Driven eCommerce Company BLIBLI.COM Was founded in July 25 th , 2011 - - PowerPoint PPT Presentation

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Driven eCommerce Company BLIBLI.COM Was founded in July 25 th , 2011 - - PowerPoint PPT Presentation

Harnessing the Power of Big Data to Run Data Driven eCommerce Company BLIBLI.COM Was founded in July 25 th , 2011 Our Product Categories Our Business Models Our Members & Fans 788,000++ likes 334,000++ followers 2,200,000++ Members


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Harnessing the Power of Big Data to Run Data Driven eCommerce Company

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Was founded in July 25th , 2011

BLIBLI.COM

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Our Product Categories

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Our Business Models

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2,200,000++ Members

788,000++ likes 334,000++ followers

Our Members & Fans

1,500,000++ Subscribers

*) Data per Apr 2016. Source: Blibli.com Internal Data

29,000++ followers

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Merchants & Products

8,800++ 640,000++ 9,300++

*) Data per Apr 2016. Source: Blibli.com Internal Data

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Internet Banking Debit / Credit Card Transfer Method Electronic Money COD Payment

Our Payment Methods

ATM Convenience Store

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Wide Distribution Network

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ALL OVER INDONESIA ALL KINDS OF PRODUCT* NO MINIMUM PAYMENT* *

*) Except products that need special treatment **) Except diapers & milk product, min. IDR 350k

FREE Shipping Our Shipping

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Traffic Growth

4.35x

YoY Growth

(Q1 2016 vs Q1 2015)

Traffic Growth Mar 2016 vs May 2011

272x 900.000++

Sessions / Day*

3.300.000++ Pageviews / Day* 650.000++ Users / Day*

*) Data per May 2016. Source: Blibli.com Google Analytics

2011 2012 2013 2014 2015 2016

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2011 2012 2013 2014 2015

Sales Growth

*) Data per Apr 2016. Source: Blibli.com Internal Data

5x

YoY Growth

(2015 vs 2014) Sales Growth FY 2011 vs 2015

240x

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Data Ingestion

Store Front Events

  • Transactions
  • Cart, Wishlist
  • Page views, sessions
  • Banner impression & click
  • Product search
  • Social media sharing

Back Office Events

  • Order validation
  • Payment
  • Fulfilment
  • Product upload, approval
  • Inventory movement
  • Customer service interaction

Current ingestion rate of 10M+ records daily

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System Architecture

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Sample Use Cases

Recommendation Search Analysis Fraud Detection Logistics Selection Customer Segmentation Merchant Analysis

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Recommendation

Product Recommendations

  • Customers who viewed X also viewed Y
  • Customers who bought X also bought Y
  • Customers who viewed X eventually bought Y
  • Similar products
  • Frequently bought together

Search Recommendations

  • Top searched items
  • Search box auto-complete
  • Related searches

Newsletter Personalization

  • Personalized content
  • Personalized promotional offer
  • Personalized products
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Recommendation

  • Gender
  • Age
  • Location
  • Attributes
  • Category
  • Price
  • Wishlist
  • Cart
  • Order
  • Product view
  • Promo view
  • Banner clicks

Clickstream Transactions User Profile Product

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Search Analysis Searched text Search results Search result clicks

40% of all searches return 0 results WHY?

  • Typo in search
  • Product not available
  • Search improvements
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Fraud Detection System

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Logistics Partner Selection

Logistics Performance Capa- city Price

{From, To, Weight}

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Customer Segmentation

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Merchant Analysis

  • Out of stock
  • Returned product
  • Late delivery
  • SKU uploaded
  • SKU published
  • Sales
  • Product review
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THANK YOU