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1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Page 1: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Quantitative Marketing and the Internet

Hal R. VarianUC Berkeley

May 2007

Page 2: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

2

Problems with advertising You’ve got to do it Nobody knows what works

Hard to reach potential customers Hard to grab enough of their attention Hard to tell whether your message got through

Leads to a portfolio strategy Choose “media mix” and hope for the best…

My message: technology is changing this by providing new tools to measure ad effectiveness

Page 3: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Broadcast radio Killer app: ship-to-shore Broadcast: a nuisance…

Could that bug become a feature? The Euphoria of 1922…like the euphoria of 1999

What’s the best business model for broadcast? Government provision (BBC) Private contributions (public radio) Hardware producers subsidize content (RCA) Tax on vacuum tubes (Media tax) Advertising – the least favorite alternative

Page 4: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Advertising model First radio commercial

Apartment rentals in NYC Challenge to radio advertising

Could only survive in areas with dense enough population to support content creation

Need enough potential buyers to pay for content that people would want to listen to

Essentially only viable in big cities

Page 5: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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AT&T to the rescue Sent radio signals over copper in order

to rebroadcast content nationwide Built national networks

Didn’t have to make very much per person to cover cost of producing content since it was amortized over national market National brand marketing

TV took this model over in toto

Page 6: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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CPMs Advertising is, in general, very low-

effectiveness business, so scale is critical Cost per thousand impressions (CPM)

Broadcast TV: Prime time show: $10-$15 CPM Superbowl 30 second spot: $25 CPM

$10CPM = 1 cent per impression 10 minutes of ads in 1 hour ~ 20 ad impressions $10 CPM means 20 cents an hour for your attention Too cheap: DVDs, cable, pay per view, Internet video Value of cable payments now exceeds adv-supported

content

Page 7: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Ad blindness Average city dweller exposed to

5,000 ads per day 2,000 ads 30 years ago

Competition for attention is fierce But despite information overload, ads

still sell products People still need to find things

Page 8: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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What do kind of ads do you want?

Direct response advertising Targeted: e.g., by demographics, general

interests Good for consumer Good for advertiser

Measurable response: e.g., mail, phone Examples

Direct mail Shopping channel Search advertising Web content advertising

Page 9: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Search ads Huge advantage in measuring ad

effectiveness Measure clicks (adjust for position, TOD, etc.) Conversion tracking and cost per acquisition

Google ad ranking system Show ads likely to get the most valuable clicks in

the most prominent position Ranks ads by bid x pCTR = expected revenue Hence, “best ads get best exposure” Creates a virtuous circle: individuals want to click

because results are relevant, advertisers want prominent positions since they get the most clicks

Page 10: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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How to price search ads Highly differentiated ads: huge pricing

problem due to scale Google originally used impression-based

pricing with sales force, but this didn’t scale Solution: use keyword auction Difficulty: price depends on competition

Auctions with little competition can be great deal, since default cost per click is around 5 cents

Auctions with a lot of competition: prices get pushed to market value

But this defect was a virtue in disguise

Page 11: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Advertiser choices Keyword choice

Market efficiencies: high CTR words have high prices Measure performance, look for bargain keywords, What matters is the cost effectiveness

Creative choice Avoid question marks, exclamation points; “free” is

good, repeating product name is good E.g., plurals get more clicks and more conversions than

singulars. “Diamonds” more valuable than “diamond” Bid choices

Compare value of click to incremental cost per click: how much extra you have to pay for extra clicks

Page 12: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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New frontiers in direct response Location-sensitive search

Google local ads Cell phone ads; GPS systems

Content-linked search AdSense: tied to

content+demographics Tivo: show ads based on content +

demographics + behavior

Page 13: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Advertising models Direct response advertising

Click-based advertising works well Natural to move to mobile, local, etc

Awareness/brand based advertising? “Drink more Coke”, “It’s the cheese.” How can we measure effectiveness? What is analog of “clicks”?

Page 14: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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“Database of intentions” Queries indicate interest Measure how queries respond to

TV/radio/print campaigns Estimate ad effectiveness

Channel Time Creative

Guide media spend Understand product associations by

looking at query associations

Page 15: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Query response to TV ads

Adjustment for viewing patterns

Direct measurement of response

Can create integrated system to measure differential response

Demographic issues

3 6 9 N 3 6 9 Mhour

100

200

300

400

500

600

700

queries 2006 , 2, 24

3 6 9 N 3 6 9 Mhour

50

100

150

200

250

adclicks 2006 , 2, 24IMPORTS CAN'T REVISED OLYMPICS USA 67P 18 19IMPORTS CAN'T REVISED OLYMPICS NBC 8P12M 20 0MORE , MORE , MORE NAT'L OLYMPICS NBC 8P12M 20 0

Page 16: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Queries on CD titles

week

queries Omarion

week

queries Jennifer Lopez

week

queries Lamb Of God

2000 4000 6000 8000 10000 12000queries

100000

200000

300000

400000

500000

600000

sales Queries v sales

Page 17: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Queries on movie titles

20 40 60 80 100 120week

q aeon flux .csv

20 40 60 80 100 120week

q beauty shop .csv

20 40 60 80 100 120week

q capote .csv

4 6 8 10log Q

15.5

16.5

17

17.5

18

18.5

log G Queries v Gross

Page 18: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Guide media spend using Google Trends

dancing with the stars           desperate housewives   

Page 19: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Product associations Keyword

suggestion tool See expansions

Volume Competition

Dual use Choose keywords Product

associations

Page 20: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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What this means

Finance: came of age in 1970s with rise of quants Psychology -> rationality/quants -> psychology

Next step: marketing quants Psychology -> rationality -> psychology

Pricing keywords, measuring effectiveness-> quantify marketing, make better decisions Better match of buyers and sellers Consulting story

Page 21: 1 Quantitative Marketing and the Internet Hal R. Varian UC Berkeley May 2007

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Summary

Direct response advertising: the web changes everything Next frontier: cell phones

Awareness advertising: new tools to measure effectiveness

Much, much better data. Enlarged possibilities for quantitative marketing.

The quants are migrating from Wall Street to Madison Avenue.