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"What
a tangled web we weave...": A review of pricing models
and the forces that drive them By Stephen Rhind-Tutt
By my estimates there are over 50 commonly used pricing models
in use for electronic products today. As many of these models are
used in conjunction with each other, there are thousands of different
combinations. My purpose here is to provide a context for these,
and to show that although they're complicated, the forces that
drive them are surprisingly simple.
Let's begin by taking a look at some of the models - this is not
meant to be exhaustive, I'm sure there are plenty I've missed:
|
|
Model
|
Category |
Example |
| 1 |
FTE |
Approx. use |
$3,000 for schools below 5,000 FTE's |
| 2 |
Book budget |
Approx. use |
$3,000 for schools below $100,000 book budget |
|
3 |
Simultaneous Users |
Approx. use |
$1,495 for four simultaneous users |
|
4 |
Connect Time |
Approx. use |
$15 per hour connect time |
|
5 |
Modem BAUD rates |
Approx. use |
$50 per hour for 14,400 modem, $100 per 28,800
modem |
|
6 |
Number of characters |
Approx. use |
$0.10 per '000 characters |
|
7 |
Number of pages |
Approx. use |
$3 per page |
|
8 |
Number of documents |
Approx. use |
$20 per document |
|
9 |
Number of abstracts |
Approx. use |
$0.20 per abstract |
|
10 |
Number of records |
Approx. use |
$0.50 per record |
|
11 |
Number of downloads |
Approx. use |
$1.00 per record downloaded. View for
free |
|
12 |
Number of views |
Approx. use |
$0.50 per view |
|
13 |
Number of faculty |
Approx. use |
$100 per faculty member |
|
14 |
Number of searches |
Approx. use |
$0.50 per search |
|
15 |
Number of sessions |
Approx. use |
$5.00 per session, per database |
|
16 |
Block Session purchase |
Approx. use |
$20,000 per block of 1,000 sessions, any db,
any location |
|
17 |
Departmental copy price |
Approx. use |
$1,000 for single department access, any location |
|
18 |
Personal copy price |
Approx. use |
$100 for individual copy |
|
19 |
# of ports |
Approx. use |
$3,000 per port |
|
20 |
Based on last year's usage |
Approx. use |
Pay fixed amount now, next year's price based
on use |
|
21 |
Institution type |
Approx. use |
Public library, high school, ARL, Community
College prices |
|
22 |
Price per password |
Approx. use |
$5 per password |
|
23 |
Price per terminal |
Approx. use |
$3 per terminal |
|
24 |
LAN price |
Approx. use |
$500 price for a LAN |
|
25 |
WAN price |
Approx. use |
$1,000 price for WAN |
|
26 |
Unlimited Site license |
Approx. use |
$5,000 unlimited use within defined site |
|
27 |
IP
range pricing |
Approx.
use |
$60
per IP address |
|
28 |
Dial
Units |
Approx.
use |
Charge
based on formula related to server loads |
|
29 |
Geographic
restrictions/surcharge |
Value
Removed |
$1,000
per site for use outside 5 miles |
|
30 |
Embargos |
Value
Removed |
A
specific journal issue delayed by 100 days before being put
in a db |
|
31 |
E-Book
checked in |
Value
Removed |
E-book
may only be checked out by 2 users |
|
32 |
Purchasing paper copy |
Discount |
20% off for purchasing paper and electronic |
|
33 |
Purchasing CD copy |
Discount |
20% off for purchasing CD and paper |
|
34 |
Purchasing Web copy |
Discount |
90% off for purchasing CD and Web |
|
35 |
Multi-year discount |
Discount |
5% off for purchasing two years |
|
36 |
Multi-site discount |
Discount |
5% off for multi-site purchases |
|
37 |
Multi-copy discount |
Discount |
5% off for buying multiple copies of same product |
|
38 |
Pre-pub discount |
Discount |
5% off for buying before publication |
|
39 |
Consortium discount |
Discount |
20% off for 20 sites participating |
|
40 |
$ volume discount |
Discount |
20% off for sales over $100,000 |
|
41 |
Multi-database discount |
Discount |
5% off for purchasing more than 10 products
at once |
|
42 |
Early purchase incentive |
Discount |
5% off if you purchase without a trial |
|
43 |
Extra subscription time incentive |
Discount |
Extra two months subscription if you purchase
before x |
|
44 |
Charter subscriber discount/ fee |
Discount |
Long term 20% off for paying $10,000 charter
subscriber fee |
|
45 |
Country Discount |
Discount |
Developing country discount |
|
46 |
Profit/non-profit Discount |
Discount |
Non-profit discount |
|
47 |
Introducing a new customer discount |
Discount |
5% if you bring a new subscriber when you buy |
|
48 |
Advertising - # of click-throughs |
Sponsored |
$19.95 per month, but you must look at ads |
|
49 |
Pledge |
Sponsored |
Contribute as you see fit |
|
50 |
Free |
Sponsored |
No charge |
|
51 |
Currency |
Value added |
$2,000 for subscription, quotes delayed 5 minutes |
|
52 |
Remote usage surcharge |
Value added |
$500 to add a remote campus |
|
53 |
Ownership surcharge |
Value added |
$15,000 for outright purchase of the data for
a site |
|
54 |
Hard disk charge |
Value added |
$500 to download data |
|
55 |
Magnetic tape surcharge |
Value added |
$19,500 for tape to load locally |
|
56 |
Software loading fee |
Value added |
To access data through software x, $3,000 software
loading fee |
|
57 |
Software maintenance fee |
Value added |
To ensure technical support, and software updates |
|
58 |
Update frequency |
Value added |
4 updates per year for $1,000; 12 updates $2,000 |
Usage based pricing sets up a measure which assumes a certain value for each
action, and then charges accordingly. Even site licensing is a variant of
usage based pricing. In this case the limit is the description of the site,
but there
is still an assumption of the amount of use that will go on within the site.
Discounts are usually tactical. Their purpose is to reward customers who help
the company by buying early, or to pass on cost savings for volume. Notice
that often a discount is actually a price. For example, if I buy the CD and
paper together I get a lower price.
Value added forms of pricing choose a particular desirable feature or part
of the service, and then attempt to differentiate customers accordingly.
Sponsored pricing is when advertising, sponsorship or other goodwill dispense
with fees completely. In some cases the customer must undertake an action to
get the discount, such as providing the sponsor with a number of click-throughs
on banner advertisements.
If you find these categories somewhat arbitrary, that's because most pricing
models have multiple purposes. They defy categorization. You could argue that
additional months is in fact value added rather than a discount. It's much
easier to look at the forces driving the models rather than the models themselves.
So what are the driving forces ?
Customer pressure for lower prices:
It's easier to see if you take a micro-example.
Hypothetically, let's imagine an ARL - Ivy University , and a Technical School
- Bob's Late Night College - that both want to buy the same product. Just
look how the simultaneous user model penalizes Bob's College. Bob's has fewer
students,
fewer faculty, a lower budget and fewer overall usage than Ivy University
- surely it should pay less ? Bob's complains loudly - and the vendor - MoreMoney
Inc. - recognizes that it was unlikely they would sell to Bob at full price.
If only MoreMoney Inc. could come up with a price that would still leave
their
current customers paying the same, but that would allow some revenue to be
generated from Bob's…Hey presto…a new pricing model is created:
the technical school price.
Publishers create additional models to maximize revenues.
Sometimes the market drives the change, sometimes publishers do. Publishers
naturally seek to recover the costs of creating a product or service from the
market for which it was created. If they can keep the revenues from this market
stable, but find a new group of customers they will do so. Often, the easiest
way for them to do this is add a restriction on something that the target customers
are prepared to pay for.
This is why we can have a corporate customer paying tens of thousands of dollars
for up to the minute information. Fifteen minutes later the same information
can effectively be had for free on America Online.
Different products need different models
Books don't perform. Readers do. It doesn't make sense to talk about
the "performance" of a book. This isn't true for electronic
products. Much of the value they have is in their performance, rather
than the content they contain. The measures of that performance -
speed, ease-of-use, level of technical standardization, accessibility,
and others - all strong drivers towards new pricing models.
The company I work for publishes 250,000 works of literature on
the Web in our Literature Online product. When we examined how
to price it we quickly learned that customers did not want to pay
a per text price. They pointed out that a number of the texts would
rarely be used. Instead they preferred an annual subscription,
where they could get as many of the texts they wanted. The product
required a different pricing model.
Another example. A while ago I was involved in a conversation about
pricing market research reports. The publisher was unwilling to
give the customer a price for simultaneous use. Why ? Because the
value in each report is in downloading it. The publisher wanted
to be remunerated by the number of times each report was downloaded.
A simultaneous usage model would mean unlimited downloading. Since
each report cost hundreds of dollars the publisher wanted far more
for the product than the customer was willing to pay. A new model
was needed.
We don't expect a doctor, a lawyer or a plumber to charge the same
way their services. We should not expect electronic services or
products to be any different.
Technology enables pricing models that reflect value more accurately
Technology is going to provide us with more and more ways of pricing. The ability
to create useful subsets of databases, micropayments, and ever more sophisticated
usage and monitoring schemes will drive this.
You can make a subset of an electronic database relatively easily. This enables
new kinds of services (and price models) to be created from what used to be
indivisible databases. It used to be expensive and time consuming to divide
, but now an electronic newspaper can and will be crafted into biographical
databases, almanacs, real estate analysis tools, historical dictionaries, genealogical
research tools. Each one of these may use a different model.
Sublicensing makes models more complex still
Most - if not all - electronic databases are aggregations of rights. Behind
the scenes there are software rights, and sublicenses for content. These rights
are usually won over time, often with tightly argued contracts. Each agreement
is subject to the value the licensor believes his or her data has, the personal
opinions of the negotiators, and competitive concerns.
A quick example to show how complex this can be: Journal publisher A gets most
of their revenue from advertising. Providing the aggregator promises to carry
their advertising they are prepared to license it at very low fees. Journal
Publisher B gets revenue from current issues. They're worried about loss of
print subscriptions, so they want a per copy per individual fee. How should
the aggregator price ? For them to be sure not to lose money they need to be
extremely careful on the terms on their pricing. In practice this might result
in a price model that allowed a site with fewer than 10 faculty having an unlimited
license, but an additional charge for every 10 additional faculty.
Is there anything wrong with this ?
Clearly, complex pricing offers more chances for libraries to overpay vendors,
but it also offers more chances for customers to pay less. Look at Encyclopedia
Britannica which is now available to many thousands more users than earlier
versions. A new pricing model that the market liked had much to do with this.
Some might say that it's unfair that in the example above Ivy University has
to "subsidize" Bob's College. But on many measures Bob's won't get
much value from the database anyway. If Bob's doesn't buy, then the overall
cost of the file will be higher, which could end up in Ivy University paying
more. Very quickly such arguments become philosophical. Should a student pay
more or less than a professor for the same information ? Should a corporation
pay the same as a university ? Is more information necessarily more valuable
than less information ? Surely a product that has turned data into knowledge
is worth more than one that has raw data ? That way madness lies.
The bottom line is that customers will not and should not pay more than think
the product is worth.
Ideally, the value delivered should fit the model. By this I mean that customers
should pay more for things they value. In the longer term this will mean that
companies seek to add more value, so doing a better job for the users. For
example, if high schools want tailored features for high schools, they should
be prepared to pay more for them. And as with most products and services, the
better the product the more the company should be rewarded.
Ideally, there should be some standard general models. In theory where the
data is the same and the market is the same, there should be the same kind
of pricing. Customers and publishers would save money and hassle.
Let's take a look at the candidates:
Per search pricing rewards the publisher for the number of searches performed.
As most users who find what they want will stop searching, this means that
the publisher is incentivized not to give the answer the patron is looking
for until they've done several searches. I'm not saying that publishers who
use this model are doing this - I'm merely pointing out that patrons come to
libraries to find answers, not to do searches. It would be better if the pricing
could be per answer rather than per search.
Simultaneous use pricing rewards publishers for the time users spend on the
database. But it does so in a perverse way. Most reference databases are not
like word processing or spreadsheet programs. Their value is in providing answers
to a select group of students, not in how long you use them.
Simultaneous user pricing also brings several disadvantages for both publisher
and customer:
Imagine(1):
Every English Literature undergraduate at a particular university has to write
a paper.
All the students want to use the same database for their papers.
The papers are all due at the same time.
Each student uses two 15 minute search sessions.
The library is open from 9 a.m. to Midnight. This means there are 60, 15 minute
sessions which can occur during the day.
Students all save their searching for the same two week period.
Then the theoretical total number of users is defined as:
This means that for a single user on a network 420 students could
use the file. For 9-12 simultaneous users 5,040 students can use
the file. What this means is that most simultaneous user pricing
is a very good deal for the customer. The formula also means that
the larger the user population the better deal it is - so penalizing
smaller institutions. This is why there is so much pressure to "pool
simultaneous users"2. For every additional simultaneous user
you add, the size of the population you can serve increases geometrically.
If you look at the elements within the formula you can see several
problems with this form of pricing. The shorter a session, the
more students can be served, and so the larger the population served.
So publishers are incentivized to make searching slower and to
lengthen the session. Interestingly, the slowness of the Web helps
publishers greatly on simultaneous user pricing, because it lengthens
sessions and means that customers need to buy more simultaneous
users to serve the same population. I can assure you that my company
is not doing this, and I expect most other companies aren't, but
we are not incentivized to improve performance.
The higher the usage the better the simultaneous user model correlates
to value delivered. So for high use databases like Infotrac Searchbank
there is a good correlation between "actual use" as defined
in downloads, prints, and time spent on the system and the level
of simultaneous use. For a low use file simultaneous user pricing
can become almost meaningless.
The Usage model
Over the past year several companies have announced "transactional" pricing
models. Typically these models measure use based on downloads,
prints, sessions, etc. In so far that these models reflect "actual" use
they provide a much better indication of value delivered.
Some of these models have been tweaked to give libraries fixed "budgetable" prices.
Just as you pay for your insurance your initial fee is based on
an assessment, and then the price goes up or down depending on
what you do during the year.
Even this model is fraught with challenges. For many kinds of research
you want the patron to be incentivized to search the data more
rather than less. Many people feel that information should be (close
to) free at the point of consumption. Otherwise learning, research
and knowledge will be penalized. With this model the penalty for
high use is deferred for a year, but it's still a disincentive
to use the file.
Imagine usage based pricing was applied to the existing library
for their monographs. How many books have not been looked at for
years ? Would that mean they should be disposed of ?
The Site license
A significant part of this paper has been devoted to stressing
that having multiple models is a good thing. So, this is not intended
to hold up one kind of model as the best for all cases. It is to
suggest that a site license has many positives to it. It gives
customers unlimited use to seek, discover, and explore information
without penalties. It is much simpler to administer than the simultaneous
use model, where technical definitions of what constitutes a simultaneous
user can drag on for weeks. With the site license model the main
point of contention is what constitutes a site.
Parties that use site licensing tend not to get distracted by the
model - they can focus on whether the product is worth the money
or not. It doesn't get into subjective judgements - of whether
an abstract is worth more than a download - which anyway differs
by database. It also rewards publishers who have better products
and penalizes those who have worse ones.
But the winning model is…
Unfortunately, there's one force that overrides all others. For
almost all customers the best model is the one that gives the lowest
price. If it's free so much the better.
Pricing isn't about theories, it's about establishing what vendors
will sell for and what customers are prepared to pay. It's about
prices, not pricing.
Theoretically simultaneous user pricing is a poor model. I think
customers like it because it is a very good deal for them. Many
publishers have decided that they would have to adopt the model
- driven by customer requests. And so it's become established.
Any model that displaces it will have to generate lower prices,
or publishers will have to raise prices on simultaneous use to
make other models more attractive.
All publishers compete with each other, and with free sources of
information. I believe we should embrace this. It's a great thing
that the Web has enabled so much more information to become free.
It will drive publishers to produce better products and to become
more efficient. A more efficient publishing system will improve
the way our societies find and use information and result in a
much greater good. We should welcome creative new models and seek
better ways of allocating the resources society sees fit to spend
on information.
The future offers some very interesting models. Technology will
eventually make it possible to price by the answer rather than
the search, by the amount learned rather than the amount taught.
In short it will make it possible to price by the result we're
seeking rather than the process.
Unless, of course, pricing by process results in lower prices…
Notes:
Formula taken from "Balancing Your Database Network Licenses
Against Your Budget", Benjamin F. Bauer, Searcher Magazine,
February 1995. NetEffect Inc., Benbauer@neinc.com,
http://www.neinc.com
Pooling simultaneous users is when several institutions club together
to use a fixed number of simultaneous users. E.g. A subscription
to four simultaneous users across seven campuses.
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