Lusha Integration in Clay: Boost Sales with Automated Signals

👉 In the past year my SDRs created prospect lists for various clients from B2B SaaS to fintech, to edtech etc. These are the major sources we used across almost all engagements: (check the post for others) One source gives you volume. Three sources give you precision. Here are all 7, and when each one makes sense 👇 1️⃣ GENERAL DATABASES Apollo, Sales Nav, Prospeo. Your starting point for broad filtering. Everyone has the same data here, so your message has to be sharper. Use when you know your ICP and need volume fast. 2️⃣ LOOKALIKE SEARCH Ocean.io, Apollo lookalike. Feed in your 5 best customers. Find 50 more like them. Use when your ICP is proven and you want to scale what's already working. 3️⃣ GOOGLE MAPS Nobody talks about this one. If your buyer isn't on LinkedIn - local businesses, agencies, clinics - they're on Google Maps. Scrape by location and category. 4️⃣ VC PORTFOLIOS + DIRECTORIES Our secret weapon. We scraped Antler's portfolio page. 900 startups. Clay Chrome extension. Free. 4 minutes. Filtered down to 80 perfect prospects. Pre-qualified, funded, and actively building. 5️⃣ YOUR OWN AUDIENCE LinkedIn connections. Post commenters. Website visitors. Past customers gone quiet. The warmest list you'll ever build. Use this one first. Always. 6️⃣ PEOPLE PURSUING SOLUTIONS Competitor followers. G2 reviewers. Event attendees. They already decided they need something. The only question is whether they find you or someone else. 7️⃣ JOB POSTING SIGNALS Companies hiring roles that reveal priorities. "Preparing for IPO." Sales hire in a new geography. Intel no database can give you. other sources include Claude enterprise (at 90 USD Claude provides great lists) - Facebook, specialist magazines, chambers of commerce for international expansion - these should cover the TAM at 80-85% The list is the strategy. One source isn't a strategy, it's a starting point. 👉 What other source do you use to build prospect lists in a new market? Share in comments and I'll check'em out.

I build prospect lists in 30 seconds. Not 3 hours. Let me show you why. Friday night. I'm on a call with an agency owner. Good guy. Runs outbound for SaaS clients. He tells me "I spend 3 hours building every prospect list." I say "3 hours? For one list?" "Yeah. Sales Nav. Export. Email finder. Clean the data. Upload. It's a whole process." I go "let me show you something. Share your screen brief I'll share mine." I open DataForB2B. He watches. I type one sentence in the search bar: "Marketing Directors at B2B SaaS companies in London with 50-200 employees." Plain English. Like texting a friend. 8 seconds. 26 results pop up. Real people. Current titles. Live profiles. Fresh data. He goes "ok but I still need emails." I select all. Click Enrich. Check Work Email. Done. 26 Marketing Directors. With verified work emails. In under a minute. He's quiet. "I've been paying $500/month for three different tools to do this." Yeah. I know. That's the thing. Nobody needs 5 tabs open to build a list anymore. Nobody needs to export CSVs and clean them manually. You type who you want. You get them. You enrich. You go. Works for anything. VPs of Sales at funded startups. CTOs at AI companies. Ex-Meta engineers. Agency founders. Whatever. One sentence. Real-time results. How long does it take you to build a prospect list right now? Genuinely curious. #B2BData #Prospecting

Searching for "Target = CEO" is the fastest way to get BURNED. You aren't cutting through the noise; you are the noise. Every decision-maker you find with basic Sales Nav filters is already getting pitched 15 times a day. To get replies, you need to find prospects with high intent, not just a pulse. Here are 3 advanced filtering combos and niche Boolean strings that most people completely ignore: 1. The "Hiring for the Problem" Trigger Don't just look for an ideal client profile (ICP); look for an ICP actively experiencing the exact pain point you solve. The Combo: Go to the "Spotlights" filter and select "Companies hiring on LinkedIn." The Boolean (Keyword field): "operations" AND ("workflow optimization" OR "process automation") Why it works: If they are hiring for process automation, they have recognized the bottleneck and have a budget to fix it. This is the exact moment to pitch an AI automation solution that scales faster than a new hire. 2. The "New Sheriff in Town" Trigger New leaders spend money in their first 90 days to prove their value and fix old broken systems. Don't pitch the executive who has been there for 5 years and is defensive of the legacy setup. The Combo: Use the "Activities and Shared Experiences" filter and select "Changed jobs in last 90 days." The Boolean (Title field): ("VP" OR "Head" OR "Director") AND ("Operations" OR "E-commerce") Why it works: A newly minted Head of Operations or E-commerce is actively looking for quick wins. Pitching a custom web application or an AI workflow automation right as they evaluate existing vendor contracts is the ultimate right-time, right-message play. 3. The "Breaking Point" Trigger (Department Growth) Fast growth breaks old systems. If a company is scaling a specific department rapidly, their current infrastructure is likely failing them. The Combo: Start in Account Search. Use the "Department headcount growth" filter (e.g., Engineering or Operations > 20%). Select those companies, then switch to Lead Search to find the specific decision-makers. The Boolean (Title field): ("VP" OR "Director" OR "Head") AND ("Operations" OR "Engineering") Why it works: You aren't just pitching a service; you are pitching a lifeboat to a leader whose internal systems are suddenly buckling under the weight of rapid hiring. It’s highly contextual, timely, and solves a massive headache. The Takeaway: Sales Nav is a scalpel, but most people use it like a sledgehammer. Stop scraping broad lists. Start searching for intent signals. This is just the tip of the iceberg for intent-driven outreach. I put together a cheat sheet with 7 more advanced Boolean strings we use to find ready-to-buy leads. Shoot me a DM with the word "INTENT" and I’ll send it your way. (Just make sure we are connected first so the message actually goes through!).

25+ countries. 1,200+ projects. One skill. B2B email list building, that's it. Here's what I learned building lists across every major market: US clients want: SaaS founders, marketing directors, startup CEOs, 2-50 employees. UK clients want: Consulting firms, IT companies, staffing agencies. Australia clients want: Tech startups, digital agencies, and fintech. Canada/UAE clients want: Real estate tech, professional services, SaaS. Same skill. Totally different data requirements. The tools I use stay consistent: → Uplead (primary sourcing) → LinkedIn Sales Navigator (intent signals) → Hunter.io (domain-level verification) → NeverBounce + ZeroBounce (triple validation) But the filters change by country. US: filter by state, company size, funding stage UK: filter by company type, SIC code, employee range Others: use LinkedIn geo-filters + local business directories The biggest mistake I see? Founders are buying a generic "global B2B list" and blasting everyone the same email. Every market has different pain points. Your list AND your copy need to match. I now bring this same process into LeadAdopt.io, built specifically for founders targeting US/UK markets. Which country/market are you currently targeting for outbound? ♻️ Repost if this was helpful

Her outbound used to work. Then the market shifted and she kept doing the same thing. Guess what happened? Hopped on a call last week with a solo agency owner. She's doing everything herself. BD, sourcing, invoicing, meetings, all of it. Her outbound used to work. Then the market shifted. Tariffs. Hiring freezes. Budget lockups. Companies that were moving fast in 2024 are sitting on their hands in 2026. So she did what most people do. Tried a new tool. Outsourced the list building. Switched sending platforms. Still pulling static lists. Still blasting the same message to any decision maker with a pulse in her niche. Nothing changed because the approach didn't change. The problem was never the tool. She's reaching people with no active need. No trigger. No urgency. Just a job title that matches her ICP on paper. That's not a volume problem. That's a targeting problem dressed up as a tech problem. The market got harder. That part is real. But the agencies still booking meetings aren't immune to the macro environment. They just stopped treating outreach like a numbers game and started treating it like a timing game. 95% of your market isn't ready to buy right now. That's not pessimism, that's the data. The firms winning are finding the 5% that are ready. The ones with a role open 60+ days with no placement. The team that just added 20%+ headcount in a quarter. The company that raised and now needs to scale fast. Those people have a need today. Everyone else is noise. Static lists don't tell you any of that. Intent signals do. What's your current prospect list actually based on, a job title or an actual clear need?

I used to spend 30 minutes researching one account. Now I can't imagine going back to that. This is what manual prospecting used to look like: 1. Territory mapping to figure out who to prioritise ↳ Going through lists based on gut feel, not data 2. Search LinkedIn, company website, news articles ↳ Jumping between tabs trying to piece together something relevant 3. Writing outreach from scratch every time ↳ Generic messages because you ran out of time to personalise That was 30-45 minutes per account. It simply wasn’t sustainable. That’s why we built our tool to enable signals-based prospecting. Instead of going to all these different sources manually, you surface the signals first. 1. Identify which accounts have active signals ↳ Hiring, funding, tech changes, leadership moves 2. Prioritise the accounts with the most urgent problems you can solve ↳ Stop territory mapping. Start signal mapping. 3. Leverage the account plan to position your outreach ↳ The signals tell you what to focus on. The account plan tells you what to say. Now it takes 5-10 minutes instead of 30-45 minutes. That is a 3-5x return on time per account. But the real shift is not the speed. It is the relevance. When you research manually, you are looking for anything to talk about. When you use signals, you already know what matters to them right now. Once you see the difference, you cannot go back. What does your current pre-outreach research process look like?

A few weeks ago, a startup founder told us something interesting: “We raised funding… but finding the right prospects is harder than building the product.” This is a challenge many companies face. They know their ideal customer profile (ICP), but identifying the right companies and decision makers takes a lot of time and research. That’s exactly where we help. Hi, I’m Mohd Saif, a B2B Lead Generation Specialist at Lacleo Digital. Our team helps businesses build ICP-based prospect lists so sales teams can focus on what matters most — starting conversations with the right people. Along with lead generation, we also work on web scraping and data extraction to collect accurate business data from different sources and turn it into useful prospect databases. What we usually help companies with: • Finding decision makers that match their ICP • Building targeted B2B prospect lists • Collecting business data using web scraping • Supporting outbound sales and outreach campaigns Because the right data can turn cold outreach into real opportunities. If your team is working on sales outreach, partnerships, or market expansion, feel free to connect or message me. Happy to share insights or a small sample list. #B2BLeadGeneration #LeadGeneration #ProspectResearch #WebScraping #DataExtraction #SalesProspecting #B2BData

1.7M mid-market companies NEED A.I implementation...it only takes 5x clients @$5k/mo to replace your corporate salary. Here's how I'd land a client willing to pay that much (in under 30 days): Step 1: Pick an Industry -> Law firms -> Accounting firms -> Real estate agencies - > Healthcare practices -> Marketing agencies -> Recruitment companies All of these industries desperately need A.I implementation. Step 2: Use the A.I Cold Email Agent Go to AI Acquisition & select this tool. Input your niche, target companies with 10-50 employees, and pick your location. A.I builds an outreach sequence for you (an opener and 3 follow ups, all written automatically). Step 3: Use the A.I SDR This is on AI Acquisition & you just connect it to your calendar. The agent replies to interested prospects on your behalf & automatically books interview calls. This is where 95% of people mess it up if they’re not smart… Step 4: The Interview Call This call is NOT a sales call, your only job here is to listen. Ask them about their biggest operational problems. Ask them where they're losing time and money. Ask them if they've looked into A.I solutions before. It doesn’t matter if you suck at sales, you’re just asking questions. Step 5: The Discovery Call Now you go deeper & ask them… -> What's your average client value? -> What does this problem cost you per year? -> Who makes the final decision on solutions like this? -> Do you have a budget set aside for this? This is where you’ll qualify them & gather the info to offer a solution. Step 6: The Solutions Call This is the only call where you present your offer. You show them the exact A.I tools that solve the problem they told you about… "This costs you $80,000/year right now. I can solve it for $10,000 upfront and $5,000/mo." You don’t need to build anything from scratch… It’s as simple as going back to AI Acquisition & asking for an A.I tool. For example, an A.I Sales Call Analyzer to ensure they’re able to increase their close rate. If you’re really non-technical, you can hire a VA from onlinejobs.ph to do this for you. 1x client = $5,000/mo 3x clients = $15,000/mo 5x clients = $25,000/mo If you sent out 2,000 e-mails & booked 20 calls, you’d only need to close 25% of them. & if you’re bad at sales, just send out more e-mails 🤣 If you want more detailed advice on what I'd do in exactly your shoes, feel free to DM me "AI" & I'll ask a few questions about you and your professional experience, then I can point you in the direction I'd take!

Most outbound starts the same way. Open a database. Type a job title. Add a few filters. Export a list. And then send emails hoping someone replies. The problem? You might be reaching the right person at the wrong company. No funding activity. No hiring signal. No growth trigger. No reason for them to care about your email. So prospecting becomes a numbers game. What if the workflow was flipped? Instead of starting with people, start with companies. Find the accounts that actually match your ICP right now — based on growth signals, tech stack, funding stage, and hiring activity. Then discover the right people inside those companies. That’s exactly what Saleshandy’s Lead Finder 2.0 is built around. A few things that stand out: 🔎 800M+ verified B2B contacts One of the largest contact databases with real-time email verification. 🏢 Company-first search 60+ filters like industry, revenue, headcount, tech stack, and funding stage to identify the right accounts. 🧠 Lookalike company discovery Drop in your best-fit customer and instantly find similar companies. 📈 Buying signals that matter Spot triggers like hiring spikes, funding rounds, or tech changes before reaching out. ⚡ Prospecting → Outreach in one flow Find companies, reveal contacts, build lists, and launch outreach — all without switching tools. Outbound shouldn’t feel like guessing. When you start with the right companies, the right conversations follow. Lead Finder 2.0 is now live inside Saleshandy. #Productmanagement #B2BSales #OutboundSales #Prospecting #SalesTech

We launched TitanSDR 1 week ago. First paying clients already IN. Here's what we built — and why it changes how B2B companies think about outbound. Most companies hiring SDRs face the same problem. They spend 3 months recruiting, 2 months onboarding, and another month waiting to see if the hire actually converts. By month 6, they either have a pipeline or they have regret. We built TitanSDR to eliminate that cycle entirely. Paste your URL. Our AI reads your site and builds your ICP, your script, your objection handlers, and your value proposition automatically. No briefing calls. No setup fees. No guesswork. Then we match you with a vetted cold caller — less than 5% of applicants make it through our screening. They start calling within 48 hours of payment. You watch calls, conversations, and meetings appear on your dashboard in real time. The whole operation runs itself. We've been doing this manually at Sales Titans for years. 20%+ conversation rate when the industry average is 0.6%. The platform is just that process, productized. If you're hiring SDRs, evaluating outbound agencies, or just curious what B2B cold calling looks like when it's done properly... just have a look. Link in the comments. The pipeline is open. PD. This is a screenshot from the platform's first hour. One of our vetted callers is outreaching the US for a SaaS. I'm saving it because it's going to be historic.