Email Industry Trends

Every week, connection requests land in my inbox that open the same way: "Hi, I'm a [job title] with [X] years experience. Would love to connect if you have any opportunities." or no message at all. I'm on the recruiting side at Atlassian. Most of those messages don't really land the way you hope they do. Here's the part that's hard to hear, and I say this in coaching sessions more than almost anything else. It's rarely about the experience. It's that the message could have been sent to any recruiter with a pulse. Nothing in it says you looked at my profile. Nothing gives me a reason to open it, let alone answer. The requests that do get a reply all do one thing differently. They ask me something. "Hi Sarah, I saw you recruit for backend and platform engineers at Atlassian. I've spent four years on distributed systems in a regulated environment, most recently leading a migration off batch processing. Is that the kind of experience you're seeing demand for this quarter?" One line about what she does. One specific detail about the person she's messaging. One real question she actually wanted answered. The mechanism: a recruiter's inbox works like a filter before it works like a conversation. A generic pitch reads as mass-sent because it is, so it gets treated like spam. A specific question reads as a person, and people answer questions put directly to them. That's not a LinkedIn trick. That's how anyone reads a message from a stranger. So before you send the next one: find one real thing on their profile, a post, a role they're clearly hiring for, something in their About section, and build a question around it. Not a compliment. A question you actually want the answer to. Two lines is enough. What you do and what you want to know from them. Drop "would love to connect if you have any opportunities" completely. Now you know why it's never worked. TL;DR → Delete the line that asks for something. Replace it with the line that asks about them.

🚨 AI Emails From the Full Signal Chain live in Warmly! Problem: Email sequences aren't personalized with signals Solution: Trigger AI emails to prospects if your Inbound Agent fails to convert or based on any signal. Backstory: A few months ago I pulled our own inbound report and watched 4 out of 5 qualified hand-raisers die in a generic nurture sequence written three quarters ago by someone who's not at the company anymore. It's not anyone's fault really. We all need to move fast and our marketing team can only do one thing at a time. The bottle neck is constantly moving, but so are our buyers. B2B email has always been a timing and relevance problem. Our old way of assigning signals to templated emails was too generic and goes stale the next week. A lot of our emails going out referenced the wrong price or a different feature set we no longer supported. Even if we got the signal right and sent the email at the right time, sometimes a generic email at the right moment is worse than no email at all. The high-intent moment is precious. Burn it once with a templated email and the prospect learns to ignore you. I didn't even realize that we "spent" the highest-value moments in our funnel on the lowest-quality messages. So we built AI Emails powered by the full signal chain we've been building for four years. No more templates! Drop the step into any orchestration. Some examples we use: - Inbound chat follow up: a qualified chat engager doesn't book. The AI writes the follow up from the chat log. - Intent Trigger: Bombora flags a research surge about "chatbots." AI outreach references case studies in their industry for optimizing website conversion. - Job change: Head of marketing champion moves to a new role. AI sends a welcome and intro at the new account. - Social engagement: Buyer likes a competitor's social post about website de-anonymization. They get an email about how we have the highest identification rates The agent retrieves the full signal chain on every send: chat transcript (when there is one), every page visited that session, enriched person and company data, CRM stage, and any second or third-party signal already on the account. Then it writes the email. You can see what the agent will spit out before each deploy and iterate on the example scenarios until the email reads the way you'd write. After we started implementing this into our signal orchestrator, our reply rates went from 2% to 6% (3x) Setup: open any orchestration, add the AI Email step, set the filter, write the goal and policy in plain English, test, save. Five minutes. Playbooks for each play dropping in the coming days.

Mass Outbound is Dying. For years, outbound sales was a numbers game. More emails, more calls, more meetings. And for a while, it worked. Back in 2020-2022, cold email was a goldmine. You could send 5,000 emails, book 50 meetings, and do it all over again the next day. SDR teams were stacking 50+ meetings a week with massive automated sequences. Then the numbers started slipping. 50 meetings → 40 → 30 → 20 → 10. Spam filters got smarter. Security got tighter. Prospects got exhausted. And instead of adjusting, teams made the same mistake. They sent even more emails. 1\ Outbound Success Causes Failure. For two decades, sales teams followed the Predictable Revenue formula: ↳ Hire more SDRs ↳ Scale email and call volume ↳ Book meetings through sheer persistence That playbook is dead. Inbox fatigue is real. Buyers are drowning in outreach. Response rates are in freefall. And every time outbound gets harder, companies react the same way—by sending even more. It’s a race to zero. 2\ The Sales Tech Rush The biggest sales engagement and data vendors—Salesloft, Outreach, ZoomInfo, Apollo—are stuck in a loop. Their revenue depends on more outbound activity, but the more teams send, the less effective it becomes. If they don’t evolve, their own industry will collapse under its own weight. And AI? It’s about to make things even worse. 3\ Ai Won’t Save Outbound AiSDRs are everywhere doing what I call "spamming the TAM". What that means is just sending emails to every potential company you could sell to in less than 2 quarters. 100,000 emails sent. Just another Tuesday. Before you know it every company has been hit with generic mass Ai spam using their college, dog's name, and hometown. Making Response rates will drop even further. The outbound death spiral will speed up. And the companies that bet their future on “just send more” will be left behind. 4\ What’s Next? Should we stop doing outbound? No. But we can change how we do it. In the 2010s, sending cold emails was enough. Then, personalization became the key. Now, even personalization isn’t enough. The future of outbound is Signals-Driven. Instead of targeting: ❌ “SaaS CTO at 300+ person company in the United States” Signals Are: ✅ “SaaS CTO at 300+ person company in the United States who: ↳ Recently raised funding ↳ Expanded their team ↳ Announced a new product ↳ Started a new initiative ↳ Announced a New Goal ↳ Bought a competitors product. Outbound teams that focus on Signals over Volume will win. Its why a AE who I just spoke to who uses a news alerting service to find signals, was able to reach a prospect within 15 minutes who had just posted on Linkedin about the exact problem she could solve. Picked up the phone. Nailed the SQL. "that s**t was just posted how did you even see that" - prospect And sales tech vendors? Good luck keeping up with the startups who have been working on this problem for 2 years. Am I wrong?

Every single email we send, has to pass this test. If the email still makes sense when sent to someone in a completely unrelated industry, it gets scrapped. Because if it "could" work for everyone, it will work for no one... Most people think writing generic templates saves time. It doesn’t. It just saves effort at the expense of reply rates. The real efficiency is writing emails so specific they only make sense to your ideal customer profile. That’s when replies go up and pipeline fills itself. Here’s what that looks like in practice: 👉 If you’re targeting B2B SaaS, talk CAC, churn, activation rates. Not just “growth.” 👉 If you’re targeting logistics, bring up shipping delays, warehouse systems, and fulfillment costs. 👉 If you’re targeting compliance-heavy industries, speak their acronyms. HIPAA, SOC 2, PCI. Use their language. Specificity isn’t limiting. It’s a multiplier. It gets responses, builds credibility, and makes your offer feel tailored, because it is. But the hardest part? Actually having leads worth getting specific for. That’s where A-Leads changes everything. We’re not only pulling job titles and generic firmographics. We’re layering real signals; like new tech installs, intent data, hiring trends and matching those to verified emails. That means when you do write that hyper-relevant email… …it lands in the inbox of someone who actually cares. Generic emails get deleted. Specific ones start conversations. A-Leads makes sure they happen with the right people.

Let’s talk for a sec about a real hot-button issue in B2B GTM: #personalization. We all know the narrative supporting this. It’s been in-market since 2002 or so. Billions of technology and services offerings have been created to attempt to bring scalable mass-personalization to life. The problem is, there’s growing evidence that it’s not only ineffective but undesirable. Here’s a few of the piece of evidence that are challenging the nirvana of mass personalization: 1. It hinges significantly on email and text marketing, which has engendered massive regulatory responses around the world. 2. It triggered a stiff-arm of fast-growing cybersecurity and IT countermeasures designed to eliminate automated marketing emails and texts before they even touch the relevant internal servers. As it happens, this was intensified by the fact that marketing email is one of the largest carriers of malware. Big problem, given that increasing personalization is also a major tactic of hackers and fraudsters. 3. Causal analytics tend to cast doubt on the effectiveness of email and text marketing in B2B. What is effectiveness? In this case, it doesn’t mean that someone saw the email, though being seen is clearly important. It means that email marketing was in the top quartile — certainly the top half — of all factors leading to more deals, bigger deals, faster deals, or some combination of these. The biggest reason for the fall-off in email marketing effectiveness is a split-decision between the overwhelming volumes of email marketing and the active countermeasures being taken by companies to intercept such messages before the recipient even sees them. Increasingly, your email marketing is falling into a black hole that’s beyond spam, killing a key vehicle for personalization. 4. Research has shown repeatedly that there is great value in community, particularly communities that see information or experience events together, even if it’s asynchronous in time. This increasingly suggests that “personalization” within a community is actually more powerful that making ever message hyper-personalized. This is because people trust information they know has been shared broadly more than they trust a singular 1:1 message. The reasons run the gamut from “how do they know so much about me?” to “I wonder what they’re saying to others?” 5. The inflationary pressures on all marketing channels due to the use of GenAI, and it is poisoning the well for personalization because the recipient knows its auto-generated. In other words, what was always a channel of dubious sincerity is now seen as manipulation. Which brings us to the sum-up. Personalization is no longer understood as the vendor trying to be relevant to one person. It’s seen as an increasingly manipulative and deterministic act. Forecast: By 2030, AI-driven buyer bots will centralize a new point of contact and consumption for B2B marketing, all but eliminating “direct marketing” as we’ve known it for years.

Email welcome flows are dead Not because automation has stopped working, and not because email is suddenly broken, but because most welcome flows are built on a false assumption about how people experience the inbox They’re written like introductions and designed like brochures, even though the inbox is the one place people are least emotionally available to receive either When someone joins your list, they’re not looking to be welcomed into your world; they’re trying to orient themselves, understand what they’ve just signed up for, and decide whether this relationship is going to be worth the cognitive cost The inbox is a task environment, shaped by habit, pressure, and constant triage People enter it to check, clear, find, confirm, and fix things, not to be inspired by brand stories or values-led messaging So when a new sender shows up, the brain immediately starts asking quiet but critical questions about relevance, safety, frequency, and control Most welcome flows don’t answer those questions, they talk about the YOU (the brand or business) instead Orientation (the new welcome) flows work because they flip the focus, instead of asking for attention, they reduce uncertainty Instead of assuming interest, they create lots and lots of clarity Instead of treating every opt-in the same, they recognise that someone who downloaded a PDF or grabbed a discount is in a very different psychological place from someone who actively signed up for ongoing content This is also why so many welcome flows appear to “work” in the short term but quietly damage engagement over time They generate early activity, but they don’t build trust or stability in the inbox, and once someone has mentally filed you as noise, it’s extremely hard to undo that classification I’ve written a full piece on this, including how to distinguish consequential and intentional opt-ins, how orientation flows should actually be structured, and why exclusions and pacing matter far more than most teams realise. If email onboarding is part of your growth strategy, it’s worth reading in full: https://lnkd.in/eRkuDhFN

LinkedIn loves outbound wins, so here’s the opposite: a 1,372-lead campaign that booked 0 meetings. Here’s why it didn’t work: (I've put the link to the exact campaign in comment) The context: lemlist sells to sales teams The play: target US companies actively hiring sales reps, a strong intent signal that they’re scaling outbound. The logic: if you’re adding headcount, you probably need better tooling to ramp them We connected 11 sending domains, targetting 1,372 leads with 7-step email + LinkedIn sequence. The result: 0 meetings booked. Here’s what the campaign data actually revealed : 1️⃣ The reply-to-interest ratio exposed the real problem 32 replies. 1 interested. That’s a 97% objection rate. High opens + low replies = subject line works, body doesn’t. High replies + low interest = you’re generating friction, not pipeline. → Diagnosis: The copy opened conversations that couldn’t convert. Read those 31 objections, they’re telling you exactly what’s broken. 2️⃣ The value prop was diluted across five angles Email 1 pitched: multi-channel, LinkedIn automation, enrichment, deliverability, AND competitive displacement (Outreach/Salesloft). That’s not positioning. That’s a feature changelog. → Rule: One email = one argument. Stack angles across the sequence, not inside a paragraph. 3️⃣ The personalization was performative “I know you’re different!” after a generic opening. Prospects pattern-match. They’ve seen this template. Now you’re not just ignored, you’re categorized as noise. → Fix: Specific > flattering. Reference their tech stack, a recent hire, a podcast quote. Or skip personalization entirely — honest generic beats fake personal. 4️⃣ The frame collapsed by email 2 Email 1: “37,000 sales orgs use us” (confident) Email 2: “cough, lemlist, cough” (trying too hard) Email 3: “I know change is hard” (therapist mode) LinkedIn: “I hope I’m not overstepping” (apologetic) → Rule: Maintain conviction across the sequence. If you don’t believe your outreach is valuable, why would they? 5️⃣ The trigger-to-pitch gap was too wide Trigger: “You’re hiring sales reps” Pitch: “Evaluate new outbound software” Those aren’t connected. Hiring managers are thinking about ramp time, quota attainment, onboarding friction — not tool consolidation. → Fix: Match the trigger to a pain they feel because of that trigger. “Hiring 3 reps in Q1? Here’s how [Company X] cut ramp time by 40%.” 6️⃣ LinkedIn DM2 outperformed everything but nobody saw it 9.7% reply rate on the second LinkedIn message vs 0.45% on email 1. But only 103 leads reached that step. 1,269 dropped off before the highest-converting touchpoint

Most cold emails get <1% reply rates. Mine get 10%. Here's why yours are failing: I run a 34-person agency and have tested every cold email "hack" out there. Most don't work. Here's how I actually write cold emails that get replies... and the 3 rules that changed EVERYTHING ↓ ✅ Emails that start with real triggers I get emails like "Saw you're expanding your team based on your recent LinkedIn post about hiring." That's a real trigger. They saw something specific I did. Compare that to "I noticed you work in sales", - which could apply to 10 million people. Pro Tip: Use Clay to track job changes, funding announcements, or social posts. ✅ Emails that name pain + solution immediately "Hiring 10 new SDRs usually means 6-month ramp time is killing your quota attainment." They connected my trigger to a specific pain I'm probably feeling. Then: "We helped [Similar Company] cut ramp time to 6 weeks using our onboarding system." Solution + proof in one sentence. ✅ Emails that give 100% value upfront "They increased quota attainment 73% in Q1 by implementing our 3-week sprint methodology." Full value. Real numbers. Specific outcome. Stop holding back value, thinking it will book you a meeting. ❌ Generic template emails "Hope you're doing well" emails get deleted instantly. If I can tell you, copy-pasted the same message to 100 people, I'm out. ❌ Emails asking for time on the first message "Do you have 15 minutes for a quick call?" No context. No value. Just asking for my time, will get ignored every time. ❌ Emails without specific proof "We help companies scale their sales teams." Cool story. So do 10,000 other agencies. → Where's the proof? → Which companies? → What results? Here's my actual template: "Hi [Name], Saw you're [specific trigger]. Usually, that means [pain point]. We helped [Company] go from [before] to [after] using [method]. They saw [specific result] in [timeframe]. Mind if I share the 3-step process we used? Best, Alex" Everyone OVERTHINKS cold email. They think they need perfect subject lines or AI personalization tools. But if you nail trigger + pain + value, nothing else matters. The pain has to connect to their trigger logically. And the value has to be specific. → Real companies → Real numbers → Real results One more thing: Free work beats everything. "Mind if I build you a custom lead list for your new SDR team and send it over?" That gets replies every time, because you're solving their problem before they even ask. Bottom line: Stop trying to be clever. Start being helpful. When your email actually helps someone, they want to talk to you. 🎥 Want to see me how I write these emails? I break down my entire cold email process (with real examples) in last week's YouTube video. Link in the comments 👇

We sent over a million cold emails in 2025. Here is what actually works: Sub-80 words. Every time. The longer the email, the lower the reply rate. People are busy. Respect their time. A strong front-end offer. If your offer is weak, no amount of clever copy will save it. Messaging tailored to the industry and job title. Generic emails get deleted. Relevant emails get replies. Reference something recent and relevant. Show them you did your homework. A single specific detail does more than a paragraph of flattery. A founder brand that backs it up. Before someone replies, they look you up. Your LinkedIn, your website, your social presence. Make sure it holds up. A casual, easy-to-read tone. Write like a human. Nobody wants to read a press release in their inbox. A pattern disrupt in the opening line. The first sentence determines whether the second one gets read. Make it stop them. A subject line under five words. Short wins. Always. Case studies in the follow-ups. The first email sparks curiosity. The follow-up builds belief. A million emails is a long way to learn what should have been obvious.

If you're telling me email marketing is dead in 2025, I've got $240,250 in revenue that says you're wrong. And we did it in 90 days with a client who'd sent just one email campaign before working with us. Let me show you exactly what we did. Adegen was a modern hair care brand with everything going for them. Proven product, strong brand, good following, solid revenue. Just one problem. They thought email marketing was dead. They'd sent one random campaign, generated a few sales, then gave up because "email doesn't work anymore." Sound familiar? Most brands are sitting on goldmines they don't even see. First thing we did was throw out everything you're "supposed" to do in hair loss marketing. Most companies go heavy on masculine marketing. Aggressive messages about fighting hair loss, dark colors, bold claims. We went the opposite direction: - Clean, science-focused design - Clear visual hierarchy - Specific color psychology - Information that helps people Our first weekly tip about hair care brought in $7,475 with a 58.4% open rate. Because we stopped selling and started helping. Most email marketing fails by blasting the same message to everyone. We split everything into specific segments: - First-time buyers get different content - Product-specific purchasers saw relevant upsells - Non-buyers after 60 days got different messaging - High-value customers got special treatment Open rates jumped to 56-58% because people got the information they wanted. Next, their popup was the typical "value over discount" play, offering a free ebook. The old revenue in 60 days? $1,188. We tested a straight $20 discount instead. No fancy value proposition. The result? $16,126 in 30 days. Sometimes simple beats clever. The biggest revenue driver was basic customer support done right. We built a post-purchase sequence that helped people succeed: - Daily progress tracking - Photo guides showing real results - Usage calendars - Regular check-ins This sequence: $61,937 in 90 days. Here's a summary of what changed in 90 days: BEFORE: 33,712 Recipients → $10,654 Revenue (6.7% of store revenue) AFTER: 274,365 Recipients → $240,250 Revenue (36.48% of store revenue) The key metrics: - 51.93% Average Open Rate - 41.9% Increase in Total Store Revenue - 62.5% Growth in Email List The most skeptical clients usually have the biggest opportunities. They've ignored basic marketing channels that could transform their business. They're too busy chasing the next big thing to fix what's right in front of them. Email marketing isn't dead. Bad email marketing is dead. Most brands are leaving millions on the table because they won't do the simple things that work. Want results like this? Message me