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Case study-
          One of largest e-commerce retailer
          in India looks at chat as an major
               engagement medium for
                   sales and support

vHelp.me Converting more visitors into customers
Customer highlights	

   Customer Details
 1. One of the oldest and
 largest e-commerce (non -
 travel) players in India with
 more than a 6 million hits a
 month. 



 2. 30-35% bounce rates. 



 3. 50% shoppers come in the
 time frame of 9am -2 pm
Conversation analysis- Distribution in categories


        Pre order
        Delivery
        Payment
        Product Related
        Refund
        Technical
        Business related
        Others
        Not declared




Very large number of customers (43%) wanted to chat before ordering big ticket
items, which suggest that sales might get a boost by engaging with customers.
Realtime emotional analysis	

     Positive emotions
     Negative
     Neutral emotion
     Not detected




 Very few irate customers (9%) means that overall satisfaction levels are high on
                               chat as a medium
No one is talking to high spending US customers


  Chat request 10am-6pm
  Chat requests btw 6pm -10 am




   Only 38% of the total users are requesting chats during off hours (Mostly
             customers from US), which are not being served.
People like to know more about the products


       Pre order
       Delivery
       Payment
       Product Related
       Refund
       Technical
       Business related
       Others
       Not declared




  14% of the queries were product related queries, related to the product being
                                   ordered
Post sales, payment, delivery and refund dominate


       Pre order
       Delivery
       Payment
       Product Related
       Refund
       Technical
       Business related
       Others
       Not declared




 Customers are anxious to track shipments and as such 14% queries are actually
     related to delivery. Good, consistent delivery ensure repeat customers.
Chat sessions are shorter than voice calls

 During chat                    Value

    Average wait time            1.2 minutes


  Average handling time
                                 9.7 minutes
        worked

                                13.5 minutes

 Maximum handling time


  Avg queries per chat               7



                          Avg. Wait time
                          Min. Handling time
                          Avg. Handling time
                          Max. chat time
Inclination to chat vs actual engagement


   Clicked on chat but left without chatting
   Abandoned chat after waiting
   Opted for email because of wait
   Actually Engaged




  Only 28% of the total chat requesters are getting served, need 4 times the current
manpower to address all customers requests or get automation to handle the extra load
Care strategy offered




        Intelli- Live chat for helping customers during 10 am - 6pm.



    Automated chat for helping customers during off hours 6 pm- 10am.



       A new engagement force just focused on selling through chat.
Chat is better, quicker and cheaper

       Better                  Quicker                  Cheaper
• Customers prefer       • Chat was the            • Total infrastructure
  chat over email and      fastest way to            cost of chat
  phone, the two           resolve a query vs        solution was
  most common              email and phone. 
        cheaper by 75%
  channel available                                  than on phone. 

  for engagement,
                         • For pre order
  even in India. 

                           queries, customer       • Running cost of
                           prefer to chat rather     chat solution is
• More than 60%            than to email or          lower by 30% than
  customer waited to       phone.                    on phone.
  chat, rather than to
  email, the option
  offered to others.
Thank you

email CEO@vhelp.me for more details.

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vhelp.me ecommerce case study

  • 1. Case study- One of largest e-commerce retailer in India looks at chat as an major engagement medium for sales and support vHelp.me Converting more visitors into customers
  • 2. Customer highlights Customer Details 1. One of the oldest and largest e-commerce (non - travel) players in India with more than a 6 million hits a month. 2. 30-35% bounce rates. 3. 50% shoppers come in the time frame of 9am -2 pm
  • 3. Conversation analysis- Distribution in categories Pre order Delivery Payment Product Related Refund Technical Business related Others Not declared Very large number of customers (43%) wanted to chat before ordering big ticket items, which suggest that sales might get a boost by engaging with customers.
  • 4. Realtime emotional analysis Positive emotions Negative Neutral emotion Not detected Very few irate customers (9%) means that overall satisfaction levels are high on chat as a medium
  • 5. No one is talking to high spending US customers Chat request 10am-6pm Chat requests btw 6pm -10 am Only 38% of the total users are requesting chats during off hours (Mostly customers from US), which are not being served.
  • 6. People like to know more about the products Pre order Delivery Payment Product Related Refund Technical Business related Others Not declared 14% of the queries were product related queries, related to the product being ordered
  • 7. Post sales, payment, delivery and refund dominate Pre order Delivery Payment Product Related Refund Technical Business related Others Not declared Customers are anxious to track shipments and as such 14% queries are actually related to delivery. Good, consistent delivery ensure repeat customers.
  • 8. Chat sessions are shorter than voice calls During chat Value Average wait time 1.2 minutes Average handling time 9.7 minutes worked 13.5 minutes Maximum handling time Avg queries per chat 7 Avg. Wait time Min. Handling time Avg. Handling time Max. chat time
  • 9. Inclination to chat vs actual engagement Clicked on chat but left without chatting Abandoned chat after waiting Opted for email because of wait Actually Engaged Only 28% of the total chat requesters are getting served, need 4 times the current manpower to address all customers requests or get automation to handle the extra load
  • 10. Care strategy offered Intelli- Live chat for helping customers during 10 am - 6pm. Automated chat for helping customers during off hours 6 pm- 10am. A new engagement force just focused on selling through chat.
  • 11. Chat is better, quicker and cheaper Better Quicker Cheaper • Customers prefer • Chat was the • Total infrastructure chat over email and fastest way to cost of chat phone, the two resolve a query vs solution was most common email and phone. cheaper by 75% channel available than on phone. for engagement, • For pre order even in India. queries, customer • Running cost of prefer to chat rather chat solution is • More than 60% than to email or lower by 30% than customer waited to phone. on phone. chat, rather than to email, the option offered to others.
  • 12. Thank you email CEO@vhelp.me for more details.