Why valid email addresses don't guarantee results

A few months ago, I ran a big test: out of 100,000 verified emails (from large orgs), how many actually belong to the right person? Result? Only 74%. (we tested that through email signatures, direct responses, and social scraping) The reason this happens is that most email finders use a simple pattern-matching algorithm. For example: To find Jason Fischer, they try things like j(.)fischer(@)company(.)com… Until there is a positive signal suggesting it’s a valid email. But here’s where it gets tricky (and risky): That “valid” email might belong to John Fischer, not Jason Fischer. (Jason joined the company later and got ja(.)fischer(@)… instead.) The result? Your outreach lands in someone else's inbox. So basically wasted effort & damaged trust (and probably marking you as spam). Check the screenshot. That’s why we at BetterContact stopped relying on pattern-guessing alone. Instead, we shift more and more towards verified databases. This ensures the emails we find are actually the *right * email, not just a valid one. You don't need VALID emails, you need the RIGHT emails.

The Email secret 90% of Marketers miss: And It’s Not Just About Open Rates! I once helped a client discover that 30% of their “engaged” email list was full of dead ends. This was also affecting conversions and revenue. The culprit? Bounces. But not all bounces are created equal—and ignoring the difference could tank your sender reputation. Here’s the breakdown: 𝗦𝗼𝗳𝘁 𝗕𝗼𝘂𝗻𝗰𝗲𝘀 (𝗧𝗵𝗲 “𝗠𝗮𝘆𝗯𝗲” 𝗭𝗼𝗻𝗲): Temporary delivery failures. Causes: Full inboxes, server outages, or temporary blocklisting. Fix: Wait it out. If it happens 3 times in a short span, remove the address. 𝗛𝗮𝗿𝗱 𝗕𝗼𝘂𝗻𝗰𝗲𝘀 (𝗧𝗵𝗲 “𝗡𝗲𝘃𝗲𝗿” 𝗭𝗼𝗻𝗲): Permanent failures. Causes: Invalid addresses (typos like “gmial.com”), abandoned accounts, or catch-all inboxes that silently swallow (catch-all status) emails, even after you verified the list. Fix: Remove these immediately. Sending to them repeatedly flags you as spam. 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: Clean lists = higher engagement = better ROI. ISPs track bounce rates to decide if you’re a spammer. Weekly list audits prevent deliverability disasters. 𝗪𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝗯𝗲 𝘆𝗼𝘂𝗿 𝗮𝗰𝘁𝗶𝗼𝗻 𝗽𝗹𝗮𝗻? - Ask your email service provider how they handle bounces (do they auto-retry soft ones?). - Scrub hard bounces after the first failure. - Monitor soft bounces like a hawk—3 strikes, they’re out. - Test-drive solutions like EmailAddress.ai to pre-verify addresses and avoid guessing which emails are valid, catch-alls, or outright spam traps. As someone who’s spent 20+ years in B2B data industry, I’ve seen companies lose deals because their “perfect” email list wasn't perfect after all. Tools that separate real leads from dead ends turn your data into a revenue engine—not a liability. Seeing bounce issues as well? DM me for a chat! #EmailMarketing #B2BData #LeadGeneration #GTMStrategy

I just watched countless tools completely fail the same "email death" test. Only one passed. And it wasn't the "industry leader." Here's what happened: Catchall emails are the silent killers of cold outreach. You know those @company.com addresses that accept everything but deliver nothing? Most verification tools either: Mark them as "unknown" (useless) Worse... call them "valid" (dangerous) So you send. They bounce. Your domain gets flagged. Game over. 🚫 But last week, someone ran a head-to-head test. 13 popular email verification tools. Same catchall addresses. Same conditions. 12 tools failed miserably. Icypeas? Nailed every single one. Not just identified them correctly. Actually told you which ones would bounce vs. which might deliver. → Catchalls properly flagged → Bounce rates dropped 40% → Reply rates went up 2x Most founders are still playing email roulette with their domains. You don't have to. If you're serious about outreach, stop guessing which emails work. Get the tool that actually knows. *A note for founders.* P.S. Still using your current email verification tool? How's your bounce rate looking? 

𝟭 𝗶𝗻 𝟱 𝗦𝗗𝗥𝘀 𝗱𝗼𝗻'𝘁 𝗹𝗮𝘀𝘁 𝗮 𝘆𝗲𝗮𝗿. According to HubSpot's 2024 State of Sales report (with Orum), 21% of SDRs either leave or are let go within 12 months. There are multiple factors at play here, but I've noticed one consistent issue that's systematically undermining SDR success... Old school sales teams pull lists from Apollo or ZoomInfo thinking they're covered. They load 10,000 contacts into Salesloft and start executing. But when you actually analyze the data quality: • 15% of emails bounce immediately • 20% are outdated (role changes, company switches) • 10% are just missing    That 10,000 contact list? You're probably working with 5,500 valid contacts at best. 𝗬𝗼𝘂'𝘃𝗲 𝗹𝗼𝘀𝘁 𝟰𝟱% 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗧𝗔𝗠 𝗯𝗲𝗳𝗼𝗿𝗲 𝗲𝘃𝗲𝗻 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴. Now think about this from the SDR's perspective. They're doing everything right: Showing up daily, mastering their craft, understanding prospect problems deeply. They're building trust, learning from mistakes, giving value before asking for anything in return. But when 45% of their outreach never reaches an inbox, all that skill development becomes irrelevant. 𝗔𝗻𝗱 𝘁𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗰𝗼𝗺𝗽𝗼𝘂𝗻𝗱𝘀: Invalid data doesn't just mean lost opportunities. It actively damages your ability to reach the valid contacts you do have. High bounce rates tank your domain reputation, which pushes even legitimate emails into spam folders. It becomes a negative feedback loop that's incredibly hard to break. 𝗬𝗼𝘂'𝗱 𝗯𝗲 𝘀𝗵𝗼𝗰𝗸𝗲𝗱 𝗯𝘆 𝘁𝗵𝗲 𝘀𝗶𝘇𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗱𝗼𝗶𝗻𝗴 𝘁𝗵𝗶𝘀. I personally spoke with one company (250+ employees) just in the last 2 weeks — blasting spam cannons from their main domain and then wondering why outbound doesn't work. Actually crazy. Instead of accepting incomplete data as an industry standard, tools like Prospeo.io take a different approach. They find and validate emails that don't exist in the major databases, essentially rebuilding your TAM from the ground up. From my experience, proper enrichment can: • Increase TAM coverage from 55% to 85% • Keep bounce rates below 2% • Maintain domain health for consistent deliverability    SDR success isn't just about sales skills anymore. It's about infrastructure and data quality. You need both to win. Perfect messaging means nothing if it doesn't reach the inbox. Understanding customer pain is worthless if you can't reach decision makers. Even the best SDRs in the world can't overcome a 45% data handicap. Leadership teams need to recognize this: SDRs aren't failing at sales. They're being set up to fail by inadequate data infrastructure. Fix the foundation first. Then watch what your SDRs can actually accomplish. Your TAM isn't as small as you think -- you're just not reaching it. _____________________________________________ P.S. If you think this might be an issue in your org, let me know and I'll show you the set-up to fix it on the spot.

Cold email isn’t hard. Sending it to the wrong people is. I learned this the expensive way. Early on, I obsessed over copy. Hooks. CTAs. Personalization. Everything looked sharp. Yet results kept falling flat. Replies dropped. Bounces crept up. Domains warmed slower than expected. The copy did not suddenly get worse. The list did. Here’s the uncomfortable truth most teams miss 👇 ✦ “Valid” does not mean safe ✦ Catch-all emails are not neutral ✦ Old data quietly poisons new campaigns I have seen great copy fail on bad data. I have never seen bad copy sink a clean list this fast. One list audit changed how I think about cold email forever. ➜ 22% of emails were catch-alls ➜ 9% looked valid but were high risk ➜ Spam traps were hiding in plain sight Once we cleaned and scored the list, nothing else changed. Same copy. Same offer. Same ICP. Replies came back. Deliverability stabilized. Confidence returned. Cold email does not fail because of words. It fails because of who you send them to. Takeaway 👇 If your campaigns feel random, stop rewriting. Start auditing your data. 𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝗺𝗲 𝘁𝗼 𝗾𝘂𝗶𝗲𝘁𝗹𝘆 𝗹𝗼𝗼𝗸 𝗮𝘁 𝘆𝗼𝘂𝗿 𝗹𝗶𝘀𝘁 𝗮𝗻𝗱 𝘁𝗲𝗹𝗹 𝘆𝗼𝘂 𝘄𝗵𝗮𝘁’𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴, 𝗗𝗠 𝗺𝗲.

I tested every major email validator with the same 2,451-email list. The results? Most validators are leaving 30-50% of your B2B prospects on the table. Here's what I found... The Catch-All Problem: ~30% of B2B email addresses are catch-alls (domains that accept mail to any address). Most validators can't verify them, so they mark them "risky" or "unverifiable." You're stuck with two bad options: → Send to them anyway and risk hard bounces (destroys sender reputation) → Skip them entirely and lose 30% of your reach Head-to-Head Comparison: I ran the same list through MillionVerifier, ZeroBounce, NeverBounce, and OrbiSearch. MillionVerifier: 4% validated (102 emails) 95% marked "Risky" (2,336 unverified) ZeroBounce: 30.72% validated (753 emails) 58.51% catch-alls they couldn't verify (1,434) NeverBounce: 26.3% validated (646 emails) 56.9% marked unverifiable (1,395) OrbiSearch: 53.8% validated (1,319 emails) 46.2% risky (1,132) That's 11.5× more catch-alls validated than MillionVerifier. Why This Matters... On a 10,000-email list with 30% catch-alls (3,000 prospects): MillionVerifier validates ~120, you lose 2,880 ZeroBounce/NeverBounce validate ~900, you lose 2,100 OrbiSearch validates ~1,600, you lose 1,400 That's not a rounding error. That's the difference between hitting your pipeline goals and leaving qualified prospects on the table. How It Works: Most validators check if a domain is catch-all, then give up. OrbiSearch uses dual-layer verification: Standard SMTP validation identifies catch-alls Proprietary detection verifies if the specific mailbox exists Result: Instant validation (under 10 minutes for 10K emails) with zero false positives. No waiting 48-72 hours like email-sending validators. Get results immediately while your leads are hot. The Bottom Line: If you're running cold email and want to maximize reach without destroying sender reputation, catch-all resolution is the game. I built OrbiSearch because I needed this for my own agency campaigns. Now I'm using it exclusively. You can test it yourself—100 free credits (500 validations) when you sign up. No credit card required. Run your own comparison. See the difference.

A client got their main domain blacklisted All because of a 5% bounce rate Even though you should never be sending from your main domain; Most founders think deliverability is about avoiding "spammy" words It's not It's about list hygiene And most people skip this step entirely I used to think email verification was optional too in the beginning "My lists are fresh from scraping, they'll be fine." I was dead wrong Even "fresh" data contains: - Catch-all emails that bounce randomly - Typos that destroy your sender score - Deactivated addresses that look valid One bad campaign can kill months of domain warming Here's what changed everything for me (and the client): I started running every single email through Bouncer Before it touches my sending domains No exceptions Most verifiers give you a simple yes/no Bouncer gives you a risk score It shows: - Which emails are spam traps - Which addresses are toxic - Which catch-alls will actually hurt you This lets you make smart decisions instead of gambling The results? - Bounce rates dropped under 1% - Domains stay healthy for months - No more losing domains to bad data So keep this simple rule: Every email gets verified before it enters your sending platform Because your deliverability isn't about what you write It's about who you're sending to

Besides your offer-market fit and your copy, deliverability infrastructure is critical for cold email success. Deliverability fundamentals determine if your email ever gets seen in the first place. After analyzing data from our platform, here are 3 critical technical factors that matter: 1️⃣ Technical Setup → Use secondary sending domains (not your main domain) → Properly configure SPF, DKIM, and DMARC records → Send from clean and rotating IP addresses → Implement proper warmup procedures 2️⃣ Lead Quality → Verify every email before sending → Remove non-existent addresses → Minimize bounces → Target the right decision-makers 3️⃣ Message Optimization → Eliminate spam trigger words → Remove images in first outreach → Send plain text (no HTML) → Avoid links in initial contact The difference between high and low response rates often involves these technical fundamentals. Most cold email failures happen before anyone even reads your message - your emails simply aren't reaching the primary inbox. Technical implementation that works: → Start with properly warmed domains → Use ESP matching (Google to Google, Outlook to Outlook) → Implement IP rotation systems → Monitor deliverability metrics Without these foundations, even the best copy won't generate results. Managing this infrastructure used to require technical expertise, but now you’ve got the tools to handle it automatically while you focus on your message and targeting.

❌ Hey RevOps - has your sales team ever dropped a “valid” email address into a sequence, only to have it disappear into the void? Welcome to the world of catch-all emails - where domains accept any and everything thrown their way, meaning sometimes it lands in a real inbox 📥 or sometimes a black hole. 🌌 So why should RevOps care? Because bad data = bad decisions. If your email verification tools aren’t flagging catch-all domains, you might be funneling leads into neverland - messing with deliverability, skewing campaign performance, and throwing off your GTM motions. ⚡ So what can you do? 1️⃣ Use tools like Findymail (built by Valentin Wallyn and crew) that detect catch-all domains in real time (not all verification tools are created equal) 2️⃣ Track email engagement closely - if there's zero engagement, they might not exist 3️⃣ A valid email is just one piece of the puzzle, so be sure to combine with other signals and data points (e.g. firmographics, website visits, intent signals, etc.) to prioritize real leads Your SDRs (and your pipeline) will thank you. 🙏 Also if you've got any stories (good or bad) on catch-all email domains, drop a comment and let’s hear your best (or worst) email horror stories! 👇 #revops #revenueoperations #salesops #salesoperations #emaildeliverability #datacleansing

Your data provider just filtered out your biggest prospect. You'll never know. You upload your prospect list to your data provider. They return 1,000 "verified" emails and mark 300 as "invalid." You delete the invalid ones. Run your campaign. Get decent results. But here's what actually happened: That "invalid" list included your dream prospect. The VP who's been looking for your exact solution for months. Their company uses catchall email routing. Your data provider flagged it as risky and filtered it out. This happens every single day. Standard providers mark Gmail and Microsoft catchall emails as invalid to protect their metrics. You're not getting bad data. You're getting incomplete data. The painful reality: → Your ICP analysis is based on filtered results → Your addressable market calculations are wrong → Your competition might be reaching prospects you can't see → You're optimizing campaigns around incomplete information Icypeas handles catchall verification that other tools abandon. Same workflow. Same integrations. Fuller picture of your market. The prospects you're not reaching don't know you exist. While you optimize campaigns for the contacts you can see, someone else is closing deals with the ones you can't. Your data stack determines your pipeline ceiling. How many "invalid" emails are sitting in your filtered lists right now?