Deliverability is the hidden killer of GTM strategies. When your open rates dip, the immediate instinct is to rewrite the subject line or blame the lead list. But more often than not, it’s a plumbing issue, not a people issue. This is the specific gap Warmy.io - Email channel. Reliable. fills. It acts as a safety net for the things that keep founders and Ops leads up at night: The Blind Spots: → See your domain’s health in real time, no more guessing if SPF or DKIM broke. The Spam Jail Fear: → Simulated human engagement helps your emails land where they belong. The Ops Headache: → Bulk mailbox connections and API access make scaling painless. It’s simple: Fix the infrastructure first, and the revenue follows. Don’t let your best pitch die in the Spam folder. Try it free here: https://lnkd.in/gEq79hJP | 25 comments on LinkedIn

Most cold emails never reach the inbox. Here’s how to fix that 👇 Let's break down the 4 tiers every sender MUST master to hit 90%+ inbox placement: 1. Technical Foundation → Authenticate with SPF, DKIM, and DMARC → Diversify inboxes across Gmail, Outlook, SMTP → 3 inboxes per domain 2. Warm-Up & Volume Management → Warm up for at least 30 days to build sender reputation → Ramp up daily sends gradually → Fully ramp to 25 sends per inbox per day 3. List Perfection → Double verify your lists to remove invalid emails → Use a catch-all verifier to maximise validation coverage → Target high-quality, relevant audiences only 4. Content Strategy → Use plain text only (no HTML, links or attachments) → Use a ton of spintax → Write like a real human, not a marketer Nail all four tiers, and you’ll be in a good area. If you're still not seeing results and your inboxes appear healthy (check warm up % score is > 95% in Smartlead/Instantly) then you have an offer issue. Change up your copy and go again. StackOptimise ⚙️ | 17 comments on LinkedIn

8 AI Prompts That Actually Book Meetings (Cold Email Advanced Edition) (+ the exact wording I use to land 79+ meetings/month) ☑ ICP Research Prompt “Act as a sales analyst. Analyse CTOs in B2B SaaS (100–500 employees). Summarise their top 5 priorities, daily pains, and buying triggers in less than 200 words.” ☑ Personalization Hook Prompt “For this LinkedIn profile [link], draft 3 icebreakers. Keep under 20 words, avoid flattery, tie to their recent activity. Avoid jargon, buzzwords or being salesy.” ☑ Problem Hypothesis Prompt “Write 3 pain-point hypotheses for VPs of Sales in SaaS who missed quota last quarter. Keep each under 15 words. Make them relevant and give me a 1 line “Why it matters” for me to understand your POV” ☑ Objection Handler Prompt “Give me 3 tactical responses to ‘too expensive’ objection for SaaS buyers in X industry for Y role/title that are willing to buy [my solution]. Make it consultative, not defensive. Each reply must be under 25 words.” ☑ CTA Prompt "Generate 3 high-converting CTAs for a SaaS demo request email. Each CTA must be under 12 words, avoid pushy sales language, and emphasize clear, outcome-driven value that motivates action without pressure. Prioritize clarity, psychological pull, and alignment with a business decision-maker mindset." ☑ Follow-up Prompt "Craft a compelling two-sentence follow-up email for a prospect who opened but did not reply to my initial message [insert message 1]. Provide fresh value by weaving in a single new, research-backed insight or market trend that sparks curiosity and relevance, while keeping the tone consultative rather than transactional." ☑ Case Study Builder Prompt "Transform the following customer testimonial into a concise, two-line cold email case study. Highlight quantifiable ROI, specific numbers, and credible impact in a way that feels authoritative yet humble—avoiding overt self-promotion while ensuring the results command attention and trust." ☑ Multi-Thread Prompt "Identify 3 alternative stakeholders to approach if a VP of Sales does not respond. For each contact, justify their relevance by explaining their role in the decision-making ecosystem, their potential influence on the buying process, and how they could shape or accelerate a purchasing conversation." ♻️ Repost this so more people stop using GPT like an intern | 47 comments on LinkedIn

The time-saving shortcut I discovered for figuring out for better data ❣️ #TLRD: I kept seeing the same situation across teams: Replies were coming in here and there. But the pipeline felt inconsistent. Nothing was obviously broken (which made it worse) At first, we did what most teams do: We changed the copy Fine-tuned targeting Plus a few levers you’d do to fix things quickly… What actually worked was zooming out and looking at outbound as a system... (of course) First: where the data comes from. Then: whether emails and mobile numbers actually work….. not just “marked” valid.... but verified through an email waterfall across multiple sources BetterContact helped us here. Many teams underestimate the importance of data (because it feels “we can figure out that later” problem) but you actually can’t ⚔️ …. and once you have the right data, follow this blueprint to ACTIVATE it ✌️ 1️⃣ Where's the list coming from? Roles change fast. Are we keeping that updated? 2️⃣ Do the emails and mobiles actually work? 3️⃣ Does the data cover everything you’d need for the campaign/motion? 4️⃣ Does the outreach really make sense? Enriched data → clear signals → messaging that connects. | 67 comments on LinkedIn

Most founders stare at the wrong GTM metrics. That’s why their outbound “works”… but revenue doesn’t move. 7 KPIs that actually tell you if outbound is working 👇 KPI 1: Cost to Prove Value What it really is: how much you spend to show real value before a meeting. Why it matters: if CPV creeps toward LTV, scale just makes you poorer faster. KPI 2: Qualified Meeting Rate What it really is: % of meetings that should have been on the calendar. Why it matters: a “busy” calendar can still be 50% wasted sales time. KPI 3: Response → Meeting Conversion What it really is: how many replies turn into booked calls. Why it matters: interest without meetings means your offer doesn’t create urgency. KPI 4: Pipeline per 1,000 Contacts What it really is: dollars of qualified pipeline for every 1,000 people you touch. Why it matters: activity is a cost center; pipeline is what pays salaries. KPI 5: Time to First Value What it really is: how fast prospects feel the value of talking to you. Why it matters: early clarity shortens sales cycles. Late value kills deals. KPI 6: Disqualification Rate What it really is: how often your system says “no” before sales ever gets involved. Why it matters: if nothing is disqualified, your filters are fiction. KPI 7: Outbound Pipeline Coverage What it really is: % of next quarter’s target covered by outbound-generated pipeline. Why it matters: if outbound can’t cover targets, growth is hope, not control. These KPIs aren’t about doing more. They’re about knowing what to control. If you want to see how C17 Lab builds outbound that hits these numbers: We run a live outbound pilot, build the system, run a real campaign, and you keep the pipeline before you decide to scale with us. Comment “PILOT” and I’ll DM you the details. PS: If you know a founder still bragging about “emails sent” instead of “pipeline created,” repost this for them. | 97 comments on LinkedIn

Clay keeps upselling you to the most expensive AI models. Every time you run a Claygent enrichment, it recommends Argon or Claude Opus when you probably don't need them. This is the FASTEST way to burn through Clay credits. (ask me how I know 😂) Here's the fix: Connect Clay to OpenRouter. OpenRouter is a unified interface for LLMs that automatically selects the cheapest, most effective AI model for each task. Instead of guessing whether you need Claude for copywriting or GPT-4o Mini for basic research, OpenRouter picks the right model every time. And it keeps costs as low as possible (unlike Clay's built-in recommendations). What happens when you use it: 1. For simple tasks (counting months in a year), it routes to Mistral AI Nemo or Deep Infra Inc. 1. For Web scraping with Claygent, it automatically switches to Perplexity. 3. For copywriting, it'll use Anthropic’s Claude 3.7 Sonnet. You don't select ANYTHING. It just works. See the full tutorial below that I recorded showing how to set this up using Clay's HTTP API enrichment. Fair warning… You need the $349/month Clay plan to use HTTP API. But if you're already on that plan and burning credits on expensive models you don't need, this is a no-brainer. PS: As always - credit goes to one of my fav Unlock Clay students, Olly Sleep(tag), for shedding light on OpenRouter a while back Link to vid: https://lnkd.in/eUYiHgY9 | 24 comments on LinkedIn

This is the type of campaign I would suggest anyone runs if they are new to cold email and automated outbound. Internally, we call it the creative ideas campaign and if you watch the video (which I'm soft launching before we put it on YouTube) I go over the past and current success we've had with this campaign. If you don't have time to watch the video, the strategy is that we use AI to learn about our customer's offer and how they help their customers. So that when we reach out to a prospect, we can analyze their website and understand what they do in order to output 1-3 creative ideas on how we would be able to help them. This way we aren't sending AI generated slop compliments but instead, real tangible ways that we can help based on the company and contact's context. This is the best campaign for many of our customers including Clay, a PR company we're about to release a huge case study with that gets 80 leads a day with us, and so many of our other customers. Here's an example template that we could use Hey {{first_name}} - I had some ideas about how we could target {{customer types}} together. Here's what I'm thinking {{Idea}} {{Idea}} {{Idea}} We built a platform that lets you get started for $100 a month with everything you need to start campaigns like I mentioned. Could I show you how it works sometime? {{sendingAccountName}} Here's what that could look like if it were filled in. Hey {{first_name}} - I had some ideas about how we could target Finance Leaders at US Pharma companies together. Here's what I'm thinking - Target CFOs that recently took over their role and show them how you can help them reduce expenses in their first 90 days. - Use our Website Visitor Identification to uncover purchasing directors researching your site but didn't leave their email. - Send campaigns like this to VPs of Finance asking if their org is currently evaluating currently cutting software costs with some of the NIH cuts happening. We built a platform that lets you get started for $100 a month with everything you need to start campaigns like I mentioned. Could I show you how it works sometime? And for those that might say this is really long, I get it. You can simplify it into one sentence that applies to the prospect which we also helped 3x the reply rates for John Thomas campaigns by just adding this one line to his best templates. Check out the video or save this for later to understand more about the strategy. | 16 comments on LinkedIn

Most companies get to $2-3M ARR then stall. Reasons: What got you to $2-3M doesn’t scale past it. Not because effort drops. Because the system gets exposed: The offer still sounds good, but the economics aren’t tight. The ICP is defined, but not prioritized. Messaging gets responses, but not the right conversations. Outbound works, but only in bursts. Pipeline exists, but forecasting doesn’t. Each part works in isolation. The system doesn’t. Scaling past $10M requires alignment. 1/ Offer architecture If ROI isn’t obvious, velocity disappears. No amount of activity fixes weak economics. 2/ Market mapping Broad ICPs hide where revenue actually comes from. Growth accelerates when you concentrate on the segments that convert cleanly. 3/ Message precision Good messaging doesn’t persuade. It filters for buyers who already care. 4/ Outbound engine At scale, the pipeline can’t be accidental. It has to be created on purpose. If output depends on timing, referrals, or hero effort, it’s fragile. 5/ Revenue operations This is where scale either stabilizes or collapses. If data and handoffs aren’t tight, leadership is always reacting. 6/ Predictable scale Forecasting only works when inputs are controlled. When the system is stable, growth becomes boring. Miss one piece and everything downstream degrades. If outbound is part of how you plan to scale, it needs to be engineered with precision. Need help building a system that scales? Apply for our no-cost, no-risk pilot campaign. We’ll run a live campaign to show you how it should work before you make any commitments. Apply here: https://bit.ly/C17Pilot Follow Enzo Carasso 🧲 for outbound systems and growth. | 86 comments on LinkedIn

As Clay's largest user, we've learned a ton about scaling with the platform. Here are the 5 lessons I talked about on stage at Sculpt in San Francisco recently. (Link to video at the end). Clay Rules & Best Practices 1. Always Always Always Use Conditional Formulas on Paid Integrations. Seems super simple and obvious but getting your team in this habit helps to prevent unnecessary API calls and only trigger paid integrations when data truly needs enrichment. 2. Save Paid Data Externally Store enriched data in CRM or Supabase, not inside Clay only. I pay $30 a month for Supabase and just one of our databases amongst over 20 has 11.4M records. 3. Leverage Scheduled Sources Automate evergreen campaigns that continuously refresh and send new leads into workflows without manual input. This features is still under used by people that have cracked an outbound campaign for themselves and need to keep it on all the time without forgetting. 4. The formula generator can really do a lot. If you want the same thing to happen every time it sees an input, try this before using AI. Use formulas for: Cleaning and combining data If/Then logic Lead scoring State abbreviation Reminder: Clay formulas run on JavaScript, so almost any data transformation is possible. 5. The GEX AI Prompting Framework Prompting Rules The 10-Minute Manual Research Rule: Don't steal other people's playbooks. Think about when you are manually researching a company. What are you looking for if you had 10 minutes to research them? And how does that change your message? One Thing at a Time: Give AI a single, focused task, avoid multitasking prompts. Safeguards: Build filters for low-context outputs (e.g., return “purple” when uncertain). Use Examples: Always include examples in prompts for better accuracy. Meta Prompting: Ask ChatGPT “What questions do you have to improve this prompt?” before finalizing. Reasoning First: For high-stakes tasks (like industry classification), ask AI to output reasoning before its final answer. Handle Edge Cases: Be ready to prompt around specific constraints (e.g., tone, banned words, output format, length). Mindset Takeaway “AI is the smartest thing in the world built to solve Calculus problems. I promise it can write your emails, you just need to give it some TLC.” Overall: → Think like a system designer, not a button clicker. → Use Clay, Supabase, and AI together to build repeatable, data-rich workflows that scale outbound. https://lnkd.in/eMtqW3Ut

Time to share the sauce. Here's the exact 5 Cold Email Templates that book us meetings predictably. The unique luxury of pitching cold email services via cold email is that the channel becomes the proof. The medium essentially = the product. If the outreach is good, it's same to assume the product's good. ------- Learn how to execute these templates at scale: https://lnkd.in/eN7qinfB | 14 comments on LinkedIn

B2B Sales Stack: THEN vs NOW 🔥 24 tools (12 old, 12 new) => pick modernity 🆕 Most B2B softwares have been around for decades. It's a proof of their stability. Stability is good but sometimes you have to innovate. 1°) CRM Alexander Christie from Attio released an excellent paper about Salesforce that convinced me -- along with their great product -- that Attio is going after Salesforce the right way. On our end at Breakcold, we're not in that realm. We have a different positioning, which results that almost half of our new customers come from Pipedrive. 2°) Multi-channel Considering the fantastic growth of lemlist lately, as explained by Charles Tenot, it's clear that they're eating more and more Outreach and Salesloft's lunch. Watch out for Dorian Ciavarella from ZELIQ though, they're very hungry to build the next dominant sales platform of that era. 3°) Leads Both ZoomInfo and Hunter had to comply with regulations which probably slow downed their innovative pace. That's why gigantic platforms like Apollo exploded, but we saw lately how grey innovation can be. On the other hand, Roman Hipp from BetterContact popularized the concept of 'Waterfall Enrichment', now almost a standard on the market. 4°) Cold Email I could have quoted many other tools, Instantly.ai not necessarily replace Mailshake and Yesware. They undoubtedly launched the cold emailing at scale era. 1 thing for sure is that Vaibhav Namburi made this era so much better with Smartlead . 5°) Workflows Ok please don't be too harsh on me Zapier and Make, you're still mega relevant! But when it comes to B2B sales workflows, niched tools like Clay and Default are really making GTM roles but also traditional salespeople delighted. 6°) Presentations There's not a single week without seeing Gamma from Grant Lee somewhere. In the sales space, trumpet 🎺 by 🎺 Rory Sadler has been leading the 'sales pods' race so far with an astonishing number of native integrations. ----- What did I miss? 🤔 If you're a digital SMB, try my CRM software Breakcold 🔥 | 37 comments on LinkedIn

Your outbound campaigns are failing because of one thing you're ignoring. Most people obsess over messaging and timing. They spend hours perfecting their copy. Then wonder why their campaigns tank. The real problem? Your lead list is built on garbage data. Here's what actually happens: You buy 1,000 emails from a provider. You load them into your campaign. Then reality hits: - 50% are catch-alls - Bounce rate climbs to 15% - Domain reputation tanks - Inbox placement drops - Campaign dies You didn't fail at messaging. You failed at the foundation. Inside every lead list, there's a hierarchy: Lead List → Data Enrichment → Email Finding Most people stop at the top. The winners? They obsess over the bottom. Finding the right email is everything. Because quantity means nothing if the emails don't work. Here's how to fix it: 1. Stop chasing volume. One real email beats 10 catch-alls. 2. Test your provider's accuracy. Send to 100 emails. Track bounces. If it's over 5%, switch. 3. Look for enrichment stacks that do it all. APIs for scraping. Built-in databases. Profile finders. One platform beats juggling five tools. 4. Automate the flow. Manual enrichment kills your time. APIs handle it while you sleep. I've tested multiple providers. The ones that work don't brag about numbers. They deliver emails that reach real inboxes. Icypeas is one example that does this right. Not just email finding. Full enrichment stack in one place. I use it for my waterfall enrichment in Clay. Your outbound is only as strong as your weakest pillar. Fix the foundation first. Everything else gets easier. | 58 comments on LinkedIn

Top outbound sales tech in 2025 👇 Clay - orchestration layer for all your GTM workflows Smartlead - email sequencer for high volume outreach with optimal deliverability Apollo - still the goat when it comes to old school list building Prospeo.io - if you could only use one email finder, this is the one DiscoLike - build lookalike lists of your best customers BounceBan (Verify risky emails without sending messages) - validate an additional 20% of emails with catch-all validation Claude - the best LLM for writing your sales copy Any I missed?

Here's how to use Clay to automate graphic design assets: This table is actually super simple to build, and only really requires: 1. Clay integrations to find the data you'd like to include in your asset 2. A Templated HTTP API call Using just these two things, you can create event invitations, webinar graphics, social assets, and more 🚀 Highly recommend this use case for anybody in MarOps looking to get started with Clay- big shoutout to Akansh Gupta for his help with this one. Here's a video walking through it below ⬇️

How to Turn Clay into a Fully-Autonomous Outbound Engine (start to finish) Steal this playbook. Here’s the complete system 👇 1️⃣ Strategy Foundation - Lock In Your GTM Inputs Start by getting laser-specific on who you're trying to reach. → Define your ICP criteria: sector, revenue band, team size, tools used → Identify key triggers: headcount shifts, new tech installs, funding rounds → Draft value propositions for each ICP slice (baked directly into Clay variables) Tools I rely on: Clay filters, Clay formulas (Get this step tight and everything downstream becomes effortless.) 2️⃣ Data Sourcing & Enrichment - Give Clay the Inputs It Needs Next, you need clean, enriched data. → Pull company lists straight from LinkedIn into Clay → Layer on enrichment: Company metadata (Crunchbase, Clearbit) Tech stack insights (BuiltWith) Social signals (LinkedIn, Twitter) → Remove low-intent or low-fit accounts with custom logic Tools I rely on: Crunchbase, Clearbit, BuiltWith, LinkedIn enrichments 3️⃣ Signal Tracking & Lead Scoring - Automate Qualification This is where personalisation becomes automatic. → Track key signals: job updates, growth trends, funding activity → Score prospects for fit and timing using Claygent (GPT does the grunt work) → Build your prioritization list (I use a 1–100 scoring model) Tools I rely on: Claygent (OpenAI), People Data Labs, SignalHire, Crunchbase, Clay formulas 4️⃣ Campaign Deployment - Launch Hyper-Personalised Outreach Once the system is ready: → Auto-generate tailored messages using Claygent + your enrichment variables → Send straight into Instantly or Smartlead through native Clay integrations Tools I rely on: Claygent, LinkedIn Profile Scraper, Instantly / Smartlead That’s the full workflow, end to end. You’ll spend way less time sifting through data or writing emails and way more time actually closing deals. StackOptimise ⚙️ | 47 comments on LinkedIn

At StackOptimise ⚙️, we’ve put nearly every outbound tool through its paces. Here's the 7 that make the cut right now: 1️⃣ Clay The brain behind our entire system. From enrichment to personalisation - everything flows through Clay. 2️⃣ Smartlead Still the undisputed champ for cold email delivery. Unmatched warmup tech, inbox rotation and deliverability performance. 3️⃣ OutboundSync Our connective tissue. Keeps Smartlead, CRM, and everything else perfectly in sync. 4️⃣ Prospeo.io Our starting point for every campaign. The most accurate email finder we’ve tested. 5️⃣ BounceBan (Verify risky emails without sending messages) Our secret weapon for verifying catch-all emails. Delivers 30% more verified contacts. 6️⃣ GetSales.io Our choice for LinkedIn outreach at scale. Unlimited sender profiles and robust safety measures. 7️⃣ Premium Inboxes Top-tier inbox provider with white-glove support. Easy setup, excellent deliverability, zero headaches. Check out the world's largest mapping of outbound tools here: https://lnkd.in/erXSMeqY | 38 comments on LinkedIn

The day your “best rep” calls in sick shouldn’t be the day your pipeline flatlines I’ve seen it happen quite a few times One rep carries the team, crushing quota month after month Leadership feels safe Until one week, their inbox slows down, their follow-ups lag and suddenly: -The pipeline dries up -Deals stall -Everyone scrambles It’s not that your rep can’t deliver It’s that your system can’t keep up When you rely on a single rainmaker, you’re basically betting the company on their shoulders And no matter how good they are That’s a bet you’ll eventually lose The teams that win build machines that: -Target ICP with surgical precision -Show up across channels in the right way -Drive every interaction forward automatically -Keep deals alive long after “not now” When you run like this, it’s not about who makes the call or sends the email It’s about the system working 24/7 Which is never tired, never forgetting and never letting a hot lead slip Repost ♻️ to inspire your network and 🔔 Follow Nick Palasz for more | 63 comments on LinkedIn

Most sales leaders have given up on cold email entirely Meanwhile, we just booked 17 meetings last month using it Here's how (my exact method no gate keeping) Revenue leaders are sick of SDRs being "email monkeys." Putting leads into a sequence isn't sales - it's laziness that worked for a while 🥱 Some try solving this by buying inboxes - but they burn them as fast as they buy them. My take: Sales people should be on phones. Emails should be handled by experts. This landed us meetings with execs at Binance, Nvidia, HSBC, Casio & 100's more: Step 1️⃣: Infrastructure Design Calculate exact inbox needs, then buy from multiple providers (Google Workspace, Microsoft 365, different registrars) Our go-to's: InboxKit, Zapmail & Hypertide. The 2x Rule: Buy 2x the domains needed. While Set A is active, Set B warms for 45 days. Step 2️⃣: The 30-Day Warmup Every inbox gets 30 days before touching prospects. 10-25 warmup emails daily with 30-60% reply targets. Week 1-2: Pure warmup Week 3-4: 10 cold emails daily Week 5-6: 15-20 cold emails daily After 45 days: Full campaign Step 3️⃣: Lead List Intelligence We run lists through Clay to score into three tiers: • Tier 1 (Top 20%): Perfect ICP matches • Tier 2 (Middle 60%): Good fits • Tier 3 (Bottom 20%): Difficult providers Then analyze MX records. Gmail inboxes go to the top. Enterprise security (Barracuda, Proofpoint, Mimecast) goes to the bottom. Your domain builds reputation as it sends. First 100 sends should hit the easiest inboxes, not the hardest. Step 4️⃣: Verification Every lead runs through TrueInbox or Millionverifier. Target: <2% bounce rate. One bad list burns a 45-day warmed domain. Treat verification like domain insurance. Step 5️⃣: Copy That Converts We reverse-engineer a perfect one-to-one email, then use Clay to create that personalization at scale. The result? Email that sounds individually written, because the foundation was. The math most sales leaders miss: ▸ Bad infrastructure + great copy = burned domains ▸ Great infrastructure + bad copy = fixable with A/B testing ▸ Bad infrastructure + bad copy = why you gave up Cold email works if you know what you're doing. ______ Struggling to get replies? We'll build you the system in 90 days - so you own it forever. DM me. I'm the founder of The Playbook Agency - GTM operations partner for SaaS brands from Seed to Pre-IPO Find, contact & own your TAM with us | 18 comments on LinkedIn

I have more 10+ B2B list building workflows for cold outreach. Here’s how to build a strong B2B email list: 1. Define your ICP before anything else - Who are you targeting? (Industry, job role, company size) - What problems do they have? - Why would they care about your offer? A clear ICP ensures you’re reaching decision-makers who actually need what you offer. 2. Use verified data sources - Low-quality emails = low-quality results. - Tools like Icypeas help find and verify real emails. I use waterfall enrichment with 2 data providers and in this workflow, I prefer to use Icypeas because: ☑ Solid Lead Data Base API ☑ 2-5x cheaper than alternatives ☑ Highest discovery rates with catch-all verification Always verify emails before sending outreach to avoid bounce rates. 3. Leverage networking and events - Webinars and conferences are goldmines for relevant contacts. - Engage in Linkedin groups where your prospects hang out. - Reach people who have engaged with your Linkedin post. Webinars and conferences = warm leads. LinkedIn groups = easy connections. Networking-based contacts convert better since there’s already some level of engagement. You can use trigify to monitor social media for high value leads. 4. Optimize your website for inbound leads Gated Content: Offer lead magnets in exchange for an email.‍ Newsletter Sign-Ups: Encourage visitors to subscribe for updates.‍ This method builds an opt-in list where leads are already interested in your business. You can use vector, meetvisitor, instantly, leadpipe or dealfront to capture visitors' details. 5. Clean your list regularly - Bounces kill deliverability. - Keep your list fresh to stay out of spam folders. I use Icypeas to verify my email list and keep your bounce rate under 2.5%. Most people collect emails like Pokemon cards-randomly and without strategy. Then they wonder why their response rates are terrible. It’s not about having the biggest list. It’s about having the most relevant one. Finding and validating emails don’t have to be expensive. If you want to get better results and don’t want to spend more, You should give Icypeas a try. Focus on quality first and then plan to scale. The replies will follow. | 74 comments on LinkedIn

Growth Engine X is an outbound agency that sends 3,000,000 emails per month on behalf of their clients. We specialize in data segmentation, AI messaging, and creative campaigns. Here's a link to our social proof deck https://gamma.app/docs/Collection-of-...