Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability

Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability

₹5,000.00
Product Code: Java - Data Mining
Availability: In Stock
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Product Description

Aim

           To convert window shoppers into purchasing customers by repeatedly reminding customers of products through repeated advertisements on social media.

Abstract

                Purchase prediction has been widely studied in the context of recommendation, most of shoppers solely enjoys window shopping, of which handful of shoppers comes back for a purchase, to convert such window shoppers into purchasing customers involve following two problems, prediction of market and predictability of customer. prediction of market aims at identifying a conversion rate for a given product and its customer behavior modeling, which is an important analytics metric for retargeting process, we can observe customer-specific behaviors after showing retargeting ads, by providing coupon we can convert a window shopper to a purchasing customers.


Proposed System

                  Retargeting has been a vital online advertising strategy to convert such window shoppers into purchasing customers, To maximize this conversion repeatedly reminding customers of products. Popular retargeting strategies include repeated advertisements on social media prediction of market has been monitored based on time spent on product and clicks, and also we satisfies customer needs based on customer purchase history and product viewed history we propose a collaborative methods to identify customer most preferred product, Delivering effective retargeted ads requires an understanding of individual customer predictability.


Advantages


  • Purchase transition is more indicative of future purchase for less expensive (or peripheral) items like phone cases whose need is recognized through a previous phone purchase.
  • We show that dynamic features are effective in predicting whether static prediction is valid and include dynamic prediction otherwise.


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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.