Most guides & experts don’t talk about this, maybe because it has “manual effort” involved.
However, it is possibly the most reliable method in your early days.
11/ Here’s why personal network is the best in your early days:
- They have more reason to “help”
- There is inherently more trust in you and what you make
- Well, you have a greater chance of them answering your mail/ call
12/ LinkedIn is the best way to leverage your network.
The fact that you can identify the exact people who can put you in touch with the right person in the right company is priceless.
But, let’s break this down into a replicable process.
13/ 1st step: Make a list of all companies you would like as your clients.
Let’s say your target audience is startups, use a database like @crunchbase to shortlist relevant companies.
This could be based on recently funded startups, etc.
14/ 2nd step: Search for those startups on LinkedIn and see if you have a 1st or 2nd-level connect in them.
LinkedIn offers a 1-month free trial on premium - you get a FREE way to see if this channel works for you.
15/ 3rd step: Reaching out to them
- If your connects are active on LinkedIn (for e.g. 500+ connections) reach out on LinkedIn
- Don't pitch your product directly. Start with a common past/interest
- Then organically suggest why you think your startup could be useful to them
16/ 3rd step: alternate route
If they aren't active on LinkedIn, reach out on mail.
- LinkedIn provides emails of many of your connects
- Don't "over-pitch" on mail. Rather try to get connected to the right PoC
17/ Now, try gathering as much information on how your product/service help them, write a mail to them describing the same.
- No mass mails === 100% personalisation.
To understand in greater detail, do read this thread:
In 8 tweets, I'll explain SEO using the analogy of a LIBRARY.
The characters:
👩🏽Librarian = Google
📘Books = All websites
🧔🏽Person searching for a book = Your potential customer
I'll connect it all in the end 🚀
Come on, let's go! Thread👇🏽
1/ Potential customer searches Google
This is equivalent to the person coming to the librarian and asking her to suggest the most relevant book on say "Photosynthesis" ('cause I'm a nerd😅).
2/ Google prepares the search results
The librarian now has to decide which books to recommend from a sea of books.
So, she does this by setting certain parameters to rank the various books.
How did we make $100k using GoogleSheets after 2 failed products?
Many asked me this. So, in 14 tweets, I cover Flexiple’s 1st year comprising:
- Product 1 & its failure
- Product 2 & its failure
- What went wrong
- Why/how GoogleSheets worked