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How to budget and fund innovation without burning cash

Hey there,

Today is Episode 4: Budgeting for innovation of a five-week series on budgeting.

When we talk about budgeting, most finance leaders immediately think about the core: the existing engine that drives 80-90% of revenue.

That’s where the historical live, the predictable drivers, the costs you can forecast with a decent degree of accuracy.

But there’s another side of budgeting that’s just as important; and much harder: the bets.

A Man with no imagination is like a bird without wings.

Mohamed Ali

By “bets,” I mean all the initiatives that don’t exist yet in the P&L but that could define the company’s future. Things like:

  • A new product line you’ve never sold before.

  • Expanding into a geography where you don’t yet have brand recognition.

  • Investing in automation that could cut fulfillment costs by 30%.

  • Launching a SaaS module that could double ARPU.

These are not “sure things.”

They’re not plug-and-play forecasts where you drag forward last year’s numbers.

They’re riskier, fuzzier, and full of assumptions.

And yet, they’re essential.

Because if you only budget for the core, you eventually stagnate.

Think about it this way:

  • If you only fuel the engine you already have, you’ll squeeze out incremental gains, but you’ll eventually plateau.

  • If you only chase bets, you risk burning through cash, over-stretching your team, and never reaching breakeven.

  • The CFO’s job is to balance the two. Keep the core alive and fund the right bets without starving the company.

And here’s where budgeting becomes powerful.

A budget for bets isn’t about crystal-ball accuracy.

It’s about structured optimism. You create a disciplined framework to decide:

  • Which bets deserve funding?

  • How much do we allocate?

  • What milestones need to be hit before we release the next tranche of resources?

  • When do we kill a bet that isn’t working?

That’s the art of budgeting for tomorrow.

In this episode, we’ll go deep into how to:

  1. Define your bets clearly so they’re measurable.

  2. Break them into stages with milestones.

  3. Build assumptions using a mix of market data, historical analogues, and judgment.

  4. Translate those assumptions into numbers that flow into your P&L and cash flow.

  5. Model upside and downside cases.

  6. Decide on the right portfolio mix of core vs bets.

If budgeting the core is about discipline and realism, budgeting the bets is about balancing courage with constraints.

You need enough courage to place real bets, and enough constraints to keep the company alive if those bets miss.

That’s what we’re going to unpack.

🛠 THE CFO EFFECT PLAYBOOK (Part III)

Section 1: The Different Types of Bets

When I talk about “bets,” I don’t mean throwing darts at a board.

These are calculated risks; things the company decides to invest in today because they could unlock tomorrow’s growth.

Now, bets come in different flavors. And understanding the type of bet you’re dealing with matters, because the way you model it, fund it, and monitor it will be different.

Let’s walk through the main categories.

1. New Product Bets

This is the most obvious kind: building or launching something new.

  • For an e-commerce brand, it could be a new line of products, say: adding a subscription box to complement your existing store.

  • For a SaaS company, it could be launching a new module: maybe a reporting dashboard or AI assistant that increases ARPU.

Why it’s tricky:

  • You don’t have historicals.

  • You’re basing assumptions on market research, customer surveys, or analogies from competitors.

  • Adoption curves are uncertain.

How to think about it:

  • Start small. Model assumptions on customer penetration, pricing, CAC, churn.

  • Tie funding to milestones (prototype → pilot → rollout).

  • Don’t expect breakeven day one, but set a clear timeline for when this should start paying back.

2. New Market Bets

These are bets on geography or segments rather than new products.

  • A North American SaaS startup expanding into Europe.

  • A DTC brand entering wholesale for the first time.

Why it’s tricky:

  • You often underestimate localization needs (language, compliance, payment systems).

  • Customer acquisition costs are different in new markets.

  • You can’t assume success in Market A = success in Market B.

How to think about it:

  • Model CAC separately for new markets. Don’t reuse old CAC.

  • Assume slower ramp. Penetration curves are shallower than founders like to believe.

  • Budget for upfront setup costs (entity, compliance, logistics).

3. Technology & Automation Bets

These are bets that don’t always drive revenue directly but improve scalability.

  • Implementing an ERP.

  • Building automation into fulfillment.

  • Investing in data pipelines or AI to streamline operations.

Why it’s tricky:

  • Benefits are indirect (savings, speed, fewer errors).

  • Costs are upfront and visible; benefits are spread out and harder to measure.

  • Execution risk is high (ERP graveyard, anyone?).

How to think about it:

  • Build assumptions around efficiency gains (hours saved, error reduction, throughput).

  • Translate those into dollars (reduced headcount, avoided costs, higher capacity).

  • Stage investments (don’t try to boil the ocean in one year).

 4. Business Model Bets

Sometimes, the bet isn’t about what you sell but how you sell it.

  • A SaaS company shifting from perpetual licenses to subscription.

  • An e-Com brand adding subscriptions to smooth revenue volatility.

  • A service company moving from hourly billing to retainer packages.

Why it’s tricky:

  • Transition periods hurt. You might cannibalize existing revenue before the new model stabilizes.

  • Cash flow timing changes (upfront vs recurring).

  • Cultural/operational shifts are big.

How to think about it:

  • Model old vs new side by side.

  • Plan for a dip in Year 1 and don’t kid yourself with hockey-stick curves.

  • Be explicit about CAC payback and churn in the new model.

 5. Strategic / M&A Bets

Finally, sometimes the fastest way to bet on tomorrow is buying it.

  • Acquiring a small competitor to gain market share.

  • Buying a tech startup for its product or team.

  • Rolling up smaller players to gain scale.

Why it’s tricky:

  • Integration risk.

  • Synergies are overestimated 90% of the time.

  • Cash outlays are chunky. You can’t “test small.”

How to think about it:

  • Build scenarios: Base case (synergies realized 50%), Downside (none realized).

  • Use IRR/MOIC like a PE firm would.

  • Apply ICE (Impact, Confidence, Ease) to integration as much as the deal itself.

Here’s your takeaway for this step:

When we talk about “budgeting bets,” we’re not talking about one thing. We’re talking about a spectrum of bets:

  • New products

  • New markets

  • Tech & automation

  • Business model shifts

  • M&A

Each comes with different risks, different ways of modeling, and different cash flow profiles.

As a CFO, your role isn’t to avoid bets. It’s to make sure the company funds the right ones, with the right guardrails, at the right pace.

Section 2: The Playbook for Budgeting Bets

So, you’ve identified your bets.

Maybe a new product line, a market expansion, or a tech investment.

The question is: how do you actually put numbers behind them?

This is where a lot of finance leaders freeze.

No history, lots of uncertainty, and plenty of pressure from the CEO to “be bold.”

Here’s the playbook I’ve used for turning bets from ideas into budgetable numbers.

 Step 1: Define the Bet in Plain Language

Start by stripping away the buzzwords and writing the bet down clearly:

  • What are we trying to do?

  • Who is it for?

  • Why does it matter to the strategy?

  • What does success look like in 1 year, 3 years?

Example:
Bad: “Expand to Europe.”
Better: “Open UK storefront on Shopify, targeting £2M in revenue within 24 months, driven by 15,000 new customers at £130 ARPU.”

If you can’t define it like this, you can’t model it.

 Step 2: Stage-Gate the Investment

The worst mistake you can make is funding the entire bet on day one.

Instead, break it into stages, each tied to milestones.

  • Stage 1: Build MVP (budget $200K).

  • Stage 2: Pilot launch, first 1,000 customers (budget $500K if Stage 1 hits).

  • Stage 3: Scale, expand sales team, expand geography (budget $1M).

This way, the company only commits more capital if traction is proven.

Think of it like VC funding, but inside your own business.

Step 3: Build Assumptions (Keep Them Driver-Based)

Bets are full of uncertainty, but you still need to anchor on drivers, not guesses.

Ask:

  • What’s the total market we’re going after (TAM)?

  • What penetration rate is realistic in Year 1, Year 2, Year 3?

  • What’s the expected average revenue per customer (ARPU or AOV)?

  • What’s the cost to acquire each customer (CAC)?

  • What churn or retention do we expect?

  • What’s the cost to serve?

Mini-example (subscription box):

  • TAM = $200M.

  • Year 1 penetration = 0.25% → 500 customers.

  • ARPU = $250/year.

  • CAC = $100/customer.

  • Churn = 20%.

  • Gross margin = 60%.

From that, you already have the skeleton:

  • Revenue = 500 × $250 = $125K.

  • CAC spend = 500 × $100 = $50K.

  • Gross profit = $125K × 60% = $75K.

  • Net = $25K after acquisition.

Not exact, but structured. And that’s what matters.

Step 4: Translate Assumptions Into Numbers

Once you’ve built drivers, plug them into a simple P&L-style view:

Year 1 (subscription bet):

  • Revenue: $125K

  • COGS: $50K (40%)

  • Gross profit: $75K

  • CAC: $50K

  • Opex: $30K (marketing, ops support)

  • EBITDA: -$5K

At first glance, you might say “this isn’t worth it.” But remember, bets often lose money early while building scale.

So, project Years 2-3 with realistic growth:

  • Year 2: 1,500 customers → $375K revenue → breakeven.

  • Year 3: 4,000 customers → $1M revenue → profitable.

Now you can see the trajectory.

Step 5: Run Scenarios (Base, Upside, Downside)

Because bets are risky, you must show the range of possible outcomes.

  • Base case: 500 customers Year 1, 1,500 Year 2, 4,000 Year 3.

  • Upside: 750, 2,000, 5,000.

  • Downside: 250, 800, 2,000.

This creates guardrails: leadership knows what “winning” and “missing” look like.

The goal isn’t precision. The goal is transparency.

Step 6: Decide the Portfolio Mix

How much of your total budget should go to bets? This depends on:

  • Stage of company (startup vs mature).

  • Industry (innovation-heavy vs stable).

  • Cash availability and risk appetite.

Typical ranges:

  • Mature company: 90% core / 10% bets.

  • Growth stage: 70% core / 30% bets.

  • Innovation-driven: 60% core / 40% bets.

The key is balance.

Enough fuel for the core to survive, enough oxygen for bets to grow.

Step 7: Communicate Like a Venture Pitch

Finally, don’t present bet budgets as “line items.” Present them as stories tied to milestones.

  • Here’s the opportunity.

  • Here’s our plan to test it.

  • Here are the drivers and assumptions.

  • Here’s how much capital we need at each stage.

  • Here’s what success looks like (and what failure looks like).

It should feel less like a spreadsheet dump, and more like a venture pitch inside your company.

 Takeaway from the Playbook

Budgeting the core is about precision.
Budgeting the bets is about structured optimism.

You don’t need perfect numbers.

You need clarity of assumptions, discipline in funding, and courage to place the right bets.

Section 3: Case Studies & Worked Examples 

Now that we’ve laid out the playbook, let’s make it real.

I always find that frameworks are nice, but what people really want is: “Okay, show me how this looks in practice.”

So here are three worked examples: one for e-Com, one for SaaS, and one for a tech/automation investment.

Example 1: E-Commerce Subscription Bet

Let’s say you run a $30M DTC e-Com brand selling premium home products.

Your CEO wants to launch a monthly subscription box for repeatable revenue.

Step 1: Define the bet clearly

  • Launch subscription box product in 2025.

  • Goal: Reach $2M subscription revenue by Year 3.

  • Strategic rationale: Smooth cash flow, increase retention, build lifetime value.

Step 2: Stage-gate the investment

  • Stage 1 (Year 1): Pilot box → $200K budget (develop SKUs, test with 500 customers).

  • Stage 2 (Year 2): Expand to 2,000 customers if pilot NPS > 40.

  • Stage 3 (Year 3): Scale to 6,000 customers, marketing push.

Step 3: Build assumptions

  • TAM: $100M (estimated from category spend).

  • Target penetration Year 1: 0.5% of TAM.

  • ARPU: $300/year.

  • CAC: $120/customer.

  • Churn: 25% annual.

  • Gross margin: 55%.

Step 4: Translate assumptions into numbers

  • Year 1: 500 customers × $300 = $150K revenue.

  • CAC spend = 500 × $120 = $60K.

  • Gross profit = $82.5K.

  • Net = basically breakeven.

    Year 2: 2,000 customers × $300 = $600K revenue.

  • CAC = $240K.

  • Gross profit = $330K.

  • Net = $90K positive.

    Year 3: 6,000 customers × $300 = $1.8M revenue.

  • CAC = $720K.

  • Gross profit = $990K.

  • Net = $270K positive.

Takeaway: It’s small in Year 1, but if churn stabilizes and CAC holds, this becomes a healthy recurring line by Year 3.

 

Example 2: SaaS Add-On Module

Now imagine you’re a $20M ARR SaaS company.

Leadership wants to launch a data analytics module that will be sold as an add-on to existing customers.

Step 1: Define the bet clearly

  • Launch analytics add-on Q2 2025.

  • Goal: $5M ARR in 3 years.

  • Strategic rationale: Upsell existing base, defend against competitors, expand ARPU.

Step 2: Stage-gate the investment

  • Stage 1: Build MVP with $1M dev spend.

  • Stage 2: Beta with 50 customers by Q4.

  • Stage 3: Full rollout if beta churn < 15%.

Step 3: Build assumptions

  • Install base: 2,000 customers.

  • Adoption curve: 5% Y1, 15% Y2, 30% Y3.

  • Price: $2K/year/customer.

  • Gross margin: 80%.

  • CAC: Minimal (upsell via CS/sales).

Step 4: Translate assumptions into numbers

  • Year 1: 2,000 × 5% × $2K = $200K ARR.

  • Gross profit = $160K.

  • Minus $1M dev spend → -$840K net.

    Year 2: 2,000 × 15% × $2K = $600K ARR.

  • Gross profit = $480K.

  • Minus incremental dev/CS = $300K → $180K positive.

    Year 3: 2,000 × 30% × $2K = $1.2M ARR.

  • Gross profit = $960K.

  • Minus $400K opex = $560K positive.

Takeaway: It bleeds in Year 1 (R&D cost), but by Year 3 it’s a profitable add-on with stickiness benefits. Would this be a god project to launch? Maybe not. We will talk about this in the next few weeks.

 

Example 3: Automation Investment

Let’s say you’re a mid-size manufacturer.

The ops team wants to invest in robotics for assembly.

Step 1: Define the bet clearly

  • Implement robotics line in Plant A.

  • Goal: Reduce labor cost by $1.5M/year, breakeven in <4 years.

  • Strategic rationale: Reduce reliance on labor, scale throughput.

Step 2: Stage-gate the investment

  • Stage 1: Feasibility study ($250K).

  • Stage 2: Pilot cell ($1M).

  • Stage 3: Full line ($5M).

Step 3: Build assumptions

  • CapEx = $6.25M total.

  • Useful life = 10 years.

  • Labor savings = $1.5M/year.

  • Maintenance cost = $250K/year.

  • Financing = 5-year loan, 6%.

Step 4: Translate assumptions into numbers

  • Year 1 outlay = $1.25M (study + pilot).

  • Year 2–3 = $5M rollout.

  • Labor savings start Year 3.

Cash flow:

  • Year 1–2 = heavy negative.

  • Year 3–10 = $1.5M − $250K = $1.25M annual net savings.

  • Payback = ~5 years.

  • IRR = ~14%.

Takeaway: High upfront pain, but long-term efficiency and positive IRR.

Betting is not gambling. It’s structured risk-taking.

The trick is to be optimistic enough to try, disciplined enough to cut.

Great CFOs don’t just greenlight bets, they set kill criteria upfront.

 Takeaway for You

As you enter budgeting season:

  1. Define your bets with clarity (no vague goals).

  2. Build driver-based assumptions (TAM, penetration, CAC, ARPU).

  3. Stage-gate funding with milestones.

  4. Run scenarios to show the range.

  5. Allocate % based on risk appetite, not hope.

  6. Communicate bets like venture pitches.

If you do that, you’ll budget for tomorrow without starving today.

P.S.: If you can leave a quick review below, it would mean the world to me, plus that will help us improve. ⬇️

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Next Week’s Episode:

🔜 Budgeting as Alignment & Storytelling

The best finance leaders don’t just build budgets.
They build belief.

Because at its core, a budget is about alignment and storytelling.

If the sales team thinks the target is impossible, they’ll ignore it.
If marketing doesn’t see how they drive revenue, they’ll fight for more spend.
If ops doesn’t know what’s coming, they’ll get blindsided.
If the board doesn’t see the story, they’ll think you’re either too conservative or too reckless.

Next Sunday, I’ll show you how to turn your budget into a story everyone buys into.

A story that unites your entire company around a shared roadmap.

How to turn your budget into a narrative your team understands and supports
How to align every department around a single source of truth
How to present numbers that inspire confidence from your team, board, and investors

Because great CFOs build alignment.

They don’t just predict performance; they shape it through clarity, communication, and storytelling.

If you’re ready to transform your budget from a spreadsheet into a story that moves people and drives execution, you can’t miss this episode.

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Disclaimer:
This content is for informational and educational purposes only and should not be construed as financial, legal, or professional advice. Always consult with a qualified advisor before making any business or financial decisions. The author and publisher disclaim any liability for actions taken based on this content.

Talk soon,