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How to turn hours of account research into a 10 minute workflow. Enterprise companies publish extensive data online through annual reports, press releases, and strategic updates. While this information is great for meaningful sales conversations, the traditional process of manually gathering and analyzing it can consume hours of selling time. Here is the fix: Step 1: Start by importing existing account lists from your CRM into a Clay Table or use the 'find company' search if you're starting from scratch. Step 2: Use 4o-mini to analyze the company description to find their ICP by identifying job titles they sell to and who derives the most value from their product/service offerings. Step 3: Use ClayAgent to scrape the web to find the latest product launch for each company. Step 4: Using ClayAgent again to initiate a detailed search to locate the company's most recent 10-K PDF file by searching through Google, SEC's EDGAR database, and the company's investor relations website, extracting only the direct URL to the PDF document. Step 5: Promoting ClayAgent one final time to extract insights from the company's annual 10-K report by finding their top five initiatives, new product launches, target customer segments, potential challenges, and hypotheses on why the company might be challenged to achieve their top initiatives. The benefit of all this? You can do this across multiple accounts at once as if you had a team of analysts doing the deep research for you. Saving you time and allows for a perfect personalized outreach.

Every local business has a Google Maps listing. Turn that public data into your best source of qualified leads in 10 minutes. Perfect for PE/VC firms, sales teams, or anyone looking to automate deal sourcing by targeting businesses with limited digital footprints. Here's the exact process I used for a POS company targeting restaurant owners... ?? Step 1: Set Up Clay Table - Use Clay's Google Maps scraper to find established businesses with a strong local presence but a limited digital footprint. - Segment your market into specific metro areas and business type (e.g., Italian restaurants in Santa Monica) - Get instant access to Google maps URL, website, rating, and reviews. ?? Step 2: Enrich Your Data - Use BuiltWith & PredictLeads waterfall enrichment to find competitor technologies (e.g., Toast POS, Clover, Square) - Identify decision-makers (owner, head chef, founder) & their emails using Snov.io ?? Step 3: Personalize at Scale - Use Claude 3.5 Haiku by Anthropic to craft personalized emails based on the information collected - Include role-specific pain points - Reference their current tech stack The result? Hyper-specific message to a niche audience

Here's how I'd use job descriptions to close more deals at scale??? Perfect for recruitment/staffing firms connecting talent with growing companies or SaaS teams identifying businesses using competitors. The framework is as follows with job descriptions: 1. Use keywords if you’re a recruitment agency to match qualified candidates with specific job requirements (for example: look up words like "Java" for software engineering jobs) 2. If you're in SaaS, mention your competitor’s tech (for example: Look for Salesforce experience in a BDR job description if you’re selling against them, like if you’re HubSpot) Here's the step-by-step guide: 1. Using Clay to scrape LinkedIn job postings ?? 2. Add relevant keywords related to your product or service ?? 3. Generate detailed lists of companies hiring for these roles ? Check out the demo below??? #recruitment #clay #SaaS

I automated account research that takes most sales teams all day into a 20-minute process. Here's how... ?? Step 1: First, I used Clay to find recent hires (< 4 months in the role) at 2-50 employee companies, filtering for founders and sales leaders. Around 5,000 names goes into a table. ?? Step 2: Then I normalized the data: - Cleaned up company names automatically (ex: removing LLCs, Inc., etc.) - Simplified job titles (ex:"Partner | Sales Director" to just "Partner") ??Step 3: Here's where it gets interesting...I used ClayAgent to: - Automatically classify companies as B2B or B2C by analyzing their entire website content. It scans pricing pages, features lists, and customer stories to identify if they sell to businesses or consumers. - Next, I created a column that combines "builtwith.com/" followed by each company's domain. Then, I used ClayAgent to scan these BuiltWith URLs and look for specific keywords. When it finds "HubSpot" or "Salesforce," it automatically returns "Yes, HubSpot" or "Yes, Salesforce" in the cell. This lets me instantly know which CRM they're using, with zero manual checking. - Finally, I found their success stories by scanning for case studies across their website – including testimonials, portfolio sections, and client showcases. ClayAgent extracts the actual client names which you can reference in your outreach. ?? Step 4: I ran a waterfall email enrichment to find emails among different providers like LeadMagic, Prospeo.io, Findymail & verified it with Enrichley. The result? A hyper-personalized outreach list with:? ? Recent hire status? ? Company type validation ? Tech stack insights? ? Real case study references? ? Verified email addresses Check out the demo below??? #sales #b2bsales #HubSpot #SalesForce #salestech

How to automate research and outreach to newly funded startups - with a click of a button Check it out: 1. I set up a Clay table that pulls the RSS feed from GeekWire (a tech news site). RSS feeds allow you to view content from a website automatically. 2. The RSS feed automatically imports each new article with: ??- The article title ??- A link to the full article ??- The article content 3. Next, I prompted AI to analyze each article to: ??- Determine if it mentions a recent funding round ??- Extract the specific funding amount (Series A, Series B, etc.) ??- Identify the investors involved if it mentions any ??- Extract the company name that received funding 5. For each output that mentions funding, I asked ClayAgent to: ??- Find the hyperlink name of the business that received funding mentioned in the article. ??- Identify and extract the funded company's website domain ??- Used this domain as the foundation for my prospecting 6. With the domain in hand, I run a "find people" search in Clay targeting: ??- VPs of Sales ??- Directors of Sales ??- Founders ??- CEOs From here, you have four options: - Option 1: Find email addresses using a waterfall enrichment and send personalized congratulatory videos using Bethany Stachenfeld's Sendspark (my preferred method) - Option 2: Automatically create records in your CRM with everything found - Option 3: Generate tailored email copy and automate the outreach using Instantly.ai or Smartlead The best part? You can just click update every morning, and it'll do everything automatically.

I analyzed 5,000 job posts to find companies ready to scale. Total cost: $5 Perfect for SaaS companies, recruiting firms, professional services companies, or anyone offering solutions to growing teams. Here's the exact process... ?? Step 1: Use LinkedIn job search + Apify - Do a boolean search for "Business Development Representative OR Sales Development Representative" positions - Scrape 5,000+ job postings using Appify's LinkedIn job scraper - Cost: About $5 for 5,000 leads ?? Step 2: Clean & Filter Your Data using Clay - Target companies with <100 employees - Remove recruiting firms (we want direct companies) - Normalize company names and job titles using formulas ?? Step 3: Find Decision Makers - Identify job posters (usually hiring managers)? - Also find up to 3 key decision-makers per company (CEOs, VPs of Sales, etc) using find people search. - Use waterfall enrichment to find emails (LeadMagic, Findymail, Prospeo.io) & verify using ZeroBounce? - Extract value propositions from all the company descriptions using GPT 4o mini & Create personalized outreach mentioning their specific job posting. ?? Step 4: Set Up Your Smartlead Campaign - Create a new campaign targeting your enriched prospect list Import your verified emails with custom variables - Analyze weekly: optimize subject lines and copy based on performance What’s your favorite way to use job postings?

A HUGE thank you to all the amazing professionals who have been tagging PredictLeads and sharing how our data helps in sales and marketing strategies! ?? ?? It’s incredible to see our data being used in so many innovative ways - from Job Opening signals to Technographic insights, News Events, and beyond. Shoutout to: - Hermann Siering (Noord50) for highlighting how PredictLeads helps in cold outreach by scraping job postings for hyper-relevant personalization. - Davidson B (Zerocac) for showcasing job opening data as a key sales trigger for GTM efficiency. - Soheil Saeidmehr (ColdIQ) for mentioning PredictLeads in waterfall personalization strategies. - Dan Rosenthal (ColdIQ) for featuring job openings as a third-party signal for account-based marketing. - Hammad Afzal (NETSOL Technologies Inc. Technologies) for including PredictLeads in a top B2B tech stack for 2025. - Prahlad Ekambaram (GetReplies) for recognizing PredictLeads as a go-to source for AI-powered company insights. - Michel Lieben ?? Lieben (ColdIQ) for listing PredictLeads as a top alternative for technographic data. - Dvin Malekian (WarmLeads.io) for leveraging PredictLeads to enrich data and identify competitor technologies. - Elom Maurice A. (Clay Product Expert) for mentioning PredictLeads as part of an intent-driven enrichment strategy. - ??Eric Nowoslawski (Growth Engine X) for showing how PredictLeads can power competitor analysis and integration targeting. - Andreas Wernicke (Snowball Consult) for highlighting PredictLeads' deep tech stack insights. - Benoit Lecureur (gyfti) for featuring PredictLeads in a comprehensive outbound tech stack. - Nayab Osaf ?? (Clay Bootcamp ??) for emphasizing job postings as key insights into company growth and hiring trends. - Papa A. Sefa (Leveraged Outbound) for recognizing PredictLeads as a core data provider for intent signals. There are many more content creators out there who are finding value in PredictLeads data - we’d love to tag and recognize everyone for their hard work and insights! ???? We also wrote a blog post diving deeper into how PredictLeads is helping teams scale their outreach with smart intent signals. You can find it here: https://lnkd.in/gYiJ-z66. If you’ve used PredictLeads in your workflows or shared insights on how our data helps drive smarter outreach, drop your post in the comments - we’d love to feature and celebrate your work! ?? #B2BData #SalesIntelligence #GrowthMarketing #SalesEnablement #OutboundProspecting #ABM #GTM