How To Promote Your Stuff On The Internet: A Thread
After all the recent online events/conventions, I realised that there are a lot of people who don't understand how to maximise their promotion potential, so here's a quick, basic thread on how to do that!! 1/13
Hey here's my shop!
↳ Here's something I'm selling there!
Please feel free to reply with your own tips 🙏 Good luck promoting your stuff. 13/13
More from Marketing
Ecommerce, local biz, B2B, LinkedIn searches, info product sellers, enterprise, ANYTHING.
Likes / Retweets appreciated.
THREAD
1/ Ecommerce Stores
Use https://t.co/McZHDIlDFn
Further filter based on apps installed.
Selling email marketing?
Shopify + Klaviyo
Instantly unlock direct email addresses of decision makers WITH LinkedIn profiles.
Emails are already verified, no need to do it yourself.
2/ Local Biz
Use https://t.co/B53qu5yEIy
"Find B2C local businesses"
Specify country, state, city, sort by ratings.
Instantly unlocks generic email addresses.
But wait
You need direct owner emails.
Take the list of domains, and plug them into Klean Leads "Find B2B contacts"
CEO
CMO
Founder
Owner
etc.
It will process and spit out *direct* email addresses of the titles you specify.
3/ LinkedIn Searches
Let's scrape marketing agencies.
Go to LinkedIn and type in "marketing agency" (just an example)
Click "all filters"
Connections: 2nd, 3rd
Location: US
Industry: Marketing & Advertising
Titles: owner OR founder OR CEO OR CMO
Ready?
Let's scrape it
50. Fastest-growing companies use growth loops
What was the common denominator in the fastest growing companies like Dropbox, Netflix, Yelp, and Instagram?
— Alex Garcia \U0001f50d (@alexgarcia_atx) May 9, 2021
Growth loops.
Not funnels.
Here are 6 examples of growth loops that will help you acquire and retain users \U0001f9f5 pic.twitter.com/Wu4i8ReQ62
49. 7 Proven growth hacking strategies (pt.1)
I've studied hundreds of growth-hacking strategies.
— Alex Garcia \U0001f50d (@alexgarcia_atx) May 7, 2021
These 7 are proven to work \U0001f9f5
48. Steal These 7 growth hacks (pt.2)
How did Facebook, Zapier, and Tinder drive growth early on?
— Alex Garcia \U0001f50d (@alexgarcia_atx) May 7, 2021
Growth-Hacking.
PayPal growth-hacked its way to 5M users in 3 months.
Tinder used sororities and frats to 3x their user base.
Steal these 7 growth-hacking strategies that led to millions of users\U0001f9f5
47. 15 Lessons to write viral Twitter threads
Twitter threads are the new blogs.
— Alex Garcia \U0001f50d (@alexgarcia_atx) May 6, 2021
Over the last 5 weeks, I've 32x my Twitter following posting a thread a day.
These 15 learnings will help your threads go viral \U0001f9f5
A few years back my team built an app called Blab. It was like clubhouse before clubhouse.
Christie Smythe covered white-collar crime for Bloomberg News and lived "the perfect little Brooklyn life" with her husband. Then she threw it all away for one of her sources: infamous pharma bro Martin Shkreli. https://t.co/Xk0zXmYkgF
— ELLE Magazine (US) (@ELLEmagazine) December 20, 2020
When he first joined the app I had no idea who he was. I just saw that his live streams instantly had 3-4K viewers. More than anyone on our tiny platform.
I googled him and it came up: “Martin Shkreli, most hated man in America”
I assumed he was bad news
And he was... but also he wasn’t.
He was a douchebag, but he was in on the joke. He was a dick, but he was also very entertaining.
In the mornings he would live stream himself analyzing stocks or walking through drug discovery pathways.
In the afternoon he’d let people call in and debate him live on air. A CNN reporter tried to get him to go on TV, he refused, and said debate me here on Blab, no edits, no tv time limits.
At night he’d host late night convos - and eventually fall asleep on cam
The guy was a pain in the ass but man he drove traffic.
We had big celebs like Tony Robbins, the Jonas brothers etc... he outperformed them all.
At one point he was bringing in 100k users per month directly to his channel. And Bc he was so entertaining, they stuck.
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Covering one of the most unique set ups: Extended moves & Reversal plays
Time for a 🧵 to learn the above from @iManasArora
What qualifies for an extended move?
30-40% move in just 5-6 days is one example of extended move
How Manas used this info to book
The stock exploded & went up as much as 63% from my price.
— Manas Arora (@iManasArora) June 22, 2020
Closed my position entirely today!#BroTip pic.twitter.com/CRbQh3kvMM
Post that the plight of the
What an extended (away from averages) move looks like!!
— Manas Arora (@iManasArora) June 24, 2020
If you don't learn to sell into strength, be ready to give away the majority of your gains.#GLENMARK pic.twitter.com/5DsRTUaGO2
Example 2: Booking profits when the stock is extended from 10WMA
10WMA =
#HIKAL
— Manas Arora (@iManasArora) July 2, 2021
Closed remaining at 560
Reason: It is 40+% from 10wma. Super extended
Total revenue: 11R * 0.25 (size) = 2.75% on portfolio
Trade closed pic.twitter.com/YDDvhz8swT
Another hack to identify extended move in a stock:
Too many green days!
Read
When you see 15 green weeks in a row, that's the end of the move. *Extended*
— Manas Arora (@iManasArora) August 26, 2019
Simple price action analysis.#Seamecltd https://t.co/gR9xzgeb9K
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.