Startup 12: Smart Mailer

SmartMailer.io

I built a tool very similar to this one as an experiment to see how much money I could bring in to a previous workplace by sending automated emails based on various criteria. The answer turned out to be millions and millions of dollars. This was a very exciting surprise which largely led to the direction I decided to go with my career and my choice to quit that job and get my MBA so I can get funding and start a large project around this idea.

It would be very easy to accidentally use this product in a way which violates laws all over the world. You MUST research the legal requirements in your jurisdiction before using any part of this product, and make sure you have unambiguous and clear consent as required by law before sending any emails to anyone.

I accept no responsibility for the misuse of this code, accidental or deliberate by anyone.

That Time I Found Millions of Dollars Under The Cushion…

Lots of businesses have lots of data. They may not know how to access the data or how to analyze it, or even that it could be valuable to analyze it, but businesses keep track of things like what customers buy and when. They keep track of things like how frequently a customer uses their services. They keep track of things like which products have particular behaviors and lifecycles.

They can’t help but keep track of these things. The question if whether it is possible to extract value from this data.

You’re Customers Are Getting Older.

Customers age. In business terms, this sometimes means that a customer has not been seen in a while or has not purchased any products for some time. A previous employer of mine had all the contact information for these people, but no free labor to perform outreach.

The answer was obvious. Send all of those people an email every few months, automatically. And it worked spectacularly. The percentage of customers who disappeared each month dropped right away, and kept dropping as more and more customers converted for new services.

Your Product’s Are Getting Older.

Lots of products have life cycles. Nothing lasts forever. If it did, there wouldn’t be opportunities for businesses. Analyzing past customer data and behavior can illuminate likely durations after the purchase of particular products when a customer may need another product.

Maybe it’s the same thing they bought before. Maybe some kind of tuneup. Maybe it’s something complementary. Find those patterns and determine when it’s the right time to remind the customer that you’re thinking about them, and don’t be afraid to send them a coupon. I literally wrote an automated email for one such pattern which simply said, “We’re thinking of you. Here’s a coupon.” It was one of the most successful campaigns we ever tried.

At my last workplace, this larger strategy of analyzing trends and incentivizing them when they’re coming up brought in tens of thousands of dollars a month in new revenue at absolutely no cost whatsoever. You write the queries and emails once and then they send automatically every day.

Your Employees Are Imperfect.

Employees make mistakes. Sometimes they try to cheat and steal. It can be easy to find these kinds of things in the data and automatically alert supervisors so they can look into it. This saves an enormous amount unnecessary oversight and regular inspections and investigations to make sure procedures are followed correctly. Simply write a query which finds the problem, and then have it send an email to a manager.

This simple concept eliminated multiple entire management positions at my last workplace and allowed those managers to work on more important things like growing sales and developing the team.

 

The Future

There are a lot of exciting directions this product can go in the future. This concept within my various projects has been under constant development for almost five years in one form or another. I am very excited to be able to share this concept as a product and to give others the opportunity to find the missing millions under the cushions like I did.

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