment, similar to emails) ↳ Social media handles (ZenRows) ↳ Recent news/press releases (Clay Agent) ↳ Active job postings ↳ Technology stack ↳ Latest LinkedIn posts (for personalization) Why does this matter? Because when you write "I saw you recently raised $10M and are hiring 5 SDRs...", it tells the prospect that you've done your research. 6/ Infrastructure at Scale Sending 800K+ emails/month without getting blacklisted requires proper infrastructure. This is our setup: ↳ 1,250 domains ↳ 2 mailboxes per domain = 2,500 mailboxes ↳ 15-20 emails per mailbox per day ↳ 30-40 emails per domain per day This keeps us under spam thresholds while maintaining perfect sender reputation. To warm up, every domain goes through a 2-week warm-up using Instantly's warm-up pool. Week 1: Start with 1-2 emails/day Week 2: Gradually ramp up to 15-20 emails/day Only after this do we launch cold campaigns. This is just scratching the surface of what we do at ColdIQ. I shot a YouTube video which dives deeper on this topic. It has everything from the entire tech stack we use to how we use it👇🏻
- 17
@iamshackelford ·
I’ve seriously spent more money across more channels than I can count. From PPP loans to fidget spinners to THC beverages and more. These are the 3 channels that have made me the most $$$ ranked by ROI. 1. EMAIL MARKETING I've probably spent the least amount of money here. Low millions total. But I've generated hundreds of millions of dollars in return off email alone. That's not an exaggeration. That's the channel where I've built the most legacy across every business I've been involved in. Email works at every stage. But it becomes a different animal once you have customers to retain. The ROI on email when you already have a list is unlike anything else because you're not paying to reach people who already bought from you. I'm putting this first because the capital required to generate outsized returns is lower than anything else on this list. 2. META / INSTAGRAM More millions than I can count on spend and more millions than I can count in return. Every industry I've touched, Meta has been the workhorse. PPP loans, COVID tests, magnetic eyelashes, fidget spinners, THC beverages, electrolytes. Doesn't matter the vertical. Meta has delivered across all of them. I'm putting this second only because email required less capital to generate the same or better returns. Meta is the volume machine. If you need to acquire customers at scale, this is still where the majority of spend should go. Nothing else comes close at that level. 3. IN-PERSON EVENTS This one is different. I've spent a lot of money on events. Probably more than I should have relative to the immediate cash return. On the P&L, events are negative ROI. But the long-term relational ROI on every partnership, deal, and opportunity that came from being in the room with the right people makes this third on the list. The return from events doesn't show up in a spreadsheet, because it shows up 6, 12, 18 months later when someone you met at an event sends you a deal, a hire, or an introduction that changes the trajectory of a business.
- 18
@HeyNayeem ·
Email marketing agencies charge $3,000-5,000/month for workflows you can now run in Perplexity Computer for free. Welcome sequences, re-engagement campaigns, A/B testing, segmentation, I replaced 7 manual processes that used to take hours each. You can build all 7 in one sitting. Here's the full setup guide.
Watch video
- 19
@neilpatel ·
An open means someone saw a subject line. That's it. Click-through rate is the number that connects to revenue. Industry average is under 2.5%. Top performers are at 6.3%. That gap isn't luck. It's a testing discipline most senders skip entirely. Multiple copy variations per send. Real data on what gets clicked. Iteration from there. Track the number that matters. #EmailMarketing #EmailStrategy #MarketingTips #ConversionOptimization
Watch video
- 20
@wizofecom ·
80% of the ecom game is optimization right now. Optimization of the flows and campaigns you already have running. I see brand owners think their competitors are the ones launching new stuff, running a new angle, doing a new hook. The competition that’s blowing up has already mastered consistent inputs, hit send every week and keep their automations live. That's their baseline. They're not impressed with themselves for doing it, because they know that's the bare minimum. Where they make their money is in the 80% nobody talks about. → Going into the same welcome flow from a year ago and finding a better subject line. → Tightening a segment. → Running an A/B test on an email they've already sent 40 times. Omnisend just found that one habit alone like consistent A/B testing is linked to a 192% lift in revenue on average. Anyone can set up a flow in 2026. Anyone can send a campaign. What separates you is whether you can systematically improve those numbers week after week for the rest of the year. Full report below if you’re interested in knowing more of what your competitors are doing right.
- 21
@zakburgers ·
working with the biggest peptide players gave me huge experience in the segmentation game for emails creating 10 different angle flows for these brands depending on their answers in the quiz funnel basically showed me how important it is to personalize everything and how much conversion increases if you follow that vision now that skill helps me extremely in ecom email marketing to unlock new angles + avatars, actually target them, and separate camps and flows for specific segments it's basically the advanced way to run emails if you run emails for a dropshipping store the same way they're run for community-based brands with loyal customers, then you're basically using only 20% of the whole potential the frontend should match the backend - if you run DR ads and your emails are general, they simply are not gonna perform
- 22
@MediaKing ·
AI is changing how content is created, discovered, and distributed. Email deliverability could be another piece of that puzzle.
Watch video
- 23
- 24
@ivesparrowai ·
How I built a product email flow in 1 hour. I always hated email campaigns. They don’t bring a lot of revenue, but they take a lot of time to prepare. With Claude, this part of marketing suddenly became very simple. Step 1 – integration – 5 minutes. - I signed up for Resend - added the domain - authorized it through Cloudflare - got the API key - asked Claude Code to do the whole integration Step 2 – prepare the flows - Claude Code suggested the main email flow: welcome, discounts, referral program, subscription benefits, free account limits, and so on - Claude Code created all the emails: design + copy - added triggers to the backend - ran tests Step 3 – forget about it The advantage of a basic email flow is that you set it up once and may never touch it again. Usually, it gives you +3-5% to revenue. Step 4 – push notifications Then I asked Claude Code to do push notifications in the same way. Step 5 – in-app messages And to make it even better, I added in-app popups using the same triggers. In big companies, full-time people work on this. Now one person can do it in 30 minutes. Before, I could always find 100 reasons not to do it: it's boring, takes too long, and doesn't make much money. But now, with Claude, this part of marketing has become very simple. It's basically the bare minimum now – kind of like launching a website with SEO. Too easy not to do.
- 25
@parkerworth ·
Want to know the secret to writing emails that literally doubles sales? But not just any emails... Client stories. And it all starts with this quote from Robert Mckee about storytelling: “A character who wants something and overcomes conflict to get it.” Now this sentence may seem simple, but there are a ton of elements behind it. Here’s what you’ll need to write a client story that converts: 1. Client (obviously) 2. Specific results your client got (ex: “65 new customers in 24 hours”). 3. Their exact words: quotes from emails, DMs, community posts, or feedback surveys. 4. Evidence and proof:Screenshots, social media posts, or results data. 5. Context of their struggle - What they tried before. - Why did they fail? - The bad advice they followed. - The obstacles that nearly stopped them. 6. The “aha” moment you gave them Then write you emails with this simple framework: •Relatable character desires something. •Relatable characters have failed to get desire •Failure is a result of bad advice. •Relatable character meets a guide (you or your business) •Relatable character gains clarity and a new direction to achieve desire •An obstacle appears. •Relatable characters must change. •Guide offers a unique solution •Relatable character achieves desire. Use this email in your autoresponders, blasts, launches, port purchase sequences, abandoned cart sequences... And you'll love the results.
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@TheGeorgePu ·
I use Superhuman. It auto-archives almost everything before I see it. Newsletters. Marketing emails. Cold outreach. Gone. I open maybe 1% of what's archived. Probably less. If you're sending mass emails to people like me, I want you to know something. I never saw it. I will never see it. The future of email marketing is death.
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@nabeelazeez ·
Leila Hormozi is sick of her company sending AI slop back and forth. So she sent out a company-wide memo telling them why they suck and how to fix their writing if they're going to use AI. She posted a carousel about it. They're good tips too. Go read them. It must be frustrating trying to create a company culture of excellence, and have your employees care so little about their communication and care even less about the people reading it. But you know what's even more frustrating? When executives do it. One of my clients hired a new CMO recently. She wanted to talk to me about optimizing our email marketing efforts. She pulled the lifetime report for campaigns then had AI analyze the report and give recommendations. She sent those unedited recommendations to me thinking I wouldn't notice. The first thing I did was say, did you create this report using AI? The second thing I did was point out how all the recommendations were WRONG. - She forgot to pull the automations report so the AI didn't have all the data - The AI was clearly given no context about our business or email strategy - All the AI knew about email marketing was the best-aka-worst practices it's been trained on using human slop SEO blogs So I had to tell her all of this was nonsense and our email marketing operation was elite, beating industry benchmarks by 10X. In corporatese, because that's how she talks. To make matters worse, she sent me AI-generated brand guidelines that had no relation whatsoever to the positioning of the business and were non-compliant to boot. So yeah, Mrs. Hormozi, I feel your pain.
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@AdamrahmanGTM ·
Cold email builds pipeline you can work. The best sales reps I work with don't sit around waiting for meetings to appear on their calendar. They go through the pipeline we generated and reach out directly. Call and Linkedin connect the interested replies. Follow up with the ""not right now"" responses 60-90+ days later. The email campaign is the top of the funnel. The rep working the pipeline is where the revenue actually comes from.
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@Outscaler ·
Building an internal tool for founders to efficiently work with their human team and AI agents Whatever task you're doing with AI, you're spending 90% time just going from app to app, reprompting, checking quality, pulling data.. same for your team The app will be fully open source, running locally Example of use case I'll setup now for Google ads: - Pull Brandsearch app + lp repo - Pull Google Analytics + Google Search - Pull Brevo (email marketing) for audience enrichement (and make full funnel congruent like Ad to LP to Email flow) = Has all data, my .md (copywriting, taste, features etc..) = Weekly analyze GAds performance (or email etc..) = Create new drafts for campaigns, landing pages, 90% quality has it uses .md I'm building for months = Me or my team then simply decides to push, modify etc.. You can do the same with your email marketing or Meta ads. For email: - Pull all onboarding data - Pull all transactionnal and marketing emails - AI compares onboarding personnas (ex: prod research vs creative agency) - Sees who and why x personna unsubs/doesn't click - Builds more efficient email flow and campaigns from concepts I give - Use my copywriting.md + past emails that performed - 95% email flow done, I just verify the drafts It's basically what I'm already doing manually, but cleaner, more efficient and AI can enrich the multiple integrations I'll show y'all a bit more what it looks like because it's just easy af. Adding all integrations I use atm
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@bradsmith ·
The #1 email mistake I see business owners make: Complicating it. Pretty templates end up in spam. Plain-text gets opened. We send a simple workflow from GoHighLevel every Tuesday and Thursday. Our average results: • 60% open rate • 30%+ click-through rate The formula: • use plain-text only • write conversationally • keep it between 100–249 words Your customers don't care how pretty the email is if they never see it. We have an AI Prompt you can use for this exact workflow so it saves you time setting it up. If you want it let me know.
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@dylan_bridger ·
One of my clients sells million-dollar homes. Because it's a considered purchase, email is an especially useful marketing tool. It helps us spot the most interested prospects BEFORE they raise their hands. So we focus our follow-ups on who's most likely to buy. Here's an example: I sent an email recently that featured a property. It included a link to the full listing. Now I'm analyzing a spreadsheet of only those folks who clicked that link. THESE are the warmest leads for that particular property. They opened the email, read till the bottom, and clicked through to see more details. That suggests intent to buy. So we treat them differently from everyone else in the database. And this same principle applies well beyond real estate. I've confirmed this myself working with clients in online courses, e-com, SaaS, and services. Here's what I'm doing next: Crafting a short, tailored follow-up message to go out to only those clickers. "Hey I saw you looked at [insert property here]. Do you have any questions about it?" Because we have data suggesting these leads might be in-market, simple and direct emails like this can nudge them off the fence. But we don't need to stop there. The client could call all these leads, focusing their most precious resource - time - on the opportunities that are most likely to convert. We could send an SMS reinforcing what the email said, in case they missed it. And if any of these leads move to a call or a deal, we can study how we acquired them in the first place to improve our future traffic generation strategies. All these insights stemmed from sending ONE email and pulling up ONE click report. Now imagine what you learn when you're sending multiple emails per week (which is what I do for most of my clients). Your ideal customers are silently signaling when they're ready to buy. You just need to know where to look - and how to nudge them past the finish line. Follow me @dylan_bridger for tips and case studies on how to do just that. Or please share with your audience if you found this post insightful!
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@mauricekleine ·
here’s how we increased new Mockly signups by 350% in 4 weeks: initially, the signup screen made users sign up AND pick a plan in a single screen many dropped off now, users sign up first and pick a plan on the next screen they might still drop off then, but now we can start an email campaign to try to get them to convert in the days after signup small tweak, big results ps yes aprils fools day saw a peak in signups, but pranksters don’t convert! took us 9 months to get to 2000 users, and then we added 1297 in the course of 4 weeks upwards and onwards 📈
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@qzxcle ·
How to win email marketing by Alex Schultz (CMO Meta): 1. Email is dead for anyone under 25. They live on WhatsApp, SMS, Snapchat. (Now it’s X, Telegram, TikTok and so on) 2. “You have to finish to finish first.” If your email never hits the inbox, nothing else matters. Deliverability beats everything. 3. Dirty IPs, shared servers, spam complaints. Once you’re blacklisted, getting out is nearly impossible. Play it clean from the beginning. 4. Newsletters are stupid. Someone who signed up yesterday does not need the same message as a user who’s been with you three years. 5. The best emails are notifications. Timely, personal, triggered by something the user actually did. 6. Facebook emailing every “like” to a power user is spam. Send that same email to a new user who just got their first like to hit the ‘magic’. 7. Grey route SMS, fake phone farms, shady tactics. They work until they don’t, and they always get shut down. 8. Once a user turns off push notifications, good luck getting them back. You get one shot. Don’t waste it. So in summary, simple yet often overlooked AND overcomplicated truth: “Make sure you have deliverability.” Then worry about open rate and CTRs.
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@bradsmith ·
Our team just finished building out this e-Commerce sales system for a new client. Below is a 10-step checklist that breaks down each column. Don't bookmark this, read it, envy it, and then wish you did something about it 2 years from now... New cold audience traffic: - Organic search - Instagram reach - TikTok discovery - Google Shopping - Meta ads - YouTube pre-roll Conversion method: - Landing page - Product detail page - Reviews module - Size and fit quiz Follow-up Method: - Welcome email series - Browse abandon email - Cart recovery email - Promo broadcast Retargeting System: - Instagram DM and replies - Display retargeting - Meta retargeting - X retargeting Checkout Flow: - Express checkout - Order confirmation - Shipping update Retention Goals: - Unboxing follow-up - Replenish trigger - Cross-sell email Increase Loyalty: - 5-star review ask - Referral program - Newsletter - User-generated content hashtag KPI Reporting: - Total revenue - Gross profit - ROAS - Cost per click - Impression share - 30-day reach - Product page bounce rate - Time on page - Add-to-cart rate - Email open rate Send these 10-steps to your marketing team to make sure it's implemented: 1. Install tracking: GA4, Google Tag Manager, Meta Pixel, Google Ads tracking, and ecommerce purchase events. 2. Create one main landing page for your best offer, product, or collection. 3. Optimize product pages with strong photos, benefits, reviews, FAQs, shipping info, and clear add-to-cart buttons. 4. Add email/SMS capture with a first-order offer, quiz, or lead magnet. 5. Build a welcome email series for new subscribers. 6. Set up browse abandonment, cart abandonment, and checkout abandonment emails. 7. Launch discovery traffic through Google Shopping, Meta ads, TikTok, Instagram, YouTube, and SEO. 8. Build retargeting ads for website visitors, product viewers, cart abandoners, and social engagers. 9. Create post-purchase follow-up with order updates, education, review requests, cross-sells, and replenishment reminders. 10. Review KPIs weekly: revenue, ROAS, CPC, conversion rate, add-to-cart rate, checkout rate, email performance, and repeat purchases. If this helped you in any way, tag your favorite e-Commerce brand in the comments.
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@thePhilRivers ·
Email marketing has so many features it becomes overwhelming. And when you're overwhelmed, two things happen: 1. You don't do anything 2. You focus on the wrong things Button colors. Fancy segmentation. Advanced flows. Meanwhile the popup form converts at 2%. The gap isn't about what you CAN do. It's about being able to see what actually moves the needle.
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@AiMatthewP ·
Something I see every day is ecom brands that have 2,000 emails collected. All people that bought a product before. They said yes at least once. But the last email they sent was in November. It's April. The easiest way to get extra revenue is just sitting there. Not because they don't care. Because they ran out of time, ran out of ideas, or just kept pushing it to tomorrow. Even though getting a past customer to buy again costs almost nothing compared to finding a new one. They already trust you. They already handed over their card. All it takes is the right message at the right time. An automated repeat customer campaign handles all of that. Sends itself. Personalizes itself. Runs while you're doing everything else. When's the last time you emailed your list?
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@AdamrahmanGTM ·
How to diagnose a failing cold email campaign: Check these 4 variables: 1/ Offer - Does it solve a real pain? Is it a no-brainer? 2/ Message - Is the copy clear? Does tone match audience? 3/ Segment - Right companies? Right titles? Right size? 4/ Infrastructure - Google vs Microsoft? Bounce rate under 3%? Every underperforming campaign has a broken variable. Find it, fix it, retest. Don't change everything at once. Isolate and iterate.
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@BallinFil ·
When you're running sales with email in your store, ask yourself how you can attract the whales in your audience. These are the 1% of customers who account for 20-30% of revenue (sometimes more). A few examples you can steal: - Have your emails lead with high ticket offers then show everything else - Segment out your highest AOV audience and send them unique content that shows bigger ticket items - Run buy more save more offers - Run loyalty events in tandem with your promotions Little tweaks in your promotion can drive meaningful uplift in promo profit.
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@ecomchasedimond ·
"We do email marketing" usually means "we send campaigns." But campaigns are one layer. Ecommerce email is actually 5 systems running at the same time, and when one underperforms, the whole channel bleeds revenue. We've seen it across 150+ brands and $200M+ in email-attributable revenue. Here's the real breakdown: 1. Flows & Automations ↳ Welcome, cart abandonment, post-purchase, browse abandonment, winback. This is your revenue backbone. ↳ A solid flow setup generates 40-60% of total email revenue on autopilot. ↳ I still audit brands doing $10M+ whose welcome flow offers 10% off to customers who already bought three times. 2. Segmentation & List Health ↳ Sending the same campaign to your full list is the most expensive mistake in email. ↳ Behavioral segmentation (what they browsed, bought, clicked) crushes demographic every time. ↳ Engagement-based sending means your best buyers hear from you more, and your cold subscribers stop tanking deliverability. 3. Deliverability ↳ Everything above is worthless if your emails hit spam. ↳ SPF, DKIM, DMARC are table stakes. I've audited brands doing $5M+ that still haven't configured DMARC. ↳ Sender reputation takes months to build and one bad blast to destroy. One brand tanked inbox placement overnight by emailing 200K unengaged contacts for a Black Friday preview. 4. Copy & Creative ↳ Subject lines get the attention, but preview text does more heavy lifting than teams realize. ↳ The best-performing emails we've sent read like a message from a friend. Conversational, specific, one clear CTA. ↳ And here's the real waste: teams burn their testing budget on button colors and emoji subject lines. Test offer structure, send timing, and email length instead. 5. Data & Attribution ↳ Revenue per recipient tells you more about email health than open rate ever will. ↳ Flow-level data shows exactly where customers drop off and where revenue is sitting untouched. ↳ Every send should be an experiment. Measure like a product team, not a marketing team. Five systems, one channel. Most brands are strong in maybe two of them. Which one is bleeding you the most revenue right now?
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@parkerworth ·
What no one tells you about email marketing: - Most campaigns fail. Industry data shows only 21% of emails even get opened, and click rates hover around 2-3%. - You don't need a massive list. A 500-person engaged list outperforms 10,000 cold subscribers every time. - Rejection is built into the process. Unsubscribes aren't personal-they're actually improving your deliverability metrics. - It rewards the ones who stay consistent. The real results come after month 6, when compound trust kicks in. - Your copy is never as clear as you think. I've rewrite simple emails over and over to make sure everything is locked in.
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@timbuilds21 ·
Your emails are going to spam. Here's the exact checklist we use to get 99%+ inbox placement: Infrastructure: ☐ Pre-warmed inboxes (not fresh domains) ☐ 3 inboxes max per domain ☐ Separate domains from your main website ☐ SPF, DKIM, DMARC all configured Warmup: ☐ Warmup limit = 1.5x your cold sending capacity ☐ 22 warmup emails/day for 15 cold sends ☐ Never skip warmup, even on pre-warmed inboxes ☐ Let the platform auto-ramp (don't force it) Health Monitoring: ☐ 98% warmup score minimum to send ☐ Below 98%? Inbox gets pulled automatically ☐ Domain-level checks (one bad inbox = whole domain paused) ☐ Daily health sync across all campaigns Sending Limits: ☐ 15 sends/day per inbox (ZapMail) ☐ 20 sends/day per inbox (ScaledMail-Google) ☐ Never exceed limits, even if platform allows ☐ Spread sends across business hours The Non-Negotiables: ☐ No catch-all domains (skip them entirely) ☐ Verify every email before sending ☐ Remove bounces immediately ☐ Honor unsubscribes within 24 hours Most founders skip half of this. Then wonder why reply rates are <1%. Deliverability isn't sexy. But it's the difference between inbox and spam folder.
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@MaxGrant__ ·
Just because Gruns or some big brand has a really baller email marketing strategy you see, does it mean you should directly copy them. Sending 30 emails a month will most likely fuck up your email channel more than it will help it, especially if you're small. A brand doing two million a month is not the same as a brand doing 200k a month. Angled ideas and concepts, especially in the same industry, may very well work, and it's great to take notes. small brands need to play the ball where it lies instead of trying to do a $20 million a year strategy on a $1 million a year brand.
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@BallinFil ·
Pro email tip If you get a large amount of customers who complain that they unsubscribe but they still didn't get off the list, it's probably because your list doesn't default to unsubscribe people from email marketing. Depending on what your retention strategy, you might want to default have this checked for some of your lists... You can always have more detailed options in your footer: "unsubscribe from X reminders" and "unsubscribe from all email"
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@MaxGrant__ ·
From the last ~5 years of doing email marketing, the NUMBER ONE offer I have seen crush the hardest.... Offer stacking. Pop-up included or not. let me explain: This isn't a simple bundle & save discount. It's an extremely well thought out, heavily-tested, painfully logistically constructed front-end, high AOV offer., usually coupled with subscription Look at IM8, they aren't selling just a daily supplement. $184 a month but billed at $548 every 3, and price anchored to ~just~ $6 a day, you get: ✅Exclusive Access to 90 Day IM8 Transformation Program ✅Free Welcome Kit (USD$97 in value) Maximum savings — lowest price per serving [[THIS INCLUDES 5 SEPARATE ITEMS ON TOP OF THE 90 DAY SUPPLY][ ✅Cancel or pause anytime ✅90-Day Money-Back Guarantee Notice they include gifts at month 3 + month 6. I wouldn't be surprised if they have some of the best in class cohort retention rates in their category. The amount of value, price anchoring, and offer stacking they are doing on top of David Beckham + doctors providing the social proof you need = 9 figure brand. This backs into the pop up -> best in class offers don't need an introductory opt-in offer on top of what they are already bringing to the table. Brands are simply asking customers if they want [HIGH NUMBER] % OFF. How can they get that? the pop up offer is reflecting what's already on the LP... their subscription or bundle offer where you are saving 68% off if you choose to subscribe... This white lie creates extremely high opt-ins while preserving margins and focuses intent on the main offer they're promoting. Consider you're current front-end offer. Could you construct a couple accessories, digital downloads, and savings to create a high AOV, diabolically good offer? You can do better than 10% off. That works, and builds lists, but the end game is an extremely optimized front-end offer found through rigorous testing and value-stacking.
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@ivesparrowai ·
My email newsletter just crossed 4400 organic subscribers: > 95% of them came from the Apple Ads Guide I launched in December last year > the announcement brought in 600-1000 people > the release pulled in another 1800-2500 > another 700 came from article announcements and viral posts > another 1000 came organically through people sharing and mentioning the guide All of these subscribers came through X. Which is funny, because I now have more newsletter subscribers than followers here. I haven’t been active here or in email for the past month. Need to fix that.
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@ChrisClickUp ·
49.29% of all email opens come from Apple Mail. Apple Mail Privacy Protection auto-opens EVERY email through proxy servers. The tracking pixel fires even if the subscriber never reads it. Adoption of MPP is now above 95%. Which means nearly half your "opens" are machines, not humans. And yet every Monday morning, marketing teams across B2B SaaS sit in a meeting celebrating a 38% open rate that's inflated by 10-20 percentage points. You're not measuring engagement. You're measuring automation. The metric that actually tells you something? Click rate. Reply rate. Revenue attributed. But those numbers are smaller and less exciting to put in a board deck. So we keep reporting the fake one. The entire email marketing industry is addicted to a vanity metric and nobody wants to be the one to say it. I'm saying it.
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@Designmodo ·
Gmail's AI is changing the rules of email deliverability. It's no longer just about avoiding spam filters - Gemini now evaluates whether your email is actually useful to the reader. Authentication, engagement signals, and content quality all matter more than ever. Full breakdown 👇 https://t.co/pLR4qxtdbI
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