SECTION 01Nine days
On March 23, 2023, the vice president responsible for Bud Light sat down for a podcast and said the quiet part in a completely ordinary tone of voice. The brand was in decline. It had been in decline for a really long time.[4]
Nine days later, on April 1, a sponsored post went up. What followed is one of the most discussed commercial events of the decade, and almost every account of it shares one assumption: that something was broken in April 2023.
The head of the brand had already said it was broken. On a podcast. Nine days early. Nobody treated it as news, because it was not news. It was just true.
We are not interested in the argument. We are interested in the arithmetic, because the arithmetic is genuinely surprising, and because it is the same arithmetic sitting unexamined in most businesses that will never make a headline.
SECTION 02The fifteen-year number
Bud Light peaked at roughly 41 million United States barrels in 2007 and 2008. By 2019 it was at 28.3 million, holding 13.3 percent of the market. By 2020, 26.45 million and 12.4 percent.[5] By 2022 it was somewhere around 22 million.
That is a loss of nearly half the brand, spread across fifteen years, at roughly 6 percent a year.
| Year | US barrels | Market share |
|---|---|---|
| 2007 to 2008 (peak) | ~41.0m | not published |
| 2019 | 28.3m | 13.3% |
| 2020 | 26.45m | 12.4% |
| 2022 (implied) | ~22.3m | not published |
Six percent a year is the most dangerous rate of decline there is. It is too small to trigger anything. No quarter looks like a crisis. No month looks like a crisis. Every year looks like a year you can explain, and there is always something true to explain it with: the category, the weather, seltzer, the economy, younger drinkers.
Fifteen of those explanations in a row is not a run of bad luck. It is the shape of the business. But you can only see a shape if somebody draws it.
SECTION 03The week that was already bad
Here is the retail scan curve through 2023, as analysed from NielsenIQ data by Bump Williams Consulting and reported in the beer trade press. Read the first row before anything else.
| Week ending | Dollar sales vs prior year | Volume vs prior year |
|---|---|---|
| April 1 (before the post) | -1.6% | -6.4% |
| April 8 | -6.9% | -10.7% |
| April 15 | -17% | -21% |
| April 22 | -21.4% | -26% |
| April 29 | -23.4% | |
| May 6 | -23.6% | |
| June 17 | -28.5% | -31.1% |
| July 22 | -26.8% |
The week before the post, the brand was already selling 6.4 percent less beer than it had a year earlier. That is the baseline. That is a normal week.
The event did not create the decline. It took a brand falling 6 percent and made it fall 26.
Which is a different story, and a more useful one. Nobody argues about whether a business can survive losing a quarter of its volume in a quarter. Everybody argues about whether it matters that they were losing six percent a year for fifteen years first. It mattered enormously, because the brand that made the April decision had no margin left to spend and the numbers had been saying so since roughly 2008.
SECTION 04How fast anyone could have known
There is a comfortable version of this story where a company was blindsided because the information did not exist yet. That version is not available, and the proof is in the company's own filings.
Anheuser-Busch InBev reports two different volume figures every quarter. Sales-to- wholesalers, the beer it ships into distributors. And sales-to-retailers, the beer those distributors actually sell on to bars and shops.[1] Its own fourth-quarter line for 2023 reads: revenue down 17.3 percent, sales-to-retailers down 12.1 percent, sales-to-wholesalers down 16.1 percent as shipments lagged stronger depletions in December.
You do not write a sentence like that unless you are watching both numbers, separately, closely enough to notice one running ahead of the other inside a single month.
Shipments are what you sold to your own distribution. Depletions are what the world actually bought. A company can ship a strong quarter into warehouses while demand is already gone, and the shipment number will look fine right up until it does not.
Every business has a version of this pair. Bookings against delivered work. Orders against collected cash. Anything you count when it leaves your hands against the thing that happens further down the line.
United States beer runs through a three-tier system in which distributors report depletions back to brewers continuously, down to invoice level. The trade press, working from a handful of phone calls to wholesalers, had a usable read on the first affected weekend within about three days. A company sitting on the actual feed was not slower than the reporters ringing around.
SECTION 05Four days, thirty-three days, one hundred and twenty-four days
So here is the shape of the thing, measured in days from April 1.
| Days | What happened |
|---|---|
| -9 | The brand's own marketing chief says on a podcast that it is in decline |
| 0 | April 1. The post |
| ~3 to 8 | A readable decline exists, first in distributor depletions, then in retail scan data |
| 13 | April 14. The chief executive issues a public statement. It contains no number[7] |
| 33 | May 4. The first public figure: the April decline described as around 1 percent of global volumes[3] |
| 124 | August 3. The first audited quantification: United States revenue down 10.5 percent[2] |
Read those two middle rows together. The information existed inside a week. The first public statement landed on day thirteen and did not carry a figure. The first number arrived on day thirty-three, expressed against global volumes, which is the largest available denominator and therefore the smallest available percentage.
Detection was never the constraint. The distance between knowing and saying was the constraint, and that distance is not a data problem at all.
SECTION 06What a data team changes here
Not the April decision. Nobody's spreadsheet was going to settle that argument, and we would be lying if we suggested otherwise.
What changes is what the room knows when it decides.
There is a version of that meeting where somebody puts up one line: fifteen years, minus six percent a year, forty-one million barrels down to twenty-two. Not as an argument for or against anything. Just as the thing everyone is standing on. That line existed. It was buildable from public industry data by anyone who wanted it. The brand's own VP had described it out loud the week before.
The second thing that changes is the clock. The gap between a signal appearing and a human seeing it is a choice, and most businesses have never made it deliberately. They have a monthly rhythm because month-end is when the accountant closes the books, not because a month is the right unit for noticing anything.
A decline of 6 percent a year is invisible monthly and obvious weekly. Nothing about the data changed. Only the interval it was looked at.
Third: the pair. Whatever your business ships against whatever your business actually sells. Bookings against delivered. Invoiced against collected. Trials against renewals. The leading half of that pair is the one that moves first, and in most companies nobody owns it, because it belongs to two departments and therefore to neither.
SECTION 07The point
The most expensive number in this story was not the 26 percent. It was the 6 percent, held for fifteen years, in plain view, in a figure anyone could have drawn.
Big companies employ whole floors of people to draw that line, and it still took a podcast for anyone to say it plainly. Small companies do not have the floor, so the line never gets drawn at all, and the slow version of this happens quietly, over years, to businesses that never appear in anybody's headline.
The decline is rarely the surprise. The surprise is finding out how long it had been running.
If you want your own line drawn
We are a data team that small businesses hire like staff. We work with owner-operated businesses doing $2 million to $50 million a year.
Before anyone pays us anything, we will put together a short brief on your business from what is public, so you can see how we think first. Write to data@kixik.tech, or read what we actually do. The other thing we have written is the strawberry price calendar, which is about a cycle that has not missed in thirty-five years.
