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The metrics every Series A board will ask about

A Series A board will ask about eight numbers, every quarter: ARR and its growth rate, net revenue retention, gross revenue retention, gross margin, CAC payback, burn multiple, runway, and pipeline. The hard part is not knowing the list. It is defining each number once and making sure the deck, the monthly update and the data room all show the same value.

Inès Dupuis
Head of Data11 min read9 sources

After the Series A closes, the board meeting becomes a fixed point in the quarter. The questions are predictable, so a good CFO or founder can prepare for them. Investors rarely go looking for a metric you did not mention. They look for the metric that moved, the definition that changed, or the number that differs between slide 4 and tab 7 of the data room.

This post covers the metrics a Series A board actually asks about, how to define each one so it holds up under diligence, and how to keep them identical across every document you send. It draws on published guidance from investors who have written about these metrics for years, and on the patterns we see when teams build their board packs in Kimo.

01 —

Which metrics does a Series A board ask about?

Lists of SaaS metrics run to thirty or more items, but board conversations keep coming back to a short core set. Jason Lemkin’s list of what Series A investors check starts with ARR growth and then covers net dollar retention, gross retention, CAC payback and burn multiple, in that order5. Christoph Janz of Point Nine puts it as “a combination of growth and efficiency, with growth being number one”7. The table below is the core set we recommend, with the question each metric answers.

MetricThe question it answersCommonly cited reference point
ARR and growth rateIs the business compounding fast enough?Roughly 2–3x year over year at $1–2M ARR7
Net revenue retention (NRR)Do existing customers grow?100% good, 110% better, 120%+ best3
Gross revenue retention (GRR)How much revenue leaks out?90%+ ideal, below 80% signals a churn problem5
Gross marginIs each dollar of revenue worth funding?Median about 72% at $1–10M ARR4
CAC paybackHow fast do we recover acquisition cost?SMB under 12 months, mid-market under 18, enterprise under 244
Burn multipleHow much cash buys a dollar of new ARR?About 2x is reasonable right after a Series A6
RunwayWhen do we need money again?Months of cash at current net burn
PipelineWill next quarter look like this one?A new quarterly record in pipeline created7
Reference points are published investor rules of thumb, not universal targets. Segment, pricing and stage move them.
02 —

How do board expectations change from seed to Series B?

The same metrics carry different weight at different stages. At seed, a board mostly wants proof that customers stay and that someone will pay. By Series A, investors want to see one acquisition channel that clearly works and looks efficient and scalable7. After Series B, the go-to-market motion is supposed to run at scale, and the tolerance for inefficiency drops sharply. David Sacks, who popularized the burn multiple, describes a company whose multiple sits near 3 at seed and falls to about 2 after its Series A, and he treats a rising multiple at later stages as a warning sign even when headline growth looks fine6.

StageWhat the board is testingMetrics in focus
SeedDo customers stay and pay?Logo retention, early cohorts, first ARR
Series AIs there a repeatable, efficient way to grow?ARR growth, NRR and GRR, CAC payback by channel, burn multiple
Series BDoes efficiency hold as spend scales?Burn multiple trend, payback by segment, gross margin, forecast accuracy
03 —

ARR: the number everything else hangs off

Retention, payback and burn multiple all use ARR in the formula, so a loose ARR definition spreads error into every other metric. Andreessen Horowitz’s guidance is still the clearest: ARR should exclude one-time and professional-services fees, and you should not multiply one month of bookings by twelve, because that usually sweeps in non-recurring revenue1. The same piece warns against using bookings and revenue interchangeably. Bookings are a contractual commitment. Revenue is recognized as you deliver the service1.

If you bill through Stripe, note how its own MRR works: it sums the monthly-normalized amount of active subscriptions, so a $1,200 annual plan contributes $100 a month2. That is a sensible default, but you still have to decide how to treat trials, discounts, usage-based fees and contracts signed but not yet live. Write the decision down. Our ARR glossary entry and the SaaS metrics definitions guide list the edge cases worth settling before the first board meeting.

04 —

Why boards want net and gross retention side by side

Net revenue retention tells you whether a cohort of customers is worth more a year later. Gross revenue retention tells you how much of that cohort’s revenue you lost along the way, ignoring expansion. a16z makes the distinction for churn: gross churn estimates the actual loss to the business, while net churn can understate it1. A company with 115% NRR can still be losing a fifth of its revenue base every year and covering the hole with upsell. That is a fragile position, and a good board will ask about it.

Formula

NRR=(Starting ARR + Expansion − Contraction − Churn) ÷ Starting ARR

where
Starting ARR
ARR from customers active at the start of the period (usually 12 months back)
GRR
The same formula without Expansion, capped at 100%

For reference, Bessemer’s 2021 benchmarks put median net retention at 125% for companies between $1M and $10M of ARR4, and its 2023 scorecard grades 100% as good, 110% as better and 120%+ as best3. See net revenue retention and gross revenue retention for worked examples.

05 —

Efficiency: CAC payback and burn multiple

Efficiency became a board staple when capital got more expensive. Bessemer summed up the shift in 2023: growth “should be at optimal costs, not growth-at-all-costs”3. Two metrics carry most of that conversation.

CAC payback is the number of months of gross-margin-adjusted revenue it takes to recover what you spent to win a customer. Bessemer reported an average of 15 months for companies with $1–10M of ARR, with targets that depend on segment: under 12 months for SMB, under 18 for mid-market and under 24 for enterprise4. Present it by channel or segment if you can. A blended number hides the fact that one channel is subsidizing another.

Burn multiple divides net burn by net new ARR over the same period. It is a catch-all: bad pricing, high churn, weak margins and an inefficient sales team all push it up. We wrote a full explainer, Burn multiple, explained, covering calculation and the most common mistakes.

Net new ARR vs. net burn, by quarter
  • Net new ARR ($k)
  • Net burn ($k)
Figure. Illustrative data for a fictional Series A company. Burn multiple falls from 2.4x to 1.4x as net new ARR grows faster than burn.
06 —

Cash, burn and runway

Investors focus on net burn, meaning cash out minus cash in, because it tells them how long the money lasts1. Show it monthly, show cash at the end of the period, and show runway in months at the current burn and at the burn implied by the plan. If those two runway figures differ by more than a quarter, explain why on the slide rather than waiting for the question.

Remember that many investors also hold contractual information rights. Typical venture terms require quarterly financial statements within about 45 days of quarter end and an annual budget before the fiscal year starts, and investors often negotiate a quarterly cap table too8. If your board metrics and your financial statements come from the same definitions, those obligations take hours instead of days. See runway for the formula and the usual traps.

07 —

Leading indicators: pipeline and cohorts

Everything above describes the past. Boards also want evidence about next quarter, and two views provide most of it. The first is pipeline: created, converted and closed-won, ideally setting a new quarterly record7. The second is cohort retention. Janz calls cohort analysis the only way to get a real sense of churn and retention in a subscription business7, and a16z suggests looking for two patterns: retention that flattens after six or twelve months, and newer cohorts that perform better than older ones9. Our cohort analysis entry shows how to read the triangle.

08 —

How do you keep the numbers identical from deck to data room?

This is where most teams get into trouble. The board deck is built in a spreadsheet the week before the meeting. The monthly update is written from a different export. When the next round starts, the data room is assembled by someone else, from yet another pull. Three documents, three slightly different ARR figures, and a diligence call spent reconciling them. a16z’s advice on defining active users applies to every metric: whatever definition you pick, be consistent in applying it9.

From live data to board packFinance, CRM and product data feed one set of governed metric definitions. The deck, the investor update and the data room are all generated from that same layer.QuickBooksAccountingP&L · cashHubSpotCRMpipelineStripeBillingMRR eventsPostgreSQLProduct DBusageGoverned metricsone definition each · reconciled to the booksARRNRRBurn multipleRunwaysnapshot · sign-off · version lockedBoard deckslides · PDF / PPTXInvestor updatemonthly, same numbersData roompermissioned exports
Figure —Finance, CRM and product data feed one set of governed metric definitions. The deck, the investor update and the data room are all generated from that same layer.

Scroll sideways to see the full diagram.

The fix is structural. Define each metric once, in one place, against source data, then generate every artifact from that definition. In Kimo, that place is the semantic layer: measures like arr, nrr and burn_multiple live in a governed data model, and the board deck builder reads from it. Change a definition and every deck, update and data-room export changes with it, with a note in the changelog explaining why.

Before your next board meeting

  • Every metric on the deck has a written definition, an owner and a source system.
  • ARR excludes one-time and services fees, and the treatment of trials, discounts and usage is documented.
  • Net and gross retention appear together, on the same cohort and period.
  • CAC payback is shown by segment or channel, not only blended.
  • Burn multiple uses net burn and net new ARR from the same period.
  • No cumulative charts; monthly or quarterly values only.
  • The deck, the last investor update and the data room show the same figure for the same period.
  • Any definition change since the last meeting is called out on its own slide.
09 —

Add a one-page metrics appendix

The single habit that saves the most time in diligence is a one-page appendix at the end of every board deck: each metric, its definition in one sentence, the source system and the owner. It costs ten minutes to maintain. It answers half of the questions an incoming investor’s analyst will ask, and it forces you to notice when a definition has drifted. Our board deck template ships with that appendix, generated from the model, and the Board Pack Playbook covers the full quarterly process, from close to minutes.

When the next round starts, the data room guide walks through turning the same definitions into the metrics section of your data room. If the numbers have matched for four quarters, there is very little left to reconcile.

Frequently asked questions

What is the most important metric for a Series A board?

ARR growth comes first for most investors, followed closely by retention. Growth with poor retention or a high burn multiple will still draw hard questions, so present them together.

Should I show NRR or GRR to my board?

Both, on the same cohort and period. NRR shows whether customers grow; GRR shows how much revenue you lose before expansion. High NRR with low GRR means upsell is covering churn.

How often should board metrics be updated?

Compute them monthly and present them quarterly. Monthly computation catches definition drift early and makes the monthly investor update nearly free.

What is a good burn multiple after a Series A?

David Sacks describes roughly 2x as reasonable for an early-stage company, improving as it matures. Lower is better; a multiple that rises over several quarters deserves an explanation.

How do I stop the deck and the data room from disagreeing?

Define each metric once against source data and generate both documents from that definition. Add a metrics appendix with definitions, sources and owners to every deck.

Sources

9 references
  1. 16 Startup Metrics (opens in a new tab)
    Andreessen Horowitz (a16z)2015a16z.com

    ARR exclusions, bookings vs. revenue, gross vs. net churn, net burn, cumulative charts.

  2. Calculating Monthly Recurring Revenue (MRR) in Billing (opens in a new tab)
    Stripe Supportsupport.stripe.com

    MRR sums monthly-normalized amounts of active subscriptions.

  3. State of the Cloud 2023 (opens in a new tab)
    Bessemer Venture Partners2023bvp.com

    Good/better/best scorecard for NRR and CAC payback; efficiency over growth-at-all-costs.

  4. Scaling to $100 Million (opens in a new tab)
    Bessemer Venture Partners2021bvp.com

    CAC payback averages and segment targets; net retention and gross margin medians by ARR band.

  5. Dear SaaStr: What Are The Top 10 Metrics Series A Investors Look At? (opens in a new tab)
    SaaStrsaastr.com

    Series A metric priorities; GRR and NDR reference points.

  6. The Burn Multiple (opens in a new tab)
    David Sacks (Craft Ventures)2020sacks.substack.com

    Definition and how the multiple should evolve by stage.

  7. 5 Metrics that Matter Today When Raising Your SaaS Series A and Series B Round with Christoph Janz of Point Nine Capital (opens in a new tab)
    SaaStr2024cloud.substack.com

    Growth expectations by ARR, cohorts, channel efficiency, pipeline records.

  8. Common Provisions in Venture Capital Term Sheets: Information and Observer Rights (opens in a new tab)
    Morrison & Foerster (MoFo ScaleUp)scaleup.mofo.com

    Typical information rights: quarterly statements within 45 days, annual budget, often a quarterly cap table.

  9. 16 More Startup Metrics (opens in a new tab)
    Andreessen Horowitz (a16z)2015a16z.com

    Cohort patterns; applying a metric definition consistently.

External sources were accessed at the time of writing. Kimo product details, customers and figures in examples are illustrative unless a source is cited.

  • #Fundraising
  • #Board meetings
  • #SaaS metrics
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Written by
Inès Dupuis
Head of Data at Kimo · 5 articles

Writes about Fundraising, Board meetings, SaaS metrics, Semantic layer.

Kimo people and customers mentioned are illustrative; example charts use simulated data unless a source is cited.

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