Introduction

The metrics had all been standardized before I arrived, so I took them at face value. Big mistake. I didn’t realize until later that they had been defined by one person at the board level and weren’t truly understood by anyone.

We spent years fighting against front-loaded metrics because redefining them is no small task. Our NDR looked low because we had baked too much upsell into the original ARR. Our CAC didn’t show meaningful improvement since we kept allocating more of the “true cost” to it over time. And our Gross Margin was constantly questioned, as the definition of COGS remained an ongoing debate. But the truth is, these original definitions weren’t wrong and they were consistent with some competitors, but we weren’t prepared for how hard it made future growth.

Unlike GAAP metrics, SaaS metrics aren’t standardized. That leaves you, the finance leader, responsible for defining how you report them with the founders and CEO. It’s a delicate balance:

  • Go too conservative, and you shoot yourself in the foot as you come up short when potential investors compare your numbers to companies using more aggressive definitions.

  • Go too aggressive, and you set growth expectations too high, making them nearly impossible to sustain.

If you don’t believe me… this is an example of a company with the same baseline numbers, just presented by different SaaS definitions.

Q1 - Perplexify - Same Baseline Numbers.

Aggressive CFO

Goldilocks CFO

Conservative CFO

Subscription ARR (future vs. contract based vs. straightline)

5,000,000

4,250,000

3,500,000

Usage ARR (future vs. current vs. past 3 months)

1,500,000

1,000,000

833,333

Total ARR

$6,500,000

$5,250,000

$4,333,333

MRR

$541,667

$437,500

$361,111

Logos

525

525

525





CAC (Tweaked vs. Basic vs. Fully Loaded)

$34,286

$37,714

$44,229

Gross Margin % (hosting vs +implementation vs + CS)

94%

86%

78%

Churn (revenue vs revenue vs logo)

7%

7%

10%

ACV

$12,381

$10,000

$8,254

LTV

$167,075

$123,265

$64,254

LTV/CAC

4.9

3.3

1.5

Yes. Metrics matter.

This isn’t another exhaustive metrics guide, there are hundreds of those, but rather a way to think strategically about how to choose your metrics. 

I once saw a VC poll asking how portfolio companies define ARR and there were five answer choices. Each got over 10% of the votes. Each could lead to an ARR difference of 30-40%. I still think about that when imagining a VC trying to compare company results…

To help you navigate this, I’ve compiled the most common definitions of each metric, organized by risk level, along with their key pros and cons. Naturally, by the time you reach an IPO, you’ll likely be using the most conservative definitions. But until then, you have the flexibility to choose the approach that best fits your company’s stage and growth strategy.

The Bullets

  • Choose each metric carefully to balance backward-looking numbers that make your firm look weak against competitors and forward-looking numbers that bake in unrealistic growth expectations.

  • Whether you lean conservative or aggressive, clarity is key; front-loading ARR might dazzle now, but it can mask churn risk and hamper future growth. Make sure everyone agrees on how you define metrics like COGS, CAC, and churn so they remain consistent and meaningful over time.

  • Prioritize one or two efficiency metrics that genuinely fit your business stage, and be transparent about any underlying assumptions. As you mature (especially moving toward IPO), tighten up these definitions, gradually shifting to more conservative standards that instill confidence in investors and your team alike.

The specifics

1. ARR. Forward-looking vs. current revenue.

This is the key metric for your organization as it's a major part of your valuation. But most of the time companies will define it differently, making comparisons misleading. Your goal isn’t just accuracy today; it’s long term success.

Here are the most common ARR options starting from most conservative to most aggressive. The names for these ARR types aren't even standard, so please refer to the definition for specifics. Of course, all of these calculations are reported on the “live” amount on the last day of the month to include expansion/churn and exclude any one-time fees.

Normal Pricing:

Normal Pricing
ARR Type

Definition

Best For

Key Benefits

Key Risks

Straightline ARR

# of customers × monthly contract value × 12 (net of discounts)

Startups with flat-rate pricing models

- Most conservative method, ensuring stability in reporting.
- Strong expansion optics as customers transition from discounted to full pricing.
- Aligns churn recognition with renewal dates for consistency.

- Understates “future ARR” if steep initial discounts are common.
- Can be unfair to the sales team if it doesn’t reflect full contract value.

Contract-Based ARR

Average contract value per year * # of customers

Companies with long-term contracts that vary in price

- Balanced, middle-ground approach that reflects actual revenue trends.
- Captures the best of both conservative and aggressive methodologies.

- Slightly more complex to calculate and automate, especially in some CRMs.

Future-Looking ARR

# of customers × top contracted value × 12 (full ticket price)

Startups with low churn and short-term discounting

- Presents the highest ARR, making it the most aggressive approach.
- Highlights total contract potential upfront.

- Large gap between reported ARR and actual cash flow.
- Churn has a greater impact, as reported ARR is higher.
- Doesn’t credit Customer Success for renewals at full price, as discounts naturally phase out.
Note: Customers must be churned immediately upon cancellation to maintain consistency in forward-looking reporting.

Usage-Based Pricing:

Usage Based 

ARR Type

Definition

Best For

Key Benefits

Risk

Usage Based (Past 3 Months) ARR

Average price of last 3 months × 12

Stable usage-based models

- Smooths out month-to-month fluctuations, providing a more stable ARR trend.

- Recognition lags behind current usage. - Suffers from the same limitations as Usage-Based Current ARR.

Usage Based Current ARR

Current monthly usage × 12

Usage-based models focusing on current trends

- Encourages strong natural expansion, incentivizing teams to maximize contract value early.

- Hides the full contract value in the short term. - Fluctuates based on monthly usage trends, leading to inconsistent ARR visibility. - If customer usage scales over time, only a small portion is recognized at contract signing.

Usage Based Future ARR

Estimated usage by end of contract × 12

Companies with variable, usage-based pricing

- Reflects the true future value of the contract over the year.

- Requires assumptions that may be inaccurate. - Expansion based on usage is already baked in, so growth impact is muted.

In theory, these numbers should converge over time as customers start paying the full value of their contracts. The real difference lies in whether you’re front-loading ARR (which benefits sales and new revenue optics) or recognizing price increases over time (which supports customer success and strengthens NDR).

Regardless of the approach, your priority should be driving the company’s success while maintaining consistency in your methodology. Always label the specific ARR type and provide a clear link to its definition to avoid confusion.

Tip: Beyond just selecting a definition, you should always break ARR down by product, cohort, and other key slices to get a full picture of your revenue.

2. CAC. What is the "ongoing cost to acquire a customer?”

The goal of Customer Acquisition Cost (CAC) is to measure how much it costs to acquire a new customer today and, more importantly, to give a sense of the ongoing cost as you scale. CAC directly impacts profitability, cash flow, and nearly every key SaaS metric.

Again, we have ordered things from conservative to aggressive:

CAC Types

Definition

Best for

Key Benefit

Risk

Fully Loaded CAC

(Sales + Marketing + Shared Overhead) ÷ New Logos

Large companies with well-defined cost structures

- Provides the most accurate view of total customer acquisition cost.
- Captures the true cost of scaling sales and marketing.

- Requires strong cost allocation, making it harder to control or compare.
- More conservative than most other CAC calculations.

Basic Formula

(Total Sales & Marketing Spend ÷ New Logos)

Mid-size companies

- Easy to calculate and widely used.
- A good balance of accuracy and simplicity.

- In early startups, a few high-salary marketing or sales leaders can skew CAC, misrepresenting future costs. - Assumes leadership hiring won’t scale further.

Tweaked CAC

(Total Sales & Marketing Spend) - (Sales Execs and % of marketing not spent on acquisition) ÷ New Logos

Early-stage startups

- Most aggressive CAC calculation.
- Isolates the cost of acquiring customers through paid channels without assuming a large marketing team.

- Ignores key personnel costs, making it misleading for companies that rely on outbound sales or marketing-driven growth. - Becomes irrelevant as marketing headcount grows.

While CAC seems straightforward, real-world factors add complexity. One key challenge is determining the right time frame for your calculation. If you’re counting new customers this month, should you match them with last month’s sales and marketing expenses or those from two months ago?

The answer depends on your sales cycle and growth dynamics. It’s tempting to apply a long lag (e.g., “We have a six-month sales cycle, right?”), especially since marketing expenses from three months ago are often lower than those from last month. However, be cautious: if you lag your CAC calculation too far behind (e.g., using T-2 or beyond) and then implement a strategic shift (like restructuring) your CAC might appear artificially high for an extended period. That’s because your current customer acquisition results will be compared against past spending from when your growth targets (and marketing costs) were higher.

Much like ARR, the key is to strike the right balance between representing the potential of the business and staying grounded in the current reality. A too-conservative approach might make your growth seem unsustainable, while an aggressive one could overpromise efficiency that won’t hold up at scale.

Tip: Yes, you could project the improvements into forward looking statements, but honestly, future numbers are discounted heavily at growth startups by investors.

3. COGS. If we didn’t do any development…

COGS directly impacts gross margin, which in turn affects CAC Payback, LTV, and nearly every core SaaS efficiency metric.

Below are the most common COGS calculations, ranging from most aggressive to most conservative in terms of cost inclusion.

COGS Calculation

Definition

Best for

Key Benefit

Risk

Software COGS + CS + Implementation

Includes full customer success and implementation costs.

Scale-ups and growth-stage SaaS companies.

- Provides the most accurate view of long-term gross margin.
- Ensures you don’t overstate profitability as customer service scales.

- Penalizes companies where CS plays a major role in expansion. If CS spends more time on upselling than support, this approach can distort actual costs.

Software COGS + Implementation

Adds implementation costs to software delivery expenses.

Companies that expect fixed support costs but not significant scaling in CS needs.

- More realistic than pure software COGS, accounts for the cost of getting a customer fully onboarded.

- Underestimates long-term COGS if customer success/support scales with growth. 

- Can mask the true cost of retention if CS teams continue supporting customers beyond onboarding.

Software COGS

Includes only software delivery costs (hosting, infrastructure, etc.)

Very early-stage SaaS companies that don’t expect Customer Success (CS) or implementation to be a major factor.

- The most aggressive COGS definition, leading to extremely high gross margins. 

- Makes early profitability look strong.

- Severely underestimates true COGS if implementation or customer support is required. 

- Can mislead investors if the business later requires heavy CS or onboarding costs.

In SaaS, hosting costs are typically much lower than implementation or CS expenses. If you only include hosting in your COGS, your gross margin will appear artificially high (often 97–98%), which can be misleading.

It’s better to start factoring in CS and implementation early to give a realistic estimate of scaling costs and prevent gross margin surprises as the company grows.

Tip: This will highly impact your LTV/CAC and CAC payback, so it's critical to understand the most appropriate items to include.

4. Churn. Stay consistent.

Churn is more straightforward than some of the other key SaaS metrics, but the way you define it still matters so we are including it here. The two primary options are revenue churn and customer churn, and each tells a different story about your business.

Churn Calculations

Definition

Appropriate for

Benefits

Risk

Revenue Churn

Lost ARR ÷ Starting ARR

Companies with highly variable price points and plans

- Keeps the company aligned around revenue impact, not just customer count.

- Can mask retention issues if a few large customers dominate revenue.
- May hide broader dissatisfaction if smaller customers churn in large numbers.

Customer Churn

Customers lost ÷ Starting customers

Companies with similar price points and plans

- Keeps focus on customer retention, not just revenue.

- Churning low-value customers can sometimes be a good thing, but this method may unfairly penalize you.
- Can misrepresent performance if your growth strategy involves shifting toward higher-value customers.

Pick the churn metric that best reflects your business model and then stick with it. Churn should always mean churn.

Tip: Churn can have a disproportionate impact on key SaaS metrics, especially at low churn rates. Try calculating LTV with a churn of 2% vs. 4%—the difference is massive. Be cautious when modeling assumptions around single-digit churn.

5. Efficiency Metrics: Choose one.

These calculations all depend on the assumptions you’ve made for other key metrics like CAC, ARR, Gross Margin, and Churn. However, you should not track all efficiency metrics. Instead, focus on one or two that best reflect your business model and growth stage.

Some metrics are easier for teams to understand than others, and certain calculations can overcomplicate decision-making rather than provide clarity. Below is a breakdown of the most commonly used efficiency metrics, their benefits, and their risks.

Efficiency Metrics

Definition

Appropriate for

Benefits

Risk

CAC Payback

CAC ÷ (Gross Margin * ARR ÷ 12)

B2B or B2C companies with mid-price point customers

- Simple, requires fewer judgment calls, making it easier for teams to understand.

- If payback takes too long and churn turns higher than expected, the company may never fully recover CAC.

LTV/CAC

LTV ÷ CAC

Companies with stable churn rates and predictable growth

- Captures long-term customer value and the impact of churn on profitability.

- Highly sensitive to churn assumptions, a small change in churn rate dramatically affects LTV.
- Requires strong confidence in LTV projections.

Burn / Net Revenue

Cash Burn ÷

Monthly Additional Revenue 

All companies

- Provides a full view of company efficiency, tracking how well new revenue offsets spending.

- Can penalize companies with major upfront investments, even if those investments drive future growth.

Rule of 40

YoY Growth % + Profit Margin %

Used primarily for external benchmarking

- Universally understood across SaaS companies, making it easy to compare performance.

- Not ideal for internal decision-making, as it doesn’t provide tactical insights for improving efficiency.

Magic Number

(Net New ARR This Quarter * 4) ÷ Previous Quarter’s Marketing Expense

Used primarily for external benchmarking

- Simple to calculate and widely used by investors.

- Can be volatile if expenses from previous quarters don’t align with current revenue growth.
- Less effective for companies with short sales cycles, as it doesn’t factor in the current quarter’s marketing spend.

There is no perfect efficiency metric, and each has trade-offs. Your primary goal is to pick one or two metrics that aligns with your business model, stage, and decision-making process and then track them consistently over time. For a more in-depth view, check out Bessemer’s metric article.

Tip: Make sure that you are aware of how conservatively or aggressively you have calculated the underlying metrics to contextualize the number.

In Conclusion

The key to financial metrics isn’t just choosing a definition, it’s balancing conservatism and ambition. Define your metrics too conservatively, and you may undervalue your growth potential, making it harder to attract investors. Go too aggressive, and you risk setting expectations you can’t meet, leading to tough conversations down the road.

Stage

Metric Approach

Why?

Seed / Series A

Aggressive definitions (e.g., Future ARR, Paid CAC)

Focus on showing high growth potential.

Growth-Stage / Series B & C

Balanced approach (e.g., Contract-Based ARR, Blended CAC)

Demonstrate scalable, predictable growth.

Late-Stage / Pre-IPO

Conservative definitions (e.g., Fully Loaded CAC, GAAP-aligned COGS)

Ensure financial rigor and investor confidence.

As your company matures, gradually shift toward more conservative definitions, especially if an IPO is on the horizon. Investors value consistency and reliability, so aligning with widely accepted financial reporting standards will set you up for long-term success.

Tip: If you would like to benchmark yourself against metrics - Mostly Metrics has a great report on the current state of SaaS metrics. Just remember, due to the various ways of calculating these metrics there can be a wide variation of what ‘best in class’ actually means.


Introduction
1. ARR. Forward-looking vs. current revenue.
Normal Pricing:
Usage-Based Pricing:
2. CAC. What is the "ongoing cost to acquire a customer?”
3. COGS. If we didn’t do any development…
4. Churn. Stay consistent.
5. Efficiency Metrics: Choose one.
In Conclusion

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