000			02176nam a22002177a 4500
999			_c5022 _d5022
005			20230322123636.0
008			230322b ||||| |||| 00| 0 eng d
020			_a9789354643323
082			_a006.70727 _bSOS
100			_aSostre, Pedro _911470
245			_aWeb analytics for dummies
260			_bWiley India Pvt. Ltd. _aNew Delhi _c2022
300			_axviii, 362 p.
365			_aINR _b799.00
504			_aTable of content Part I: Getting Started with Web Analytics Chapter 1: Understanding Web Analytics Chapter 2: Steering Clear of Common Terminology Confusion Chapter 3: Getting Your Hands Dirty with Web Data Part II: Choosing the Right Web Analytics Solution Chapter 4: Web Analytics Tools You Can Use Chapter 5: Investing in Web Analytics Tools Chapter 6: Discovering Niche Solutions Part III: Searching for Statistical Treasure Chapter 7: Taking Out the Trash Chapter 8: Reviewing Site Referrers Chapter 9: Getting to Know Your Visitors Chapter 10: Identifying Your Most Important Pages Chapter 11: Key Performance Indicators Insights Part IV: Knowledge Is Power -- Making Analytics Work for You Chapter 12: Sifting through Search Data Chapter 13: Increasing Web Site Visibility Chapter 14: Revisiting Your Online Advertising Strategy Chapter 15: Chronicling Your Web Analytics History Chapter 16: Fine-Tuning Your Web Site Part V: The Part of Tens Chapter 17: Ten Web Analytics Myths, Mistakes, and Pitfalls Chapter 18: Ten Reasons Why Web Analytics Will Revolutionize E-Business Chapter 19: Ten Web Analytics Best Practices 325 Appendix: Web Analytics Glossary Index
520			_aWeb Analytics For Dummies answers two key questions for anyone undertaking a Web analytics project: How do I get the data I need? How do I apply the data to improving my Web site? The authors are experienced Web analysts and designers with experience both in examining the trends of an existing site and redesigning based on research.
650			_aWeb usage mining _91050
650			_aInternet users _912430
650			_aWeb site development _95552
942			_2ddc _cBK