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- An ecommerce Perspective
   User: Someone who uses
    (browses, interacts, contributes) your
    website.




   Customer: Someone who buys something
    from your website (non ad-supported model).
   Era: A period of time when there is a shift in
    the user base.
                                                e.g

                                                Early stage Product:
                                                10% growth in unique users.

                                                Media Stage Product:
                                                30% growth in unique users.

                                                Mature Product:
                                                10% growth in unique users.




The Duration of an Era can be (is typically), different from its previous Era.
Customer


1          2           3            4
               First
                           Repeat       Regular
    User       Time
                           Buyer         Buyer
               Buyer
   There will be users who did not buy anything: (N)

   There will be users who bought only once: (O)

   There will be users who bought 4 – 6 times: (R)

   There will be users who bought >6 times: (C)

                  N >> O >> R >> C
… and Ask these questions every era.

   Is the conversion rate from User -> Customer
    getting better?

   Was it a seasonal increase/ decrease ? (you
    will know from the items purchased)

   What did I do right/ wrong? (Web Analytics)
Assumptions

   Era definition: 10% growth in Unique users.

   Repeat buyer as a % of one-time buyer: 5%

   Regular buyer as a % of Repeat buyer: 10%

   Avg Revenue from
    ◦ One – time buyer: “x”
    ◦ Repeat buyer: “4x”
    ◦ Regular buyer: “10x”
Revenue Growth during 22 successive “Era”s:

     One time and repeat users grew 7.5 times.

     Regular users grew 71 times*

     Total revenues grew 10 times

                                                                                              Rev from Regular
                                                                                              Rev from Repeat
                                                                                              Rev from One Time




            1   2   3   4   5   6   7   8   9 10 11 12 13 14 15 16 17 18 19 20 21 22


                                                                   * Regular users get added over previous eras
Revenue Composition during 22 successive “Era”s:
      ERA 1: Revenues from one-time buyer/ Total Revenues = 0.8
      …
      ERA 22: Revenues from one-time buyer/ Total Revenues = 0.6

 Even though Regular customers have grown 71 times, they account only for 29% of revenues


                            100%

                             90%

                             80%

                             70%

                             60%
                                                                                     Rev from Regular
                             50%
                                                                                     Rev from Repeat
                             40%
                                                                                     Rev from One Time
                             30%

                             20%

                             10%

                              0%
                                   1   3   5   7   9   11   13   15   17   19   21
   Era ∞ :
Revenues from one –time buyer / Total Revenues = 57%

Revenues from regular buyer/ total revenues = 31%

… and this is very less dependent on the Growth %

( If Era= 20% user growth, instead of 10%...
   Era ∞:
   revenues from one –time buyer / Total revenues = 67%
   revenues from regular buyer / Total revenues = 20%. )
   No matter the growth rate of the website, first-time buyers will always be the bulk
    composition of the revenue.

    The normal assumption of “Costs for First time buyer is high, Costs for regular
    buyers is low” is not valid. To keep a regular buyer as a regular buyer, requires a
    LOT of investment (product upgrades, category upgrades, service upgrades)

   Companies must continuously focus on first time buyers always! No breaks, no
    time-outs… the growth of first-time buyers must not slow down.

 Costs spent on new customers and regular customers must be similar to the
  revenues they bring in. i.e if
Revenue from New customers / Revenue from Regular customers = 60/30
Then Marketing investment / Product-service investment must be 60/30.

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Customer lifecycle and worth in the online world

  • 1. - An ecommerce Perspective
  • 2. User: Someone who uses (browses, interacts, contributes) your website.  Customer: Someone who buys something from your website (non ad-supported model).
  • 3. Era: A period of time when there is a shift in the user base. e.g Early stage Product: 10% growth in unique users. Media Stage Product: 30% growth in unique users. Mature Product: 10% growth in unique users. The Duration of an Era can be (is typically), different from its previous Era.
  • 4. Customer 1 2 3 4 First Repeat Regular User Time Buyer Buyer Buyer
  • 5. There will be users who did not buy anything: (N)  There will be users who bought only once: (O)  There will be users who bought 4 – 6 times: (R)  There will be users who bought >6 times: (C) N >> O >> R >> C
  • 6. … and Ask these questions every era.  Is the conversion rate from User -> Customer getting better?  Was it a seasonal increase/ decrease ? (you will know from the items purchased)  What did I do right/ wrong? (Web Analytics)
  • 7. Assumptions  Era definition: 10% growth in Unique users.  Repeat buyer as a % of one-time buyer: 5%  Regular buyer as a % of Repeat buyer: 10%  Avg Revenue from ◦ One – time buyer: “x” ◦ Repeat buyer: “4x” ◦ Regular buyer: “10x”
  • 8. Revenue Growth during 22 successive “Era”s: One time and repeat users grew 7.5 times. Regular users grew 71 times* Total revenues grew 10 times Rev from Regular Rev from Repeat Rev from One Time 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 * Regular users get added over previous eras
  • 9. Revenue Composition during 22 successive “Era”s: ERA 1: Revenues from one-time buyer/ Total Revenues = 0.8 … ERA 22: Revenues from one-time buyer/ Total Revenues = 0.6 Even though Regular customers have grown 71 times, they account only for 29% of revenues 100% 90% 80% 70% 60% Rev from Regular 50% Rev from Repeat 40% Rev from One Time 30% 20% 10% 0% 1 3 5 7 9 11 13 15 17 19 21
  • 10. Era ∞ : Revenues from one –time buyer / Total Revenues = 57% Revenues from regular buyer/ total revenues = 31% … and this is very less dependent on the Growth % ( If Era= 20% user growth, instead of 10%... Era ∞: revenues from one –time buyer / Total revenues = 67% revenues from regular buyer / Total revenues = 20%. )
  • 11. No matter the growth rate of the website, first-time buyers will always be the bulk composition of the revenue.  The normal assumption of “Costs for First time buyer is high, Costs for regular buyers is low” is not valid. To keep a regular buyer as a regular buyer, requires a LOT of investment (product upgrades, category upgrades, service upgrades)  Companies must continuously focus on first time buyers always! No breaks, no time-outs… the growth of first-time buyers must not slow down.  Costs spent on new customers and regular customers must be similar to the revenues they bring in. i.e if Revenue from New customers / Revenue from Regular customers = 60/30 Then Marketing investment / Product-service investment must be 60/30.