Lead Qualification Processes

I built an AI agent that handles my entire inbound system. (And I used to be against automation). Here's how I did it: I used two tools: --> Make: For automation workflows --> Relevance: For AI agents Here's what my AI agent handles: When someone fills our form, it- --> Analyzes their LinkedIn profile --> Reviews their website --> Checks if they match our criteria --> Makes a decision in seconds For qualified leads: --> Sends personalized pitch deck --> Books discovery calls --> Handles initial questions For non-qualified leads: --> Sends a thoughtful rejection --> Explains why we're not the right fit --> Keeps the door open for future The best part? My team and I can focus on what matters - strategy and client success - instead of spending hours on admin work. No more: -Manual lead checking -Back-and-forth emails -Calendar scheduling headaches -Just high-quality conversations with pre-qualified founders. Want to know the biggest lesson? Automation isn't about replacing the human touch. It's about creating more time for it.

Stop lumping your customers into broad categories like age and income. You're missing out on the secret sauce—occasion-based segmentation. Your thrifty weekday customer is the same guy ordering an extravagant pizza and Cola combo on Saturday night. People don't change; the occasion does. Tailor your marketing strategy to occasions, not stereotypes. Imagine a restaurant pushing cheap rice bowls Monday to Friday and going full-throttle with pricey pizza ads on weekends. We did this with Swiggy - two of the brands in my portfolio were Homely (an affordable homestyle meal brand) and The Bowl Company (a premium meal brand). We realised our consumers were pretty much the same people - young professionals who ordered Homely during the weekdays to eat home-style food that was ‘safe’ for the stomach,  and The Bowl Company on weekends for splurging and partying. Switch to occasion-based segmentation, and you won't just see higher sales—you'll understand the fluidity of consumer behaviour like never before. It's not just smart marketing; it's respecting the complexity of your customer. #marketing #marketresearch #business

Our TAM is 20K. So why do we have 100K accounts in Salesforce? This is a common situation in B2B. But don’t blame RevOps. The traditional data providers trained everyone to “filter and flood.” Set some filters → Query their database → Pull some lists → Flood accounts into CRM → Manual review sessions → Repeat. Account selection is the starting point for ABM. But “filter and flood” is broken. Boolean filters don’t describe nuanced ICPs. One-time data dumps don’t enable continuous iteration. And don’t get me started on the data quality issues — rigid filters force you to treat estimations like hard facts. Here's another option. 1.) Define an ICP model — Analyze nuanced patterns in your best customers. — Weight different factors in a back tested model. — Go beyond size and industry, include clues about situations, problems, and priorities. — Use Keyplay AI or build DIY. Either way a dynamic model beats rigid filters. 2.) Use gradients (instead of drawing hard lines). — Transition from filters to scoring. — Decide on thresholds based on the specific segment, play, or campaign. — Have a dynamic score so that you can continually surface opportunities. 3.) Create a continuous selection process. — Make it a program, not a one-time project. — Set a cadence to find new accounts and try new ideas. Gamify it a bit. — Work in tandem with sales territory planning cycles to keep everyone coordinated. Account selection is not the most glamorous part of building ABM. But we all know it matters. Even our most brilliant account-based engagement program is doomed if we target the wrong accounts. So it’s worthwhile to get it right. #marketing #sales #ABM #ICP

Most people have the wrong idea about sales. The pushy SDR. The smooth-talking closer. The reality: good sales is simply the art of removing friction. Here's what sales actually looks like: Early Airbnb hosts hesitated to list their homes. The stated problem was "no bookings," but the hidden objection was trust. Brian Chesky (CEO) went door-to-door in New York in 2009 and watched where confidence fell apart - poor photos and thin profiles. He didn't add more explainers about trust and safety. He removed the psychological barrier. Pro photography. Identity verification. Conversion lifted. Sales wasn't persuasion. It was friction removal. Founders do the opposite because they're uncertain. So they overexplain and try to overqualify every lead. They add more copy, more form fields, more steps. Each one asks users to trust you before they have proof. Here's where that shows up: Landing pages: You wrote three paragraphs explaining your product. Healthy landing page conversion (visitor to signup) is 3-6% (OpenView). Below 2%? Your message isn't landing. Cut it to one line: "For [who], we [outcome]." Signup forms: You ask for company name, role, team size. Each extra field causes 10-40% drop-off. Start with email and password. Get them to value first. Pricing pages: You buried pricing three clicks deep. If users work to find your price, you lost them. Make it visible. "Cancel anytime.” Things you can try this week: 1. Watch 3 users try your product. Track where they stop: landing, signup, first action, first value. That's your barrier. 2. Remove the biggest friction point(s). Low landing conversion? Test if a stranger can explain what you do in 5 seconds. Low activation? Cut steps between signup and first value. 3. Measure. A 10% lift on 2% landing conversion means 2.2%. On 10K monthly visitors, that's 20 more signups. Good sales is listening for where users stop and removing what's stopping them. Build the product and remove everything between them and proof.

Most AI workflows overpromise & undersell. But one of my favorites has (actually) driven hundreds of thousands in incremental revenue. The CEO of Zapier—who’s the homie—shared it with me, and I’ve been hooked ever since. Think of it as an AI SDR, who qualifies, organizes, and engages sales leads. Here are all of the steps my sales sidekick takes: 1) Extracts the name, email, company, role, and website for any lead that fills out a sales form on our website 2) Researches the lead online to gather the following info: - Company website & recent news - Linkedin profile and background - Company size, industry, and estimated funding/revenue/growth indicators - Specific pain points related to my company’s service 3) Compares lead info against ideal ICP criteria I’ve set: - US-based company - VP-level & up  - Revenue: $10m-$500m annually  - Company size: >50 employees 4) Scores the lead as “Great Fit,” “Possible Fit,” or “Poor Fit” based on ICP comparison 5) Adds a new record to our CRM with the following details: - Contact details (name, email, company, role) - Research findings (company size, revenue, industry) - ICP fit score - Date submitted 6) Conditional logic based on Lead Fit IF lead is “Great Fit” Draft a personalized email in Gmail incorporating: - Their specific company challenges identified in research - Relevant case studies from similar companies - Clear next steps for a discovery call IF lead is “Possible Fit” Send direct message in Slack to me with:  - A summary of lead and research findings - Reasons for uncertainty regarding ICP fit - A recommendation with supporting data - The question: “Should I draft a response email for this lead?” IF response is “yes”: follow great fit action  IF response is “no”: no response Update CRM for this lead based on action taken in Step 6. Let me know if you have any questions—and if you take it for a spin—let me know what you think. #ZapierPartner

"Do you have budget? Who makes decisions? What's your timeline?" Your prospect just mentally checked out. They've heard these same three questions from every vendor who's called them this week. You're losing deals because you're QUALIFYING instead of DISCOVERING. After coaching hundreds of reps who crush small deals but lose the big ones, I've identified the #1 mistake in enterprise sales: → Treating discovery like a vendor interrogation instead of a trusted advisor conversation. Here's the reality: 10% of prospects will never buy, 10% will always buy, and 80% can be swayed either way. That middle 80%? They're won or lost in discovery. Most reps ask surface level questions and move on: "We're losing customers." "Got it. Next question." But top performers go DEEP: "How many customers exactly? What's the revenue per customer? What's your current churn rate? How does losing customers impact your ability to hit growth targets?" Suddenly you're not solving a "customer retention issue." You're solving a $300K annual revenue leak that's preventing them from hitting their board commitments. This is why I developed the POWERFUL framework: P - Pain  O - Opportunity cost  W - Wants and desires  E - Executive influence  R - Resources  F - Fear of failure  U - Unequivocal trust L- Little stuff" When prospects believe at a level 10 in all eight areas, deals roll fast. The hardest territory to manage is the one between your ears. When you change your mindset from "Do they qualify?" to "How can I understand their world?", you'll start winning those 6 and 7-figure deals you've been losing. One of my clients, Samantha, went from struggling with mid-market to closing 10 Fortune 500 logos in 5 months using this framework. Cold to close. Remember: Prospects don't buy from vendors who qualify them. They buy from advisors who understand them. Sales leaders: Stop training your reps to run through checklists. Train them to pull threads and go deep. Discovery isn't a step in your process - it's embedded in every conversation until close. — Reps: Book your call now to get the EXACT blueprint elite reps use to crush their quotas. https://lnkd.in/gr9u5Vgd Sales leaders: If you're serious about building a sales machine that consistently doubles results in 90 days, visit https://lnkd.in/ghh8VCaf

Your ICP is not a persona slide. It's a lot of things. But the first thing it is? A scoring system. Can't score a company 0 to 100 on fit? Then you don't have an ICP. You have an opinion. Here's how to build one today. Step 1. Score your best customers. Open your CRM. Top 20 accounts. Not biggest logos. Best behavior. Rate each one, 1 to 5: Revenue. Velocity. Time to impact. Feature depth. How easy they are to work with. Multiply. Sort. Your top 20% just showed you what ideal looks like. Step 2. Find the pattern. What do those top accounts have in common? Firmographics. Industry, size, geo. Technographics. What tools they run. Signals. What happened before they bought. 5 to 8 attributes that keep repeating. That's your scoring criteria. Step 3. Weight it. Not everything matters equally. Industry match might be 25 points. Revenue range 20. Tech stack 15. Signals 15. Here's what most people miss. Different customer types need different weights. A TripAdvisor rating predicts buying behavior for a small restaurant. Means nothing for a PE-backed chain. Multiple segments? Multiple weight models. Score out of 100. Step 4. Tier your list. Tier 1 (80+): Looks like your best customers. Tier 2 (50 to 79): Good fit. Some gaps. Tier 3 (below 50): Not now. What you do with each tier is a different post. This one is about the score. Now the hard part. The smaller you are, the narrower tier 1 should be. At €1M ARR you don't need 5.000 tier 1 accounts. You need 50. But at that stage you have less data. Maybe 15 customers, not 500. Your model is more hypothesis than proof. That's fine. Start with 10. Iterate every quarter. Step 5. Validate across the whole journey. Your scoring model is a hypothesis. Here's how you prove it. Map these cycles per tier: MQL to SQL time. SQL to Win time. Win to Onboard time. Time to first impact. Time to full impact. Those are your actual validation cycles. If tier 1 accounts move faster, onboard smoother, and reach full impact sooner, your model works. If not, adjust the weights. Check every quarter. Homework: pull your top 10 customers. Score them. What do the top 5 have in common that the bottom 5 don't? That's your scoring model v1. ← Previous: https://lnkd.in/e49kzxXS Next → https://lnkd.in/eHXJunHT

How to Create the Nurturing Agent in Agentforce Marketing This is the agent that reaches out to your leads on its own. The Nurturing Agent evaluates whether a lead is likely to convert based on criteria you define, sends personalised emails via your connected Gmail or Outlook account, answers questions from leads within the email thread, and qualifies them based on the questions you've configured. This guide covers the full setup — enabling Lead Nurturing in Agentforce for Sales, creating the Agent User with email connectivity, configuring a Data Library (knowledge base, documents, or web search), building the agent using the Lead Nurturing template with your company context and qualification settings, and setting up assignment rules so leads matching specific conditions (city, job title) are automatically assigned to the agent. Once activated, a new lead entering your CRM can receive a personalised outreach email within minutes — no human intervention required. Link in comments.

Prospecting isn’t about chasing everyone—it’s about focusing on the right ones. Too many salespeople still believe that the more calls they make, the more demos they run, the more activity they generate… the better their results will be. But activity without qualification is just noise. And noise doesn’t build pipelines. The real differentiator in sales is your ability to quickly determine who actually has potential—and who is simply taking your time. It starts with identifying true buyer intent—not just interest. Then, understanding the problem they’re trying to solve, whether your solution is truly viable, and who the actual decision maker is. From there, you uncover the level of proof they need and how they personally define success. When you ask these questions early, you protect your time, increase your close rate, and build stronger relationships with customers who genuinely value what you deliver. Great prospecting isn’t about doing more. It’s about doing what matters. Focus on the right prospects, and everything else becomes easier.

We keep seeing this on founder pitch decks and outbound campaigns. "We sell to B2B SaaS companies." That's not a target market. That's about 200,000 companies. Here's what a real ideal customer profile looks like. Series A or B, 30-150 employees, product-led or sales-assisted motion, minimum $50K average contract value, less than 12 months of sales-led go-to-market experience, a founder who is still in most late-stage deals. That last part matters most. Because if the founder is still in most late-stage deals, they have the exact problem we help solve. The difference between those two descriptions is not a semantic exercise. It changes your outbound copy, your LinkedIn targeting, your event strategy, your referral asks, and most importantly... your conversion rate. Generic is comfortable. Specific feels risky. But specific is what gets replies. And replies are what become revenue. The narrower you go, the bigger your pipeline gets. Every time.