Leading vs Lagging Indicators for Founders

Updated: November 2025

When startups think about KPIs, they usually jump straight to big numbers: revenue, churn, ARR, MRR, profit.

Those are important, of course, but here’s the catch.

By the time those numbers move, it’s already too late to fix anything.

That’s why every startup needs to understand the difference between leading and lagging indicators, as one predicts what’s coming, and the other tells you what already happened. So if you’re using lagging indicators only, you’re driving while looking in the rear-view mirror.

In this guide, we’ll talk about the leading vs lagging indicators, what they mean, why they matter, and when to use them. 

Let’s dive in! 

A teardown of leading vs lagging indicators

Leading vs lagging indicators

What are leading indicators?

Leading indicators are the earliest signs that your business is moving in the right (or wrong) direction.

They change fast, and they respond immediately when you tweak pricing, improve onboarding, run campaigns, or launch new features.

So, leading indicators tell you what’s likely to happen long before revenue or retention confirm it.

For startups, typical leading indicators include:

  • Number of outreach emails/calls/meetings

  • Amount of daily active users

  • Number of website visitors

  • Amount of trial subscriptions

  • Time spent on the website

  • Net promoter score (NPS)

If these numbers drop today, you don’t have to wait months to feel the impact because revenue will drop later, even if MRR looks healthy right now. This is what makes leading indicators so valuable: they show movement early, giving you time to react before the business is hurt.

Why investors care: Leading indicators signal momentum. They show that the engine is running, demand exists, and growth isn’t accidental. When founders can clearly explain their leading indicators, investors gain confidence that revenue won’t suddenly collapse next quarter because the early signals are strong.

WAVEUP EXPERIENCE:

One of our clients had an 8-month sales cycle and a target of closing 40 deals. If they had only tracked lagging data (signed contracts), they would have realized the problem far too late. Instead, we helped them build a network of leading indicators, such as outreach per sales rep, pipeline volume, and demo-to-proposal conversion.

Within the first month, the early signals showed the pipeline was far too small to ever hit 40 deals. Because the issue surfaced early, the team changed their outreach strategy, rebuilt the funnel, and hit the target instead of discovering the problem eight months later.

What are lagging indicators?

Lagging indicators show the later-stage results of your efforts; they’re a straightforward indicator of success and take a long time to change.

More simply, they tell you what has already happened in your business.

Lagging KPIs move slowly because they measure results after all the steps in the funnel are complete.

Here are some of the common lagging indicators examples:

  • Revenue / EBITDA / Net profit

  • Annual recurring revenue (ARR)

  • Churn rate

  • Retention rate

  • Number of paid clients

  • Expenses

  • Customer acquisition costs (CAC)

  • ROI

These metrics are powerful because they represent proof that customers paid, stayed, expanded, and generated real value. However, lagging indicators only change after success or failure has already occurred.

So, if churn rises, you can’t stop it retroactively. Or if your revenue drops, you can’t reverse it by looking at last month’s numbers.

That’s why relying solely on lagging indicators is dangerous. By the time they send a warning, the problem is already baked into your results. This is also why many founders feel blindsided because everything “looked fine” until suddenly it wasn’t.

Why investors care: Lagging metrics prove traction, PMF, revenue quality, and efficiency. They are the hard evidence behind every claim in your pitch deck. Without them, growth is just a theory.

Related read: 

Key SaaS KPIs to track

Top 12 growth metrics for startups

What’s the difference between leading vs lagging indicators?

Leading indicatorsLagging indicators
Predict what’s comingShow what already happened
Move fastMove slow
Help you change direction earlyHelp you report performance
Great for experimentsGreat for fundraising and forecasting
Example: demos booked/Example: revenue closed

Leading indicators give you room to react. They show what’s happening right now, so you can adjust your strategy before the final outcome. Lagging indicators, on the other hand, tell you the end result, and often, when it’s too late to change anything.

So, the point here isn’t about choosing one over the other; it’s about using both, and knowing when each matters.

Here’s a simple example.

Imagine you have a pipeline of 100 qualified leads and your average annual contract value (ACV) is $20K. On paper, that pipeline represents roughly $2M in potential revenue. Of course, not every lead becomes a customer, but if your historical win rate is 5%, that means:

  • Every 100 leads → around 5 closed deals

  • 5 deals × $20K ACV = $100K in revenue

So, if your goal is $100M in annual revenue, you’d need around $5 billion in pipeline volume to get there (because you’ll only convert about 5% of it).

In this case, you can combine tracking pipeline volume (a leading indicator) and ARR/revenue (a lagging indicator). 

Pipeline volume tells you today whether you have enough demand to hit revenue targets later. If you don’t, you can act early; for instance, add more sales reps, increase outreach, improve conversions, or raise deal size. And revenue and ARR confirm whether those changes actually worked.

This way, you don’t need to wait 6–12 months to discover whether you’ll hit your revenue target. You can see the warning signs today simply by watching pipeline volume.

Here are some simple real-world combinations of leading and lagging KPIs: 

  • Trial signups (leading) + Paid conversions (lagging)

  • Demos booked (leading) + New MRR (lagging)

  • Activation rate (leading) + Retention rate (lagging)

  • Pipeline volume (leading) + Closed deals / ARR (lagging)

And it’s also important to understand which metrics to track at which stage. Here’s a quick snapshot:

  • Early stage → mostly leading(activation, signups, onboarding, demos)

  • Mid stage → mix of both(pipeline, conversions, CAC, LTV)

  • Growth stage → mostly lagging + efficiency(ARR, NRR, burn multiple, runway)

If you want to learn more, check our guide on Startup KPIs: what to track at each stage.
Check here!

Final thoughts

Leading indicators show what’s likely to happen next, while lagging indicators show what has already happened. If you track only lagging metrics, you’ll catch problems when it’s too late to fix them. If you track only the leading ones, you’ll have only predictions.

So, the real power is in using both metric types to get a fuller picture of your business health. When you have that mix, nothing catches you by surprise – revenue, churn, or fundraising pressure.

If you’re unsure which indicators matter for your model or how to present them to investors, we can help. At Waveup, we’ve supported 1,000+ founders with investor-ready decks, financial models, and fundraising strategies. 

Contact us and let’s discuss the details. 

FAQs

What are leading vs lagging indicators?

Leading indicators are early signals that show whether you’re on the right path. They move first and help you predict what’s likely to happen. Lagging indicators move later and show the final results, like revenue, ARR, or churn.

What is an example of a lag and lead indicator?

For example, demo calls booked, trial signups, and daily active users are all leading indicators. On the other hand, closed revenue, churn rate, and customer retention are lagging indicators.

What does a leading indicator do?

A leading indicator tells you what’s coming before the final result. If trial signups suddenly drop, you don’t have to wait three months for revenue to decline; you can fix the issue now. In other words, leading KPIs give you time to adjust your strategy while you still can.

6 posts

Maria

Senior Consultant

Hey! I’m Maria, Senior Consultant here at Waveup. I have over 5 years of experience in operating consulting, analytics, and venture capital. I have worked in top-tier consulting companies and have kept learning from domain experts and world-class VC advisors. In my articles, I share what I have learned from my experiences. I hope to provide valuable insights that can help others who are working in or interested in these fields.