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Using Social Media Monitoring tools to drive sales

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Using Social Media Monitoring tools to drive sales

  1. 1. YOUR DATA WITH DESTINY<br />Using SOCIALMEDIAMONITORING tools to improve the Sales Cycle<br />NITIN KHANDELWAL , ALI OMIDVAR, ANAND SIVAKUMAR<br />
  2. 2. Web Analytics Generation One<br />DATA<br />
  3. 3. Web Analytics Generation One<br />
  4. 4. Web Analytics Generation Two<br />
  5. 5. Web Analytics Generation Two<br />DATA<br />SOCIALMEDIA MONITORINGTOOLS<br />INSIGHTS<br />
  6. 6. AGENDA<br />What can SMM do?<br />Impact onSales-Cycle<br />Case Studies<br />Risks /Recommendations<br />Futureof SMM<br />
  7. 7. Extraction of Social Links<br />HUB<br />BRIDGE<br />OUTLIER<br />
  8. 8. Sentiment Analysis<br />
  9. 9. Trend Analysis<br />
  10. 10. Gauging Brand Equity<br />
  11. 11. Gauging Brand Equity<br />Allows Account Managers, Sales managers and the Sales force respond to sentiments formed in crucial social networks. Such responses also create also serve as more valid testimonials to the brand’s performance.<br />Helps the sales team anticipate other problems that can be solved by their product or service based on the social chatter. They can also anticipate objections that they may encounter during a sales call.<br /> Shows geographical locations where positive sentiments prevail.<br />
  12. 12. Customer Profiling<br />Hobbies: Likes Bird-watching<br />Name, age, Geographic Location<br />Currently searching for:<br />2 door sedans , Electric Vehicles, <br />DSLR cameras<br />Active Blogger , leaves comments on only 3 blog rolls<br />Loyal to Brands: APPLE, Kenneth Cole<br />Negative impressions towards: Microsoft, Armani, Gap<br />4700 Twitter followers : HUB status in Neuro-linguistic programming<br />
  13. 13. Hot-Spots: Online Address<br />Most Active on:<br />Less Active on:<br />
  14. 14. Case Studies<br />
  15. 15. Case Study 1: Enabling Retail-Channels forEA Sports<br />SMM<br /> Software<br />
  16. 16. Case Study 1: Enabling Retail-Channels forEA Sports<br />
  17. 17. Case Study 2: Software Vendor<br />WEB<br />SMM Tool<br />CRM Software Manufacture<br />User shows interest in CRM software<br />
  18. 18. Case Study 2: Software Vendor<br />Chatter about CRM<br />SMM Tool<br />CRM Software Manufacture<br />CRM<br />CRM<br />CRM<br />CRM<br />CRM<br />CRM<br />CRM<br />CRM<br />
  19. 19. Risks and Recommendations<br />
  20. 20. Risk and Recommendation #1<br />Next generation<br />SMM<br />Risk<br />2nd generation<br />SMM tools are still in a state of infancy<br />1st generation<br />Recommendation<br /><ul><li> Use these tools in collaboration with other tools
  21. 21. Second level analysis – Insights rather than Reports</li></ul>Current State<br />
  22. 22. Risk and Recommendation #2<br />Risk<br />No standards for SMM tools yet<br /><ul><li> Always monitor data relative to each other
  23. 23. Source Analysis</li></ul>Recommendation<br />
  24. 24. Risk and Recommendation #3<br />Risk<br />Different Globes<br />Recommendation<br /><ul><li>Analyse data/information in the context
  25. 25. Different architecture of data centers may spew incorrect geographical information</li></li></ul><li>Future Trends<br />Next generation<br />SMM<br />Data for business’s sake – Creating experiments in the social sphere<br />2nd generation<br />Validation of sales channel structure<br />Determining the solution sequence<br />1st generation<br />Consolidation of data – Data points like twitter and facebook allow futher data leverage<br />
  26. 26. Future Trends…..<br />Merger and Acquisitions<br />
  27. 27. Give Us A Shout…..<br />Anand Sivakumar<br />MBA 2010 – Queen’s School of Business<br />Email:anand.sivakumar@gmail.com<br />Blog: anand-sivakumar@blogspot.com<br />Twitter.com/Anandsivakumar<br />NitinKhandelwal<br />MBA 2010 – Queen’s School of Business<br />Email:nitinkhandelwal07@gmail.com<br />Twitter.com/khandelwalnitin<br />Ali Omidvar<br />MBA 2010 – Queen’s School of Business<br />Email:ali.omidvar@gmail.com<br />Twitter.com/Behrango<br />

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