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Prime Future 115: Building the (sales) machine as you fly

Let’s talk about building out a sales capability within a startup. This is so tricky because, by definition, you are building the sales process & capability from a blank piece of paper. Just straight up building the machine as you fly it.

Below is a laundry list of things I’ve learned about building out a sales capability from my own experience as a sales rep, as a founder (early sales can’t be outsourced), and as head of commercial scaling up a SaaS sales org…and from great mentors and other resources.

Some of the below is from my playbook, and admittedly a lot of this is what I wish had been in my playbook sooner….aka things I’ve learned by making all.the.mistakes. And the thing about the art & science of sales is that the more you learn the more you realize how little you know.

The caveat to the list below is that everything in sales is contextual; none of these will work all of the time but most of them will work some of the time, depending on the context.

Building a sales organization is about building a capability, a machine that will repeatedly produce predictable results. A constantly evolving machine that needs constant refining.

My overarching goal in building a sales machine is to build in ways to accelerate learning velocity – as individuals, as a team, and as an organization.

You can get as complex as your heart desires, but sales does not have to be complicated. Basic frameworks can be super helpful. These range from hiring to training to sales meeting structure to sales process.

(1) “Tell me about something you’ve recently geeked out about learning.”

I will forever and always believe that curiosity is the single best predictor of success in a salesperson. I want to know that a salesperson is intellectually curious about…anything. I always ask this question in the hiring process. If they aren’t curious about non-customer things, they are unlikely to be curious about their customers.

(2) “Tell me about a recent example where you received feedback, implemented it, and what the outcome was.”

This is another interview question. I will forever and always believe that the appetite to seek feedback, hear feedback, and implement feedback is another predictor of success in a salesperson. Too arrogant or set in their ways or closed-minded to change? Hard pass. The ability to take feedback is a proxy for the rate of learning. And by taking feedback, I don’t just mean from their manager, I mean from their peers and much more importantly, from the market.

(3) Red flag if customer facing candidates don’t negotiate their own comp.

If I’m hiring someone for a commercial role in which they are responsible for selling value to customers in exchange for dollars, I fully expect them to negotiate their own comp package. Why would I expect them to be able to ask customers for more money on behalf of the company if they can’t ask for more money on behalf of themselves?

(4) Hire salespeople in pairs.

Especially early in the commercialization of a new product or service, if you hire 1 person and they don’t make progress then you don’t really know if it’s the person or if it’s the product, the pricing model, etc. But if you hire 2 people at the same time and 1 is successful and the other is not, then you have a better idea. (Though if you hire 2 reps and neither is successful, you need to take a good look at the product & go to market because maybe it’s not ready for prime time!)

(5) Be very very clear whether your company needs farmers or hunters.

Farmers are the sales reps that have the crucial skills of maintaining relationships, over years or sometimes decades. Hunters are the sales reps that take you from 0 customers in a market or region to your first 10 customers. If you are an upstart, by definition you need hunters first. Of course, there are exceptions, but in general, farmers don’t make very good hunters and hunters don’t make very good farmers. Resource accordingly.

(6) Don’t over-index for someone that looks/sounds/acts like your customer.

This is common in agtech companies, particularly with founders who are not from ag and have maybe struggled a bit to build credibility with early customers. You want your customers to accept your salespeople so you hire people who look and act and sound like your typical customer. The problem is this only works if those people have the capabilities to go with the persona. If not, you could be burning valuable dollars and time in a mis-hire.

(7) Practice like you play; sales role plays make everyone better.

Most anyone who’s been in sales has been forced to role-play sales scenarios and likely hates doing so. But sales role plays are really effective ways to practice how you’ll play in the big game moments, and create opportunities for peers to coach each other up…and since anytime we teach we learn more ourselves, there’s this powerful acceleration that happens for the entire team simultaneously.

Role plays don’t have to be extensive, it can be as simple as 10-minute drills in a team Zoom call where a prompt gets thrown out “You’re in the 2nd meeting with x prospect who has y objections, how do you handle those objections?” 5 minutes to role-play, 5 minutes of peer feedback and we’re on to the next person.

These are so valuable because they force you to go from ‘here’s what I would say’ to ‘let me practice saying it’….which is way harder. And maybe it leads to a team brainstorming about how to handle some scenario that continues to come up again and again…..its’s all about accelerating learning velocityAnd it only works if the team is filled with relentlessly curious individuals who have the humble confidence to seek & accept feedback for the purpose of getting better faster.

(8) Planning matters, even for experienced teams. The best sales meetings are usually the best prepared.

Even if all you do is jot down at the top of a note page the 1-2 objectives of the meeting, and the 2-3 key questions you’d like to ask to accelerate the sales process. Its really easy to get lazy and skip this planning step, which often ends up being disrespectful to the prospective customer and disadvantageous for the salesperson. This is also one of those sales organization cultural things – either it’s expected that we as a team are planners or it’s accepted that we wing it.

(9) Respect your customer’s intelligence.

I reeeeeally hate it when sales people use superfluous adjectives to sell me on something. Don’t tell me what to think about your product. Present me the information or the data or the case. I can make up my own mind and reach my own conclusions, thank you very much. It’s as simple as reframing things from “x feature is so awesome because it lets you do y which is really fantastic” to “x feature allows you to y, how could you imagine that capability impacting your process?” Too many positive adjectives makes me cringe at best, distrustful at worst….I don’t think I’m alone in that.

(10) Be aware of how much time you talk in the conversation.

It’s hard to learn and uncover what’s important to your customer if you’re sucking up all the oxygen in the conversation. Pay attention to how much of the conversation are you talking or the prospect talking. Are you taking up 90% of the air time? 80%? If so, maybe don’t act surprised when the prospect ghosts you. Side note – maybe this is a good awareness exercise for personal relationships as well… Also, the caveat here is that it depends on the nature of the meeting, where you are in the process, how well you know the prospect, how much trust has been established, the prospect’s conversation style, etc. But the general principle still holds.

Sales Process:

I was trained in consultative selling skills as a brand new baby sales rep and I believe in it so wholeheartedly for almost any type of sales but especially for products and services that involve complexity and/or ambiguity and/or complex value propositions. It’s all about understanding the customer’s context to more effectively solve it, aka identifying the right customers and customer situations to create actual value.

The foundation of a sales process is how we run individual sales meetings which then gets layered into the larger sales strategy, and the skeleton of those meetings should usually be the same regardless of the content, beginning with a stated purpose of the meeting.

(1) “The purpose of this meeting is….”

Most meetings are a waste of time because the purpose is not clear, so state it up front. What are we all going to get out of this time, especially the prospective customer?

I love the framework of Purpose, Benefit, Check:

  • Purpose – state the reason for the meeting
  • Benefit – state the benefit to the other person(s)
  • Check – confirm everyone is aligned about the use of time

So it sounds something like this, “The purpose of this meeting is to explore x so that we can make a decision about y. What else would you like to accomplish in our time today?”

My hypothesis is that 30% of meetings would become emails, and 70% of meetings would be more productive if every meeting started with “the purpose of this meeting is….”

Having a clear Purpose-Benefit-Check sets the tone of the entire meeting. Having this written down ahead of time increases the odds that it will come out how you want it to instead of a jumble of words.

(2) Advance the meeting on purpose.

You know what the purpose of the meeting is because you’ve stated it and everyone agreed to it. Now be thoughtful about how you might get there!

One part of advancing the meeting is asking smart, well-worded questions that expand & accelerate the conversation…

(3) Level up from close-ended to open-ended questions.

Only use yes/no questions rarely and on purpose. 99% of the time an open-ended question will be a higher-yielding question. There’s a big difference between “is your feed conversion where you want it to be?” and “what’s your philosophy for managing feed conversion?

Exercise: have a peer join you in a meeting and keep count of how many yes/no questions you ask, and how many open-ended questions you ask. Chances are you’re asking more close-ended questions than you realize, or would like…most of us are. It takes awareness and practice to build the muscle of asking quality questions.

(4) Level up from open-ended to high gain questions.

There are open-ended questions that open up a conversation, and then there are high-gain questions that lead to magic. Here are some examples:

  • What are your top 3 issues managing feed conversion today?
  • If you had to choose 1 of those issues to solve, and you had an unlimited budget, how would you tackle it?
  • If you could solve that issue, what would it mean for your business? Your budgeting? Your operations? Your board of directors?

The catch here is that you only get to ask so many high-gain questions in each meeting or else it feels like an interview. And in my experience, most people do not think of good high-gain questions on the fly. So this is REALLY a place to plan ahead.

(5) So much momentum gets lost in sales processes because the ball gets dropped in the follow-up.

Close the meeting with a summary and next steps. Then send an email with a summary and the next steps. Then do the next steps.

(6) In most B2B contexts, unpaid pilots = uncommitted customers that are hard to convert to paying customers.

It’s not about the revenue, it’s about the psychology of the user: what's free doesn't feel as valuable as what we've paid for.

(7) Quantify the pipeline as early as possible.

This lets you identify trends around bottlenecks and what’s working or not working. However rough the data is, however limited the systems are….even estimates are better than nothing. This can be as simple as:

  • Leads
  • Qualified Leads
  • Demo
  • Proposal submitted
  • Contract signed

(8) Create shared language on the team.

Having 1-2 anchor books that every new hire reads and that we refer back to as a sales org can be really helpful in anchoring everyone to the same language and ideas…another way to accelerate learning velocity. Here are a few of my favorite resources:

Ok that was a lot and it barely scratches the surface, but I hope you found at least 1 helpful nugget.

The rebuttal to some of this is that it sounds robotic and formulaic at first glance, but that’s why you practice and iterate and make it your own until it is completely natural and genuinely fits your approach.

Really effective sales people have really effective systems and processes, so do really effective sales organizations.

It’s like the James Clear quote:

You do not rise to the level of your goals. You fall to the level of your systems. Your goal is your desired outcome. Your system is the collection of daily habits that will get you there.”

A huge part of the fun in building out a sales capability is stealing from existing playbooks what you can, modifying where you need to, and creating what’s missing for your specific customer/product/market….all part of building the sales machine as you fly 😉

What are your 1-2 favorite sales principles?

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Prime Future 107: Lunatic farmers, velocity, & the 1% rule 🚀

The content below is from one of my favorite Prime Future editions from 2021. In the coming months, we’ll build on the concept of the lunatic farmer and how they give us glimpses into the future.

But as you read about lunatic farmers & the idea of business model velocity, keep in mind these words from James Clear:

It is so easy to overestimate the importance of one defining moment and underestimate the value of making small improvements on a daily basis. Too often, we convince ourselves that massive success requires massive action.

Meanwhile, improving by 1 percent isn’t particularly notable—sometimes it isn’t even noticeable—but it can be far more meaningful, especially in the long run. The difference a tiny improvement can make over time is astounding. What starts as a small win or a minor setback accumulates into something much more.

Now imagine how this 1% compounds over a 40-year career or over 5 generations of a family business or over 100+ years of industry evolution…so much lunacy.

Oh and if the context clues so far weren’t enough, “lunatic farmer” is my highest and best praise, a term of endearing admiration and total respect.


The owner of a dairy was lamenting the rise of mega dairy systems and the risks they pose to small dairies like hers. How many cows does her dairy milk?

7,000

It’s a laughable story except that this dairy farmer & her family have grown the herd from a few hundred to several thousand over the course of their career. They’ve struggled and strived, taken risk after risk to get where they are. And yet in their minds, they still identify as small, scrappy, insurgent producers trying to survive.

There’s a dynamic that plays out across the ecosystem of food production where size matters. To everyone. A lot. There’s an awareness (obsession?) about the size of suppliers, customers, processors, and neighboring operations:

  • Big retailers want to deal with big food brands, not small insurgents. There are tangible costs to dealing with more suppliers, it smaller suppliers, inexperienced suppliers with unproven track records, etc.
  • Some consumers want to buy food produced on a ‘small family farm’, whatever that means. (Why does ‘family’ have to imply a modest-sized business? And who decides what size is the right size? And don’t *all* small businesses either evolve, grow, or die? I digress…)
  • Some (most?) producers would like to sell livestock to small(er) processors who have less pricing power than processors in an oligopoly have. (What if the packers got Standard Oil’d?)
  • Many producers fantasize about having more acres, or head of cattle, or poultry & hog barns.

There’s a special irony in the tendency among farmers to want to be bigger than neighboring operations. It’s almost a tendency to criticize the operators who run more acres or head than they do. (But is it criticism or envy? Sometimes the two look eerily similar.) It’s like a Russian nesting doll situation where the 700 acre farmer judges the 2,000 acre farmer who criticizes the 15,000 acre farmer as too big. I’ve heard this lament from midsize farmers a few times recently and it raises some questions…How many acres is too big? How much profit per acre is too much? How much revenue per year is deemed over the top? These sound like questions that supporters of alternative economic structures would ask, not those who enjoy the benefits of a capitalistic economy….

The primary counter to the notion that small business > big is the idea of available resources. Who is in a position to commit more resources to ensuring appropriate nutrition – the backyard poultry farmer or the large integrator? Who is in a position to invest in technology that reduces deboning costs in the plant – the custom processor killing 50 head/day or the large plant killing 5,000 head/day?

The primary counter to the notion big business > small is, well, we just know this isn’t always true, right?

Big business can be good, small business can be bad. Vice versa. Some small businesses are amazing employers, some are terrible. Some small businesses are terrible suppliers, some big businesses are amazing customers. Vice versa.

I’m less intrigued by the external voices extolling or incriminating business size. I’m more intrigued by the view of producers, and what causes some producers to maintain status quo and some to find a model that allows them to scale.

Sometimes bigger is better, sometimes smaller is better…size is not the indicator of success and it’s definitely not the goal.

A recent Reddit thread on personal finance included a comment by a couple making $500,000/year who un-ironically identified themselves as a middle class family with middle class money concerns. It’s a similar dynamic with the large producer who still has the mentality of scrappy insurgent, maybe (likely?) that mentality is what helped them get where they are – what helped them do things their peers weren’t doing, to get different outcomes than ‘average’ producers.

Can we just admit that the obsession with farm business size is….kinda odd? Or at a minimum, it’s not very helpful.

My hypothesis is that scale is a lagging indicator; velocity of business model innovation is the leading indicator of success.

The more commoditized the business, the stronger the pull to scale to reduce cost per unit.  The more value oriented the business, the stronger the pull to create incrementally more value per unit. There’s no clever analysis in those statements – those are natural forces that are a function of capitalism and a mature agriculture industry.

I think the successful producers (or packers or xyz business) who will thrive come-what-may are the ones who don’t think of their business based solely in terms of the output (corn, soy, weaned calves, whatever), but rather view their business as a business model that is in continual refinement mode. They constantly ask what’s the process that most effectively generates the output. They think in systems that can optimized.

(This is a great article on the founders of Premium Standard Farms, the ‘inventors’ of the mega farm / consolidation model in pig production and the mental models they put to work…some worked, some didn’t. Btw I’m still waiting for a good book about this phenomenon in poultry – can somebody write that plz? 🙂)

It seems that the really successful producers are the ones that have a vision of where they are going and how they will get there. There's no doing it this way because that's how we've done it, there's no growth for the sake of the growth. There is only relentless learning and improvement.

The great producers realize that they aren’t selling just a commodity output, they are selling their business model.

Size is not the determinant of success. It’s about business discipline, management, relationships, processes, team, leadership, ambition. Successful producers have a vision for the future that they rally the team around, there’s an ever-evolving plan for increasing revenue per unit produced or decreasing cost per unit produced, or both.

I recently asked a really large operator how they grew their business over the last 20 years from something not at all uncommon to something truly extraordinary. Did they have access to capital that others didn’t have? Some other advantage not available to similar producers? “I don’t think so, I think we just do things in a different way than most people are interested in doing. We do a lot of things that aren’t uncommon for most growing businesses, they are just uncommon for production ag businessesWe have a yearning for learning. "

Let’s call a spade a spade – capital is abundant and cheap in 2021, as it has been the last several years. Ideas are a dime a dozen. It’s everything else that separates the aggressive producers from the rest. (The rebuttal I’m expecting is what about the market, the weather, etc etc etc…..luck and timing play huge roles in ag, I’ll never downplay that. But there’s more to this phenomenon than that.)

I’ve referenced Allen Nation’s book before, but germane to this conversation is a chapter on how farmers approach innovation with insights pulled from a 1962 book “Diffusion of Innovation” that studied extension efforts to get farmers to switch from open pollinated to hybrid corn post WW2.

The innovative farmer is seen by his farm neighbors as a lunatic farmer. And a lunatic is not seen as a role model. As a result, what the innovator does on his/her farm is literally invisible to the neighbors. This is true even if the innovation is producing visible wealth. The normal reaction to unconventional success is the old it-might-work-there-but-not-here syndrome. The sad truth is that the vast majority of farmers prefer to fail conventionally rather than to succeed unconventionally. It is very, very difficult to be more innovative than the community in which you live.

Here’s the really germane part: “No farmer referenced what a farmer smaller in acreage than themselves was doing as applicable or worthy of study. Everyone preferred to learn from someone larger than themselves.” Isn’t that fascinating?

There’s irony in that if you’ve made it this far, then there’s a huge chance that you are in the groups referenced in this last quote from Allen Nation:

“The innovators and the early adopters form approximately 15% of the total farming community. Interestingly this percentage is almost exactly the same as the number of farmers who earn an upper class income from agriculture.”

I’ve recently observed some markers that lunatic farmers seem to have that indicate high velocity of business model innovation:

  • They ask questions. A lot of questions. They find smart people to ask questions. They find smart people in non-traditional places to ask questions.
  • They read. Not just industry magazines, they look outside.
  • They have a sense that what they are saying sounds half crazy, dare I say they know it might make them sound like a lunatic farmer.
  • They surround themselves with high quality people, high quality teammates.
  • They have a system they are building/running, a flywheel they are looking to spin faster.
  • They have some insight that most of their peers don’t, some belief that isn’t widely held.
  • They know new practices & ideas take time to implement correctly, so they allow margin (time, energy, $) to experiment.

I’ll wrap up today with something I saw on Twitter:

In fast-evolving industries, there aren’t really any experts. There are perpetual learners and, over time, those individuals accumulate an advantage over the “experts.”

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Prime Future 103: I don’t wanna feed the world anymore.

My friends. I have resisted writing this for a while but alas, here we are.

I recently saw a tweet that said:

The American farmer wakes up every day, and goes to bed every night thinking “How do I compete and leverage technology to feed 9B people by 2050”.

It’s the nebulous & lofty industry rah rah. Need a cheer to lead? Feed the world is the golden standby. Old Faithful.

But let’s talk about why this mantra is irrelevant and flawed…and why that matters.

Why we started Feeding the World in the first place

In 2009 the Food and Agriculture Organization of the United Nations released it’s report saying:

According to the latest UN projections, world population will rise from 6.8 billion today to 9.1 billion in 2050 – a third more mouths to feed than there are today. (Creating the need to) produce 70 percent more food for an additional 2.3 billion people by 2050.

What else did the report say though? It talked about the complexity of accomplishing this from considerations for production (water & land use & availability) to considerations for lifting more people out of poverty (from investment in rural infrastructure across Africa to increase access to food to the prediction that 70% of people will live in urban areas by 2050 up from 49% today). Not to mention the changes in demand for different types of food as incomes rise, and the role of policies around biofuels and how that will impact commodity prices.

Oof, that’s a lot of complexity and competing dynamics among really really hard problems.

If you think about the scale and complexity and geopolitics and cultural trends involved in the global food industry, it’s almost intellectually insulting that we’ve boiled it all down to ‘feed the world’.

7 flaws with dumbing it all down to Feed the World

  1. The market’s job is to solve for m-o-r-e through price. Markets have 1 job, and this is it. Nobody needs to suggest producing more, the market will do that.
  2. Supply is more than just production. Producing enough food for x billion people is one part of the supply side of the equation. There’s also the question of distribution & getting the right food to the right markets at the right time. And then there’s the question of how to minimize food waste, whether in field/barn, in transit, in grocery store/restaurant, or in the home. But talking about reducing waste isn’t nearly as fun as talking about increasing production so here we are.
  3. Demand is a moving thing. On the other side of the price equation is demand. What do people want? What are they willing to pay for? What do they have access to? Food tastes and preferences change over time and chances are pretty doggone strong that preferences will look differently in 2050 than they do today.
  4. Other things matter besides quantity. Feeding the world is a commodity message. Higher yield. More throughput. Yield at any cost. Feed the world assumes you can high yield your way to profitability which isn’t always the case. But it also misses what’s happening in the real world where yes, the underlying market incentive is always for quantity of production but there’s increasingly market opportunities & incentives for producers who are optimizing for quality, and/or specific attributes.
  5. Feed the world has also been weaponized to defend certain production practices. “If we can’t do xyz or use abc then we can’t feed the world!” But it’s usually not true, is it? Producers figure it out and the market sorts it out. As one cattle feeder recently said ‘my entire career people have been saying this or that is going to put this industry out of business, but it never does.’
  6. The World is neither a market nor a customer. Even the most mega of mega farms aren’t feeding the world; they are supplying some percentage of some raw materials to some specific supply chains for some specific food items for some specific customers. Not to mention that you could milk tens of thousands of cows and yet still only supply an itty bitty fraction of a percent of global demand for dairy products. Feeding the world? Nope. Feeding this customer segment with this thing? Yes.
  7. Birth rates have slowed in many countries which raises the question, is global population still even on track to hit 9 Billion by 2050? I would love to see an updated population forecast. But whether global population hits 8, 9, or 10 billion by 2050 is irrelevant. Why? See #1 above.

Can we agree that feeding the world was a flawed oversimplification? Markets align incentives to meet demand. Technology enables increased production and/or improved efficiency. Policy and regulation either increases or removes barriers to both supply and demand. Geopolitics influence trade and access. Etc etc etc…

Maybe it seems petty to pick on an idea that sounds so noble at face value. But the nobility of feeding the world is an outcome of what happens at a micro and macro levelnot a driver.

I’m calling this out because it confuses what we wish were true with what is actually true…and you know Prime Future isn’t about that mess. Particularly when it comes to those who are innovating and solving problems in agriculture, to confuse the context around the problem with the problem itself is to build around faulty assumptions.

In conversations with producers, here are a few examples of things that *actually* keep them up at night:
  • Floods. Drought. Derechos. Late freezes. Early snows.
  • Futures markets. Paying off the bank. Interest rates. Fuel prices.
  • Finding great people to hire. Paying great people to stay.
  • Good animal welfare, keeping bad actors and activist groups out of the farm gate. Keeping equipment running and fences standing and housing conditions just so for livestock.
  • If demand for wheat goes up, what happens to corn supply? If more people eat chicken, what will happen to beef prices? If the price of corn keeps going up, what happens to cattle on feed and feeder cattle prices?

What keeps most producers up at night are the day in day out problems of operating in a wickedly complex environment, from the human to biological to weather to market risk to financials.

Feeding the world? Nowhere in the *vicinity* of the list.

Feeding the world is a fine idea. But practically speaking about the day to day, producers are in business to feed their own families. And practically speaking about the next 30-100 years, people gotta eat. No one needs any more conviction about being in a category that will always change but *literally* never go away. We know it.

In 2009 as a brand new baby sales rep in my first grown up job, I LOVED the sense of mission and purpose in the idea of feeding the world. It sounded grandiose and felt important. “I’m not slinging FDA approved drugs, I’m feeding the world” 💛

But it’s not 2009 anymore. We’re 13 years, 3 presidential administrations, 12 iphone versions, multiple regional wars, many percent inflation, and 1 global pandemic later.

Feed the world was a fantastic industry rally cry from 2009-2014. And then it got misapplied and way overused.

So maybe let’s stop claiming to be about feeding the world and be about the realities of unlocking measurable value for producers and consumers?

Only you can prevent nonsensical industry propaganda. Spread the word.

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Prime Future 100: For the 100th time 😁

I started this project in the uncertainty & isolation of those early pandemic days. The stock market was in free fall and grocery stores couldn’t restock the meat case fast enough while dairies were dumping milk as the price plummeted when schools shut down. It was the weirdest of times.

I had two objectives in mind when I started Prime Future:

  1. Find more of my people
  2. Learn out loud about interesting stuff in animal protein

1-0-0 editions later, here we are. And in the spirit of learning out loud, here are 9 takeaways from the process of writing the first 100 editions of Prime Future:

(1) I wish I’d been bolder with my hypotheses by being specific.

Each edition is ~1,000 words so that’s ~100,000 written words so far. The only thing I know for sure is that at least 50,000 will be proven in hindsight, probably more. But I wish I’d gotten more specific in my hypotheses, like “D2C will represent 20% of total meat sales by 2027” instead of the generalized versions.

There’s more risk in putting specific hypotheses into the world than general hypotheses because they’re more likely to be more wrong in hindsight. But there's waaaay more learning in documenting the specific assumptions…which is the whole point.

This takeaway has much broader application though. How often do we make investing/financial/business decisions without clearly documenting our assumptions at the time of the decision so we can come back later and evaluate & learn from those assumptions? I’d love to talk with someone who has a good process for this.

(2) I’m increasingly convinced that we better understand the future by understanding how the current state came to be.

And that we have a better chance of actually c-h-a-n-g-i-n-g the future when we understand why things are the way they are including the economic, social, psychological, and other drivers that got us here.

As always, Winston Churchill said it best, “The further backward you look, the further forward you can see.”

(3) The continual pursuit of learning to write more effectively is the visible side of the continual pursuit of learning to think more effectively.

Having a regular writing process is a forcing function for a thinking process. Writing clearly is a reflection of thinking clearly. Improving the one improves the other. This will be #goals forever more, regardless of how long Prime Future is alive.

(4) We're all making it up as we go.

(5) Getting in the game – and staying in the game – is the ultimate hack.

If you’re in the game then you can learn and iterate. I go months where I’m super fired up about topics I’m tackling and can’t wait to hit publish, and then hit walls where for a few weeks I’m just not inspired – I’m forcing myself to keep writing and I dread hitting publish. Then the inspiration returns. 🤷🏻‍♀️

Get in the game, stay in the game.

(6) People are the absolute best.

The definitive best part of Prime Future has been connecting with aggressively innovative thinkers and doers.

I have a list of leaders I would work for, teammates I want to work with, investors I’d want backing my next startup, and organizations I would love as customers.

The list is titled ‘long term games with long term people.'

(7) I write for myself.

I’m always asking myself, who am I writing for? Sometimes it’s CEOs or the high ambition person early in their career. Sometimes it’s startup founders, or the lunatic farmer (my favorite kind).

But I always come back to the idea that I am ultimately just following my own curiosities about the depth & breadth & complexity & scale & hints about the future of the vast global animal protein business. While my hope is that it’s valuable for people who are actioning the future of animal protein, I write for myself.

(8) There are 2 kinds of people who engage on the interwebs, including with an email newsletter:

  1. Those who interact with thought provoking questions, comments, & counterpoints to the big ideas.
  2. Those who comment only to point out grammatical errors or the misplaced decimal.

Be the first kind, my friends. Be the first kind.

(8) I’m bullish on the future of animal protein.

A friend who drew my name in a Secret Santa gift exchange got me a shirt that has the Prime Future logo and “I’m bullish on the future of animal protein”. (Best gift ever, right?!)

Apparently I say/write that sentence a lot. I say/write it a lot because y’all, I mean itAnd now its on a shirt so imma stick with it.

(9) What a time to be alive.

Perhaps my highest conviction is about why somewhere along the way I started ending each Prime Future with ‘what a time to be alive’.

A couple of years ago a young cattle producer said he was considering selling his cows because alternative meats were going to put him out of business. I consider that question a reflection of the sheer amount of cynicism and negativity and fear mongering that encapsulates this industry; cynicism that is as much from insiders as it is from outsiders.

I’m over that mess.

We can listen to the pearl clutchers. Orrrrrrr we can spend time with the aggressively forward thinking lunatic farmers, the innovators who are solving actual problems, or the pioneers creating opportunity amongst the challenges. It’s virtually impossible to not be bullish on the future of animal protein when you’re surrounded by these people.

Thanks for being here.

What a time to be alive🙂

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Prime Future 97: Game recognize game, scale recognize scale.

The first third of the book The Secret Life of Groceries by Benjamin Lorr is on the evolution & early innovations of the US food retail business. This book has crystallized my growing hypothesis that game recognize game, but scale recognize scale. And that has implications for the future of livestock, meat & dairy value chains.

Here’s my hypothesis:

  • First, the rise of national food brands led to the rise of larger grocery stores.
  • Then the rise of larger grocery stores, and larger grocery store chains, led to growth in meat packing plants.
  • Then the growth in meat packing plants led to growth in cattle feeding/farrow to finish.

Of course drawing this direct linkage up the value chain might be wrong for any number of reasons, including potentially confusing correlation with causation and also that a million other dynamics were impacting each of these individuals segments.

But today we look at some of the innovations that sparked the early links in this chain, and the potential implications for the livestock industry.

Lorr describes four early grocery innovations that were game changers:

(1) Pre-cut boxes.

In the 1890s, pre-cut boxes began being manufactured. This allowed boxes to be covered with labels. The inexpensive individual container gave rise to the brand as the growth of cost effective and wide spread labeling led to the expansion of brands from just luxury items to suddenly include branded staples. Democratization of packaging led to democratization of branding. The packaged food fad allowed food to be differentiated by brand, which suddenly gave shoppers the power of choice.

(2) Self service grocery stores.

Brands grew quickly as they marketed the consistency of the product and stoked suspicion of the prior grocery model of a clerk behind a counter measuring unbranded products and helping each customer.

One innovator realized that if brands could speak for themselves, then there was no need for a customer to interact with a clerk in order to select a product. The grocery store could become an assembly machine with the customer acting as the conveyor belt.

This inverted assembly line would reduce labor costs and increase the speed of the shopping experience. Thus the first version of the supermarket was created when Piggly Wiggly was born, and a value proposition built on selection.

(3) The shopping cart.

After the supermarket was a thing, an inventor noticed that customers were limited in how much they could buy based on the amount their arms or a small basket could hold. The shopping cart solved that problem.

(4) Rapid scale of self-service.

A regional manager for Kroger realized that volume could be the driver of the future of grocery, if you could increase store size, selection, and SKU’s to offer more selection to customers and use volume to make it cheaper than anything shoppers had ever seen. “Can you imaging how the public would respond to a store of this kind? We could lead the public out of the high priced houses of bondage into the low prices of the house of the promised land.”

Kroger rejected the idea and the manager left to start the King Cullen, which proved his hypotheses incredibly accurate.

By 1965 every grocery store was a supermarket and the race was on to grow, at both the store level and at the chain level. In the 1930’s a 6k square foot store was a dizzying experience for customers but that grew to 18k feet on average by 1965 and now of course nobody bats an eye at the 200k square foot Costco experience.

When we think of scale as an advantage, we usually think in terms of economies of scale via reduced per unit costs.

But what if one of the key advantages of scale is greater market access?

National brands like Nabisco, Kellogg, Crisco, and Kraft came of age because these national brands could fill the growing shelves of national supermarket chains.

Large brands worked well with large chains. Customers like working with similar sized suppliers, and vice versa.

It reminds me of how McDonald’s suppliers grew at a similar pace to McDonald’s, like OSI.

Big companies like to deal with big companies. There's efficiency in big companies dealing with big companies. There's ease in it. There's reliability. There's predictability.

Maybe it’s as simple as game recognize game; scale recognize scale.

If this is anywhere near accurate, then there are three potential implications for livestock producers:

  1. The fight against the packers is one sliver of a larger consolidation trend through the value chain. Packers consolidated because that was the path to growth, just as retailers (their customers) consolidate in the path to growth.
  2. Is cow-calf the next sector to consolidate in order to more effectively work with large feedyards? Feedyards can only work directly with cow-calf producers above a certain size, who can send full truck loads of calves. Doesn’t that imply that we’ll continue to see growth of large cow-calf operators?
  3. The increase in homogeneity at scale creates an opportunity for counter positioning…

Perhaps the most interesting thing about this story is how amidst that 1950-1970’s environment of mad dash to scale, the founder of Trader Joe’s zigged when everyone else was zagging at neck breaking speed.

Lorr tells a story about Joe’s local egg broker, who approached Joe with a deal on X-Large AA eggs because he couldn’t get rid of them. None of the other retailers wanted them, preferring instead Large A eggs. Why? Supply of X-Large AA eggs is limited since they were mainly laid by older hens. And big retail chains like Safeway wouldn’t go near them since Safeway’s value proposition was in always having product in stock. Safeway had no interest in advertising X-Large AA eggs and then selling out due to low supply, which would leaving customers unhappy.

This notion of a ‘discontinuous product’ that was actually better quality and priced lower gave Joe the idea that maybe there were more discontinuous products out there. That insight set Joe on the path to “commoditizing individuality” by “providing products that allowed customers to reflect an identity that rests in opposition to the homogenous mainstream.”

The rise of homogeneity in food simultaneously created a lack of uniqueness in food.

Trader Joe’s filled that gap. This is my new favorite example of counter-positioning, from the 7 powers by Hamilton Helmer who defines counter positioning as when “a newcomer adopts a new superior business model which the incumbent does not mimic due to anticipated damage to their existing business.

Safeway didn’t care what Trader Joe’s did around egg merchandizing, because there was no way they would attempt to replicate it – it was completely at odds with the big chain’s business model. And that’s why it worked.

I’m increasingly convinced that in order to understand the future of something, we have to understand the evolution of the past – how we got here and why. The powers of economies of scale and counter-positioning played out in early grocery retail, and are playing out today in animal protein. The one creates room in the market for the other.

Questions for you:
  1. Do you agree or disagree with the hypothesis?
  2. Have you seen this dynamic play out in other areas of animal protein or broader agriculture?
  3. I want to learn about food retail in other parts of the world, any good books/podcasts/articles?

Aside: it’s wild to think about how much the post-WW2 war change for Americans from spending 30% of income on food to 10% had on other developments of the century. We on the agriculture side claim much of the credit for the relative cheapening of food, but I’d love to see some data on the role of the above grocery innovations and distribution.

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Prime Future 52: Where’s the Honeycrisp of the meat case?

I love wandering the aisles of a boujee grocery store. HEB, Whole Foods, Wegman’s…here for them all. Naturally a highlight is walking the produce aisle, letting your eyes take in the color explosion and the magic of plant genetic creativity brought to life: fizzy grapes, plucots, strawberries with more shelf life, sweet peppers with more flavor. Or, the crown jewel of the entire produce aisle: the Honeycrisp apple….pure magic. (I’m honestly not convinced they aren’t laced with something highly addictive.)

The produce industry has produced countless examples of product development / innovations that are visible to us as consumers, that we can see & taste & feel. Yes, genetic progress has been made on traits that improve the crop for the farmer like higher yielding, hardier, etc. But seed companies have been laser focused on outcomes consumers care about: flavor, shelf life, color, etc.

Another case study is the plant based meat category. While the explosive growth is new, let’s not act like the category is. It’s the veggie burger product line that’s been updated, expanded and reinvented to be a trendy  growth category. Veggie burgers weren’t a threat. The packaging was sad and tired, and one can only assume they tasted as disgusting as they looked & sounded. But rethink veggie burger to plant based meat, throw in ~$750M per quarter in venture capital for marketing and product development, create compelling brands tied to a bigger story and …voila!

While plant based burgers aren’t my thing, objectively the product itself has completely transformed – and continues improving – as a result of innovation and R&D investment. Pat Brown, CEO of Impossible Foods, has been vocal about his strategy: bring about a world without livestock for meat by offering a plant based meat product to the world that meets consumer’s objectives on taste, cost, and nutrition so they do not have to make a values based tradeoff.

Which is a smart strategy! It’s the Tesla strategy. It’s ‘product first’ which inherently means high investment in product development. Here is that same mentality applied to other examples:

Now let’s go to the retail fresh meat case where things have remained unchanged for, um, a while. That steak or pork chop or chicken breast is basically the same as it has been for the last 30 years. Why is that?

Most genetic progress in livestock centers around live performance, not end product outcomes.

We talk about genetics in terms of live performance metrics: Feed conversion. Growth rates. Calving ease. Hatchability. None of these are attributes you can see at the meat case.

Improved live performance is producer language, not meat case language.

We all know the amazing genetic progress over the last 50 years across livestock. Drastically improved feed conversions and growth rates have led to much lower production costs per pound of meat/poultry/milk. Great for producer, beneficial for consumer. I’m not taking anything away from the economic or environmental impact of that live progress….but I am saying, maybe it’s not enough?

Like it or not, we live in a what-have-you-done-for-me-lately world….so where are the product development innovations in meat that are noticeable to the consumer?

Where’s the meat case equivalent of the Honeycrisp apple?

To dig into this question, I talked with Kerryann Kocher, CEO of Vytelle. Here’s how she framed the dynamic in beef:

“There are 30 Million mating selection and reproduction method decisions made each year in the US by over 800K cattle producers.  These decisions are influenced by not only what is important for that individual producer but also how that producer gets paid.  For a large % of the US herd, the producers making breeding decisions cannot hear the market signals from downstream. Producers select for calving ease or maternal traits – he doesn’t get paid if those calves grade or not. He’ll never know if those animals grade or not! However there are an increasing number of pockets where coordinated supply chains are connecting end product outcomes with breeding decisions and what traits get selected for. They will sell bulls to “contract growers” and buy all the calves back and feed them out. These are examples in beef of pockets of genetic control to drive outcomes that are aligned with a customer profile.”

Is the lack of focus on end product outcomes just a beef industry thing that’s more structural than anything else? Set aside the highly fragmented nature of beef, and look at highly integrated pork and poultry. Although some advancements have been made in pork tenderness, even pork and poultry producers are generally not selecting genetics primarily based on outcomes like tenderness or flavor because those outcomes are not what producers are incentivized to select for.

Why do we not see livestock genetics decisions prioritize more traits that the end meat eater will see, taste, or feel as is the case in fruits & vegetables or plant based meat?

It always comes back to incentives.

Although there are increasingly pockets of laser like targeting to improve end product outcomes, a lot (most?) of meat and poultry is largely still a commodity. Which means the primary driver is reducing cost of production, so that is where innovation focuses.

Producers will produce what processors will buy…processors will buy what their customers demand which is what they expect consumers to pay for. So, somehow the market signals from downstream to drive upstream genetic decisions that prioritize end product quality improvements are either non-existent (unlikely) or not breaking through the value chain. But innovation and the creation of a competitive advantage doesn’t happen at a value chain level, it happens at a supply chain level.

I recently heard a seasoned elder of the swine business say “the concept of vertical integration is a bit of a myth – you generally just have separate live production and processing capabilities that happen to be owned by the same company, but they aren’t integrated in a way that drives value”. That rings true with what I’ve seen in poultry as well. It also sounds like a compelling opportunity for those integrators doing things differently, doesn’t it?

My hypothesis is that a growing mega trend will be around the opportunity for increased alignment or coordination of beef, pork, and poultry supply chains to leverage the market gap around end product innovation.

Here’s to some Honeycrisp-esque innovation if the meat case.

I’d love to hear counterpoints to this analysis.

  • What do you think?
  • What pockets of genetic improvement that are impacting product outcomes do you see?
  • What are the barriers here? opportunities?

I’m on the Merck Animal Health Ventures team. This newsletter is not representative of anyone’s views but my own. Sometimes it doesn’t even represent my views 🙂


Prime Future Summary

You can get the first 47 editions of Prime Future in 1 PDF here, check it out:

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Food Supply Chain Tech Adoption Curve (link)

If you don’t already follow them, Culterra Capital publishes a lot of great stuff. They recently published a piece looking at tech adoption through the value chain.


Related Prime Future content, ICYMI

Meat eaters don’t care about livestock genetics, could they? (link)

Chances are that when you think of green chilis you think of Hatch, New Mexico. Hatch and green chilis have become synonymous. Yet Hatch green chilis are grown from Arizona seed. But no one knows Curry Farms, the source of 90% of green chili pepper genetics in North America. They know Hatch as the source of all good and perfect pepper flavor.

That’s because chili growers in New Mexico decided about 30 years ago to begin branding peppers, to highlight the region. It worked. This is the power of a marketing strategy to build a brand & differentiate even in a market where differentiation is challenging.

And this “no one downstream from the farmer cares about the genetics source” is s a story that plays out similarly across all segments of ag. Could that be changing?

Turn up the volume on livestock market signals (link)

Since each poultry complex has its own business model, whether a big bird complex producing commodity meat for further processing where efficiency is the name of the game, or a small bird complex producing very tight specs for KFC where consistency & low variability are the name of the game, in theory, each business type should have aligned incentives back to contract growers around the specific metrics that drive profitability for the plant based on their sales channel & customer base.

And yet, curiously, contract growers tend to be paid on the same live performance metrics regardless of the plant’s business model. Why do market signals not break through?

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The Meat Cartel’s Moat

The whiplash inducing effects of the pandemic highlighted the bottleneck in the meat value chain that sends economic ripples from ranches to food retailers: primary processing.

This has raised the question in many circles, how does the industry create more distributed processing capacity?

Before we dig into the complexity around that question, let’s start with the obvious: meat processing is a volume business. The fixed costs associated with building and operating a plant are high, so the more salable pounds that leave the plant, the lower the fixed costs per pound. The pursuit of lowering cost/lb has led to 2 related but distinct dynamics:

  1. Consolidation among companies who own processing capacity, e.g. 85% of beef processing capacity owned by 4 companies, 63% of pork processing capacity owned by 3 companies.
  2. Concentration of capacity, e.g. individual plants are getting larger so an individual plant can represent a meaningful % of total industry capacity, as evidenced by the market swings after the loss of 6% of total beef processing capacity from the Tyson Holcomb plant fire.

Consolidation is the natural economic end game in a mature market, and concentration (scale) is the natural end game in a high fixed cost, commodity business. It is what it is. Normally the system functions efficiently and effectively. Yet in 2020 as plants shut down due to pandemic driven labor shortages, producers were left with nowhere to send market ready animals. The backlog of live animals drove livestock prices down while the shortage of meat drove meat prices up. The problem was that producers had few to no other options.

So, how do we increase processing optionality for producers? What does a more distributed processing industry in the US look like? If the US had more distributed processing capacity, it seems it could not only increase optionality for producers but also for food companies who buy meat, and for more programs/brands, aka more options for value creation from differentiation.

So if the benefits are obvious, why isn’t there more processing capacity outside the large plants / large packers? Why aren’t companies rushing out to build new plants or restart idle plants? Some traps to note…

  • If you want to build a new plant, it requires a huge upfront capital investment.
  • If you want to buy an old plant and upgrade it, it’s either a huge investment to upgrade or older equipment means subpar operations and high costs.
  • Processors make money when they sell the entire carcass, not just the middle meats. Anybody can find a buyer for ribs, but establishing a sales machine and programs to consistently sell the entire carcass is a huge challenge…one that’s been underestimated by almost every producer co-op that bought a plant thinking it can’t be that hard to make those sweet sweet packer profits.
  • Regulatory hurdles.
  • It’s a labor intensive business so access to labor is paramount.
  • Because of all the above plus the volatility of profits in a commodity market, Private Equity tends to prefer higher margin, more predictable businesses in further processing so access to capital (or finding the right capital) can be an issue for upstarts in primary processing.

Before we go further, let’s also anchor in the 3 types of beef processing plants in the US:

  1. Local custom plants processing <50 head/day
  2. Regional plants processing 500-2,000 head/day, e.g. One World Beef or the Missouri Prime Beef Packers new plant soon to open
  3. The Big Plants processing 4,000+ head/day

Though, of course, category 3 is and will be the high volume category, there’s a place for all 3 types in the grand scheme. But how realistic are the hopes of those wanting to see significant expansion of categories 1 & 2?

Custom processing plants had been on a steady decline for years until March 2020 when demand skyrocketed as consumers turned to local cattle producers to fill their freezers with meat. By the summer, most custom processors had no available processing slots through the end of 2021. Is that level of demand sustainable? I’ve heard a lot of people talk about building new small plants, I’ve seen very few take action. It makes me wonder if there isn’t a private equity play to purchase multiple small plants and roll them up into something with a more strategic marketing approach. A robust custom processing ecosystem is a pre-requisite for a robust direct sales ecosystem for producers.

When you think about regional plants, there’s a reason these plants change ownership every 4-6 years as the beef cycle fluctuates and the challenges of operating a beef plant profitably settle in. The thing about regional plants is they simply cannot compete with the big plants on cost, so they have to win on marketing & sales strategy. Creekstone or Caviness are good examples of making this model work. This is where I see opportunity. Cue all the aligned/coordinated/virtually integrated supply chains. A robust regional processing ecosystem is a pre-requisite for a robust aligned supply chain ecosystem.

A marginal option that has been talked about for a long time but has little traction in the US is mobile processing. I’ve heard this is much more common in Australia. The logistics and regulatory challenges seem to be the hurdles to overcome.

Processing is a topic that we kind of avoid talking about with customers/consumers because really, it’s not a fun topic for normal people. Normal people aren’t captivated by the glistening stainless steel of a truly pristine facility, unlike us industry weirdos. And yet, why can’t the how’s & what’s & why’s of processing become a differentiation point?  If marketers have convinced consumers to care about what feed ingredients are in the diet, why aren’t brands capitalizing on the idea of such and such claim about how the animal was harvested? Not to mention, as automation is increasingly incorporated into large plants, doesn’t that create an increasing opening for positioning around the contrast? Weirdly, butchering has become a kind of bougie skill among tech bros and the like. That seems like a trend someone could capitalize on.

So we wind up where we began, that there’s no easy answer to this topic or a single obvious solution. Producers need more options, but the seemingly indestructible moat the big packers have is that processing is a high volume business which is why the industry structure today is what it is. And despite the chicken or the egg dynamic here, I’m bullish that as more non-traditional supply chains pop up, these supply chains will create sufficient business cases to drive new investment in processing optionality.

Questions:

  • What are interesting business models for processing in other countries?
  • What interesting trends do you see in this space?

(Side note: once again, this conversation pertains mostly to the beef industry, somewhat to pork. Because of vertical integration, this isn’t relevant for poultry. It’s just a lot more fun to think about beef and pork because the fragmented industry structure creates so many more opportunities for interesting business models. Although upstarts like Shenandoah Valley Organic and Cooks Ventures are proving there could be alternative models in poultry.)

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5 Ways Land Grants can triumph in the post-COVID agriculture industry

The world is moving fast. Universities seem to move…less fast.


With universities making plans for education delivery in the upcoming academic year, it raises some interesting questions about enrollment, revenue, and sustainability of the current model. 

The question for universities is not how they will serve students this fall. It’s how they will serve their purpose in 5 years. To be frank, will they serve their purpose in 5 years?

Because of their historical importance to the agriculture industry in educating workforce and conducting research, I’m most interested in the future of land grant institutions. I hold degrees from two land grant schools (University of Arizona and Texas A&M) so I’m a product of the system signed into law by President Lincoln in 1862, and a big fan.

But I’m also an advocate that the system needs to change, to evolve alongside the industry and its consumers. Or risk slipping into the oblivion of irrelevance while drowning in bureaucracy.

We in agriculture love to talk about how important agriculture is because “people have to eat”, a self-congratulating notion that the world cannot do without us. Although it is a given that people must eat, it is not a given that people must eat food produced by the current formation of the agriculture industry. The “people have to eat” crowd typically use this to justify the status quo instead of looking at how their customers’s expectations are evolving. As a corollary, I suspect inside the halls of many universities there is some “people have to learn” mentality. <steps off soapbox>


But if you are reading this, chances are you agree that everything about the agriculture industry looks & operates & feels wildly different than it did in 1862 when land grant institutions were established, and that the rate of change is accelerating…resulting in a growing disconnect between universities and the “real world”. You already know the statistics about agtech startup funding & how digital and other technologies are moving into every aspect of the industry. You know that status quo in education is not an option for universities.


Caveat: Of course this loving critique applies in varying degrees to different universities, colleges of ag, departments within a college, etc. And of course I expect multiple Purdue grads to reference Mitch Daniels leadership & results to point to a shining antithesis to my critique, rightfully so.

Why does it matter if colleges of agriculture are maintaining status quo while the industry and consumers rapidly shift?

Let’s play this out in slightly exaggerated fashion:

  • Colleges of Ag move classes move online this fall because of COVID-19. More students realize they can access a similar quality of information in cheaper ways through online learning options. Enrollment drops, revenue drops. 
  • Meanwhile more employers start looking for hustle and skills instead of a piece of paper.  Enrollment drops, revenue drops. 
  • The education offered drifts further from what the marketplace actually needs. Enrollment drops, revenue drops.

Setting aside pressure from COVID-19, new education models like Lambda School are popping up that are designed to reduce  the student’s financial burden while accelerating measurable & marketable skills that deliver a strong ROI to students. Lambda School offers a software programming education, but what happens when that model is applied to meat science or crop science?

Pressure will pile up on traditional education paths in a hurry. But the downward spiral does not have to be! COVID-19 could be the positive catalyst that set land grant universities on a trajectory to play a starring role in shaping the future of the industry. 


Here are 5 ways to increase relevance of land grant schools to industry:

  1. Bridge industry and academia. Create alignment between the most pressing questions being asked in and of the industry and what’s being researched at universities.  Although land grants were started to promote “the liberal and practical education”, many have become increasingly disconnected from the practicalities of the industry. 
  2. Commercialization alignment. I know the c-word violates the academic purist’s sensibilities. And I concede that independent research has merit, but perhaps there is a middle ground that necessarily pulls academic research back to the practical center where more research has commercial applications and influence in the industry. Perhaps its become a little bit too independent in recent decades and lacks the practical perspective. Some land grants now have dedicated roles created to have a point person who can facilitate and bridge the gap between those who might commercialize new technologies and those doing the discovering. And yet, we all know that there is no greater bureaucracy than a university. I know of ONE startup that successfully pulled technology out of a university setting in order to commercialize. I know of a lot of people that have tried, but gave up because well, The Bureaucracy. 
  3. Incorporate tech & entrepreneurship, make it as critical as Ag Econ 101. Texas A&M University and University of Nebraska-Lincoln are doing an exceptional job of fostering entrepreneurship in agriculture through their startup centers. We need more of this. Interestingly, Wayne Farms just announced partnerships with community colleges in Alabama “to develop an apprenticeship program to prepare students for careers in an industry that is advancing technologically and increasingly competing for skilled labor”. Given the $300M investments they recently made in automation for processing plants, their work force needs are changing rapidly. Isn’t that a role we want colleges of ag to fill? To send agronomists, ag educators, meat scientists out in the world without exposure to technology & entrepreneurship is to woefully under-prepare for the future. 
  4. Build meaningful recruitment bridges. The land grants in the midwest do an exceptional job of facilitating relationships between top employers and top students. The rest could handle some improvement in this area. In a world that is largely remote, land grant schools need to think about building recruitment connectivity outside of a regional geography. This is a huge opportunity especially for schools outside of the midwest! What is the new model to connect students with global companies? What is the new model that will allow small startups to work with universities to tap talent without the time suck of interfacing with The Bureaucracy?
  5. Alumni networks that work. Many universities tout their alumni network as a compelling reason to attend, yet  few universities have an alumni network that can meaningfully move the needle, largely because the network isn’t fostered at a high level. We always say it’s a small world in the ag industry, how do we leverage that fact alongside university networks? How can alumni networks help technologists access commercial co-founders, and vice versa? 

Let me repeat, I offer this critique of the current state and ideas for the future state precisely because I believe in the power and potential of education & research to advance the industry. Land grants are one of the American ag industry’s secret super power…if channeled effectively.

Meanwhile the increasing expectation of every organization (private or public) is higher value, lower cost.  

What high value, high impact roles would you like to see colleges of agriculture play in the future?

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Tired of being a price taker? Build a moat.

The livestock & poultry industry has spent decades driving cost out of animal production systems to increase profit. And we’ve done it well. Really well. 

More pounds per animal. Less feed per pound of gain. Least cost feed formulation. Increased efficiency.

And yet, we see record high number of farm bankruptcies, near record low farm income, and volatile train wrecks of milk, live cattle and hog markets the last 6 months. All of which point to revenue challenges in animal agriculture.

It’s time to focus on enabling livestock producers to increase Revenue by getting out of the commodity game that’s ruled the industry, and differentiate.

Let’s look at The Who & How to make it happen. Note this is most pertinent to cattle, dairy, and independent hog producers.

Producers: Stop producing a commodity.

By definition, producers of commodity products are price-takers. The 1,200 lb steer JBS buys from Five Rivers is effectively the same as the 1,200 lb steer JBS buys from Cactus Feeders. And the hams in a combo that JBS sells are effectively the same as the hams in a combo that Tyson sells. The #2 yellow corn from one farmer is the same as #2 yellow corn from another farmer. There’s no distinguishing characteristics, no value added. And as long as this is the game you’re playing, you as a producer are completely subject to the whims of markets. And given the violent whims markets have had lately, why wouldn’t you choose to play a different game?

This essay by Tren Griffin breaks down the way Charlie Munger & Warren Buffet evaluate moats (competitive advantage) as they consider potential investments and evaluate 1) whether the company has a defensible moat, and 2) how sustainable that moat is. “If you have an exclusive supplier of a necessary input, that supplier controls your profits. It is wise to have multiple suppliers of any good or service, at least potentially.” The same is true for demand, if you are selling into one sales channel governed by a commodity market. 

Griffin goes on, “The reality is that the nature of moats is not binary. Moats come in all varieties, from strong to weak. They are always in flux and vary on multiple dimensions. For example, some big moats are more brittle than others. Some moats protect valuable market segments and some do not. In other words, moats can be classified along a spectrum from strong to weak, valuable to non valuable and from big to small.”

Commodity production is a moatless existence governed by the ruthless dictatorship of the commodity market.

Producers: Build a moat. The underlying principle involved in moat creation and maintenance is simple: if you have too much supply of a good or service, price will drop to a point where there is no long-term industry profit above the company’s cost of capital.”

The alternative to producing a commodity, is to differentiate. To create distinct value for the customer. Value drivers can be grouped into 3 buckets: price, speed, or quality. Let’s set price aside since that is, by definition, the commodity game we’re trying to get out of. Which leaves speed and quality. Speed could also be thought of as convenience. Quality could be multiple aspects including the quality of the customer experience in addition to the quality of the product itself.

Another classic framework to think about potential dimensions to drive a moat around is the 4 P’s: price, place, promotion, product. Again, set aside price. Place – where & how does the customer buy the product? Promotion – how does the customer learn about the brand? What do they know about the brand, and the product? Product – how is your product better in some way than every other producers product? How it’s raised? How it’s packaged? How it’s processed? So many options.

Founders: Put tech to work on revenue. Its time for a new wave of startups focused on increasing revenue and helping farmers claw their way out of the commodity cycle; this is where animal ag and tech should be colliding. Technology can be a massive point of leverage for producers building moats to increase revenue. 

Look at the FarmTech Map by Seana Day of Better Food Ventures. The vast majority of startups have value propositions built around driving cost out of the system through some means of increased efficiency. I recently wrote about the lag of Precision Farming (health, nutrition, etc) in animal agriculture compared with crop production. But maybe that lag isn’t a bad thing. Precision technologies are about increasing efficiencies to the nth degree in order to ultimately reduce cost. But how much can precision production reduce cost in animal systems?  Are we 5% away from a current finite minimum? 3%? Who knows. But we can chase the 1-4% cost reduction as a means to increase profit, to eke out a smidge more cost from the system in order to stay alive another day in the commodity game. OR, we can chase a 10-30% increase in revenue to increase profit by building differentiation into the business along any number of dimensions.

Here are a few non-ag examples of tech startups enabling revenue:

  • Shopify – giving small businesses an online store front and a way to reach more customers.
  • Stripe – enabling online payments so businesses (of all size) can do more sales / safer ecommerce transactions.
  • Stitch Fix – while the rest of retail was being eaten by Amazon, Stitch Fix was exploding from startup to IPO by giving its customers an experience, a better way to buy, and in the process helping fashion brands sell more product. This product wasn’t for the masses, it was for the women who wanted to dress well without the hassle of shopping and styling. 

Here are a few specific ways tech startups can support the moat constructing producer:

  1.  Low cost, on farm processing
  2. Marketing mechanisms to reach consumers directly
  3. Tap into coordinated supply chains, like Agri Beef’s Snake River Farms brand
  4. Traceability & transparency claims in the supply chain (link the mechanism to facilitate this with the right pricing model & value capture through the supply chain – an equation that hasn’t been solved yet)

Not all of these buckets have market-ready tech solutions, but I hope they will soon because the point is that there’s a massive opportunity for startups to apply technology to REVENUE problems for animal producers, and not just value propositions designed to help producers reduce cost. 

Here’s the caveat: This requires a 180* flip of the mental model, for both producers and founders. For producers accustomed to winning the commodity game by cost reduction and scale, it’s wildly different to evaluate a value proposition designed to increase producers’ revenue. What’s the control to compare against? This creates an additional challenge for founders selling a revenue based value proposition.

Animal agriculture has a unique opportunity for differentiation in a way that the majority of crop production does not. Meat and poultry aren’t ingredients, they are the main event of (most) meals! That central-to-the-plate distinction translates to margin opportunity for producers that can adapt their systems and processes to differentiated market opportunities. 

Tired of being a price taker? Build a moat.

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Agriculture’s next AI: Augmenting Innovation

“For startups, 2010 – 2020 was about disrupting, 2020 – 2030 will be about augmenting. Its saying here’s what you as incumbents do well, here’s what we as tech startups do well, here’s how we combine the two to provide a better customer experience.”

This is a quote from a financial technology (fintech) founder talking about how fintech startups have/will interact with incumbent banks. 

My bet is that we can apply that quote to the ag industry for the next decade also.

Over the last several years Farmers Business Network and Indigo Ag collectively raised over $1 billion dollars to “disrupt” ag incumbents. There’s so much Silicon Valley lore wrapped in the word “disrupt”, which can lead to the assumption that to build a big business you have to do what Uber did to the taxi industry. 

Upend, eliminate, replace.

But disruption in the traditional sense is not always necessary to drive innovation and create new value. Look at Visa’s recent $5B acquisition of Plaid, a financial infrastructure software – think of it as the pipes that connect our accounts where we want them to, or the pipes that connect incumbent financial institutions with fintech startups. Plaid didn’t disrupt the financial services industry by eliminating, they’re actually enabling growth of the pie.

This idea of innovating with and for incumbents makes even more sense when you look at the agriculture industry. Agribusinesses have grown and consolidated because these businesses are often enormously capital intensive and operate in wildly volatile markets so scale is a prerequisite. They may be hated by some almost as much as the taxi industry was, but there are legitimate reasons these companies have evolved as they have.

With that pragmatism in mind, what could the next 10 years of ag innovation that improves existing supply chains look like? 

On the row crop side, look at AgVend and Bushel, two startups with the express objective to AUGMENT the ag incumbents’ offerings. Ag input retailers looking to add an online buying channel? AgVend. Elevators looking to digitize communication processes with farmers? Bushel. 

Not disrupt, improve. 

Not eliminate, augment.

Or look at animal protein. Over the last several years a lot of money has been raised and invested in plant based or cell cultured meat companies. But recently, it seems there is increasing attention being turned to innovation that will help players throughout the supply chain improve the process of raising, harvesting, distributing and marketing animal protein.

What’s interesting about this type of worldview is that it unlocks….the world.

Not only will this likely lead to more innovation funded in more realistic ways (meaning, more realistic expectations on company outcomes) but it should also lead to better outcomes for customers and ultimately for consumers whether in the form of improved quality, traceability, etc.

But the really exciting thing is to think about how this type of approach grows the pie, grows the ecosystem.

Here’s an example from the world of insurance technology (insurtech) and fitness tech (umm FitTech?).

Axa Singapore is an online insurance company offering life and health insurance. ClassPass is a global company connecting ClassPass members to sign up for fitness classes across an entire network of fitness providers. (It’s Airbnb but for unused capacity in a fitness class instead of a spare bedroom…and its a genius customer experience, 10/10 recommend.) These two seemingly disparate companies just announced a partnership that would give Axa customers access to ClassPass studios. Absent ClassPass’s network of all kinds of fitness studios, how would you give a customer access to so many studios and options in one shot? You wouldn’t. The rationale of the partnership isn’t what’s interesting here, its the fact that a technology enabled businesses can aggregate market players in unique ways that unlock entirely new value. Which unlocks new alignments among companies to create new value.

This is an unrelated-to-ag example of how technology begets new business models which can beget new partnerships. And that’s what’s exciting about the potential of a decade defined by innovation that improves the agriculture ecosystem.

We’ll see more of this across all segments of agriculture as new business models are unlocked, now connectivity established among market segments, and more value chains align virtually. 

  • What are some non-ag examples you’ve seen? 
  • What are some problems in animal agriculture where you’d like to see an augmented approach to innovation?

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