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Hello, I’m Wilson Hung


This is where I keep notes on everything I learn and where I catalog my marketing experiments.

Here’s a bit about me and what I’ve accomplished so far:

November 2015: Left my job as a chemical engineer to focus entirely on user acquisition.

December 2015: Started FounderOrigins so I would have a portfolio piece. In less than 1 month, I acquired 1000 email subscribers.

March 2016: Reached out to Noah Kagan @ SumoMe and got a job. I made many mistakes, but learned a lot.

July 2016 to Now: Started helping Justin Mares to grow Kettle & Fire

I’ve also been featured on sites like: SumoMe, ConversionXL, Canva, Forbes, and HostGator.


Contact me:        

Goal #2: 1000 Emails (Automated Twitter Bot)

Takeaway: Following a bunch of users in my target demographic is an effective way to grow your follower base (automated), but ineffective to bringing traffic to my website.

Further testing is required to determine the effectiveness of interacting with users, pushing content, and twitter cards will be needed.

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EID #5 – Acquisition (Engineer as Marketing) – Automating Twitter Engagement

Overall Goal: 1000 subscribers

Timeframe: February 29, 2016

KR1 (90%): Weekly growth of 25% to my subscriber list (1000 subscribers by Feb 2016)

KR2 (50%): Weekly growth of 50% to my subscriber list (1000 subscribers by Jan 2016)

KR3 (10%): Weekly growth of 100% to my subscriber list (1000 subscribers by Dec 2016)

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Objective:

  1. Develop social proof by gaining ~300 twitter followers within two months.
  2. Determine effectiveness of Twitter to increase website traffic/email subscribers by automatically following/liking twitter accounts so they visit my profile, and see the link.

Background:

I first learned about this strategy from Justin Mares in his Programming for Marketers course. I personally used this technique to grow my personal twitter account from 0 to 338 followers in about a month.

The idea behind this is that ~10-15% of people you follow, will follow you back. This is because users receive a notification whenever someone follows them, and in most cases, they’ll check the account of their new “follower”.

To increase the targeting of this method, I could follow users who are following influencers in my target market. For example…

If I wanted to reach people interested in entrepreneurship, I could follow people/organizations like: Mark Cuban, Shark Tank, Gary Vaynerchuk, etc…

I have this method ranked pretty highly in my prioritization list not only because of its potential to attract visitors to my website (automatically without much manual effort), but also to develop my social proof.

experimentbacklog

Hypothesis

1) If successful, my twitter following will increase by 300 followers, because of the following assumptions:

  • Follow 100 users per day.
  • 10% will follow me back
  • 1-3 new signups per day

2) If successful, I will obtain 30 new email signup because of the following assumptions:

  • 10% of the people who follow me back will visit my website and subscribe
Metric Before (guess) After (actual)
Follow-back Rate 10%
New email subscribers 10% of follow-back users

Experiment Design

Step 1) Setup the twitter bot to automatically follow and unfollow users

Basically follow the instructions on http://www.programmingformarketers.com/automatic-twitter-followers/. The bot has a lot of capabilities such as targeting keywords and sending an automatic reply. However, for the purposes of this experiment, I will only use the follow and unfollow feature.

Once a day, I’ll run a python script to follow 100 people.

Note: For twitter accounts that have less than 2000 followers, you can follow up to 2000 people. However, I do not want to run the risk of getting picked up by Twitter for aggressive following. I’ve heard from general sources that 100 people per day is safe, and up to 110% of your follower number.

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After each week, I’ll run the unfollow python script to balance my follower/following ratio so it doesn’t seem like I’m just spamming for follows (which I am).

twitterunfollow

Step 2) Create a list of twitter accounts that are likely to have my target demographic

I pretty much googled “Best twitter accounts for entrepreneurs” and created my list that way. Some of the accounts I targeted were: @Young_Ent, @Tferriss, @Patflynn, @GaryVee, @DJKhaled (lol).

Results

Effectiveness of the Twitter Bot

In 30 days, I was able to follow 3000 different people which resulted in 359 twitter followers and a conversion rate of 12%.

twitterfollowergrowth

By targeting users inside @YoungEnt, the majority of my followers are comprised of my users who are interested in business, technology, and entrepreneurship.

twitter demographic

In summary, the twitter bot is an effective method to grow my twitter account followers with users who fit my target demographic.

Effectiveness of Twitter in Gaining Email Subscribers

Over the course of the month, 36 (10% of folloers) unique website visitors were a result of twitter. Of those 36 unique website visitors, 6 (17%) of them resulted in new email subscribers, or a conversion rate of 2%

Therefore, this twitter experiment was ineffective in obtaining new email subscribers

Learnings

  1. The twitter bot is effective in obtaining new followers with my targeted demographic
  2. Mass following accounts is an ineffective method to brining traffic to my website

Follow-up Actions

FOLLOW UP ACTIONS

1) Continue to run the twitter follower and target 1000 followers by the end of March

2) Start experimenting the effectiveness of interacting with twitter users by:

– Use Buffer to schedule tweets to reach out to my audience

– Setup keywords and actually REPLY & COMMUNICATE to users. Use TweetDeck.

– Twitter Cards to make it easy for people to subscribe within Twitter