Aggreg-get.com aims to be the next evolution of social e-commerce by integrating social features into the online shopping experience. The site seeks to fill the void in customer engagement for fashion shoppers ages 18-38 by allowing them to browse items, get recommendations from friends, and chat about purchases. Customizable storefronts and loyalty games are designed to encourage repeat visits and conversions through a fun social experience. Partnerships with brands will provide products while acquisition relies on viral user referrals through social networks. The risk is competitors executing this vision better, but proprietary technologies and features could differentiate Aggreg-get.com in the emerging social shopping market.

1. Aggre-get.com
The Social e-Commerce
Marketplace
Team Aggreget – Sam Basu

2. Evolution of e-Commerce
• Around 2007, e-Commerce 2.0 showed up in the form
of Flash Sales Sites, like Gilt.com, Hautelook.com, etc.
They brought high-end fashion at an affordable price
and brought online shopping closer to the “Brick &
Mortar” model in terms of Fashion.
• Around 2009, the second wave of e-Commerce 2.0
began to appear in the form of Marketplaces with a
social graph. It enabled users to participate in and have
a hand in creating trends. Sites like Polyvore.com, and
TheFancy.com are good examples of this model. The
new incarnation of this model started providing some
social niceties as well. Friends and communities started
occupying an increasingly larger place in this space.

3. The Third Wave
• Aggre-get.com is taking e-Commerce 2.0 to it’s
next logical extension. We are taking the
Marketplace, customizing it to fit the
individual shopper’s fashion needs to their
social behavior.
• Currently, online shopping is missing the
“social” experience and therefore, there is a
large void in Engagement that we are looking
to fill.

4. Customer needs
• Within our target segment (Women, age 18 –
38), our surveys, polls and face-to-face
interviews show that 80% of this segment is
not being properly engaged and they miss the
“fun” factor in their online shopping
experience. Additionally, a majority (65%) of
this segment, in “real life” go shopping with
their friends and would love to see an e-
Commerce model that translates this
experience.

5. Customer needs
• When it comes to fashion, generic customer
comments don’t mean as much to our target
segment – they would want expert advice and
their friend’s opinions before they make
fashion purchasing decisions.

6. Customer Experience and Retention
• We want to focus on customer conversion and
retention through customer experience and
service.
• Though we would help customer get the best
possible price by helping them navigate and
comparison shop for a given product – the crux of
the experience would lie in seamless “Social
feature” integration, creating a smooth,
enjoyable shopping experience.
• A product-watch system where the customer is
notified when a selected product drops in price.

7. Social Experience
• Social Shopping experience – help connect with
friends through live or staggered conversation
about products. Asynchronous communication
where there is a live conversation (text, voice,
video) without all participants having to be on
the website. For example, I should be able to text
chat with someone on the site, while doing a
whatapp chat with someone else not on the site
and a voice chat with someone on the phone –
sending pictures through whatever available
channel for each person and having a multi-prong
discussion.

8. Intelligent Design
• Customizable storefront: Each registered customer/user
would be able to customized the storefront based on their
preferences. The parameters could be:
– On-sale products based on selected Store, product category,
brand, etc. Could be a mix.
– For any customized store, product category or brand – the
products that have the best Sale price (based on net or
percentage discount)
– Products that were recently browsed by friend(s) or selected
friend(s).
– Products recommended by friends
– Specific products selected based on Store, product category,
brand, etc.
– Any number of selected parameters.

9. Loyalty and Assistance
• Seamless Shopping assistance based on product category –
– For Fashion and accessories, help in finding products that would suit
the user or advice with product selected by user.
• For example, color suggestions based on hair, eye and skin color
• Style suggestions based on height, body type and style preferences.
– For Electronics, appliances and household goods, provide reviews
from the top 5 expert sources for that category.
• For example, review from Digital Photography, Camera world, etc., for a
camera.
• Fun game like “easter egg” hunt that would encourage users to visit
the site often and browse through products while trying to meet
objectives.
• Fun loyalty program or after sales experience.
– For every purchase, the customer gets to play a slot machine with a
chance of winning something.
– Creative Loyalty program game that would engage customers.

10. Partnerships & Strategy
• We are already in talks with some name
brands to partner with. We would also use
affiliate programs to create a respectable
stable of product partners.
• Our customer acquisition strategy would rely
on a multi-tier approach by getting users
introduce their FB (or other similar social
media platforms) friends to the site by
involving them in Group shopping.

11. The Risk
• The biggest risk is that someone would take
this plan and execute it better than us.
However, given our site – there are enough
proprietary technologies and feature to not
only differentiate us but all to keep moving
onwards

12. Thank You