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YOUR DATA WITH DESTINY Using SOCIALMEDIAMONITORING tools to improve the Sales Cycle NITIN KHANDELWAL , ALI OMIDVAR, ANAND SIVAKUMAR
Web Analytics Generation One DATA
Web Analytics Generation One
Web Analytics Generation Two
Web Analytics Generation Two DATA SOCIALMEDIA MONITORINGTOOLS INSIGHTS
AGENDA What can SMM do? Impact onSales-Cycle Case Studies Risks /Recommendations Futureof SMM
Extraction of Social Links HUB BRIDGE OUTLIER
Sentiment Analysis
Trend Analysis
Gauging Brand Equity
Gauging Brand Equity 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. 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.  Shows geographical locations where positive sentiments prevail.
Customer Profiling Hobbies: Likes Bird-watching Name, age, Geographic Location Currently searching for: 2 door sedans , Electric Vehicles,  DSLR cameras Active Blogger , leaves comments on only 3 blog rolls Loyal to Brands: APPLE,  Kenneth Cole Negative impressions towards: Microsoft, Armani, Gap 4700 Twitter followers : HUB status in Neuro-linguistic programming
Hot-Spots: Online Address Most Active on: Less Active on:
Case Studies
Case Study 1: Enabling Retail-Channels forEA Sports SMM  Software
Case Study 1: Enabling Retail-Channels forEA Sports
Case Study 2: Software Vendor WEB SMM Tool CRM Software Manufacture User shows interest in CRM software
Case Study 2: Software Vendor Chatter about CRM SMM Tool CRM Software Manufacture CRM CRM CRM CRM CRM CRM CRM CRM
Risks and Recommendations
Risk and Recommendation #1 Next generation SMM Risk 2nd  generation SMM tools are still in a state of infancy 1st generation Recommendation ,[object Object]
 Second level analysis – Insights rather than ReportsCurrent State
Risk and Recommendation #2 Risk No standards for SMM tools yet ,[object Object]
   Source AnalysisRecommendation
Risk and Recommendation #3 Risk Different Globes Recommendation ,[object Object]
Different architecture of  data centers may spew incorrect geographical information,[object Object]

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Using Social Media Monitoring tools to drive sales

  • 1. YOUR DATA WITH DESTINY Using SOCIALMEDIAMONITORING tools to improve the Sales Cycle NITIN KHANDELWAL , ALI OMIDVAR, ANAND SIVAKUMAR
  • 5. Web Analytics Generation Two DATA SOCIALMEDIA MONITORINGTOOLS INSIGHTS
  • 6. AGENDA What can SMM do? Impact onSales-Cycle Case Studies Risks /Recommendations Futureof SMM
  • 7. Extraction of Social Links HUB BRIDGE OUTLIER
  • 11. Gauging Brand Equity 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. 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. Shows geographical locations where positive sentiments prevail.
  • 12. Customer Profiling Hobbies: Likes Bird-watching Name, age, Geographic Location Currently searching for: 2 door sedans , Electric Vehicles, DSLR cameras Active Blogger , leaves comments on only 3 blog rolls Loyal to Brands: APPLE, Kenneth Cole Negative impressions towards: Microsoft, Armani, Gap 4700 Twitter followers : HUB status in Neuro-linguistic programming
  • 13. Hot-Spots: Online Address Most Active on: Less Active on:
  • 15. Case Study 1: Enabling Retail-Channels forEA Sports SMM Software
  • 16. Case Study 1: Enabling Retail-Channels forEA Sports
  • 17. Case Study 2: Software Vendor WEB SMM Tool CRM Software Manufacture User shows interest in CRM software
  • 18. Case Study 2: Software Vendor Chatter about CRM SMM Tool CRM Software Manufacture CRM CRM CRM CRM CRM CRM CRM CRM
  • 20.
  • 21. Second level analysis – Insights rather than ReportsCurrent State
  • 22.
  • 23. Source AnalysisRecommendation
  • 24.
  • 25.
  • 26. Future Trends….. Merger and Acquisitions
  • 27. Give Us A Shout….. Anand Sivakumar MBA 2010 – Queen’s School of Business Email:anand.sivakumar@gmail.com Blog: anand-sivakumar@blogspot.com Twitter.com/Anandsivakumar NitinKhandelwal MBA 2010 – Queen’s School of Business Email:nitinkhandelwal07@gmail.com Twitter.com/khandelwalnitin Ali Omidvar MBA 2010 – Queen’s School of Business Email:ali.omidvar@gmail.com Twitter.com/Behrango

Notes de l'éditeur

  1. HUBS: Thought leaders, Bloggers, Twitter –ers with mass following over a certain topic etc. ; Hubs sway popular opinion ( perhaps in a particular market, industry or topic)BRIDGES: Bridges connect hubs across various networks. They are generally people who build on a certain idea for a different audience etc. Example : Re-tweetersOUTLIERS: These connections are so far from the hubs and bridges that they either cannot be swayed (over an opinion) or they form their own opinions.
  2. Allows Account Managers, Sales managers and the Sales force respond to sentiments formed in crucial social networks. Such responses create sentiments that can later serve as more valid testimonials to the brand’s performanceDetermine geographical location where positive sentiments prevailHelps the sales team anticpiate problems that can be solved by their product or service based on the social chatter. THey are also in a better situation to anticipate and handle objections that they may encounter during a sales call.
  3. Allows Account Managers, Sales managers and the Sales force respond to sentiments formed in crucial social networks. Such responses create sentiments that can later serve as more valid testimonials to the brand’s performanceDetermine geographical location where positive sentiments prevailHelps the sales team anticpiate problems that can be solved by their product or service based on the social chatter. THey are also in a better situation to anticipate and handle objections that they may encounter during a sales call.
  4. It represents product/service flow from manufacturer to consumer. Based on chatter about products/services manufacture can help Distributors in increasing saels
  5. Manufacturer can help distributer mainly in three areas: Trainings:Marketing:Geographical Preferences
  6. In this case study, we are explaining how a software vendor can get sales leads using SMM tools. Let’s say a user of social media shows interest in CRM software. (S)he may start discussion about CRM software on any one or more social media sites. SMM tool will capture that interest and s/w manufacturer will get to know about this potential customer whom he can convert in a client.
  7. Another way SMM tool can help is helping sales manager in organizing sales force. SMM tools provides the volume of chatter also. More chatter in any region regarding initial enquiry of CRM s/w means more people are interested in buy CRM software which implies sales manger should has more sales rep in that area. Similarly it can help in solving of a problem which is becoming major problem as most of the clients are facing the same problem
  8. With lots of advantages SMM tools are real asset to company, though there are some risks associated with SMM tool and it proper care has not been taken they may hurt business.
  9. Different globes = we can divide earth in different regions based on different criteria: culture, political, economicalEach region is unique and same criteria to set up SMM tools’ functionality can not be used in all regions. Sales manger needs to consider special characteristics of each region to monitor chatter in that region.
  10. Currently there are around 15-20 companies providing SMM tools as this industry will mature M&A will happen and few companies will left which will also make standardization easy.