Email Performance Issues

We analyzed 4 million recruiting emails sent through Gem. Most get opened. But only 22.6% get replies. Half those replies are "thanks, but no thanks." We dug into what actually works. Here are 8 factors that drive REAL responses: 1. Strategic timing beats everything else - 8am gets 68% open rates. 4pm hits 67.3%. 10am lands at 67% - Most recruiters blast at 9am when inboxes are flooded - Avoiding peak times alone can boost your opens by 7-10% 2. Weekend outreach is criminally underused - Saturday/Sunday emails get ≥66% open rates consistently - Why? Empty inboxes. Zero competition. Candidates actually have time - Yet few recruiters send on weekends. Their loss is your gain 3. Keep messages between 101-150 words - Shorter feels spammy. Longer gets skimmed - You need exactly 10 sentences to nail the essentials - Every word beyond 150 drops performance 4. Generic templates kill response rates - Generic templates: 22% reply rate - Personalized outreach: 47% increased response rate - Even adding name + company to subject lines boosts opens by 5% 5. Subject lines need 3-9 words - Include company name + job title for highest opens - "Senior Engineer Role at [Company]" beats clever wordplay - 11+ words can work if genuinely intriguing, but why risk it? 6. The 4-stage sequence is optimal - One-off emails are dead. Send exactly 4 follow-up messages - You'll see 68% higher "interested" rates with proper sequencing - After stage 4, engagement completely flatlines. Stop there 7. Get the hiring manager involved - Having the hiring manager send ONE follow-up boosts reply rates by 50%+ - Yet most recruiters don't use this tactic - Weekend advantage: Minimal competition for attention 8. Leadership involvement is a cheat code - Role-specific timing (tech vs non-tech) matters - Technical roles: 3 of 4 best send times are weekends - Engineers check email differently than salespeople. Adjust accordingly TAKEAWAY: These aren't opinions. This is what 4 million emails tell us. Most recruiting teams are stuck in 2019 playbooks wondering why their reply rates won't budge. Meanwhile, recruiters who implement these 8 factors see dramatically better results. The data is right there. The patterns are clear. The only question is: will you actually change how you operate? Or will you keep sending the same tired emails at 9am on Tuesday? Your call.

Most email problems aren’t creative problems. They’re funnel diagnosis problems. Marketers obsess over the CTA. But performance usually breaks long before the click. If you don’t measure the entire email funnel, you’ll fix the wrong thing. Here’s the real email funnel: 1. Sent → Delivered If it’s not delivered, nothing else matters. Measure: bounce rate, block rate, domain/IP reputation. If you have inbox placement issues, stop rewriting copy. 2. Delivered → Opened Low opens? It’s either inbox placement or subject line resonance. Measure: spam placement rate, inbox placement, open trends by segment. Don’t debate emojis if you’re in spam. 3. Opened → Clicked Now it’s messaging. Measure: CTR, unique clicks, engagement by segment. This is copy, design, clarity. 4. Clicked → Page Visited Measure: link health, load speed, tracking integrity. Broken links quietly destroy revenue. 5. Visited → Conversion Now it’s offer, UX, pricing, trust. Every stage compounds. If you have deliverability problems and you’re debating button color, you’re solving stage 3 while stage 1 is broken. Great email marketers diagnose before they optimize. Where’s your leak?

Attention is easy. Relevance is hard. Our email metrics are teaching us this lesson right now. We're seeing close to 50% open rates on our cold email sequences. This is across multiple campaigns. People are opening multiple times. Scrolling through. Coming back to it. But our response rate is sitting at 1-2%. At first glance, that open rate feels like a win. It's not. High opens with low responses just means you got their attention—but you didn't earn their time. The gap between interest and action is specificity. People are curious enough to open. They might even be intrigued enough to read it twice. But if your message is vague about what you actually do, or how it solves their specific problem, they're not going to respond. Curiosity isn't enough to get someone to take a meeting. We're in the business of helping companies build and expand products through augmented engineering teams. But "we help you build your product" is too generic. What they actually need to know is: What roles are you helping us fill? How fast can we scale? What's the quality bar? Can we test this before committing? The specificity matters. Not just in copy, but in understanding what problem they're trying to solve right now. Are they expanding a team? Replacing someone who left? Building a new function? If we don't know that, our message, no matter how well-written, lands flat. So we're doubling down on personalization based on actual signals. Understanding what roles they're hiring for. Matching our capabilities to their needs. Leading with social proof that's relevant to their situation. And making it dead simple to try our service with zero commitment. The lesson: getting someone to open your email is easy. Getting them to care enough to respond requires you to actually understand what they need, and proof you can deliver it. Attention is cheap. Relevance is what converts.

Years ago, I watched one of the best enterprise salespeople I've ever known lose a million-dollar deal simply because "𝗜 𝗱𝗼𝗻'𝘁 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗯𝗲 𝗽𝘂𝘀𝗵𝘆". This brilliant, capable professional was letting million-dollar opportunities slip away because she was afraid of seeming aggressive. Sound familiar? Here's the reality I've found after analyzing thousands of sales interactions: The average B2B purchase requires 8+ touches before a response, but most salespeople give up after 2-3. 𝗧𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗶𝘀𝗻'𝘁 𝗳𝗲𝘄𝗲𝗿 𝗳𝗼𝗹𝗹𝗼𝘄-𝘂𝗽𝘀—𝗶𝘁'𝘀 𝗯𝗲𝘁𝘁𝗲𝗿 𝗼𝗻𝗲𝘀. Working with clients across industries, I've developed what some have called the "Goldilocks Sequence" – not too aggressive, not too passive, but just right for maximizing response rates without alienating prospects. It starts with how we view follow-ups. Stop thinking of them as "checking in" and start seeing them as opportunities to deliver additional value. For each client, we build what I call a "Follow-Up Content Library" with 5-10 genuinely valuable resources for each buyer persona – a mix of their content and third-party research addressing likely challenges. Having this ready means follow-ups can pull the most relevant resource based on the specific situation. The sequence itself has a rhythm designed to respect the prospect's time while staying on their radar: 𝗗𝗮𝘆 𝟭 is the initial value-focused outreach with a specific insight (never generic "I'd like to connect" language). Around 𝗗𝗮𝘆 𝟯, we send a gentle bump, forwarding the original email with: "I wanted to make sure this reached you. Any thoughts on the [specific insight]?" It's brief and assumes positive intent. By 𝗗𝗮𝘆 𝟱, we shift to an alternative channel like LinkedIn, with a personalized note referencing the insight, but still no meeting request. Around 𝗗𝗮𝘆 𝟴 comes the pure value-add – sharing a relevant resource with no ask attached: "Came across this [article/case study] that addresses the [challenge] we discussed. Thought you might find it valuable regardless of our conversation." 𝗗𝗮𝘆 𝟭𝟮 brings what I call the "pattern interrupt" – a brief email with an unexpected subject line and single-question format that's easy to respond to. Then, around Day 18, we send the "permission to close" message: "I'm sensing this might not be a priority right now. If that's the case, could you let me know if I should check back in the future? Happy to remove you from my follow-up list otherwise." This sequence generated a 34% response rate for an enterprise software client compared to their previous 11% using traditional methods. The key difference? Every touch adds legitimate value rather than just asking for time. And because it's systematic, it removes the emotional weight of deciding when and how to follow up. What's your most effective follow-up technique? I'm always collecting new approaches to share with clients. #SalesFollowUp #OutreachStrategy #PipelineGeneration

Marketers, are you still measuring email the old way? We get told email is dead, but everyone reading this has most likely read an email, logged in using it & made a purchase with it. So it's not dead, but how we judge its effectiveness hasn’t evolved fast. We’ve relied on open rates & click-through rates (CTR) — metrics that, frankly, are no longer fit for purpose. Why open rates are no longer reliable Open tracking depends on image loading, which Outlook often blocks, & Apple & Gmail preload by default. As a result, you might see machines open, not human ones. And proper visibility is vanishing with more “text-only” creatives or image-blocked environments. And CTR? It’s got its own problems Think about user intent. If a customer reads “50% off this weekend” in your subject line, they may just go straight to your site—no click needed. Even Gmail’s AI summarising content & extracting voucher codes means users engage without clicks. Email is quickly becoming a powerhouse for brand awareness, but it doesn't have the metrics to prove this. So, what should we look at? As the rest of adtech races toward incrementality, attention, and post-impression attribution, email needs to catch up. Here’s how: 1. Conversion Attribution (Beyond Last Click) Don't stop at click-based conversions. Track who received the email, & assign influence weightings to openers, clickers, & even non-clickers who later convert. This mirrors how display and social now assess "view-through" impact. 2. Frequency & Multi-Touch Engagement Did the recipient open on mobile in the morning, revisit via desktop, & convert on payday? That’s a multi-touch journey. Look at repeat site visits, device switching, & re-engagement post-send. 3. Pay Day or Trigger-Based Lift Create holdout groups and measure uplift around high-conversion moments (e.g., end-of-month). This mirrors the incrementality testing often used in paid social or programmatic, proving that email drives behaviour, not just volume. 4. Attention Metrics Use tools to estimate dwell time on emails or the time between opening& clicking. These are soft proxies for intent, similar to how platforms measure scroll depth, hover rate, and ad exposure time in other channels. 5. Site Quality Metrics Did email recipients spend longer on site, view more pages, or have higher AOVs? Your session quality tells you if email delivers high-intent traffic, something brands already monitor from Google Ads or affiliates. 6. Ask them! Simple, but powerful: survey your audience. What emails did they find valuable? Did it change their behaviour? Self-reported attribution, done well, can give you what click-tracking can’t. Email deserves more credit than. If adtech is shifting toward attention, incrementality, & deeper behaviour analysis, email should, too. Let's measure actual impact, not just opens & clicks. I bet you will discover that email isn't just for conversion but also a branding-building superpower.

POST-4/7👉 Email used to be a megaphone. In 2025, it’s a whisper in a very specific ear. Gone are the days when “blast to all” could pass as a strategy. In fact, that approach in 2025 is actively hurting your deliverability. Email Service Providers (ESPs) like Gmail, Yahoo, and Outlook are no longer just evaluating your IP health—they’re scoring your sender behavior at the recipient level. That means if 40% of your list is cold or disengaged, Gmail sees you as the problem—not just the user. ⚠️ Real Consequence: 1. We audited an ecommerce fashion brand with 220K contacts. Over 92K of them hadn’t clicked a single email in 90+ days. Gmail flagged them for bulk spam behavior, and inboxing fell from 78% to 46% overnight. 2. They were running promos weekly. Nothing was technically broken—but nothing was relevant. That’s what got them crushed. What Micro-Segmentation Solves in 2025: ✅ Reduces spam complaints ✅ Increases engagement velocity ✅ Signals positive intent to inbox providers ✅ Unlocks higher revenue per send with smaller cohorts Micro-Segmentation Tactics That Work Now: 1. Behavior-Based Journeys: Forget static tags. If someone viewed winter boots but didn’t buy, your next 3 emails better talk about warmth, snow, or style—not your general spring lookbook. ✅ Klaviyo + Shopify data lets you trigger flow branches based on: Last viewed product category Cart abandonment by SKU group Pages viewed in session (via UTMs or on-site behavior) Pro Tip: Use dynamic content blocks inside campaigns to adjust hero sections based on browse activity without cloning entire flows. 2. Lifecycle Automation by Spend Velocity This isn’t “new vs returning” logic anymore. In 2025, flows shift based on: Time since last order AOV trends SKU replenishment cycles Example: First-time customer who hasn’t returned in 30 days → “2nd purchase incentive” High-value buyer within 7 days → “VIP early access” Customer inactive 60+ days → Winback + dynamic offer block + channel sync suppression 3. AI-Supported Clustering Tools like RetentionX, Lexer, and even Klaviyo’s predictive analytics are now building multi-dimensional customer clusters using: Purchase frequency Channel source Time to second order Category loyalty It’s loyal mid-value buyers who shop monthly but only when free shipping is offered. ✅ What to do: Export these clusters to your ESP Build messaging that maps exactly to their past actions Suppress low responders from paid channels and warm email instead. Ready to Execute? Create 5 foundational micro-segments: 1. High spenders 2. First-time buyers 3. VIPs (CLV > 2.5x avg) 4. Dormant >90 days 5. Active clickers, no conversion Test 2 cadences per segment: VIPs: 4x/month + early access Dormant: 1x/month reactivation with content—not promos Use Recency, Frequency, and Monetary score buckets to tag customers and let your automations react to movement between them. #EmailMarketing #email

Your cold email setup is constantly breaking down.   You send 1,000 cold emails. Only 200 people open them. 400 never even reached the inbox.   They landed in spam. Promotions. Or worse, they disappeared completely.   You blame your subject lines. Your copy. Your timing.   Meanwhile, the real problem is invisible: You don't know where your emails actually land.   I discovered this the hard way when my lead gen campaigns started tanking. Perfect copy, solid personalization, but terrible results.   Then I came across ESP-level placement testing by Saleshandy and finally had a solution.   Instead of guessing, you can actually see where your emails land across providers:   ➡️ Gmail → Outlook: How your Gmail emails perform in Outlook inboxes ➡️ Cross-Provider Analysis: Full visibility across Yahoo, Zoho, Exchange ➡️ Real-Time Testing: Schedule daily/weekly checks or run one-time tests   Here's what I found:   • 60% of my "personalized" emails were hitting spam because of one word • My domain was blacklisted on 3 providers (I had no idea) • Emails to Yahoo users had 80% spam rate vs 20% for Gmail • My authentication was broken for 2 months   No more flying blind.   I've been using this Inbox Radar feature and the data completely changed how I approach deliverability.   My biggest takeaway: Test placement before you scale. Your domain reputation depends on it.   Over to you: How do you currently know if your emails are hitting the inbox?

How to spot if your email setup is killing your outreach results-step by step. Most people blame their copy, their offer, or their timing when emails flop. But the truth? Bad deliverability ruins more deals than a boring subject line ever will. I see it all the time: - You send a killer sequence - Open rates tank - Replies disappear - No one knows why (Been there. Not fun.) Here's what usually hides behind poor performance: 1️⃣ Shared IP headaches → You send from the same server as 200 random businesses → Someone else spams, your reputation takes a hit → Your emails land in junk, even if you do everything right 2️⃣ Messy infrastructure → No clear ownership → Hard to diagnose what went wrong → You spend hours chasing shadows 3️⃣ Unpredictable results → Some days, great replies → Other days, nothing → You lose trust in your own system SmartServers from Smartlead change this game. No more shared IP roulette. No more guessing who tanked your sender reputation last night. No more “why do my emails all go to spam?” drama. Instead, you get: - Dedicated sending power (your own lane, no traffic jams) - Cleaner reputation (fewer spam signals) - Easier troubleshooting (when the rare issue pops up, you know where to look) - More predictable results (open, reply, conversion rates that make sense) If your outreach feels like rolling dice, your infrastructure could be the weak link.

Most emails don’t underperform because they’re bad. They underperform because they make the reader think too much. Here’s what I look for when reviewing an email. If a reader has to: figure out why the email matters decide what to click interpret what happens next The email is doing extra work it doesn’t need to do. High-performing emails reduce decisions. When I review an email, I scan for friction points like: multiple links competing for attention vague CTAs that don’t say what happens next long explanations before the main point extra context that isn’t required to act Each one adds a small pause for the reader. One pause usually doesn’t matter. Several pauses add up. Strong emails feel simple on purpose. You quickly understand: why you opened it why you’re reading what to do next That simplicity isn’t accidental. Someone made clear decisions so the reader wouldn’t have to. If an email feels “fine” but doesn’t perform, this is usually why. P.S. Save this and use it the next time an email looks good but doesn’t get the result you expected.

Your emails might be going straight to spam... and you don't even know it. After sending 150M+ emails for 70+ brands, here are 4 warning signs your deliverability is tanking: 1. Open Rates Below 20% If your open rates are consistently under 20%, your emails are likely going to spam. Why? Inbox providers like Gmail and Yahoo use engagement metrics to determine if you deserve the inbox. Low open rates send a clear signal: "This sender's content isn't valuable enough." 2. Klaviyo Score Below 65 This is Klaviyo's internal metric that measures: 🔹 Bounce rates 🔹 Spam complaints 🔹 Engagement rates 🔹 Sending patterns Think of it like a credit score for your email program. Below 65 = You're in trouble. Anywhere above 75 is the sweet spot. 3. Your Test Emails Land in Spam Here's a quick test: Send a campaign to your personal email address. If it lands in spam for you... It's landing in spam for everyone else too. Pro Tip: Check across different email providers: 👉 Gmail 👉 Yahoo 👉 Outlook 👉 Apple Mail 4. Sudden Revenue Drop If your email revenue suddenly dropped 30-40%, it's likely due to deliverability. One client thought email marketing "stopped working." Truth was: They weren't reaching the inbox anymore. Most brands blame their: ❌ Copy ❌ Design ❌ Offers ❌ Send times When really, their emails aren't even being seen. Don't let deliverability issues kill your email revenue. ------ Need help diagnosing your email deliverability? Get our 44-Step Deliverability Checklist + Guide in the comments.