Beer Planning - Coming Soon!

Hi there,

You may have heard that I’m moving my beer planning toolset from a rag-tag (if totally functional) collection of Python and Google Sheets to a clean, user-friendly website in the coming months (as of this writing), and if you’d like to join the waiting list in order to have first dibs on the Alpha and Beta launches, you can toss an email into the form right here, and I’ll let you know when there are ready!

In the meantime, the somewhat informal posts on this blog should be fun reads, and I’m reachable at adrian@bits2bbls.com if you have any questions.

Cheers!

Adrian

A 2nd Location - Fool's Gold, or the Real Article?

Hello again!

Forgive the two week interval - there’s no great excuse, though brewing and classwork have had me quite distracted, and my initial belief that this may lead to more business opportunities has eroded entirely, so I’m still thinking about how to move forward with this! Opportunity Cost, my friends, opportunity cost…

In any case, there was, to my point actually, a lone response to my “what should I write about?” poll - the economics of a 2nd location, which I strongly suspect to be a troll from my family. But hey, it’s a good topic! So this week, I’ll set it up, and next week we’ll get our hands dirty and work out some numbers

But first, the why:

Pros of a second location

  • The margin is higher than in distro, possibly way higher. A relatively small, $50k/mo bar stands to make more than, say, a quarter-of-a-million per month distro operation (here using, roughly, 10% and 50% as margins)

  • There’s no or little duplication of pesky location one fixed costs, like brewers and administrative costs. It’s a slimmer business - basically a bar, minus administration and with cheaper beer, plus the cache of the brand

  • A 2nd location allows you to test the general market performance of both your brand and beers; with distro, without a reference point (i.e. a control in drug trial terms), and without access to distributor's data, it may be unclear how you'd fare away from home (and good luck getting a distribution firm’s data!)

Cons of a second location

  • Risk! Distro can be packed up quickly and at low cost; a second location could take months or longer to disassemble, and chances are you took out a loan or something like that to raise the capital which, if you have to throw in the towel, you presumably never recouped. I worked briefly for a great LA chain (two locations, and not MacLeod!), that attempted to break into Denver or some such place, and were set back a few years as a result of the failed attempt. Ouch!

  • If you don't have your home in order, the added complexity means the small interpersonal issues you usually band aid over may become unfixable breaches

  • Similarly, if this is a Hail Mary for cash, chances are you'd be better off cleaning up your core business as opposed to praying that a new one will solve your problems

in short, I see a sea of negatives unless you are so successful, and run such a beautifully tight ship, that you're just trying to add fudge to the sundae and not trying to add expensive, untested bilge pumps to your leaky ship

The Numbers, Broadly

The setup for the sheet we’ll see next week is fairly straightforward: copy and paste your costs, and see what a range of revenues do to your bottom line

Chiefly:

  • Beer cost, and for that, estimated beer consumption

    • this will be related to revenue expectations

    • we’ll use the average per-BBL cost, which we may adjust down

  • Rent (location dependent)

  • Labor

    • we’ll normalize this probably to the ratio of square footage from location A to B

  • General COGS and expenses from your first location

    • subscriptions are null, but things like cleaning supplies and even merch are fair game

We'll get into this next time, but you may want to adjust those based on

  • Size - if your 2nd location is 40% as big, your costs, labor, and max revenue will be smaller

  • Ramp-up time - your costs and revenue will slowly ramp up as you obviously sell more, and thus need to hire more bartenders and potentially servers

  • Some sort of inefficiency factor - if you shrink your business to half its size, what are the odds your costs are cut exactly in half? 0% - you’ll pick up some inefficiency, which I honestly of this writing have no idea how to quantify!

    • We may use this, we may not - I kind of did in my original spreadsheet, and if I keep that in I’ll at least address it

So there you go! I’ve learned from a similar voice in the industry to leave your readers more often than not with semi-useless fluff/filler content, so while this is interesting, it sure isn’t directly helpful or useful beyond my opinion! Alas, I had an Econ quiz today, so you’ll have to wait til next week for the juicy stuff!

Cheers,

Adrian

Beer Pricing and Sizing: Visualization and a Qualitative Discussion

Hello again, dearest reader!

Last time, we worked up a formula for the “negative boost” required for breakeven if you decide to change your prices. Here’s what that actually looks like with a range of base prices and price changes:

Screen Shot 2020-04-18 at 4.04.28 PM.png

So hopefully not much explanation is needed, but:

  • margin is obviously the taproom margin - the fact that this changes is actually incorporated into the model! Which is cool

  • base price: your original prices

  • the percentages: mathematically, -L, or the drop you can weather (or boost you need) in order to break even after changing your price

  • qualitatively, a bigger base price leads to smaller relative Ls, since the change itself is smaller

  • also, obviously, you have to sell more pints if you lower your prices and vice versa

  • and yeah, discounts! If you lower your pint price by $2, especially if it’s already “low” by LA standards (see, oh, I think two posts ago), you’re gonna have to absolutely crush it to break even

So, what should I actually do? A qualitative discussion

Fair question! And I think if you accept the premise that you should change your prices (and that’s for you to say, unless you want to be an absolute gangster and change them for like 3 months in order to gather data - in doing so, you may actually come up with ideal pricing for all beers, but I have no interest in writing up even pseudocode to describe that process), the question is, how do you mitigate volume loss if raising the price, or ensure volume increase if decreasing the price?

Here are my thoughts:

  • If you’re under or over the market prices for a certain style, maybe try more closely matching those prices, and after a few months see if you broke even by running, say, a simple t-test (though do it in Python or some other language (R, say) if you can, so you only have to “build the machinery” once

  • Generally, high ABV, barrel aged, and sour beers are served in small glasses for high prices - take advantage of this, and do the same. If you’re charging your base price +$1 for these, or serving them in larger glasses, reconsider your approach

    • I forget exactly where, but I’ve made the point that the big game is volume - if you sell a tough-to-drink beer in a Big Gulp, good luck selling another!

    • Quite simply, I’d rather sell two 10 oz $8 beers than one $12 10 oz or 16 oz pour. Which is to say, I suspect you’re better off shrinking the glass than changing the price too much

  • As our previous Hazy IPA example showed, even if a beer is kind of pricey, don’t go too crazy on price, and definitely offer 12 oz to 16 oz pours of anything that doesn’t fit the set of beers in the last bullet. Volume is king. BUT, IPAs are generally, I dunno, about $1-$2 more than other beers, so consider bumping your IPA prices if they’re the same as everything else. Going from $7 to $8, you can weather a 19% drop - what are the odds of that steep a drop for a popular beer? Slim

  • As another interesting example, as your base price increases, single-dollar changes up and down require smaller and smaller volume changes - if you’re charging $21 for something, it’s quite likely that $19.99 will make you a good deal more money. Same for anything that’s like $24/$26, $29/$31 etc - move it up or down a dollar, slap a 99¢ at the end, and let me know if that doesn’t make you more money

  • Finally, we have a beer that’s $7, vs $8 for virtually everything else, and without running the numbers (I can, but I mean…) I’m fairly confident that the fact that it’s our standout “cheap” beer bumps its sales the requisite ~26% (though that’s actually a good question… again, a simple T-Test, though I’d probably want to normalize Van Ice sales to taproom revenue to remove seasonality… if I do that, I’ll say so)

And that’s about it! If you have questions, feel free to email me at numbers@macleodale.com (I should probably fork over for an @adrianfebre.com address…some day)

And feel free to fill out this poll if you’d like to see something specific as I pivot back into general, loose posts for a while

Cheers,

Adrian

Beer Pricing and Sizing: More Discounts and a Brief Pricing Primer

Hello again! This week we’re talking about discounts again (I had another thought on the topic), and finally, the basics of beer pricing, i.e. what constitutes a “correct” price in a simplistic sense

Discounts redux: partial discounts

So here’s another weird scenario. What happens if you sell Crowlers, but want to introduce a similar product, Growlers, at what amounts to a slight discount - if you originally sold 100% Crowlers, and by selling Growlers you get an x% boost above your base revenue, what % of Crowler sales can you “lose?” i.e. what is the break-even % of revenue that Crowlers comprise? (If you end up selling 100% Growlers at a discount, with no boost, you’ve lost money; if you sell 99% as many Crowlers but see a doubling of revenue, you’ve very likely made money; how do we attach an equation to this?)

First, let’s name the variables:

  • C = Crowler revenue

  • G = Growler revenue

  • b = % boost above 100% (base sales) - always taken as positive (otherwise we lose money)

  • d = % discount divided by margin

Why divide the discount % by margin? Stay tuned

Let’s begin with a pretty standard percentage equation: on the left hand side (LHS), we’ll put the new x% of Crowler revenue, the 100%+b%-x% of Growler revenue, and on the RHS we’ll put the original 100% Crowler revenue (why is b only applied to the Growlers? We’re assuming that selling them boosts overall revenue, and that we’re essentially cutting out a portion of Crowler revenue to give to the Growler revenue, on top of the boost - it’s the acceptable degree of this cannibalization that we’re trying to determine).

So:

  • x*C + (1+b-x)*G = 1*C = C

Immediately it behooves us to get G in terms of C. In our case, and this is particular to our business, our Crowlers are $14 (two are the same volume as a Growler, at $28), our Growlers are $22, and the jug is apparently $3.50, so our “real” revenue for Growlers is $18.50. Thus, our Growlers are effectively a ~34% discount on Crowlers. BUT, since we want to get the same profit and not just the same revenue, we must “normalize” this to our margin - if our margin is 60%, and we have a 60% discount, we make $0; further, if Growler profit (g) is g*m, Growler profit is also Crowler profit (c) minus the amount lost as a discount, or c*(m-d) = c*m - c*m*d/m. In other words, we can just use revenue and ignore margin in that equation above if we use a normalized discount instead of just the discount. So d mentioned above in the variables is actually 34%/60% ~ 57%. But I digress!

  • x*C + (1 + b - x)*G = x*C + (1 + b - x)*(1 - d)*C = C

  • Interestingly, C cancels out (good - this should be super general), and we get:

  • x + (1 + b - x)*(1 - d) = 1

  • x + (1 - d) + b*(1 - d) - x*(1 - d) = 1

  • x - x*(1 - d) = 1 - (1 - d) - b*(1 - d) = d - b*(1 - d)

  • x = (d - b*(1 - d))/(1 - (1 - d)) = (d - b*(1 - d))/d = 1 - b*(1 - d)/d = 1 - b/d + b

Cool! So this is the breakeven condition for x, the pct of Crowler sales you can afford to have vs your base revenue (100%). BUT, this is hardly the most useful form - we want to be able to just look up Crowler sales as a percentage of the total, not have to figure out what the “boost percentage” was - so we really want x/(1+b)

i.e.:

  • x/(1+b) = (1 - b/d + b)/(1+b) = 1 - (b/d)/(1+b)

Yikes! Kinda hairy, but very easy to crank out with a calculator. And does it make sense? (The physicist in me will always ask if it’s Gauge invariant)

  • if b is small relative to d, x is close to 100% - if your boost is small relative to your discount, you can’t afford to sell too many discounted items

  • as b->infinity, x/(1+b) -> 1-1/d = (d-1)/d, which I' don’t really get off of the bat - though since d ranges from 0%-100% (in this case, discount being equal to margin), the range is basically negative infinity to 0%…I think that’s because we’re trying to make the same profit with an infinite boost in revenue, so we have to “buy” a ton of Crowlers to make that work. Interesting. Not too useful though! Let’s not take b to infinity

In fact, here’s a spreadsheet!

Screen Shot 2020-04-12 at 12.08.25 AM.png

So yeah! Pretty cool! I guess as we discussed above, a negative norm’d x means we make money no matter what (and I’m sure you could verify that using our previous discount/boost work)

Pricing: a brief primer

So, this is comically simple now - while the real fun stuff will have to wait until my econ class covers elasticity, we can make a quite simple claim:

if we charge $a for a pint, and our margin is m%, our profit per pint is a*m. If we want to consider charging $b for the pint, how many more/fewer pints could we sell before breaking even?

Assuming b>a, our profit on b is very interestingly not m*b - since our costs are identical, our new profit is b - a*(1-m), or b minus our original costs. Thus, to make the same amount of profit overall, we set

  • a*m*100% = (b - a*(1-m))*(100% - L), where L is basically a “negative boost percentage” (we take L as positive, though - think that’s tough? Thermodynamics will rip you to shreds)

  • so, solving for L,

  • a*m = b - a*(1-m) - L*(b - a*(1-m))

  • a*m - b + a - a*m = a - b = -L*(b - a + a*m)

  • L = (b - a)/(b - a + a*m)

So in the straightforward case where b - a = $1, L = 1/(1+a*m)

If margin is, again, 60%, and if a is $7, then L = 1/(1+7*.6) = 19%

So we can afford to lose 19% of our number of pints sold (right? Not pint revenue, right? I mean…our margin is now higher since our costs are a lower percentage…)

Similarly, if we charge a dollar less, or $6, we need a 19% boost in the number of pints sold, so the math doesn’t actually care about the direction of change, I just wanted you to see it in a straightforward way before generalizing it

And yeah, that’s a bunch of symbols - I’ll think of a visualization for the next post

See ya there!!

Beer Pricing and Sizing: Sizing up the Competition

Welcome back!

Last week, we worked through another example using some of our discount equations, namely this big Kahuna:

Upsell % = margin/( (100% - discount %) - (100% - margin) )

… = margin/(margin - discount) = 1/(1-d/m)

Oof! It’s way simpler than I thought. Well, your reward for reading this week’s post too!

with 100% being not another 100%, but exactly what you’re selling now. Some interesting things about that equation, before we move on (I love its simplicity and can’t resist further analysis):

  • if your discount approaches your margin, the upsell % approaches infinity

  • The bigger your margin, the smaller your upsell % for a given discount, and vise versa

    • So if you have two departments, one with a ~60% margin and one with a ~33% margin (a bar and a kitchen, say), keep in mind that a discount that works for one dept may not work for the other - though if your kitchen comprises like 20% of your revenue, you can always use a weighted average (in that case, .8*.6 + .2*.33 = 55%)

  • Here’s what that looks like for a 60% margin business:

The last column is what you have to sell above your usual volume, so just the column to the left minus 100%

The last column is what you have to sell above your usual volume, so just the column to the left minus 100%

(Also, sorry that the picture is so huge and that my equations aren’t formatted - I’ll break into Tex some day!)

So, how about those other businesses?

Oh yeah! I almost forgot. So as I was saying, we now have the tools to gauge whether or not a new pricing scheme is making more or less money than before (and we’ll go over that in more detail next week - I’ve deliberately been dodging the core idea, namely using this to price things), but first we should probably know what others are charging.

So, here’s a link to a price analysis I did a few months back (so it looks a touch rough!). There are two basic sections: the big chunk of yellow data (all editable blocks are yellow in my sheets), which contains all of the raw data from the breweries/beer bars I visited, and the succint “Competitors” section at the bottom, reprinted here:

Screen Shot 2020-04-02 at 11.38.12 PM.png

Again, sorry for the size!

The core questions at the time were: 1) can we get away with charging $8 for beer? And; 2) How much money is everyone else making per oz of beer? (Today I might have standardized profit to a 16 oz pint or something; heck, maybe even C/Es)

So for the 7/8 ratio, I manually counted the number of beers <=$7 and >=$8, and divided. For the price per oz, I averaged the price/volume ratios for each beer. Kinda painstaking! But relatively quick, and the consequences are in the 5 figures potentially, per year.

So yeah, how do bars make money?

  • they offer a range of prices, giving a sense of choice - maybe the cheaper things are light lagers, and the more expensive things are sour or hoppy nightmares. The prices of the kegs are passed on to the consumer

  • they serve pricey things, really anything above lagers and pale ales, in smaller-than-pint-size glasses, anything from 12 oz IPA glasses to 5 oz sour pours, to maximize their price/oz ratio, and honestly probably to increase the number of pints sold (try selling sours in 20 oz goblets and see how many people buy two!)

So yeah, maybe do those things! And hey, you now have a benchmark for the LA beer scene - try not to sell beer for less than 60¢ per oz on average, and have a menu comprised of ~2:1 pricey vs … less pricey beers

Computing the latter is trivially easy, and for the former, just divide the price you charge for each beer by its volume, and average the results. Ignore the space foam takes up - if the glass holds “16 oz”, use that, simply because I did when coming up with these figures

Thanks for reading, and see ya next week for beer pricing proper!

Cheers,

Adrian

COVID-19 Brewery Strategy

Hello all,

With this COVID-19 Brewery/Bar shutdown, obviously every brewery in the country (the world?) is about to feel some serious hurt, us included. So here are some thoughts and ideas on quantifying that pain, cutting costs, seeking aid, and maximizing life-giving revenue in the meantime

Calculating Likely Debt

It’s important to know just how screwed you’re about to be, and perhaps the #1 such concern is the bills you’ll “have” to pay in the coming weeks. In order to do that for us, since I’d just worked out our 2020 Budget, I did the following (which you can do if you have a budget)

  • take the total expenses for March (discounts, COGS, and expenses)

  • subtract out (something like) half labor (taproom or all, depending), half taproom COGS, and half discounts

  • then, run a P&L for March and add up the expenses already on the books

  • the difference is roughly what you should expect to “have” to pay - for us, ~$75,000

Alternatively, without a budget you can do the same thing but average costs for Dec, Jan, and Feb to get a rough average total expense for March

Using this, you can start to play with the effect of cutting this-and-that, which leads me to

Things to consider cutting

What can go? Certainly not rent and utilities, but perhaps:

  • extraneous subscriptions

  • consultants (like me!), or perhaps niceties like assistants and book keepers, if you are willing to do all of that work for months after this ends, and you should really try to avoid cutting these

  • unprofitable departments, like a kitchen that’s never turned a profit (all that money you spent? It’s what they call in the biz a fixed cost), or maybe even distribution if they don’t draw significant money, but you may be hurting advertising by doing this

Things not to cut

  • advertising

    • you’ll desperately need the income they generate after you re-open (which you will!)

  • labor, to the bone

    • you’ll need a staff when you re-open, so taking a slight loss in order to keep your staff busy might be worth it; losing, I don't know, $100 per day net, but keeping two people working in that kitchen, may very well be worth it for morale

  • bills to the government, or with massive late fees, or that are important (like utilities)

    • you may have to pay some stuff late; figure out exactly what those are (or vice versa, as the “crucials” is probably a shorter list) now

Resources for you and your staff

Loans may be crucial for survival; as of writing this, there aren’t any specific to LA, but keep an eye on the CCBA’s update site, and there’s always the SBA loans (see the link)

And as for your staff, there are two moves: either the standard CA unemployment or, something I haven’t looked into too deeply, this US Bartender’s Guild thing

My door’s open

I hope all of this has helped, and because of the dire nature of this crisis, feel free to book an hour to talk with me completely for free

Beer Pricing and Sizing, Intro

After the last set of posts, which became pretty darned technical, I thought we’d do something that’s both a touch simpler mathematically and perhaps wildly more practical: beer pricing and sizing, largely as pertains to sale “on-premise,” in taprooms (or bars, as it’s perhaps healthier to think of them as such)

And as such, this’ll be something of a primer on making money on beer in a tasting room, all other things being equal (which is to say, ignoring everything but pricing and sizing, which is after all the chief objective control)

So first, let’s review the obvious: Profit = Revenue*Margin

  • Assuming we make small fixes, the margin change shouldn't be too pronounced (obviously if sell double the number of pints in an hour with the same labor, our margin goes up, but here we'll consider selling a few percent more)

  • Thus, the big lever is revenue, which in this case is beers sold times price per beer

While we could now get lost in a separate set of weeds, namely revenue-per-oz and what competitors are charging (and may well!), we'll start by considering just ourselves, and maxing out those two numbers: beers sold, and dollars per beer

So, while the issue of pricing turns out to be a deep rabbit hole going back to another Econ 101 topic, elasticity, today and probably next week we'll focus on maxing the number of beers sold

  • and worth mentioning: while all sorts of things, from ambiance to staff education to promotion have potentially huge effects on this, we'll restrain ourselves again to just considering the volume of each beer

So, as a preview/warm up, here are some topics worthy of discussion re: glass sizing:

  • What the market determines

  • Equalizing choice (example coming soon)

  • The pitcher of sour beer example (see below)

  • The "a beer is a beer" mindset

And here are some topics concerned with pricing:

  • Again, the market price

  • Again, equalizing choice (looking at you, discount IPA)

  • Elasticity of beer pricing! Eek!

  • Discounts/special event pricing (like liters of beer on Oktoberfest, say)

This is obviously the tip of the iceberg, and more may strike me as worth discussing, but for now we have a plenty formidable list! So today, I thought I'd warm you up with a hypothesis on sour beer serving size

Serving size: a tough-to-drink beer, and the opposite

Let's say sour beer costs you $1.30 for a "16-oz" (14.5 after head loss) pint; thus, a "10-oz" pour (8.5) costs $0.54. The question here is, from a pure volume perspective, should you sell the sour beer in the big or small glass, or the big glass?

First, let's assume you'd charge the same for either (but not offer both, obviously), and let's say you charge $8. With a profit margin of 60%, you're making $4.80 off of an average $8 glass, but use the beer cost difference from above, and say that, since the 16-oz version costs you $0.76 more, that you make $4.42 off of a big pint, and $5.18 off of a small “pint”

The big question, then, is how many 10 oz glasses would the general public buy of this sour beer vs 16 oz glasses?

Well, if the industry standard for these beers is about a 5-10 oz pour, and further sour beer can be quite difficult to drink in bulk, so I suspect you'd sell an extra 10-oz glass for every three 16-oz glasses - that is, 10-oz glasses would outsell 16-oz glasses by 4:3. A hypothesis! Not exactly real! But plausible, I think

So what's the consequence of this? Let's say you sell 20 10-oz glasses of the sour per day; in this case, by switching to 16-oz glasses, I claim you'd sell 15 pints. Thus, the 10-oz pour nets you $103.60 per day, while the "generous" 16-oz pour would net $66.30. Not a staggering difference, but that $40/day or so really adds up, and you can imagine the effect of applying several small such strategies to your whole menu

Let’s generalize!

A similar question is, let's say the 10-oz glass sells a little worse actually than the 16-oz glasses; at what point should you just sell 16's despite the lower profit?

Well, the 16 is the smarter move while: $4.42*m - $5.18*n > 0 (where m = number of 16-oz glasses per day, and n = number of 10-oz pints per day)

or, while m/n > $5.18/$4.42, i.e. m/n > 1.17

This is to say, as long as your 16-oz pints outsell your 10-oz pours by about 17%, you make more money despite the lower profit (~76¢)

  • an extension/inversion of the argument: if we just invert each side of the equation, we get n/m < 85%, or it makes sense to sell the 16-oz glasses as long as the 10-oz glasses under-sell the 16’s by 85% or less; if you sell 90% as many small glasses as large, you should sell the small glass. This is a very plausible number! So there’s no flat-out easy answer

Adrian errs

Which leads to a very interesting point our brewer recently made to me - we had a Hazy IPA which I had put in 10-oz glasses in order to maximize profit per keg since it's an expensive beer, but in doing so, I forewent overall profit - in other words, I wanted to sell packets of sugar for $100/packet in order to maximize profit! Foolishness! Well, so long as our 16-oz pours outsell our 10-oz pours by about 17% (not even, since our Hazy isn't ~that~ expensive)

The point being, when picking glass sizes for new beers, maximize volume! I struggle to imagine a scenario where increasing sales of “beers” by 20% loses you money. Pricing is a different discussion, so stay tuned for that equally huge side of things!

And until then, thanks for reading, and Cheers!

- Adrian

Opportunity Cost, Part 3

Hello! Happy Wednesday!

While we could go on about opportunity cost for weeks or years, and while it’s sure to come up again (literally in the next post, as it turns out), I thought we’d wrap up this topic and jump to another, since we’re just getting this here blog started

So, today we’re wrapping up opportunity cost with a way less number-y, much simpler concept: the value of your time!

And when I say your time, I assume you have subordinates - if not, ouch! You’re stuck doing the stuff. But in the case that some delegation is possible, let me ease your conscience a bit

Let’s say you’re the head of anything from a department of a few people up to an entire business - say, a brewery! - well then, you’re certain to have some medium- to large-sized projects, interesting ideas or maybe simple licensing applications that stand to improve efficiency or just sell more pints. Some (purely hypothetical, I swear) examples might be:

  • Applying for a modification to your ABC license that allows you to sell wine and cider

    • Let's say this upgrade allows you to bring in an extra $40k per year - remember my “all lines are independent, there’s no fixed max on pints” hypothesis? (and granted, my old wine profit calculator says $60k+, but let's say it's not even that)

    • Thus, you stand to make ~$3k per month, so doing the paperwork a month sooner means $3k of otherwise untapped money in your pocket

  • Working on driving down labor

    • If you’re roughly our size, then even a 3% drop could be perhaps $250-$750 per month

  • Driving new style creation

    • Increasing revenue in your taproom by even 1% might be well over $1,000

  • Dialing in cash flow

    • Having time to attend to the small things could mean catching a double-payment, pushing brew dates slightly into the future, avoiding late fees by paying crucial bills on time; any number of small things, which improve cash flow, mitigating the risk of taking out a big loan

    • Viscerally: if delegating small work during a busy month decreases your chance of having to take out a $100k loan by 10%, and the interest payments on that loan are $10k, then using classic Pascal logic, the value of delegation is 10%*$10,000 = $1,000 (granted this is a one-time value, not monthly, but still)

Sure, money, we get it, but what is that delegation going to cost me?

Well, in California, 10 hours per week at minimum wage ($13.25) times a 1.1 multiplier to be safe is $632/month. So yeah, if you think you can find $633 every month with an extra 10 hours per week, then delegate! While you may not be doing 10 whole hours of needless stuff, and while it'd be tough to find someone willing to do just 10 hours of stuff per week at minimum wage, clearly this story isn't one about exact dollars-and-cents but about the gist - your time is valuable, a big business has plenty of 4-figure tokens just lying around on the floor, and your job isn't really to sweep or stamp things unless you want to (it's a good political move to appear alongside the "working stiffs" with some frequency) - rather, for the most part it's to push the company forward. Heck, increasing taproom revenue almost certainly means more tips, which is a free morale boost for the bartenders - so think of delegation as selfless if you wish!

Not so bad, right? Well I’d like to thank y’all for trudging through my series on Opportunity Cost, and I’ll see ya next week for something hopefully just as interesting and practical - maybe beer pricing!

Cheers,

Adrian “Dustin Hoffman as Raymond Babbitt in Rain Man” Febre

Opportunity Cost, Part 2

And now, Opportunity Cost continued

As alluded to previously, there’s another big decision that hinges on Opportunity Cost: whether to sell, say, cans of a special beer through distribution and, if so, how much. Whereas last time the difference in profit was hiding in pushing a larger volume of another beer at the same price, this time the difference in profit comes from the obvious source: making different amounts of money for the same object through different departments

So, let’s start by quantifying this difference. While, as discussed last week, we can treat our margin in the tasting room as ~60%, and for reasons I may explain later, let’s take our distro margin as 15% (that number gets way better if you’re bigger - both by selling more, and with a lower production cost).

But! If the tasting room didn’t seem sexy enough for you, there’s another huge factor: distribution revenue is generally across the board way, way lower than tasting room revenue (even for cans, where you’d be crazy to charge PTR for a case in the tasting room).

An example would be kegs - last week we saw that revenue from a 1/2 BBL keg was ~$1,115, whereas in distro, good luck charging even a fifth of that for anything normal (even most IPAs). So your profit, being of course margin x revenue, is about (60%*$1,115)/(15%*$230) = ~20 times as high in the tasting room

That’s. That’s fucking wild. This doesn’t mean you shouldn’t distribute, but it does mean that if you sell out of a beer in the tasting room even a day early because you sold one 1/2 too many in distro, you probably lost out on some money - the longer the period, the worse the damage. And hell, even if your distro margin is a psycho, impossible 100%, the logic still holds. You’d have to have a taproom margin lower than, like, 10% in order to negate this effect.

So let’s consider two examples: running out of a popular beer, and selling cans

Sold out!

We have multiple popular beers, and we used to run out of them once in a while. Let’s say that we sell 60 pints per day of one such beer (~.200 BBL/day), and we sell a few too many to distro, resulting in a modest week-long outage. How bad is the damage?

Well, how many kegs is that in the tasting room? 7*.200*2 = 2.8 kegs. The lost revenue on this is, from last week, $1,340*1.4 = $1,876. Staggering.

And how much money was that in distro? If we our PTR was $230, with our margin of 15%, profit = $230*15%*2.8 = $97

So, you lost about $1,779 in one week. Holy shit! That’s a truckload of money. Don’t ever risk selling out of a popular beer in the taproom by selling too much to distribution accounts

Cans and the tasting room

Many taprooms sell cans both abroad and in the tasting room. Here’s a fun fact for you: our can revenue is strongly correlated to the number of options available, as can be seen here:

can options vs rev.png

Pretty startling, right? In any case, the point is this: more can options = more revenue, and more rigidly than that monotonic condition, the relationship appears linear. Wild stuff

So, let’s play the same game - selling cans in distro means you drop from 4 options to 3 in the tasting room. Now, let’s say you sell a modest .05 BBL/week in the tasting room (half a case a day), so a week’s outage is a mere 3.5 cases. Let’s say a case has 6 4-packs for which you charge $15 in the tasting room, but your distro case price is a competitive $65/case.

While your distro profit is 3.5*$65*15% = $34, your tasting room profit would have been 3.5*6*$15*60% = $189, so even running out of a single can option for 7 days cost you $155. So try not to do this either. And for the record, given the super low labor of selling cans in the tasting room, the effective margin is likely higher, while distro’s labor is comparable for kegs and cans, if not identical (who buys cases and kegs?).

Final Words

I think there are three thoughts that summarize this vivid lesson:

1) Distro isn’t at all a bad idea, but it can cost you a ton of money if you prioritize it over the tasting room

2) Opportunity Cost is very, very real, and you can either build it into your business or lose thousands or more

3) Profit = Margin * Revenue

Opportunity Cost 1B: Illustrated

Hello! Happy Wednesday, and welcome to another blog post!

Today’s a two-fer, since that last post was a bit…wordy, and a friend suggested a helpful illustration. As such, here we go:

  • pictured, we have a plot that tells you whether or not to dump a beer you have on for another one you have waiting in the wings, assuming all of your lines have beers

  • the x axis is pints per day of your current beer (the max, 60, being roughly equal to our most popular; 20 is the average for the non-standard beers, which I lovingly call the “freaks”), and the y axis is the number of extra pints you’d sell by swapping

  • if your two beers put you into the shaded zone, you’d make money by swapping, and vice versa

    • thus, if you have a popular beer, it’s not likely a swap is smart

    • and if you’re selling no beer, swap (i.e. if you have an empty line, use it! There may be limits to that related to an overload of consumer choice, but through various analyses it seems like we haven’t reached that point)

  • the other line, the dotted line, describes the number of extra pints we’d sell by swapping to an average freak beer; thus, at 0 we’d sell 20, and at 20 we’d sell 0; connect the dots and you have your line

    • so, on average, if you’re to the right of the intersection of these lines (i.e. sell less than 17.4 pints per day), you should swap! How’s that for concise?

    • this number should be smaller than 20, because it costs money to dump beer, which indeed is true

So, without further ado:

swap plot.png

Opportunity Cost, Part 1

Hello!

As a brief introduction, I’m Adrian, and I’m what I like to call a Numbers Guy (demand planner, operations manager, data analyst, etc) at a small brewery in Van Nuys.

Over the last year or so, I’ve slowly built a pile of spreadsheets, python scripts, and ad-hoc analyses that cover anything from mug club pricing, to brew date planning based on supplies and demand (not the concept), to the statistical effect on revenue of, say, adding a pizza kitchen, or changing beer prices, and I feel like what I’ve found is interesting and odd enough that I’d like to share it.

So, without further ado, let’s dive into the first part of a small series on Opportunity Cost !

Full disclosure, I got a D- in Econ 101 (I went maybe three times and didn’t do the homework, granted), but there was this very cool concept we learned about called Opportunity Cost. The gist is that, where you have multiple options for, say, making money, choosing one option results in making less than another.

While it seems obvious that you’d always just take more money, here are a few examples in the beer game that illustrate the subtlety of this choice, and often the opacity of the “value” of the options:

- managerial staff (owners, for example) helping out with menial work (labelling, brewing)

- one example would be owners doing secretarial work for themselves instead of hiring someone, because the labor is “free”

- this isn’t necessarily bad, but how much time are we talking? How much would it cost to hire someone?

- a particular favorite of mine: whether or not to cap the amount of, say, a popular can SKU you set aside for distro (the heart of the argument being that the margin in a tasting room is way higher than in distro)

- and a subset of this: pursuing new, low-margin businesses (like expanding distro) over improving existing high-margin businesses (streamlining labor and organization in a taproom)

- selling every last keg of a low-performing beer when a popular one is waiting in the wings

Obviously we’ll go over each of these, but I thought we’d start with the last one, which I think is both surprising and a wonderful example of the low cost of kegs of beer and the high value of pints, and how that simple idea can have huge practical implications

So, first of all, the assumptions:

- the number of pints sold per day (on average, i.e. over time) is not fixed, but depends to some degree on the quality of the product (from bartender to beer)

- a caveat: there is definitely a max number, but I’ll assume you’re not at that extreme

- you’re using every single line available

- an average 1/2 BBL keg of beer costs, say, $100, and you’re selling “16 oz” (13.5 after head loss) pints of beer at $8 each

- your “unpopular” beer is being sold at a rate of .060 BBL/day, and you’ve determined that your popular beer will probably sell at double that, or .120 BBL/day

- these are both pretty in line with our actual numbers

- let’s say that initially you have one pallet, or 4 BBL (8 1/2 BBL kegs) of slow beer left

- finally, let’s assume your taproom has a profit margin of 60%, and that your pouring efficiency is 95% for draft beers (i.e. you only lose 5% of a keg to foam spillage and dumped beers)

And the scenario, which is quite simple: you’ve brewed more beers than you have lines, so at least one beer is waiting to be tapped. Let’s also say you have a beer on a line that’s not selling super well, and of which you don’t have a ton on hand (let’s say less than 8 kegs). The question is, when should you dump this beer?

First, let’s look at the profit per day for each item, which is simply (BBL/day)*(Revenue/BBL)*margin. To get that, we need the Revenue per BBL, which is the following:

Rev/BBL = (Rev/Pint)*(Pint/BBL)*efficiency = $8*(3968/13.5)*95% = $2,230

And Profit/BBL = $2,200*60% = $1,340

slow beer: .060*$1,340 = $80

fast beer = 2*slow beer = $160

Thus, if we replace the slow beer with the fast beer, we’ll make an extra $80/day (again, we assume that the number of pints sold per day is not fixed - we may touch on this later, and how to numerically evaluate this claim with enough data, but for now I’ll say this: if I’m at an amazing bar, I’ll get 3+ drinks and make sure to return; if I’m at an okay bar, I’ll get one beer and never come back)

Getting closer! How many days will the current beer last?

days_left = bbl_left/demand = 4/.060 = 67

What’s the cost to dump?

cost_to_dump = $100*bbl_left*2 = $800

(the 2 is to account for our $100 per 1/2 BBL keg figure)

What’s the profit over that period if we swap to a better beer?

prof_if_dump = relative_profit*days = $79*67 = $5,300

So, what’s the profit overall from dumping the beer?

$5,300 - $800 = $4,500

Which is insane. The profit, real actual US dollars profit, you’d extract from your tasting room from dumping out (literally down the drain!) a pretty huge amount of beer and putting on a more popular one is a staggering $4,500 over a two month period. That’s the additional profit for just one line of beer!

And before that seems like a contrived scenario, we literally just did that - in our case, just taking down an outside beer which we usually have on year-round and putting up a tried-and-true popular beer, which we also had in cans (on the first day, it was our best seller). Nuts!

But you may be thinking that the whole notion of “days to outage” is extraneous - the fact that it’s a good idea to dump doesn’t seem to depend on when you dump the beer, implying ASAP is the best time to do it, so is there a more general equation that tells us whether or not to dump a beer, at any point, for a more popular one? Algebra says yes. We want the revenue per day after swapping to equal (i.e. break-even with) the cost of dumping, so:

prof_per_day = (fast demand - slow demand)*(profit per barrel)

cost_per_day = (cost per bbl)*(slow demand)

(a good sign: the units of both of these is $/day)

so: prof_per_day = cost_per_day

(fast demand - slow demand)*(profit per bbl) = (cost per bbl)*(slow demand)

(fast demand - slow demand)/(slow demand) = (cost per bbl)/(profit per bbl)

This is the break-even condition, so if the left side is greater than the right side, we should dump (i.e. the overall profit is the left side minus the right side). Interesting! So a few things about this equation:

- as slow demand goes to zero, your cost per bbl would have to be infinitely larger than your profit per barrel to justify dumping i.e. you’re selling so little that it’s a near certainty that you should dump, which is true

- things that make dumping a good idea: higher profit per barrel, slower demand for the slow beer, higher demand difference between the two beers, and lower cost per barrel, which all check out! So this is probably a correct equation

Let’s plug in our numbers:

(.120 - .060)/(.060) >? ($200)/($1,320)

1 >? .15

So indeed! We should dump. And further, and this is also nuts, if the difference in demand is a mere 15% of the demand of our slow beer, we should dump; so if, say, our popular beer were the slow one, we’d only need a beer to sell an extra .018 BBL/day to justify dumping any quantity of our current beer in order to get the new one tapped

So, a big corollary: you should “never” brew a beer that you suspect to be less popular than your current least-popular beer. While this is true in our context when all of your lines are full, I think it applies generally, with the exception of risky new styles (and even then, if you have more than like 10 beers, the slowest seller will generally set the bar low). Clearly, given the massive cost/profit ratio for brewing/selling beer, you should sharkishly sell good beers without hesitation over nursing your slow-selling darlings

And if you’re wondering how this applies to you specifically, you’re welcome to use the above and following formulas, and if dump_profit is a positive number, for example, by all means dump the current beer:

dump_profit = prof_if_dump - cost_to_dump

given:

prof_if_dump = prof_diff*days_left

prof_diff = (revenue per keg)*(taproom margin)*[(BBL/day of fast beer) - (BBL/day of slow beer)] days_left = (BBL left of slow beer)/(BBL/day of slow beer)

and: cost_to_dump = (cost to manufacture BBL of beer)*(BBL left of slow beer)

Thanks for reading, and see ya next week!

- Adrian