Michael J C Beckett's Linkedin Analytics

Why Hiring In-House SDRs Is a Risk Most Startups Can’t Afford You raise a round. You feel the pressure to grow pipeline. So you hire SDRs — fast. Then reality hits: ❌ It takes months to ramp. ❌ They’re burning cash while figuring it out. ❌ And by the time they’re productive, they’ve moved on or the market’s shifted. Early-stage teams don’t need headcount. They need momentum — quick, qualified conversations with the right buyers. The mistake? Confusing “building a sales team” with “generating pipeline.” There’s a leaner way to do it: Focus on outcomes, not roles. Pay for results, not effort. Buy back your time, not build more overhead. Before hiring your next SDR, ask yourself: Would I rather manage a team… or just take qualified sales calls? Big difference.

Your LinkedIn DMs are tanking your demo bookings. Seriously, those "hyper-targeted" pitches? 🥱 They scream 2005 corporate jargon. At CostPerDemo, we create DMs that: - Hit the right people - Sound human - Use AI personalisation for relevancy. Want my exact framework for 20%+ reply rates? 1. Connect with me 2. Comment “GUIDE” I’ll DM you the free guide. Don’t sleep on this.

Why “Transparency” in Lead Gen Usually Means Confusion You get the weekly report. Looks fancy. Metrics everywhere. But here’s the problem: You still don’t know where your pipeline is coming from. Or why it’s not converting. Most agencies overwhelm you with: ❌ Screenshots of outreach tools ❌ Vanity metrics (open rates, click rates, connection requests) ❌ “Activity” reports that show effort — not results But effort isn’t the goal. Revenue is. Real transparency looks like this: ✔️ Who was contacted ✔️ What was said ✔️ Who responded ✔️ Which leads booked ✔️ Which turned into real opportunities If you can’t trace pipeline back to specific actions, you’re not in control — you’re just hoping it works.

Your LinkedIn feed is starting to feel like an AI bot convention. 🤖💬 Seriously, these “authentic” posts and comments? Is the goal only to please the algorithm gods? It’s a digital echo chamber out there, and ironically, I decided to test the new Qwen3-235B-A22B model to create this video and Grok to craft this post. 😆 Do we embrace this as the new norm? Or is human intervention needed? Share your thoughts below—I’m curious to hear from humans and AIs! 👇 #AI #LinkedIn #FutureOfWork #Tech

Stop Selling Features. Sell the Problem Instead. Most sales pitches sound like this: ❌ "Our tool automates X, integrates with Y, and improves Z." Cool. But why should anyone care? Your prospects don’t wake up thinking about your product. They wake up thinking about their problems. A better approach: ✅ Start with the pain. "Right now, most teams waste hours manually handling X. It slows down [pain point] and costs [real consequence]." ✅ Show what happens if they ignore it. "Companies that delay fixing this usually see [negative outcome]." ✅ Only then, introduce your solution. "We help teams eliminate this problem completely—without adding more work." Nobody buys features. They buy a way to remove pain.

Why Most Outreach Automation Breaks Before It Scales Everyone’s chasing scale. “Let’s add more tools, more inboxes, more sequences.” Cool. Until your: ❌ Deliverability tanks ❌ Messages get flagged ❌ Prospects see through the automation Here’s the hard truth: If your messaging doesn’t work at 1:1, it won’t work at 1:100. Scaling a broken system just makes the failure faster (and louder). The fix isn’t more automation. It’s better fundamentals: ✔️ Clear positioning ✔️ Sharp targeting ✔️ Relevance over volume Scale should amplify what’s working — not hide what’s broken. So before you invest in the next “outreach engine,” ask yourself: Is my messaging actually resonating… or am I just hoping the volume makes up for it?

Why Reply Rates Are the Most Overrated Metric in Outbound Everyone’s chasing 20%+ reply rates. Sounds impressive, right? Until you look closer... and realize 90% of those replies are: ❌ “Not interested.” ❌ “Take me off your list.” ❌ “How did you get my info?” Here’s the uncomfortable truth: High reply rates don’t mean sh*t if the replies aren’t turning into revenue. At CostPerDemo, we only care about one thing: ➡️ Did the message lead to a qualified meeting? So we stopped optimizing for fluff metrics like: Open rate (cool, they saw it — now what?) Reply rate (irrelevant if they’re not buyers) Positive sentiment (good vibes don’t pay the bills) Instead, we optimize for: ✔️ Qualified booked demos. ✔️ Show-up rate. ✔️ Closed-won influence. The goal isn't to “start conversations.” It’s to drive pipeline. So next time someone brags about their 30% reply rate... ask them how many closed deals it led to. Different game entirely.

B2B SaaS lead gen is a grind. Cold emails? 1% reply rates. Paid ads? Expensive, unqualified leads. LinkedIn InMails? Deleted on sight. I’ve spent years mastering LinkedIn prospecting, booking hundreds of qualified sales calls for B2B SaaS companies at CostPerDemo. Here’s what my clients are seeing: - HR SaaS: 10 qualified calls booked in 20 days - Fintech SaaS: $0 to $8K/month in 5 months - CRM SaaS: 12 calls booked in 30 days Want the framework getting my clients 5-10+ decision-maker calls a week? It’s not about spamming DMs or pitching like a used-car salesperson. It’s about 3 things: 1 - Talk like a peer (no corporate buzzwords) 2 - Solve their pain (not your quota) 3 - Build trust fast (without being pushy) I’ve packed my top strategies into a free guide 🔥 - The 3 LinkedIn mistakes killing your reply rates - My DM template with 20%+ response rates - How to qualify SaaS prospects before the call - The trick to booking 3+ calls/week in under 4 hours To get it: 1. Connect with me if we’re not already 2. Comment “DEMO” below 👇 I’ll DM you the guide. These posts get a ton of love, so hang tight—I’ll get to you. Don’t let bad lead gen slow your SaaS growth. Grab this now.