PLG vs SLG Metrics: Which Dashboard Do You Need

What Is Driver-Based Revenue Forecasting?

A revenue forecast is a projection of the money your business will earn over a defined future period. There are two ways to build one:

Top-down forecasting starts with the total addressable market and works down to a market share assumption: “The UK B2B software market is worth £10 billion. If we capture 0.1%, we generate £10 million in revenue.” Useful for sizing the opportunity, useless for operational planning. Investors have heard thousands of 0.1% market share projections and are rightly sceptical.

Bottom-up, driver-based forecasting starts with the specific activities that generate revenue: “We have capacity to run 20 outbound sales conversations per week. Our conversion rate is 10%. Our average contract value is £12,000 per year. That gives us 2 new customers per week, or roughly 100 new customers per year, generating £1.2 million in new ARR.” Every assumption in that chain is testable, improvable, and explainable.

Driver-based forecasting is also the input layer for your 3-statement model — your revenue drivers feed the income statement, which integrates with the balance sheet and cash flow statement.

Why a Revenue Forecast Startup Needs a Different Approach

Established businesses forecast revenue by extrapolating historical data. Startups do not have historical data. The entire forecast must be built on forward-looking assumptions rather than trend lines. A driver-based model built on transparent assumptions is actually more useful to an early-stage investor than a statistical extrapolation, because it makes the business logic explicit and discussable.

The Core Framework: Identify Your Revenue Drivers

What Is the Real Difference Between PLG and SLG?

Product-led growth means the product itself drives acquisition, activation, and expansion, typically through a free trial, freemium tier, or self-serve signup with little or no human sales touch for the initial purchase. Sales-led growth means a sales team drives the buying process from first contact through signature, typically involving demos, proposals, procurement, and negotiated contracts.

The confusion founders run into is not understanding which motion they actually run, and then measuring the wrong things. A company with a self-serve signup flow that still requires a 45-minute demo call to convert most paying customers is not really PLG; it is SLG with a marketing-qualified funnel. Get this classification right first, because it determines which metrics below actually matter to your business.

How Do PLG and SLG Metrics Compare?

Metric	PLG benchmark	SLG benchmark	What it tells you
CAC (fully loaded, per $1 new ARR)	$0.20-$0.40	$0.60-$1.00+	Cost efficiency of the acquisition motion
Average contract value (ACV)	$1,000-$12,000	$15,000-$150,000+	Deal size the motion is built to close
Sales cycle length	Same day to 14 days	30-180+ days	Time from interest to signed contract
Free-to-paid or trial conversion rate	2-6% (freemium), 15-25% (free trial)	N/A (not usually applicable)	Self-serve funnel efficiency
Logo churn (annual)	10-20%	5-12%	PLG serves more small accounts, which churn faster
NRR	95-110%	100-120%	SLG typically wins on expansion within named accounts
Sales headcount per $1M new ARR	0.2-0.5 reps	1-2 reps	Headcount efficiency of the motion

The pattern is intuitive once you see it laid out: PLG trades lower CAC and faster cycles for smaller deal sizes and higher churn at the bottom of the funnel. SLG trades a much more expensive and slower acquisition motion for larger, stickier accounts with better expansion economics. Neither is universally "better." The right motion depends on your price point, buyer type, and how much value the buyer can realize without ever talking to a human.

Which Metrics Actually Belong on Each Dashboard?

The PLG Dashboard

A PLG dashboard should be organized around the funnel from signup to expansion, since the product is doing the selling:

• Activation rate: percentage of signups who complete the action that correlates with retention (often called the "aha moment"). Best-in-class PLG companies see 40-60% activation within the first session or first week.
• Time to first value (TTFV): how long from signup to the user experiencing the core value. Shorter is almost always better; top PLG products get this under 10 minutes.
• Product qualified leads (PQLs): users who have hit a usage threshold that signals purchase intent (e.g., invited 3+ teammates, hit a usage cap). This replaces the SQL as the primary handoff signal to sales or to an in-product upgrade prompt.
• Free-to-paid conversion rate: the single most important self-serve funnel metric.
• Expansion within account (seat growth, usage-based upsell): PLG companies often monetize expansion through usage or seats rather than a sales-negotiated upsell.

The SLG Dashboard

An SLG dashboard should be organized around pipeline velocity and sales efficiency:

• Sales qualified leads (SQLs) and SQL-to-opportunity conversion rate: the volume and quality of leads sales actually works.
• Win rate by stage: percentage of opportunities that convert at each pipeline stage, which reveals where deals stall.
• Sales cycle length by deal size: critical for forecasting and covered in depth in our sales cycle benchmarks post.
• Quota attainment and ramp time: how quickly new reps become productive, and what percentage of the team is hitting quota.
• Average sales cycle to first expansion: when and how existing accounts get upsold, usually through a renewal or QBR-driven motion rather than in-product triggers.

How to Build the Right Dashboard for Your Motion

1. Classify your actual motion honestly using the definition above: does the product convert without a human, or does a human close nearly every deal?
2. Pick 5 to 7 metrics maximum for your primary dashboard. More than that dilutes focus and most teams end up ignoring half the metrics anyway.
3. Put the funnel-defining metric at the top. For PLG, that is activation rate or PQL volume. For SLG, that is qualified pipeline coverage (typically 3-4x your quarterly bookings target).
4. Add one retention metric and one efficiency metric regardless of motion: NRR (or logo churn) and CAC payback period, since both motions are ultimately judged on whether the unit economics work.
5. Review the dashboard on a cadence that matches your cycle length. PLG dashboards should be reviewed weekly given the speed of the funnel; SLG dashboards are often better reviewed against a monthly or per-sprint cadence tied to pipeline stages.
6. Reforecast using scenario modeling rather than a single static number, since PLG and SLG motions respond very differently to changes in spend. Use the three-scenario planner to model base, bull, and bear cases for each motion separately if you run a hybrid model.

What This Means for Founders by Stage

Pre-seed. Do not build a full dashboard yet. Pick the two or three metrics that tell you whether your assumed motion is actually working: for PLG, activation rate and TTFV; for SLG, meetings booked and win rate on your first 10-20 deals.

Seed. Formalize the dashboard above for your actual motion. This is also the stage to be honest about whether you are PLG, SLG, or a hybrid, since misclassifying your motion leads to hiring the wrong team (a large sales org for a self-serve product, or a growth/marketing-only team for a complex enterprise sale).

Series A. Investors will benchmark your metrics against motion-specific comparables, not blended SaaS averages. A PLG company defending a 12% annual logo churn rate against an SLG benchmark of 8% looks unnecessarily weak; defended against the correct PLG benchmark of 10-20%, it looks healthy.

Series B and beyond. Most companies at this stage run a hybrid: PLG for land, SLG for expand into larger accounts, or a "product-led sales" motion where sales assists high-intent PQLs. Your dashboard should evolve to track both motions separately with a clear view of which one is driving net-new ARR versus expansion ARR.

Frequently Asked Questions

Can a company be both PLG and SLG at the same time?

Yes, this is increasingly the norm rather than the exception. Many companies use PLG for initial adoption and small-team accounts, then layer in sales-assisted upgrades once usage or team size crosses a threshold. Track the two funnels separately even if the product is the same.

What is the single most important PLG metric for a seed-stage company?

Activation rate is generally considered the leading indicator, since it predicts both conversion and retention. A company with high signups but low activation has an acquisition channel problem disguised as a product problem.

What is the single most important SLG metric for a seed-stage company?

Win rate, specifically win rate against your closest competitive alternative (including "no decision," which is often the real competitor at seed stage). A low win rate signals a positioning or pricing problem that no amount of pipeline volume will fix.

Do PLG companies need a sales team at all?

Most successful PLG companies eventually add a sales-assisted layer once average deal sizes grow, typically triggered by usage crossing a threshold that signals a larger organizational buyer. Pure self-serve with no sales touch tends to cap ACV well below what most venture-scale outcomes require.

How often should we revisit which motion we are actually running?

At least once a year, or any time your ACV shifts materially. A company that starts as pure PLG at $50/month ACV but finds its best customers actually want a $20,000/year contract with procurement and security review has drifted toward SLG, whether or not the dashboard has caught up.

Model your metrics with Raise Ready's free financial model tool. Build separate revenue and cost assumptions for your PLG and SLG motions inside your startup financial model so your board dashboard and your financial model tell the same story.

Further Reading

• What Is a Startup Financial Model?
• The Rule of 40 Explained
• Churn Rate Calculation and Cohort Analysis
• Runway and Burn Calculator
• Financial Model Pro