MOCOPLEX Product Introduction

2019.02

INDEX

MOCOPLEX

Company History

Products

MYSHOP

What’s MYSHOP

Benefits from MYSHOP

Collaborative Filtering Technology on MYSHOP

Key Differentiations

Case Study

Process of Application

Pricing

ADNEXT

What’s ADNEXT

User Segment Optimization for Advertising

Creative Optimization for Advertising

Keyword Optimization for Advertising

Company History

2 0 1 1MOCOPLEX Founded

2 0 1 1First SSP service Launched in Korea

2 0 1 4RTB base Ad exchange Launched

2 0 1 5DSP and DMP Launched

2 0 1 63D Mobile Rich media Product Launched

2 0 1 7MYSHOPLaunched

2 0 1 8ADNEXT Launched

Mocoplex has been recognized for its technology since its inception.We are continuing to develop various advertising products that satisfy the needs of clients and are pioneering the market.Currently, we are collaborating with domestic and foreign online advertising companies and advertisers, participating in the development of Naver Global Advertising Platform..

Online Ad Product

Development & Operation

ADNEXT

Big DataAnalysis and Application

MYSHOP

Key Products

Provide Personalized Recommendation Service based on client’s user data

Operate Online Ads through sophisticated target user segmentation

based on behaviors of client’s site visitors

MYSHOP Personalized Recommendation Service

Even if you visit the same site, each visitor has different interests in shopping.MYSHOP uses individual log data collected from client’s site to identify individual interests and recommend personalized products for visitors.

Visitors interested in Beauty and Cosmetics

What’s MYSHOP

Visitors interested in Food and Beverage

Suggest relevant products by analyzing visitor’s behavior

Recommend products based on recent interest products of visitor

Drive purchase through high relevant product proposal

Benefits from MYSHOP

MYSHOP can increase site retention and purchase rate by recommending products that are hlghly relevant to visitor’s interests on Real-time basis

Filter various product information based on visitor’s behavior

Propose products that visitors are most likely to buy

Increase purchase and revisit driven by high quality product proposal

Collaborative Filtering Technology on MYSHOP

Collaborative Filtering algorithm on MYSHOP recommends products based on data from other visitors who are similar to the product of interest to the visitor or who are similar in tendency to the visitor

Product Base Filtering

Filter products that show similar viewed or purchased trend

User Base Filtering

Filter visitors who have similar view or purchase behavior

“similar products that responded to visitors”Visitor + Product

“similar products with responded products”

“Similar products associated with the query”

Product + Product

Product + Keyword

Key Differentiations

MYSHOP can Identify associations in various directions based on user behavior and expose custom-tailored items.Also, MYSHOP recommends items using non-identifiable personal information in the mobile app as well as web.

USER BY PRODUCT

Based on real-time and historical data, MYSHOP recommends products that reflect visitor’s interests.Every time users visit client’s site and view products, MYSHOP exposes highly relevant items on client’s site to drive purchases.

PRODUCT BY PRODUCT

MYSHOP exposes products that are similar to the viewed products to drive additional purchases and searches for customers.MYSHOP filters products based on user’s actions and recommend them as viewed or purchased items.

Search Result Page Optimization for inflow traffic

Keyword by product

MYSHOP recommends Keywords and products which are highly relevant with a product searched by analyzing user behaviors on each KeywordEven if they are inflow traffic from external Keyword advertisements, MYSHOP provides personalized Search Result Pages for each user by recommending products to decrease user attrition rate and drive sales

KEYWORD BY PRODUCT / KEYWORD BY KEYWORD

In-site Search Result Optimization

Expose highly relevant Keywords and Products Maximize your advertising efficiency and make a purchase by providing personalized Search Result pages through keywords and product recommendations with high relevance to inflow traffic

Keyword by keyword

PRODUCT BY KEYWORD

MYSHOP can attract users to navigate Product Detail Pages through exposing related keywords which has a high relevancy to user queries or many user actions.

Expose highly relevant keywords

Related Keyword extraction method

Recommend Keywords based on the products that visitors actually linked to, not just expose keywords that is similar in text to the product name

Related Keywords on Product Result Page

BEST PRODUCT BY CATEGORY

MYSHOP intuitively exposes Best products of various product groups at a glance by recommending Best products for each categoryThe Best product can be determined by the client's request, such as a product with a high purchase frequency or a product with a high frequency of exposure.

Product recommendation from other category

CROSS - CATEGORY

MYSHOP recommends other products in other categories that have a high relevance to viewed products to increase user retention and purchase efficiency.

Not only one-piece dress on one-piece dress product detailed page,Skirt category products with high relevance to the product are also recommended

Increase exposure to unintended consequences of search results based on text matching

Search results based on regular text matching are more likely to reveal unintended results.MYSHOP drives purchase conversion by first exposing most viewed items to Search Result Pages.

Search Result Page Optimization

Search Result Page before MYSHOP applied Search Result Page Optimization with MYSHOP

List most viewed products separately prior to other products in search results

1월 2월 3월

2016 2017

1월 2월 3월

2016 2017

Clicks Sales

Clicks to Product Detailed Pages increased by 22% and Sales by 25% year over year when applied.

MYSHOP Case Study / Company “H”

Jan Feb Mar Jan Feb Mar

0.00%

2.00%

4.00%

6.00%

8.00%

10.00%

12.00%

14.00%

16.00%

상품클릭수 구매건수

10.91%

12.14%

12.37%

11.48%12.11%

11.91%

11.70%

11.93%11.32

10.7%

11.2%

11.34%

11.38%

11.86%

13.41%

13.16%

7.56%

8.16%

8.19%

7.02%

7.14%

7.99%

7.31%7.72%

7.32%

7.78%

7.32% 6.46%7.02% 7.2%

9.09% 9.01%

Source: Internal tracking report, November 2015 (Right after MYSHOP applied)

MYSHOP Share of Total

MYSHOP Case Study / Company “H”

Max 13.5% of total Clicks and max 9% of total Sales generated from MYSHOP recommendation module

Clicks Sales

Sales per purchaser

MYSHOPapplied

Sales per visitor increased up to 116% based on the same day before and after MYSHOP appliedSales per purchaser increased 22% on average after MYSHOP applied.

Sales per visitor

월요일 화요일 수요일 목요일 금요일 토요일 일요일

MYSHOP Case Study / Company “D”

Mon Tue Wed Thurs Fri Sat Sun

Search Result Page

Keyword (Keyword by keyword)Keyword (Product by keyword)

Main Page

Product RecommendationKeyword Recommendation

Best Product Recommendation

Product Page

Product RecommendationKeyword (Product by keyword)

Cross-Category RecommendationBest Product Recommendation

Suggestion to Apply MYSHOP

Cart/Buy Page

Product RecommendationCross-Category Recommendation

MYSHOP suggests to get visitors to take action on a page-by-page basis to increase site retention and purchase conversion.

When users visit the site, they show the items they are interested in on

the first screen to induce the details page.

Users are continuously exposed to highly related products, keywords,

categories to lead to additional product search or purchase.

Users have Search experience to find products and keywords closely to their current needs very quick.

User have recommended items with high relevance to purchased

items in various categories.

Publication

Apply recommendation UI in the site

Contract

Bind the contract based on MYSHOP pricing model

Script Implementation

Implement log collection script to analyze visitor

behavior

Performance Check

Track increase of traffic and revenue from

Recommendation service

Process to Apply MYSHOP

1. CPS (Cost per Sales)

ex) In case of 7,500,00 PVs generated from recommendation modules, Fee will be 3,750,000KRW(3,000,000+(7,500,000-5,000,001)*0.3KRW, Rounding applied)

PV (From) PV (to) Unit Price (KRW) Max Price (KRW) Note

0 1,000,000 0.80 800,000 Fixed 800K KRW under 1M PV

1,000,001 2,000,000 0.70 1,500,000

2,000,001 3,000,000 0.60 2,100,000

3,000,001 4,000,000 0.50 2,600,000

4,000,001 5,000,000 0.40 3,000,000

5,000,001 0.30 3,000,00+alpha Fixed 0.3KRW/PV over 5M PV

MYSHOP Pricing

2. PV Base Pricing

- 2% Fee on Revenue generated from recommendation modules

Clicks to Product Detailed Pages increased by 22% and Sales by 25% year over year when applied.

- Page views generated from clicks of recommendation modules

MYSHOP Representative Clients

ADNEXT Online Targeting Ads

ADNEXT is a targeting Ad product that can use log data collected by MYSHOP as an external advertisement.MYSHOP script can contain an One Tag to apply the script and SDK interworking of various channels at once to provide convenience in campaign operation and result analysis.

FB Ad manager

One Tag Implementation Track Performance

Google Ads

Script: Web

SDK: App

Mocoplex DSP

What’s ADNEXT

Run Campaign in various channels

One time implementation of One-Tag eliminates publishers scripts or SDKs integration like GDN, FB and Kakaoindividually on the sites

One dashboard tracks all of campaign performance results and enables to compare performance results between media channels.

ADNEXT Optimization for User Segmentation

ADNEXT optimizes user segmentation by analyzing user's action through user data collected from advertiser site.It can be used for new user acquisition or remarketing campaign by matching users on Facebook, GDN and so on.

Visit Viewed Cart Buy

Enables to collect optimized user segment by filtering the

parameters according to user actions occurring within the site

Client Ad Platform Segment Uses

Optimized user segments can be used for the

combination of targeting options provided by the

advertising platform for sophisticated user targeting

Segment Optimization Segment Uses

ADNEXT Optimization for Ad Creatives

ADNEXT supports Ad creatives production by extracting BEST products with high purchase possibility through internal data analysis. ADNEXT also supports the creation of HTML5-formatted creatives to increase ad attention and efficiency with dynamic Ad impressions.

Utilize the BEST products extracted from website log data analysis for

dynamic remarketing campaigns during creative production process

Creative Optimization

HTML5 Dynamic Creative Sample:http://gapping.co.kr/TestAnimate/hestagSample/adSection.html

Related Keyword (Existing) Related Keyword (ADNEXT)

ADNEXT Optimization for Search Engine Marketing

ADNEXT extracts highly relevant related keywords to run SEM campaigns by using MYSHOP Keyword recommendation algorithm.For SEM, It provides a set of keywords which have higher ROAS based on users’ actions and purchases behavior analysis.

Ad operators use keywords which were provided within

the advertising platform as related keywords for keyword

biding

The possibility of inefficient budget spent exists due to

filter and bid keywords after running a SEM campaign by

using a number of related keywords manually

By analyzing internal data, it is possible to extract

keywords with high probability of purchasing, and to filter

out keywords that are not efficient in the first place

without conducting test advertising

Ad operators can Identify keywords with high ROAS in

advance to enable efficient budgeting for SEM campaigns

THANK YOU

https://www.mocoplex.com/

sales@mocoplex.com