Growth Marketing Insights by Head of Growth Marketing at Slack
There are millions of companies globally trying to figure out how to reach and satisfy more customers. This talk by marketing expert Rachel Hepworth, who is the head of Growth Marketing at the billion-dollar company Slack, helps you understand what your business should focus on.
## Overview of Growth Marketing Insights from Rachel Hepworth, Slack
Rachel is a very experienced marketer with a background spanning several high-growth startups, including Slack, LinkedIn and Climate Corp that sold to Monsanto for a little over a billion dollars about five years ago.
Here is what we learned from her talk. You can watch it in full in the video below this digest.
## Business Model Fits
Rachel set out very clearly how to think about <u>some key business model fits and how to find those fits, how to think about growth, the key growth tactics and strategies and measure them</u>.
People talk a lot about **product market fit**. It sounds like a really easy concept, but one that’s really easy to forget when you’re in the midst of trying to build your company and your idea is fantastic. Rachel said she made this mistake at Climate Corp, where the founders had a vision: they <u>built up the product and the company before asking anybody if they actually wanted that product</u>. <u>The hard reality was nobody wanted that product because they didn’t ask them. So they scaled before finding product-market fit, which was really painful</u>.
How is product market fit defined? Rachel likes Marc Andreessen’s definition, who basically says:
> “Product market fit means being a good market with a product that can satisfy that market.”
So if you break this down, what does this mean? **Being in a good market means being in a market that is large enough to sustain your business.** You can envision a world, where you have fantastic product market fit and your market is one person. Unless that person is Richard Branson and he’s going to buy your spacecraft or whatever it is, it’s probably not a good idea to build a company off of it.
And then a **product that can satisfy that market is obviously a product that satisfies a particular need that the market has, but the key thing** is that **<u>product market fit is not the only fit that matters</u>** and this is something that’s often overlooked.
Rachel elaborated on a very useful framework that Brian Balfour recently came up with. He called it the **market-product-channel model** fit and it’s about how **you have to master all of these fits if you’re going to have a company that is successful and grows**.
If one breaks it down, it looks like follows:
1. The first is **the market,** i.e. who you are selling to and this is going to define your opportunity. Its size drives how big your company can grow. It’s not always easy because defining the market correctly is not always simple. In a classic example that people quote is Uber, where the market was taxis, but it’s actually not taxis, it’s basically _anything that needs to move from point A to point B_. In a market, one needs to think about who are _the people, what are the challenges that they’re trying to solve, do they know they have those challenges_ (because it makes a difference if they realise they have them or not) and then _do they care about them_ (because sometimes they have a challenge, but they just don’t care about it that much so it’s still not a particularly good market to enter).
2. **Product** is obviously what you’re selling and then product-market fit is _if you are selling something that solves a real need of the market_.
3. The next fit is **channel** – it’s about _where you’re selling it_. This can be _online ads, this can be field sales, this could be a retail store_ – how are you getting that product to the market. Balfour’s insight is really that **you can’t change the channel – you can only optimise your product to fit a channel.**
- So as an example of this, if you have a _high-volume transactional, quick time-to-value product_ – a good example is travel like Priceline – _your channel can be online ads_ because people know what it is, they understand the need, they search for it, they buy it, they get the value from it right away, it works really well. If you have _a low volume product that needs a lot of education online_, _ads is not going to work as well_ because people _don’t trust you enough to purchase the product_. If you have a product that is _inherently viral, you can use social._ So LinkedIn works really well. <u style="font-size: 14px;">Priceline strategy if we’re going to go viral and that’s how we’re going to scale is clearly not going to work that well because the product isn’t built for that channel</u>.
- And then model is inherently about **how much you’re selling it for**. So do you have a _high-cost/low-volume model_, do you have a _low-cost/high-volume model_ and that’s going to influence **the channel that you sell in**. Because once again a <u>high-volume/low-cost model will work really well in ads, but something that is a million dollars – good luck getting somebody to buy it online</u>, <u>without speaking to a human being</u>! You probably need something like _field sales consultative selling_. That’s _the classic enterprise SAAS model._
- And **you can’t mix these up, so a classic mistake people have made is thinking that they have built a better mousetrap and now they can do an SEM ad for something that cost five hundred thousand dollars because their product is so amazing and people are going to buy and it’s the new way of working**. This is not reality and Rachel tells us from her Slack experience that it was an evolution they had to go through. <u style="font-size: 14px;">Slack now has a large field sales component.</u>
- And then finally market-model fit. So again if your model is low-cost/high-volume and your market is five people, you fundamentally have a problem. So you have to make sure that your market and model fits. And the key is that all of these things need to work together for your business to scale successfully.
Rachel gave a great illustration of a real-life example of what happens when this goes wrong. A classic example of that was Climate Corp, which actually had a lot of these fits correct, but **\*what they got wrong fundamentally was the marke**t\* and what that means is there was a **domino effect where everything else fails when one of your assumptions turns out to be untrue**.
Climate Corp, originally called Weather Bill and rebranded to sound more adult and sophisticated, was built on this concept that _weather impacts 80 percent of businesses in the world._ So if you’re a ski resort and it’s too warm or you’re NASCAR and it rains, or you’re a grocery store and there’s a snowstorm and you can’t get your trucks through on time, there’s real financial impact from the weather and there’s actually no way to mitigate that risk at that time.
You could swap billion-dollar derivatives and that was about it, which is obviously not super-useful for most companies. So Climate Corp’s founder said:
> “wouldn’t it be a great idea if we build a weather insurance product that was highly customisable,
> you can edit it online, and you can buy easy contracts in just a few minutes to protect against weather risk, just like you do flood insurance, car insurance, whatever it may be and then you could have more predictable revenue. Market is huge because it’s 80 percent of all businesses, the risk is clear, financial impact is obvious, so we clearly have a winner!”
And the answer was:
> “we do not have a winner”!
The reason for that is that nobody understands weather risk. The founders did because they spent years researching it, but if you ask your local bike shop, if they suffer if there’s one inch of rain or two inches of rain and what are the dates that that rain might fall, how much money they’re going to lose what if it’s super-hot, do they get fewer bike rentals on that day? They simple don’t know!
So a highly customized model just meant many opportunities to select the wrong inputs for something you’ve never heard about before. And then **hand over money to prevent losing money versus to make money**. All things that make it particularly unattractive to a small business owner, but Climate Corp didn’t realise this at the time. They thought they were brilliant.
> <u>This market that we envisioned, this very large market did not exist, it wasn’t real.</u> **There wasn’t market in here that was real that we eventually did figure out and that is it’s a particular industry: agriculture!** So who has weather risk and they really know it right deep in their bones – it’s <u>farmers</u>! What specifically is the agriculture that has the most risk in terms of revenue – it’s corn and soybean because it turns out that’s 80 percent of farming and they have very similar risks. Who’s willing to spend a lot of money to protect their crops? It’s farmers. So the market was there, but it was a different one than we originally envisioned and it also is very different from the thousands of SMBs that we pictured.
So what happened? So Climate Corp got their market wrong and because they got their market wrong, they got their product wrong – they built a product that could be customised by anybody online, highly iterable, but not specific so you had to understand your own risk. They didn’t tell you what it was. So **the product market fit wasn’t there**, Climate Corp ended up creating a **correct product market fit by deeply understanding the risk that the farmers had and then serving enough to them.** So instead of saying “hey corn farmer, you got a lot of risk, go buy a contract, figure it out”, they said:
> “Hey we know **that when your corn is pollinating, if there’s low heat, it won’t pollinate, you’ll lose money**. Here is a **corn pollination heat stress – all we need to know is where is your farm located and how many acres do you have** (which is something that people do have a great deal of confidence in), **so you’ve removed that risk.**”
Because they had the market wrong, they had their channels wrong. So the founders came from Google (this was about 10 years ago) and they believed the world was going to be transformed by Adwords and all businesses would be sold through Adwords. As you know, they weren’t totally wrong, but they were a little bit wrong. Turns out that weather insurance does not work to be sold through Adwords and there are a couple reasons why:
1. didn’t exist before so nobody’s searching for it,
2. people don’t understand it. They **land on a website and you’re asking you to give a lot of money to a company you’ve never heard of.**
<u>None of this is good for an Adwords channel</u> and again because the product was very complex and the time to value was long, ads didn’t work very well. **What does work is field sales**. In the beginning they did online ads – really poor, <u>they eventually turned to field sales.</u>
As a result, Climate Corp had their model wrong – their model was a mass volume of cheap daily contracts. It turns out **it should have been a couple of million dollar contracts a month**. <u>And again your channel is going to change based on your model </u>and then finally because our market was wrong, we didn’t realise that we had to have really expensive contracts. **What they did is they changed their channel sales model through agents.** **It’s expensive, highly consultative**. Also, agriculture is a very relationship-based market. So you’ve got a farmer – he buys insurance from his crop insurance partner, his father bought insurance through that crop insurance agent’s father and on and on and on. It’s really amazing, it goes back generations, they certainly don’t trust a start-up company from San Francisco. They needed to go through trusted agents and again you only know this **by deeply knowing your market model**. They went from <u>high-volume/low-cost to low-volume/high-cost</u> and again it all reflects the market of corn and soybean farmers.
So how to figure this out without spending a year and a half and a lot of money throwing things at the wall and failing and thinking are going to go out of business? Rachel’s answer is **a customer development model which Steve Blank has evangelised over the years**. And the <u>theory of customer development is that this is really you can apply the scientific method to building up your business:</u>
> **So you have a hypothesis, you don’t go all in, you test it, you prove it, you either iterate, because it didn’t work or you invest more deeply, which is a fundamental mistake that they made in the beginning of Climate Corp.**
The first two stages of customer development are really about building out those four fits that Balfour talked about a lot and the second are about scaling your business. 2. - So **customer discovery** is about **understanding the problem your customer has and validating that it’s real**.
- **Customer validation is validating that you can sell to them** so not only do they need to have a problem – **they need to be willing to purchase a solution**.
- Then **company creation is about creating a scalable process to keep selling**.
- And then **company building** is about **operationalising that process so you can scale.**
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