Automation != Leverage
sethkim.me
sethkim.me
Their initial strategy was to automate the crap out of everything. They would try to to keep margins low and part of that was to try to avoid having people talk to non-scaleable customer sales agents.
They did pretty poorly in the beginning until they decided to do a 180 and allow people to have full control in the sales funnel over when they would like to use the website and when to talk to a person (including not using the website the whole way if they so chose).
When they did this sales and profits took off like a rocket.
They then hired enough customer service agents to service demand this way (which was a lot).
I thought it was interesting that they kind of stumbled from 100% automation to a kind of hybrid model that hit an amazing sweet spot.
They did try to reduce certain types of call volume by A/B testing website copy and the like but they always made it super easy to pick up a phone and give a code and instantly talk to someone who could see all their details and never tried to discourage anybody even if doing it online was trivial.
Millenial/GenZ jokes aside, having to talk to someone can be a massive deterrent. I might be waiting at a doctor's office, on a train, etc. I can't tell you how many trials I've bailed on once I hit a mandatory "Talk to a salesperson" step.
The customers tended to be older, I think.
There will always be people who don't need or want to speak to a human, but having the outlet to do so when it's useful to the customer can make a huge difference.
I'd say this is the crux of it. You (or someone before you) should _always_ do something manually before automating it. If you see existing automation, make sure that it solves exactly the problem you have before you implement it. And the best way to see exactly the problem you have is... to do it manually.
Stuff for thought. Thanks for the article.
Until you have case studies and social proof, shotgun will never work imo. Referrals are more important than ever.
[0] https://www.youtube.com/watch?v=ShEez0JkOFw
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Secondly when reading this:
> Regardless, the basic idea is that companies are often faced with the decision of doing N units of shitty work or far fewer than N units of great work.
This is obviously oversimplified, but there is an important point that wants to emerge from this line of thought.
As someone who grew up on open source, standardized technologies and the Web, I have been empowered to build a livelihood on Web development, mostly "self-taught" (or rather self-directed). All of this Web stuff is very accessible and gives you actual _leverage_. You can build something useful very quickly and the community around it is happy to share so much knowledge and work. I'm _very_ thankful for that.
But I think as the wider web development community we're losing sight of what that essence is. We started to think of the Web as merely a vehicle for pure scale as in "how to reach the most people and annoy them with notifications" and "how to produce cheap software very fast".
Maybe we, or some of us, should slow the fuck down a notch and think about producing valuable things for the specific needs, pain points or taste of actual people. What the article describes is a process of thinking about the real people and building a human connection. The "top 100" costumers in the article are most likely people who _actually_ need/want/use the damn thing if they see your point. Instead of trying to manipulate the masses to buy a lot of crap (excuse my meta), we should be building relationships. One very good reason for this is that only the latter is sustainable - on all the axis of what "sustainable" means.
I'm writing this "out loud" partly because I started to drift into this abstraction/automation mindset myself more and more. But yes, leverage is solving real problems.
Automation in its correct place shouldn't replace human effort - it should augment that effort.
In this case, it seems one step removed to just do both of these approaches, starting with the first. During the process of finding those 100 high-confidence matches, you could identify the ones that have the most general cases, and reuse the email copy from those.
I think the idea that automation is intended to replace human effort wholesale is improper. We should rely on automation to handle where computers are better than humans, to give the human more time to do things humans are better at.
Automation is great in most circumstances, and truly does free humans to do more meaningful work. But my take is that you can quickly push up against cases where it's unclear that you've improved a situation. It's easy to make the judgement that you have when you reduce time spent on doing "mundane" work.
Perhaps there is a heuristic that can be developed to let someone quickly assess the usefulness of automating a certain task. Would be happy to discuss this more.
OP can you tell us more about pricing model? 30 seems quite low, especially given that it is audio.
That only buys like 10 hours of time in the Philippines, for example.
How does pricing scale and what is included?
I'm curious what would indicate otherwise...
Who Are The Assistants? Where Are They Located?
Magic is fully remote with an operational headquarters in Manila. We hire smart generalists who are resourceful, fast on the computer, 100% fluent in English, and have graduated from top universities in the Philippines.
Our assistants are looking to work remotely for startups or small to midsize businesses. We do not operate a “call center”—we have a screening process for the companies we work with, and we pay our assistants significantly above the market rate.
Magic Dedicated Assistants are paid well above the Philippines’ minimum wage of $9 per day (source).
Perhaps they use investor money to make up for the difference (a kind of growth hacking). Perhaps their idea is to replace workers by AI at some point.
What on the website makes you think that? Important for me to know so I can clarify it to visitors.