Jawwad Farid Profile picture
Jul 10, 2020 16 tweets 10 min read Read on X
1/ An author interested in selling digital books/media, which social platform should you focus on?

What performance metrics should you track? How do you go about measuring them? A thread

@jehan_ara
@sanasaleem
@TheNestiO
@babushka99
@snajmi
@Sameerpeace
#authors #writing
2/ Recently introduced to @dvassallo + @david_perell
Both exceedingly generous and open with their advice and models.

I am based in Pakistan with a #desi network. I wondered if their models would work and scale on the other side of the planet.
3/ For my digital book pre-orders launch campaign this week I designed a simple experiment

Put up a @Bitly link for pre-orders.
Launched organic campaign posts on Facebook, Linkedin and Twitter at the same time.
Collated results at the end of 4 days.

Here is what I learnt
4/ If you just tracking reach or clicks, Facebook wins hands down.

But reach and clicks don't pay bills; conversions and orders do.

Which social network wins if you are interested in orders and conversions?

Especially if you are using an organic only model.
5/ @dvassallo has it right. And the model works on this side of the planet.

The short answer is @Twitter

It's the how that is interesting. I thought about relative metrics that I could use to track conversion performance across networks.

I tried four.
6/ Measure what matters.

Here are the metrics I tracked

One. Reach multiple.
Defined as impressions received over network footprint.
Footprint = connections, contacts, friends or followers (F&F)

Here is my social footprint.
FB = 14,000
LinkedIn = 10,000
Twitter = 2,654
7/ Measure quality.

Not all clicks are equal. Some are more equal than others.

Two. Network Clicks quality.
==> as orders / clicks received.
Three. Network Order Yield.
==> Orders / Network footprint
Four. Network Clicks Yield.
==> Clicks/ Network footprint
8/ What do you think the numbers look like for FB, Linkedin and Twitter?

I know I give the game away earlier, but how big is the difference between the three social platforms when it comes to converting organic traffic?
9/ Here are the results based on 4 days of data from the launch campaign so far

Twitter organic order conversion (orders/clicks) is roughly twice of FB.

Linkedin is 70% better when compared to FB.

Twitter is 20% better when compared with Linkedin

Twitter >> LinkedIn >> FB Image
10/ Twitter Reach Factor (organic impressions / size of network), metric number 2 is even more impressive.

With content that works, appeals, is organically shared across your network FB & Linkedin throttle reach to about half of your network footprint.

Twitter doesn't. Image
11/ Network Yield.

Metric three + four deal with orders and network yield.

Twitter is 5 times better than FB, 4 times better than Linkedin on order yield (orders/network footprint)

Twitter is 3 times better than both FB and Linkedin on click yield (clicks/network footprint) Image
12/ Qualifications

Only four days of data and orders by network are a few orders short of being statistically credible.

The total pool is credible. By weekend all segments should be credible as orders by network cross the statistical threshold.

The book. Founder Puzzles. Image
13/ Payment options

For my local friends. Only 2 payment options were offered for pre-orders. Payment by cards /payment through online bank transfers

Surprisingly split is 50% / 50%. I thought it would be more in favor of #IBFT than cards.

I was wrong. @Atyab @babushka99
14/ Order distribution

Despite smallest footprint, Twitter had the highest number of orders, followed by Linkedin, followed by FB.

Also more twitter orders came for multiple copies and gifts compared to LinkedIn and FB.

Twitter followers are more giving.
15/ The landing page for Founder Puzzles. Just in case you were interested.

The landing page sucked. Put together in a rush on Monday morning in zombie mood. But clocked in average conversion of 30%. Again a big surprise.

16/ Which social network should you sell your books on? How should you track performance? What metrics should you use?

A thread for #authors and #writers
@babushka99
@sanasaleem
@jehan_ara
@kayzafar
@Sameerpeace
@Huk06
@norbalm
@TheNestiO
@PalgraveFinance

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More from @rebootdude

Jan 31
Had two insightful chats with two fellow academics and educationists yesterday.

The topic? What is it that we need to change to improve state of higher education in universities we teach in.

Here is a quick summary / the cliff notes edition of the conversation.
The purpose of undergraduate education?

Help our students discover, explore, develop and acquire interests.

A more ambitious goal? To get comfortable with personal performance windows and envelopes.

What are you really capable of? What is it that you want to do? Who are you?
The "who are you" question has been a key question in my life.

Self awareness is a powerful personal attribute that simplifies decision making and goal setting.

Because once you have answered this, you can also answer where do you want to go and what do you want to do?
Read 22 tweets
Sep 19, 2023
SWIFT MT 103. Foreign Currency Wire Transfers.

A single customer credit transfer made on the SWIFT network.

The bane of remittance/ free lancer / tech founder challenge across banking sector in Pakistan. More so for small businesses / founders that receive sub $ 1,000 wires.
Once upon a time in a different life we wrote, ran and supported treasury systems that generated MT 103 messages for local banks.

Given how treasuries front / back offices are structured and how all $ payments are consolidated and cleared via NYC, workflow was simple.
Collect all outgoing payments, bundle them together into one balance for one market / relationship / target account.

Send a shorter message to primary US$ Nostro account targeted for out going transfers for one amount.

If there is a shortfall, move money around.
Read 21 tweets
Feb 28, 2023
If you work with risk, insurance, trading or pricing, loss distributions are a key concept.

Traditional or introductory statistics courses don't have time to do justice to them.

We took a deep dive with automobile claims data (80,000 rows) in the ADA course.
With insurance models we are interested in two key parameters.

a) Frequency - the likelihood or probability of a claim.
b) Severity - the size of a claim, when a claim occurs.

Loss distributions focus on b).

If a claim occurs how big or bad is it likely to be?
Actuarial teams use data analysis to identify common attributes across high severity claims.

A large majority of motor insurance claims are within pricing limits.

A small percentage are 25 - 50x larger.

If we could identify the profile, we could price/underwrite better risks.
Read 10 tweets
Nov 12, 2022
How do you encourage or foster creativity?

Cross pollination and collaboration of ideas from different worlds and backgrounds?

We learn more when we

a) Work with individuals and teams with different perspectives.

b) Remove crutches that we use without thinking about them.
How would you design a high fidelity prototype for a game without using technology or standard art?

You level the playing field in one stroke. No developer, artist or designer would have an edge.

Only creativity would rule.

Welcome to @ibakarachi @Mindstormstudio @RaptrGames
Open to all undergraduate and graduate programs in Karachi.

If you are:

a) Avid game player
b) Aspiring game designer
c) Care about creative expression
d) Curios about what make games playable, addictive, instant hits, or
e) Love real time community feedback
Read 5 tweets
Nov 11, 2022
Fun talk today by Dr. Alnoor Bhimani @ibakarachi on data as a product, monetizing data, qualitative insights, and decision making processes.

And what all of the above implies for business school education.
My favorite takeaway?

If the data is the new oil for the knowledge economy, and we produce a lot of it, how do we productize and monetize it as an economy.

If we don't, someone else will. No one had put it down or explained it this clearly.

Data is our new edge.
Dr. Bhimani also made me a convert to the NFT cause.

I don't think he realized what he did but he said something so profound and powerful that it finally connected the dots for me.

"We may not be willing to pay for art produced by an AI today, but one day we will."
Read 4 tweets
Nov 9, 2022
The most fun engagements in my senile years are ones where I pick a new skill, crack a difficult problem or learn stuff I didn't know before.

Easier to do this type of work when you run a small specialized shop without distractions of a large team.

Small shop. Large footprint.
2018-19.
IFRS 17.
Teaching Portfolio Optimization Models + Algorithms + Financial Modeling.

2019-20.
First and second half marathon.
Remote work + Zoom Cohort based live training.
Founder Puzzles. Product launch.

2020-21.
Surviving Covid + recovering.
Close call.
3rd half.
2021-22.
Context switching. Fixing my knee.
Growth and Economic Complexity.
Raising 6 at 18 post.
Scale multiples and idea selection framework.
The Pakistan dataset.
Ed-Tech and crypto deep dive.
Teaching Venture Capital + Fintech and Financial Innovation.
Shipping FP, 2nd Ed.
Read 4 tweets

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