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How much is a user worth?

Peo­ple talk about the val­u­a­tion of com­pa­nies like Face­book and Twit­ter and invari­ably men­tion user growth. But how much is a user val­ued at? In this entry, I crunch the num­bers on the com­pa­nies that have gone pub­lic or are about to.

What num­bers?

I decided to look at 3 dif­fer­ent val­ues for com­pa­nies that have gone pub­lic already: Their mar­ket cap­i­tal­iza­tion (or expected mar­ket cap) on the first day of trad­ing, their reported num­ber of users, and their reported revenue.

For the mar­ket cap­i­tal­iza­tion num­ber, I either looked at the first trade num­ber if the com­pany has already gone pub­lic or took the aver­age of low and high val­u­a­tion that peo­ple have men­tioned for the com­pa­nies that have not yet gone to mar­ket. So, for exam­ple, if a com­pany is esti­mated to be fetch­ing between 15 and 20 bil­lion dol­lars at IPO time, I trans­lated that value as 17.5 billion.

For the rev­enue and user num­bers, I picked up the rev­enue from the last reported year of oper­a­tion and got the num­ber of users listed in the S-1 (if an S-1 was not avail­able, I took those and aver­aged out across 3–4 reports I could find cov­er­ing the immi­nent fil­ing for a company).

Based on the val­ues I gath­ered, I decided to esti­mate the value of an indi­vid­ual user by tak­ing the mar­ket cap and divid­ing it by the num­ber of users. I also decided to cal­cu­late the aver­age rev­enue per user (ie. ARPU) by tak­ing the rev­enue num­ber and divid­ing it by the num­ber of users. This gave us two indi­ca­tors that can be use­ful in that it pro­vides both the longer term expected value of a user as well as the cur­rent rev­enue per users, which is a more con­ser­v­a­tive measure.

All data included here was com­piled from pub­lic sources, I did not use any inter­nal infor­ma­tion for any of those com­pa­nies so you’re free to go and Google for sim­i­lar data.

Pick­ing the companies

I picked 5 com­pa­nies that have or are going pub­lic this year: Pan­dora, LinkedIn, GroupOn, Liv­ing­So­cial, and Zynga. The rea­son for pick­ing this list is that they are either the most rep­re­sen­ta­tive com­pa­nies for the web 2.0 trend and they are among the most antic­i­pated offer­ings of the year in the sector.

There are cer­tain odd­i­ties that arise out of these picks, how­ever, and I’ve yet to fig­ure out how to account for them. First, while all of the com­pa­nies are derv­ing the major­ity of their rev­enue from the inter­net, most of them have rad­i­cally dif­fer­ent busi­ness mod­els and rev­enue sources, mak­ing it poten­tially dif­fi­cult to truly draw con­clu­sion from the aggre­gated data. Sec­ondly, because we are deal­ing with some val­u­a­tion that are not yet fixed for over half of the model, there might be some vari­ance if the market’s mood changes.

On to the table

But I’m sure that most peo­ple will have skipped the pre­vi­ous parts to get to this sec­tion, the one with the num­bers in it. So here we go.

Com­pany Name Pan­dora LinkedIn GroupOn Liv­ing Social Zynga
Val­u­a­tion (in billions) $2.6 $7.8 $22.5 $12.5 $17.5
 Num­ber of users (in millions) 94 90 83 85 (rumored) 232
 Rev­enue (in millions) $51 $161.4 $713.4 $800 (rumored) $597
Per User Valuation  $50.98 $86.67 $271.08 $147.06 $75.43
Aver­age Rev­enue per User (ARPU)  $0.54 $1.79 $8.60 $9.41 $2.57

Look­ing at this chart, the first thought that has come to my mind is that the aver­age rev­enue per user does not seem to be hor­ri­bly out of line with what is expected of an inter­net busi­ness (I’ve often heard that one should strive for at least a $2 ARPU on average.

Another thing that is inter­est­ing is how much more sub­stan­tial the value that GroupOn and Liv­ing Social derive from their users. It shows that the coupon busi­ness is, at least for now, a license to print money. By con­trast, Pan­dora shows that the online radio busi­ness is still a tough one where mon­e­ti­za­tion is much more dif­fi­cult to achieve.

Trend­ing the data

While I know that these are only very few data points, I wanted to get a rough idea of what some trends might look like. To do so, I decided to take an aver­age and a median for the data:

Aver­age Median
Mar­ket cap (in billions)  $12.58 $12.54
# of users (in millions)  116.8 92
Rev­enue (in millions)  $464.56 $530.78
User Val­u­a­tion  $126.24 $106.46
ARPU  $4.58 $3.57

So based on this, one might con­sider that it is pos­si­ble to gen­er­ate between $3.57 and $4.58 per users per year. By the same token, it could be pos­si­ble that a user is worth between $106.46 and $126.24 over the user’s life­time to a pub­licly traded web 2.0 company.

Originally published on July 24, 2011 in Business . You may find related thoughts pieces under the following terms: , , , , , , , , , , , , ,

  • NA

    Are these gross uv’s or net monthly uv’s or just what was in the S-1/rumored

    • http://www.tnl.net Tris­tan Louis

      These were pulled from the S-1 or rumored, depend­ing on the state of the business.

  • http://www.facebook.com/people/Smith-Dean/100002283513024 Smith Dean

    Sorry, but this infor­ma­tion is cute, but not par­tic­u­larly valu­able since it’s done in rev­enues and not profit. Since the busi­ness mod­els of these com­pa­nies vary widely, and their mar­gins are very dif­fer­ent, it’s really quite dif­fi­cult to com­pare those fig­ures. For exam­ple, Groupon might count the entire value of the a ‘deal’ as their rev­enue, whereas their mar­gins might only be 20%. Zynga might actu­ally have a very small cost of goods sold (it’s just soft­ware …) and approach 95% gross margins.

    So it would be dandy if we could look at the same num­bers in terms of some kind of profit margin.

    Of course that might be hard because as com­pa­nies pile into invest­ing for the future, their mar­gins are not nec­es­sar­ily reflec­tive of a ‘cur­rent’ user … among other things.

    • http://www.tnl.net Tris­tan Louis

      Actu­ally, to most peo­ple buy­ing the stock, the dif­fer­ence doesn’t exist. They see those busi­nesses as “web 2.0-type busi­nesses” and so, in that sense, get­ting a fix on what those num­bers are gives us a bet­ter under­stand­ing of what the mar­ket thinks of the industry.

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