Enterprise User Acquisition & Consumer User Retention

in ,
In thinking about a product's user acquisition, the nice thing about enterprise products is that when you get one customer you get a lot of users. You just need to sell one CIO on your product and you’ll quickly pick up thousands of users.

The not so nice thing about enterprise is that you’re going to lose about 20% of those users every year due to employee turnover. Your entire user base is going to turn over every five years. Acquisition scales in enterprise. Retention does not.

The not so nice about consumer products is that, unlike enterprise, you have to acquire users one by one. You don’t have the scalable distribution channel that you have with enterprise. In consumer, user acquisition is expensive and really difficult.

But the nice about consumer products is that once you get users you can keep them forever (you don’t have the turnover problem).

It’s interesting to note that some companies have figured out how to take the good from enterprise and the good from consumer.

One example is eShares, an enterprise product that digitizes paper stock certificates and options and warrants and rolls them up into an easy to use cap table to help startups and startup employees manage their equity. Employees generally sign up for the service just before their start date when they receive an option grant from their new company (to sign the option grant employees need an eShares account). If the employee leaves the company they keep their account open to manage their equity and they can add subsequent option grants from subsequent companies to keep all their documents in one place.

eShares is brilliant in that they have morphed an enterprise product into a consumer product and have reaped the benefits of both models. This is a super powerful way to quickly build a huge set of engaged users and is a great way to get ahead and build a platform rather than just a useful app. I’m sure eShares investors are taking note.

Sharing & The Next Generation of Enterprise Software

in ,

Salesforce.com runs the CRM system (Customer Relationship Management) for a huge number of companies — at last check more than 150,000. It’s interesting to think of the number of duplicate records that must exist in Salesforce. As an example, there are probably hundreds of vendors that, as we speak, are trying to sell their product into Microsoft. Each of these vendors has a record (or opportunity) titled, “Microsoft” in their instance of Salesforce. In many situations, such as sales to a large software company like Microsoft, this redundancy makes sense. Most of the vendors selling to Microsoft are selling very different products to very different stakeholders within the company. So it's logical to have a different record in Salesforce for each sales opportunity.

But for narrow industries like real estate, this redundancy makes no sense at all. As we speak, there are at least ten brokers trying to rent space on the 11th floor of 600 Park Avenue in New York. If all of these brokers use Salesforce.com as their CRM that means there are ten records for only one sales opportunity. Ten brokers would be entering information on the same opportunity in ten different places. This is silly. But this is the way traditional, silo'ed CRM works.

Real estate brokers would benefit immensely from shared records in Salesforce where they all could view the same profile for the same sales opportunity. The opportunity would include the most up to date information on availability, square footage, price per square foot, etc. This would bring 10x more value to Salesforce's customers.

Now consider what's happening in healthcare. The average Medicare patient sees seven providers per year; if the patient has a chronic condition it can be many more than that. These seven providers don’t work together. They’re employed by different organizations, work in different locations and likely use different medical record software. This means that there are seven separate records in seven different places containing seven separate sets of information for only one patient. This isn't just wasteful, it makes it impossible for providers to work together to optimize patient care.

Real estate, healthcare and many other industries need software that doesn't simply get the same job done seven or ten times across disparate organizations but instead brings all of the stakeholders together to use a single, shared record.

Of course there are a number of challenges associated with building this type of networked software -- not the least of which is getting disparate stakeholders to agree to share important information with one another. But I'd guess that a big segment of the next generation of multi-billion enterprise startups will build software around sharing and networks as opposed to silos and features.

Enterprise Network Effects & User Retention

in ,

LinkedIn-Chart A16z had a good podcast the other day talking about startups with network effects and it got me thinking about network effects in enterprise businesses. A product has network effects when the product becomes more valuable as more people use it. Your fax machine was more valuable when more people bought fax machines — you could fax more people. Facebook is more valuable when more of your friends use it -- you can view more photos of your friends.

Businesses with network effects scale exponentially. The reason is that their users effectively become extensions of their sales and marketing team. A Facebook user has an inherent incentive to get other people to use the product. This is a beautiful way to grow and scale a business.

In order to maintain growth, though, these businesses need to ensure that they're retaining the users they acquire -- which is an entirely different challenge. This is relatively easy in B2C because, in theory, the user can be part of the network forever. This is much harder in B2B because users — employees — turnover at the rate of ~20% per year (people get terminated and quit). So in theory, the entire network turns over every five years. And while it's true that often an employee that leaves is replaced by another this kind of churn is not a great way to scale.

That said, some B2B network effect businesses have found ways to retain some users after they change jobs. LinkedIn, Evernote, Wunderlist, Dropbox are a few that come to mind. Not only do these businesses retain their users as they move from job to job, these users also drive new customer acquisition by promoting the product within their new companies (what I refer to as B2E2B). These businesses are seeing network effects drive new users, retention of those users when they move to a new job, and new sales driven by those employees that evangelize the product in their new companies. This how an enterprise business can grow like WhatsApp.

But this isn't easy. Enterprises are concerned about their employees using the same software as they move from company to company -- e.g. they don't want an employee taking their Evernote notes on to their next company. And the product customizations and switching costs may be so high in some cases that the value of the product doesn't translate from one company to another.

The challenges are significant; but the businesses that build an enterprise product with 1.) inherent network effects to drive new users and 2.) the ability for those users to stay engaged with the product as they move from job to job will be the networks that win. 

A List Of Health Tech Startups

in ,

For a while now I've been keeping a running list of the health technology startups I come across sorted by the category they compete in. There are about 100 companies on the list.  I've moved the list over to an open Hackpad that you can find here. Hopefully this list will help people better understand what's happening in the industry, research competitors and even discover new investment and job opportunities.

I've left the Hackpad open so that anyone can add a company or category. Please add any that I've missed (I'm sure there are a lot).

As we move to the "Post-EHR" world where innovation is led by patient and provider needs as opposed to government mandates, I'm sure we'll see even more startups and categories emerge -- so I expect this list to get a lot longer.

The Next Big Thing In Healthcare Technology Will Start Out Looking Really Small

in , , ,

Fred Wilson had a great post last week titled, Bootstrap Your Network With A High Value Use Case. He points out how Waze's initial value proposition was to help drivers that like to speed identify speed traps. But it of course quickly expanded way beyond that and now provides lots more value to lots more drivers. It has become mainstream. Same thing with Snapchat -- it started out as a "sexting" app and has now expanded to more applications and is used by the mainstream. This is sometimes called the "bowling ball strategy" in new product development where you focus on knocking down the first pin by being very focused on one segment and one application and then you gradually knock down more pins (segments & applications) over time until your product works for the mainstream. The idea is to find a narrow niche that loves what you're doing, refine the product and expand from there.

Related to healthcare, this blog has talked a lot about centralizing patient data with the patient, as opposed to multiple medical records across multiple healthcare providers. Most would agree we need to get to this place but the path to getting there isn't terribly clear. Patients aren't clamoring for it yet and there will likely be some resistance from software vendors and healthcare providers as it flies in the face of the strategy of owning the data and, by extension, the patient.

My guess is the way that we're going to get there is similar to the way that Waze built a massive maps business and Snapchat built a massive photo sharing business -- it's going to start with a small niche.

I can see an application that has built a network of highly engaged users with a very specific and highly sensitive medical condition that shares important clinical information back and forth between provider and patient becoming the starting point for consumer-driven patient data. Big software vendors will likely ignore this application because it impacts a small niche and the patients will be highly engaged because their affliction is such an important part of their lives. Once the product is refined it can be extended to other patient segments with other medical conditions and it'll grow from there.

As Chris Dixon likes to say, "the next big thing will start out looking like a toy".

In this case, the next big thing in healthcare technology will start out looking really small: a simple tool that serves a very small, but highly engaged set of patients.

How Much Should A Startup Charge Its Early Customers?

in , ,

Last week I had a conversation with a founder about how much they should charge their first few customers. Cost plus a fee? Slightly below the incumbent? The same as the incumbent? Some fraction of the estimated ROI? My answer to this question is pretty simple: charge as much as you can get, charge whatever the market will bear.

At an early stage, a founder's time and focus is the firm's number one asset. Any compromises made in getting less than the absolute maximum amount that a client will pay creates an unrecoverable opportunity cost. Early-stage companies can't afford to not charge what the market will bear.

Pushing for the max more has other benefits. It helps to determine the product's real worth and the real challenges the client is having in buying the product. When pricing makes buying too easy you don't get a good sense of the challenges you'll encounter down the road, you don't get the real story. It also generates a level of respect from the client (we've all heard the stories of people appreciating things more because they cost more regardless of the true value).

Finally, often a startup's instinct will be to charge less because it'll move the deal along faster. This is a myth. The opposite is true. The larger the deal the more attention it will get, the more senior people will need to be involved and it'll move faster as a result.

This post isn't meant to say that you shouldn't negotiate, do a pilot and be flexible where and when it makes sense. You should do all of that. But in lieu of a defined market price, charge a simple one -- the absolute most that you can get.

The Interface Layer & The New Economy

in , ,

I've been thinking a lot about this notion of the "interface layer" in web services and how it's changing the economy and the way money flows. The concept of the "interface layer" is pretty simple. It says that the old economy was about building tangible infrastructure -- cars, buildings, stores, etc. And the new economy is about building really slick and beautiful and easy to use web services (interfaces) on top of that infrastructure;AirBnB for lodging, Uber for ride sharing, OpenTable for restaurants, Expedia for planes, etc. These companies don't own buildings, cars, restaurants or planes, but they make a lot of money by allowing consumers to easily access these things. It's no longer about building infrastructure, it's now about building beautiful, slick, mobile, easy to use 'layers'.

One of the big complaints about these layers (or interfaces) is that many believe that they commodotize the underlying asset. Uber users don't really care which cab company the driver is a part of, they just want the cheapest ride that gets them from point A to point B. This detachment from the brand drives down the cost of the ride and drives down the income that goes to the driver. Uber is commodotizing drivers. And drivers need to think really hard about how they're going to separate themselves from the pack if they want to continue to charge a premium.

Uber's layer is winning the taxi space.

But with the increasing use of mobile and the decreasing use of the desktop web, mobile is quickly becoming a platform on its own. And soon, instead of Uber being the 'commoditizer', Apple's iPhone or Google's Android could easily commodotize Uber.

Let me explain. Today, if I want a ride somewhere I go to Uber or Lyft or Sidecar or some other app to book a ride. This is a bit clunky in that it's hard to know which of the services has the best option for me based on the time of day and where I want to go.  I have to download all of the ride sharing apps and scroll through them to find the best deal.

Of course I'm not the only one that's annoyed by this. Very soon (if not already) we can expect that there will be services that will aggregate all of the top ride sharing apps into one so I can pick the best option for me (just like Kayak does for plane tickets).

This would be really bad for Uber. Now they're the one getting commoditized. 

But when mobile is a platform, it gets much worse.

Apple and Google could easily add their own layer on top of these aggregation layers. At some point soon, instead of going to the Uber or Lyft app, I could just open up Siri and say, "give me a ride to SoHo". And Apple will scan all of the ride sharing apps or ride sharing aggregators (even if I haven't downloaded them from the App Store) and deliver the best result. This is absolutely what Siri wants to become -- the entry point to the web.

In an extreme example, I could tell Siri, "take me to my friend's apartment and let's stop somewhere to pick up a bottle of wine that pairs well with Italian food." Siri then decides which ride sharing app, which business directory app, and which wine app to use to bring me the best experience.

Apple could easily cut a deal with a ride sharing aggregator, Yelp and HelloVino (a wine discovery app) and take a fee from each of them. In this case, not only is the Uber driver getting commodotized, so is Uber and so is the ride sharing aggregator.

This is an important issue for any web based service to think about. The new economy might be less about the battle for the most beautiful interface and more about the service that can get closest to the user. And it's beginning to look like platforms rather than interfaces might win the war.

How Mobile Is Impacting Facebook & Healthcare Strategy

in , ,

Many people used to believe that Facebook was an extremely defensible business and that it would be almost impossible for another social network to compete. It has grown to an enormous scale with massive troves of data and more than 1.5 billion monthly users. The thinking around their defensibility was that because all of your friends and photos and updates are already stored on Facebook, it would be tedious and unnecessary to switch to another social network. Everything you need is there. Why go somewhere else?

Facebook did have quite a bit of defensibility back when the predominant access point to the service was the desktop web. Moving your data to a new social network was painful and impractical. But now that the main access point to social is our mobile phone (more than half of Facebook’s traffic comes through mobile) things have changed dramatically.

We now carry around all of the key elements of a social network on our cell phones. Our phones carry our location, our photos and our address book and allow us to message anyone at no cost from anywhere in the world. With the click of the touchscreen we can view and connect with all of our friends on a new social network and instantly recreate our social graph. We can take a photo and instantly send it to a multiple social networks. We can easily join different social networks with different groups of friends focused around different needs. The friction of leaving Facebook and joining a new network has disappeared. This wasn’t possible with the desktop web, or it was at least much more difficult.

As a result of the increasing use of mobile, we’ve seen lots of new social networks emerge (there are now dozens of social networking apps with 1 million+ downloads in Apple’s app store, including Kik, WhatsApp, Tumblr, Google+, Instagram, Snapchat and many others).

This increased use of mobile has reduced the friction of launching a new social network to near zero and as a result has shifted ownership of data away from the network and back to the individual. Trying to own the data and lock-in the consumer is no longer a viable strategy.

Facebook is well aware of this and has adjusted by rapidly buying up many of these new networks. We’ll likely see more acquisitions like these in the months to come.

_____________________________

Over the last several years, large healthcare provider organizations and healthcare software vendors have been employing a similar strategy to that of Facebook. Health systems have been growing by buying up ambulatory, community-based sites and employing doctors to build out giant systems that can offer clinical services across the entire continuum of care giving the patient no reason to go anywhere else. In parallel, providers and software vendors have been creating a single patient record (including blood tests, physician notes, imaging and other data) that flows across the entire provider organization and can be easily shared with providers across the system. This avoids all of the classic frustration associated with having to fax your x-rays from one provider to another. Everything exists on the web in one single record. Providers then roll out a patient-facing portal that lays across the patient record where the patient can access all of their data (mostly through the desktop web).

The strategy is simple. Providers are telling the patient to 1.) stay with us because we do everything and you don’t need to go anywhere else and 2.) you can’t go anywhere else because we have all of your data.

But as we saw with Facebook, now that a consumer’s primary entry point to the web is their mobile phone, this strategy has some flaws.

Not only do our phones enable messaging and carry our location and address book and photos, they can also carry data on our movement, our sleep, our heart-rate, the prescriptions we’re taking, our body temperature and, with the use of implanted devices, much, much more. This real-time data that we carry on our phones is arguably more valuable than the data stored in our clinician’s patient record that only gets refreshed while we’re sitting in the examination room.

Increasingly, providers will own some patient data but the patient will own more data and better data.

Like Facebook, healthcare providers are trying lock in their customer by owning the data. But the increasing use of mobile has changed the game. Just like social network users can effortlessly syndicate their own data out to multiple social networks, a patient will be able to syndicate their real-time clinically relevant data out to multiple providers, regardless of which system they’re associated with.

Mobile has put patients in the driver’s seat.

Meanwhile, with the emergence of home care and tele-health and urgent care clinics and apps and implants that manage more serious and chronic conditions, in many ways healthcare has actually become more fragmented. The traditional providers may be consolidating, but new players are creating new channels for care and causing more fragmentation across the industry. Where and when and how care is delivered is being completely reshaped.

But unlike Facebook, large healthcare providers can’t buy their way out of this conundrum. First, because they don’t have enough cash (most are non-profits with microscopic profit margins) and second because healthcare is local. Health systems are no longer just competing with the hospital across the street, they’re competing with web services that are available to the global market.

As a result, large provider organizations are going to have to consider new ways of providing value and will have to select which segments of patients they want to serve.

In short, they can’t own the patient because they can’t own the data.

The idea of locking the patient into one network of providers was always a bit flimsy. But the strategy was somewhat understandable. A lot of this was driven by the trend towards value-based payments and the convenience of 'owning' a patient under that model.

But the lessons of Facebook are clear. Locking up the data is not a path to success.

Social networks and healthcare providers must focus on what they do best and focus on serving the consumer they want to serve and abandon their attempts to win by owning data that isn't theirs to own.

The Death Of Enterprise Sales

in ,

A few weeks ago I was chatting with a guy that specializes in something called "disruption consulting". Basically he goes into mature companies and works with their management teams to help them think through how they would disrupt their own business. This is a healthy exercise for large, successful organizations and something individuals ought to think about with regard to their own company and -- more importantly -- their own role in their own company. This got me thinking about enterprise SaaS sales and the theory that salespeople have become less of a necessity in this new world. As I've written in the past I actually think the opposite is true. Sales is growing, not shrinking, in importance. That said, here are some of the trends that I've seen out there that are giving the skeptics some ammunition:

  1. Micro budgets. With the 'consumerization' of enterprise software, lots of companies are letting their employees directly buy and expense their own productivity tools circumventing the traditional buying process. 
  2. Pay-per-use contracts. Traditionally enterprise salespeople have sold large buckets of access to their software -- e.g. Salesforce has negotiable pricing tiers based on the number of licenses purchased. Companies like Slack and others are getting away from this model and are pricing based on who actually uses the system. At the end of a month, they look at how many people logged-in and then send an invoice accordingly. This pushes the revenue responsibility pendulum far away from sales and much closer to product.
  3. Freemium enterprise software. This is a model where software can be accessed for free by an individual employee and an enterprise deal gets triggered at some critical mass of employee usage (e.g. B2E2B).
  4. Standardized contracts. More enterprise software companies are creating click-through agreements that can't be negotiated by the buyer. And there does seem to be a very slow but steady move towards more consistency across companies in what they want a contract to look like. Corporate attorneys will make this really difficult, but the idea does seem to be gaining momentum. 
  5. Data in the cloud. The advent of the cloud has made the old-fashioned, big, CIO-based sale a bit less prominent. Cloud-based software programs require much less of an implementation burden and thus much less of the need to sell the bureaucratic IT department. That said, much of the work these teams do has moved towards integration into the cloud, which still requires a hefty sales process.

There's no doubt that the landscape in enterprise sales has changed. And all of these trends are worth watching. But what the skeptics miss is that this is nothing new. Buyers and sellers always been trying to minimize the cost of their transactions. These are just new variations of that process. It simply means that to stay relevant enterprise salespeople must continue to shift their energy towards larger, more complex deals and higher value sales activity.

When real estate listings became available to everyone on the web, real estate brokers didn't disappear (in fact, there are more of them now). They simply started focusing on higher value activity. Instead of their core asset being access to listings, their new asset is helping someone navigate the process of buying a home (over half of home buyers find their home online, but 90% still use a broker to make the purchase).

Similarly, when employees begin buying their own software, enterprise sales teams will just shift their activity towards more strategic, higher value deals. They'll focus on the things that can't be bought or implemented by a single employee.

In short, enterprise sales drives new and incremental growth. It's the hard stuff. The easy stuff gets automated. And diffusion of the greatest innovations and the highest value deals can't be automated.

Companies that aren't growing their enterprise sales teams are likely either very early-stage and don't have enough product to sell, or they're later stage and aren't trying hard enough.

Disruption & Access

in , , ,

I came across thIs chart the other day on Twitter showing camera production from 1933 through 2014. Camera Sales

This chart is great because it perfectly illustrates the good and bad parts of disruption. Better, more portable cameras destroyed the incumbents (Polaroid, etc.). But at the same time these innovations massively increased access to and use of cameras (this is the point that most people miss). It's estimated that there were more photos taken in the year 2014 than there were in all of the years prior to 2014. That's incredible.

The fact is that while disruption can cause some short term pain it almost always results in a greater good for those in the industry. More people travel because of Expedia. More people go out to dinner because of Open Table. More people listen to music because of Spotify. More people get a ride because of Uber. And on and on.

This is perfectly analogous to what needs to happen in healthcare and education. We need the incumbent analogs to go away and the innovators to take over and give access to a lot more people at a much lower cost. We just need the regulators to get out of the way and allow it to happen.

Some Thoughts On Apple & Software For Cars

in ,

The tech world is buzzing about the rumor that Apple's plans to build a car. They bought Beats a while back because they needed talent that knows how to make things that people will wear (e.g. a watch). And now they're hiring talent from Tesla that knows how to build cars and software for cars. Benedict Evans had a great post on this topic on Saturday where he offered lots of ideas on the risks and benefits of such a venture. Please go read it if you're interested in this kind of stuff.

I wanted to point out two key points he made in the post here.  From the post:

...can Apple create new value in the industry in the way that it did in phones?  With the iPhone, Apple created a new price segment and (with Android following) made the phone industry's revenue much bigger - the average price of a phone sold has more than doubled since 2007. But cars are, pretty obviously, more expensive than phones. Many people can find $400 for a better phone or, this year, a smart watch, if they're persuaded that they really want one, but rather fewer can find an extra $40,000 for a better car, or to replace their car every two years instead of every 4 or 8.  If you're in the market for a $20,000 car, there is very little that anyone can do to a car that will put you in the market for a $60,000 car. Cars do not come out of discretionary spending.

This is an important point. The iPhone was such a success largely because, in reality, they created a new (high-end) category that didn't exist before. The beauty of that high-end category is 1.) it's actually a mass market category because most people can afford a iPhone -- lots of people that make $50k a year have the exact same phone as people that make $30 million a year and 2.) people buy a new device every two years (that's a pretty nice recurring revenue stream for a hardware business).

Generally, neither of these factors have existed in the car business (most people can't afford high-end cars and the average driver replaces their car about every 10 years).

That said, these dynamics are changing a bit. Celebrities like Leonardo DiCaprio have been photographed driving around in a very affordable Prius (Frank Sinatra wouldn't have been caught dead in a low-end car). And while it's unlikely that the masses will start buying a new car every two years, it is becoming clear that fewer and fewer people are going to need to own their own car -- both because of the astounding growth of on-demand rides and the coming emergence of self-driving cars.

Benedict writes about this later in the post.

...self-driving cars might support both an on-demand model and an AirBnB model for cars - does your car drop you off at work and then roll off into the city to earn you some extra money driving other people around? Would people want to do that? Would that reduce the opportunity for 'dedicated' on-demand vehicles? Who knows. Of course, it's also possible that self-driving technology, said to be a decade away now, will remain a decade away indefinitely, as so many other AI projects have done.

In short, on-demand rides, shared self-driving cars and artificial intelligence are going to lead to massive changes in the way we get around and the way we manage our own personal transportation and the things that we do while we're travelling. And all of it -- I mean all of it -- is going to be driven by software that will become a large part of our day-to-day routine. Apple has to be in the middle of that. Apple has to make a car.