Facebook Product School Final Product Pitch: Lalaland

1. Where your shopping experience flies
lalaland

2. TABLEOFCONTENTS
ThePRoblem
Why do we make this
awesome product ?
01
Thesolution
How do we solve the problem and
benefit the users ?
02
TheFUture
How do our ideas keep
progressing after MVP?
03

3. TheProblem
01
Why do we make this awesome product ?

4. Expectation
“in buy and sell“
“make full use of these fresh
contents data to create an
application or web feature that
increase the personalized user
experience”
“one person will find joy, fun and
good deals everyday from the first
day visiting Chotot”

5. MEetVÂn- ANOFFICEWORKEr
HOBBIES
SocialStatus/TEchnologyKnowledge
Vânwanna buy anIphone
Social status
Social status
55% 45%
Secondhand shoppingTraditional shopping
Budget

6. Currentpain
Cramped user interface, too many
functionalities, not optimised for buyers
Users always see the same screen no matter
how long they have been using the apps
Suitable for everyone, optimised for no one

7. Currentpain
Filters are for experts
Too many options
Vân cares about buying not selling

8. Vânisnot aloneOur 100 people interviews show you why

9. Donttrustchotot
Because of how items are
presented and they have no
consultancy
58
%
NEVERCOMeback
They don’t have the need.
We don’t motivate them.
82
%
FEelOVerwhelmed
They were given too many
choices.
64
%
AREhappy
They mostly browse for
properties or cars
18
%
Numberscanspeak

10. PRoductVISION
“Chợ Tốt is the number one C2C marketplace
platform in Vietnam, powering more than a
billion views and more than 10 million users buy
and sell.”
We aim to make buying experience fast, full of
joy and easier.

11. ChototVS.US
OriginalCHotot
● Sell and buy
● Mobile and web
● No personalization
lalaland
● Buy
● Mobile
● Highly personalized

12. OurSTRATEGy
lalaland
Heavy focus on mobile app

13. OurSTRATEGY
lalaland
Tailored for buying experience
“According to VECITA’s estimation, 20% of
the population could bring 80%
e-commerce offer of the entire market”

14. OurStrategy
lalaland
Apply personalization
on many levels

15. TheSolution
02
How do we solve the problem and benefit users ?

16. ProductGoals
Introduce users to a marketplace with a
wide range of products
The faster deals close, the easier
customers find their happiness
To promote the right listings to the right
audience and motivate shopping
FocusOnBUyingProcess AsFAST ASPOSSIBLE Personalized

17. FasterPurchase
With intelligent chat bot systems that are
designed to help users purchase things

18. Chototdomainknowledge

19. Tothenextlevel
Explicit,Easyto access Guiding,intuitive Oriented,SImple

20. 一EileenBrown, ZDNEt
“Chatbots are fast becoming a business
imperative for businesses that want to
engage with their customers. ”

21. CREDITS: This presentation template was created by Slidesgo,
including icons by Flaticon, and infographics & images by Freepik.
Personalization
Delivering the right product to the right customer

22. Gatherinterestsforfirsttimeusers
Deliver contents based on
users chosen interest

23. Personalizationonmanylevels
Tailored product collections to
deliver guided high quality content
Fresh, daily suggestions
to promote buying
Trending products in
related categories
Wide array of products, but carefully placed

24. Betterbuyingexperience
Present related latest products for
people who actively seek offerings

25. Betterbuyingexperience
Better info
display
Related items for cross-sale
Better CTA
Clear focus on product
images

26. TheFuture
03
How do our ideas keep progressing
after devC challenge?

27. MetriCsMeasurement
We want to know how our features affect the
health of the business
We want to know the cost vs the financial gain of
our features
Customer andrevenuechurnrate
We want to know if customers are happy with our offerings
Monthlyrecurringrevenue
Netpromoterscore
xx%
xx%
xx%

28. ProductRoadmap
Demoable chatbot. Demoable
personalizations. Analyzed data
Finetune recommendations with
more data from Chotot.
Live backend.
Group based selling and buying.
Enhance chatbot systems with
more domain knowledge.
UI UX enhancements
Phase 3MVP
Phase2
Innovate product searching
with image search, better
search ranking.
Phase4
Refine recommendation engine
with machine learning and
better algorithms.
Phase5

29. OURTEAM
“That sounds OK to me”
“Let me take care of all the mobile things”
HieuVu-Mobiledev
ThinhNguyen-DATA Scienti
“Why this? Why that?”
TienMai-Data Scientist
LuongVo-ProductManager
“Guys, we need X Y Z…..”

30. Thankyou
Foryour attention