Key Metrics for SaaS Sales Readiness

Follower count is vanity. Pipeline is sanity. Most companies measure LinkedIn success wrong. Here's what actually matters: Most companies focus on vanity metrics that don't predict revenue. Let's change that. VPs of Sales, Founders & Chief Revenue Officers care about one thing: pipeline. Here are the 6 metrics that actually correlate with revenue: (1) Inbound DM Quality Measure qualification rate and response-to-meeting conversion. Aim for 25% qualified, 40% conversion. (2) Engagement-to-Conversation Rate Track how many engagements turn into real conversations. Best performers see 10% conversion. (3) Outbound DM Quality Measure total response rate, positive response rate & meetings book. Aim for 30% total response rate, 25% positive response rate, 75% meetings converted. (4) Profile-to-Pipeline Velocity Measure time from first profile view to meeting booked. Target: 30 days or less. (5) 1st-Degree Connection Growth Monitor ICP penetration rate. Benchmark: 300 new 1st-degree connection growth in target accounts monthly. (6) Self-Reported Attribution Track "How did you hear about us?" on discovery calls. LinkedIn should account for 20%+. Tracking Framework: - Weekly: Monitor these 6 metrics - Monthly: Analyze trends - Quarterly: Forecast based on pipeline velocity ROI Validation: We helped a SaaS client generate $2.1M in pipeline in 90 days using this framework. LinkedIn was directly attributed to 32% of new opportunities. Common Mistakes: - Obsessing over followers - Focusing solely on post likes - Ignoring multi-touch attribution Here's what to do tomorrow: 1. Audit your current LinkedIn metrics 2. Implement these 6 revenue-predicting KPIs 3. Set benchmarks based on your sales cycle Shoot me a DM if you want to turn LinkedIn into a top revenue generator for your B2B company.

$5,000,000 revenue. 100 employees. Zero real metrics. Here's the dead-simple system that fixes it this week: Last week, I was talking to a founder who built a high-touch SaaS platform for medical practices. Great margins, solid team, but he was hitting the leadership ceiling hard. When I dug into his operation, I found the problem immediately. No cascading KPIs. No clear metrics. No visibility into who was actually performing. He was running a $5M business like a corner store. Making decisions based on gut feel. Hoping people would figure it out. Delegating without any way to measure results. That's not leadership. That's expensive guesswork. Here's the exact framework we used to fix it: The 3-Level KPI Stack Level 1: Company KPIs (3-5 maximum) Monthly recurring revenue growth Customer acquisition cost Net revenue retention Gross margin percentage Level 2: Department KPIs (tied directly to company goals) Sales: Lead conversion rate, average deal size, sales cycle length Product: Feature adoption rate, bug resolution time, user engagement Support: Response time, resolution rate, customer satisfaction Level 3: Individual KPIs (tied directly to department goals) Sales rep: Calls per day, demos booked, deals closed Developer: Features shipped, code review completion, sprint goals hit Support agent: Tickets resolved, first-call resolution, satisfaction score The Weekly Execution Process: Monday: Everyone submits their numbers in a shared Google Doc Wednesday: Department heads review and flag issues Friday: Company-wide brief on what's working and what's not No fancy software. No complex dashboards. Just 5 minutes a day to get brutal clarity. The moment you install this system, weak performers can't hide and strong performers get the recognition they deserve. Every decision based on feelings costs you money. Every decision based on data makes you money. Ready to stop running your million-dollar business on vibes? I'm sharing the complete KPI framework that turns chaos into clarity in my upcoming workshop: https://buff.ly/BRpKAKr

Most SaaS founders chase revenue, but the real problem is what they’re not tracking. They focus on: - Sales - Scaling - Signups But behind the scenes, pricing leaks are quietly draining profits. A small tweak in pricing could 2x retention. But without the right metrics, they never see the problem. Pricing isn’t just a number, it’s a growth engine hiding in plain sight. Here’s what you should be measuring: → LTV → CAC → NRR → MRR → ARR → ARPU → Churn Rate → Price Sensitivity → Discount Impact → Expansion Revenue SaaS growth isn’t just about more customers, It’s about pricing them right. P.S. Which pricing metric has made the biggest impact on your SaaS growth? ♻️ If you find value, let others benefit too. __________________________________________ Ready for more SaaS pricing insights? Follow me, Marcos Rivera🔔

Most startups drown in metrics. They track everything. They understand nothing. Sound familiar? Your MRR is growing. Your user count is up. But why does your growth plateau? Because revenue alone doesn’t mean traction. And scaling in the wrong direction is just burning cash faster. The strongest SaaS companies focus on these four areas: 1/ Unit Economics ↳ Shows if your customers generate more value than they cost to acquire ↳ If LTV:CAC isn't 3:1, fix your pricing, retention or acquisition costs 2/ Retention & Efficiency ↳ Tells you if your product is solving a real problem ↳ If churn is above 5% monthly, fix onboarding, engagement loops, or product stickiness 3/ Cash Flow & Burn ↳ Measures how long you can survive without new funding ↳ If runway is under 12 months, cut unnecessary spending or/and test expansion revenue 4/ Operational Efficiency ↳ Measures if growth is increasing profitability or just inflating costs ↳ If gross margins are below 70%, reassess pricing, COGS, and team structure before it’s too late Every metric tells a story. Benchmarks show you where you stand. Your model decides where you're headed. Make sure you're reading the right one Which metric scares you most? ♻️ Share this with a leader who needs clarity And follow Mariya Valeva for more