Raise-Ready in 30 Days: The Model, the Story and the 20 Questions Every Wellness Investor Will Ask

Most wellness founders I talk to are three to nine months out from a $1-2M pre-seed or seed round and stuck on the same stuff. There's no model (or a spreadsheet nobody trusts), the deck is telling four stories at once, and nobody has rehearsed the questions an investor is going to ask, so they hear them for the first time in the meeting that matters most.

That's mostly an order-of-operations problem, and you can get it sorted in about 30 days if you start with the right pieces and ignore everything else for a minute.

"the product is working" is not a raise story

Every founder tells me the product is working, and honestly I believe you. Trouble is, "it's working" is an observation and investors don't write checks for observations.

What investors want to know is pretty simple: if I give you this money, what specific thing is true by when, and what's the company worth once it is? "We've proven repeat purchase in DTC at a contribution margin that pays back acquisition within a set number of months, and this round funds our first two regional retail doors plus the inventory behind them" is something they can actually price.

The market has made this sharper too. Unilever acquired Grüns about 32 months after its reported launch, buying an 80% stake in a deal that reportedly valued the company at $1.2B. Great for the category, but please don't use it as a comp, because every investor knows it's an outlier. What they're actually funding looks more like SuperMush's reported $3M Series A, raised to expand its supplement range and retail footprint.

the minimum model

Forget the 40-tab monster. You need six pieces that agree with each other.

A driver-based P&L

Revenue shouldn't be a number you type into a cell, and every line should trace back to a driver you could defend in a sentence. I build it by channel. Take what you're spending in a channel and divide it by your nCAC (new customer acquisition cost, which is new-customer marketing spend divided by new customers) and that's your new customers, multiply that by first-order AOV, then stack returning revenue on top from your cohorts. On retail it's more like doors times velocity times price. Then for each channel show payback, which is nCAC divided by the contribution margin a new customer brings in per month (first order plus repeat, from your cohorts), and that tells you how many months it takes to earn it back. When an investor asks "what happens if nCAC goes up 30%?" you should be able to change one cell and watch the whole model move.

A cash runway forecast

Monthly, at least 18 months out, built on when cash actually moves. In supplements and functional food this is where companies die. You pay for inventory 60-90 days before you sell it and retailers pay you 30-60 days after that, so the P&L can look totally fine while the bank account is getting scary. A single production run can eat a quarter of your cash on its own.

Unit economics by channel

Blended numbers hide everything. DTC, Amazon and retail run on different margins and acquisition costs, so contribution margin per order and payback get broken out for each one. If Amazon is quietly subsidizing DTC (or the reverse) you want to find that before an investor does.

One source of truth tied to booked actuals

This is the one I'll die on. Your actuals should come straight from your books (QuickBooks for most brands I work with) and the model should show a variance-to-books line, the gap between what the model says happened and what the books say, and it should be small and explainable. Never a plug. Anyone who's done diligence has seen a hundred plugs, and the moment an investor finds one they start discounting every other number you show them.

Returning customers from cohorts

"Revenue grows 15% month over month" is the line I delete more than any other. Each month's new customers become a cohort that decays along a curve, where lots of people drop after the first order and the rest settle into a steadier pattern, so build returning revenue by stacking those curves from your own data. If you've only got a few months of history just say so and label it as an assumption. A modest curve holds up in diligence way better than an aggressive flat line.

Accurate product costs, everything else labeled

Landed COGS has to be real, ingredients through freight in and co-man minimums, because that's where diligence starts. Future hires, slotting and trade spend can be estimates as long as you call them estimates.

I build these in QuickBooks plus Python with AI automation doing the boring part like pulling actuals and flagging variances. The tooling is getting good. Iris Finance raised $6.2M in seed funding last year to build an AI CFO for CPG brands. Software still isn't going to pick which assumptions you're willing to defend in a partner meeting though, that part's on you.

tightening the deck story

Most early wellness decks have too many good ideas, like gut health and sleep and energy sold through DTC and Amazon and Whole Foods and a practitioner channel. A tight deck gets down to one problem and one way in, and then it ties the money to milestones in the model.

One problem

Use the one your customer would describe in their own words. "Women 35-50 who can't sleep and don't want melatonin" is going to land way harder than "the $X billion sleep economy."

One entry point

Pick the single channel and product where you're going to prove the model first. The expansion path can go on one slide near the back, because at this stage they're funding a wedge.

Use of funds tied to model milestones

Instead of "40% marketing, 30% inventory, 30% team," write it out as something like: this round gets us from today to milestone A (say a target payback period on a set monthly spend) and milestone B (first retail reorder), with N months of runway left over so we raise the next round from strength. Each milestone should be a row in your model, because if the deck says one thing and the model says another, the investor is going to believe the model.

the 20 questions, and what a good answer looks like

These come up over and over, so have a one to three sentence answer ready for each with the number behind it sitting in the model.

Market and customer

1. Who exactly is your customer? A real person with a real problem, backed by your actual buyer data instead of a persona slide.
2. Why now? Point to something that shifted, like ingredient costs, regulation or a channel opening up. "Wellness is growing" doesn't count.
3. Why will you win against the brand already on the shelf? Give them one concrete edge (formulation, cost, community, channel access) and be honest about where you're weaker.
4. What's the claim, and can you legally make it? Know your structure/function language cold and what you've got to substantiate it.

Unit economics

1. What's your contribution margin per order, by channel? A number for each channel after fulfillment, payment fees and discounts. Gross margin doesn't really answer it.
2. What's your nCAC, and how has it trended? Show paid and blended by month and be ready to explain the big moves.
3. What's the payback period? How many months it takes to earn back nCAC on contribution margin, built off your cohorts.
4. What does repeat behavior look like? Pull up a cohort curve from real data and tell them the sample size, even if it's small.
5. What happens to margin at the next volume tier? Get real co-man quotes at the higher MOQs, because a hoped-for percentage won't survive the follow-up.

Model and financials

1. Walk me through the revenue build. Talk drivers and keep it under two minutes.
2. Does this tie to your books? Ideally you say yes, pull up the variance line right there, and explain why it's small.
3. What are your three most sensitive assumptions? Name them before they do and have the downside case ready to go.
4. What's your runway today and after this round? An actual month based on cash timing, next inventory buy included. "About 18 months" makes people nervous.
5. What's your working capital need as you scale retail? Know your inventory days and receivable days and what kind of cash gap that creates.

Operations

1. What happens if your co-manufacturer fails? You don't need a backup qualified yet, but know who it'd be and roughly how long a switch takes.
2. What are your lead times and minimums? Real numbers, and how they show up in your cash plan.
3. Any supply concentration in a single ingredient? Know which input is your riskiest and what you'd do if it got tight.

Raise and team

1. What does this round get you to? Two or three milestones straight out of the model, with dates on them.
2. Why is this team the one to do it? The specific experience that lines up with your entry point, and skip the résumé tour.
3. What does the next round look like? What metrics you'll have by then and why they make that raise easier.

More than half of these get answered by the model, which is the whole reason to build it before you start taking meetings.

the 30-day plan

Week 1 (days 1-7)

Start with the books. Close them through last month, fix the chart of accounts so COGS, fulfillment and marketing split out by channel, and get real landed cost per SKU before you touch anything else.

Week 2 (days 8-14)

This is model week: the driver-based P&L by channel with nCAC and payback, returning revenue from cohorts, unit economics and the cash runway forecast. Connect the actuals and keep at the variance-to-books line until it's small and explained.

Week 3 (days 15-21)

Now the deck. Once you've got it down to one problem and one entry point, rewrite use of funds as milestones that are actual rows in the model, and whatever slides don't support the wedge can go.

Week 4 (days 22-30)

Get somebody who'll actually push back to run you through all 20 questions out loud and build the downside case while you're at it. Pull together a light data room (model, P&L, cohort data, cap table, key contracts) and then start having conversations.

"we can't afford a CFO yet"

You're right, and at this stage you shouldn't hire one.

You still need the model though. Walking into a raise without one usually costs you something real, like a lower valuation or a longer process, and sometimes a round that doesn't close.

That's why I built the Raise-Readiness Sprint. It's a small prepaid engagement with a fixed scope where we do the 30 days above together, and you walk out with the minimum model tied to your books plus a tighter deck, already prepped on the 20 questions. There's no retainer and no open-ended hours. If you want ongoing help after the raise we can talk about it then.

Before going fractional I was at Heart & Soil, and now I do this from St. George for early-stage CPG and DTC health, wellness and supplement brands. Most of what I do is help founders explain exactly what the money does, with numbers that tie back to the books.

If you're three to nine months out, now's a good time to start. Book a call at joshwhite.co/book-a-call and we'll see if a sprint makes sense.

Example numbers and scenarios in this article are illustrative, not data from any company.

raise-readiness sprint

Raising in the next 3 to 9 months?

The sprint is a small prepaid engagement with a fixed scope. We do the 30 days together and you walk out with the minimum model tied to your books, a tighter deck and answers ready for the 20 questions. There's no retainer and no open-ended hours.

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