Jackson 335, Adams 169
01
Asking people
1824 to now
new data source What people say when asked
Newspapers counted ballots readers mailed in. Then Gallup showed that a small sample chosen with care beats millions chosen by accident.
Curtis hired Parlin for a job no one had held before. He named the work "commercial research," which became market research. [3]
The Literary Digest mailed ballots across the country and called Woodrow Wilson's win, starting two decades of mail-in polls. [2]
Starch founded Daniel Starch and Staff. His recognition method measured which print ads readers saw and remembered. [4]
George Gallup founded the American Institute of Public Opinion in Princeton, New Jersey. [7]
2.38M responses
50,000 sample
Gallup sampled 50,000 voters chosen to match the country and called Roosevelt's win. The magazine folded by 1938. [8]
Tom Harrisson, Charles Madge and Humphrey Jennings founded Mass-Observation to record everyday life in Britain. Paid observers watched people in Bolton while volunteers kept diaries. [9]
600 voters
Paul Lazarsfeld, Bernard Berelson and Hazel Gaudet interviewed 600 people in Erie County, Ohio each month of the 1940 campaign. Their panel found that conversation moved votes more than newspapers or radio did. [10]
Ernest Dichter founded the Institute for Motivational Research to find the hidden reasons people buy. He is credited with the term "focus group." [13]
Polls: Dewey +5 to +15
$250M loss
Paul Green and Vithala Rao showed how to measure the trade-offs people make between product features. Conjoint became marketing's standard trade-off method. [20]
~200,000 taste tests
~8.5 pt error
537-vote margin
The networks called Florida for Al Gore from Voter News Service exit polls, retracted it, then called it for George W. Bush and retracted that too. VNS's review found flawed precinct samples and an absentee count close to twice its estimate. [26][27][28]
lesson A thin sample of the day's voters cannot call a race decided by hundreds.
Gallup, the firm that called 1936, said it would not poll the 2016 presidential primaries. Editor-in-chief Frank Newport said it would study the issues instead. [31]
~3 pt miss in key states
National polls landed close, but state polls showed the wrong winner in Pennsylvania, Michigan and Wisconsin. AAPOR blamed late deciders and samples not weighted for education. [32]
lesson Who answers a poll is not who votes. Weighting by demographics missed what moved people.
36% to 6%
Pew Research Center reported that its typical phone survey had a 6% response rate in 2018, down from 36% in 1997. It pointed to robocalls to cellphones as one cause. [33]
Largest error in 40 years
02
Panels and meters
1923 to now
new data source Devices that record what people watch and hear
Asking what people watched gave way to a meter on the set. Ratings set the price of TV advertising for decades.
Arthur C. Nielsen founded the company that would put a meter in American homes. [36]
Archibald Crossley's Cooperative Analysis of Broadcasting called homes and asked what they had heard the day before. Advertisers bought airtime on what listeners remembered. [37]
Nielsen launched a national radio rating built on meters in homes, not on what listeners remembered. [36]
Jim Seiler founded the American Research Bureau, later Arbitron. It measured radio with seven-day paper listening diaries. [40]
Nielsen began measuring U.S. television audiences with a meter on the set. Ratings set the price of TV advertising for decades. [36]
The People Meter recorded which person in the house was watching, along with the channel. [36]
Nielsen paid $1.26B (2013)
Attorney General Andrew Cuomo sued Arbitron, saying its Portable People Meter undercounted minority listeners and threatened minority-owned stations. Arbitron settled in January 2009 and agreed to response targets for every group. [41][42]
lesson A better meter still fails if the panel carrying it leaves people out.
19-month suspension
~$16B incl. debt
A consortium led by Evergreen Coast Capital and Brookfield closed its buyout of Nielsen. [45]
03
Scanners and transactions
1973 to now
new data source What people buy, at the register
The barcode turned every checkout into a data point. Brands stopped asking what shoppers bought and started counting it.
67 cents
2 test towns
Information Resources launched BehaviorScan in Marion, Indiana and Pittsfield, Massachusetts. It tied the TV ads a household saw to what it bought. [51]
Catalina Marketing, founded in 1983, linked a printer to the register that read what a shopper bought and printed a coupon to match, often for a rival brand. [52]
15,000 homes
Tesco and dunnhumby tied purchases to named shoppers. Chairman Lord MacLaurin: "you know more about my customers after three months than I know after 30 years." [56]
~25 products
500+ staff
500,000+ stores
04
Online surveys and analytics
1994 to 2020s
new data source Surveys anyone can send, and every click on a site
Research moved from phone banks to the browser. Surveys got cheap, and every website started recording its visitors.
Lou Montulli built the cookie at Netscape so a website could remember a visitor's shopping cart. Mosaic Netscape 0.9 shipped with it, and sites began to recognize returning visitors. [63]
Ryan Finley founded SurveyMonkey. Anyone could now write and send a survey. [66]
Stephan Shakespeare and Nadhim Zahawi founded YouGov in the UK to run polls on a panel of people who answer online. [67]
Qualtrics began as an online survey platform in Provo, Utah. [68]
100,000 accounts in week one
$1.8B
$12 a share
SVMK, SurveyMonkey's parent, priced its IPO at $12 a share, above its $9 to $11 range, and began trading on Nasdaq. [79]
$8B cash
SAP bought Qualtrics days before its planned IPO, betting on "experience management." [80]
$30 a share
$12.5B
05
Digital behavior and experiments
2006 to 2020s
new data source Tests on live users, and public social data
Companies stopped guessing and ran experiments on real traffic. Social feeds became the largest record of what people care about, until consent broke.
20M queries
100M ratings; $1M prize
Netflix released 100 million real ratings and offered $1M to anyone who beat its recommender by 10%. A team won in 2009 with 10.06%. [89]
+40% sign-ups; ~$60M (estimated)
Dan Siroker's team tested 24 button and image combinations. The winner lifted sign-ups from 8.26% to 11.6%. Siroker estimates it raised $60M more. [90]
Up to 2 weeks ahead
Dan Siroker and Pete Koomen founded Optimizely to bring campaign-style experiments to any website. [93]
+12% revenue
An engineer's shelved idea, run as an A/B test, raised Bing's revenue 12%, more than $100M a year in the U.S. [98]
689,003 users
Facebook changed News Feeds for a week to see whether emotions spread. When the paper came out in 2014, the backlash drew an editorial expression of concern. [99]
lesson Measuring people without their consent costs the trust the data depends on.
High in 100 of 108 weeks
58,000+ volunteers; 85% on party
Michal Kosinski, David Stillwell and Thore Graepel showed that Likes alone predict traits people never shared, including party. [102]
86,220 volunteers
A model built on 300 Likes judged personality better than a person's spouse. Ten Likes beat a coworker. What people did revealed more than what they said. [103]
10,000+ each
Harvard Business Review reported that Microsoft, Amazon, Booking.com, Facebook and Google each run more than 10,000 controlled experiments a year. [98]
87M people
Facebook disclosed that data on up to 87 million people may have gone to Cambridge Analytica, which built voter profiles from it. [104]
lesson Files on individuals, taken without consent, ended the era of open social data.
Up to 4% of turnover
~$10B (Meta, 2022)
700,000+ experiments
Google says it ran more than 700,000 experiments on Search in 2023, which led to 4,781 changes. [109]
10M to 10,000 tweets a month
6,000+ subreddits dark
06
Simulated people
2023 to now
new data source Models of people, grounded in what they did
Language models can answer as a population would. The ones that match reality are built from recorded behavior and graded against what happened.
Lisa Argyle and colleagues gave GPT-3 the backstories of real survey respondents. Its answers tracked real subgroups, which they called "algorithmic fidelity." [118]
25 agents
Joon Sung Park and colleagues built 25 agents in a simulated town that planned, remembered and reflected, and behaved like believable people. [121]
Vanderbilt researchers had ChatGPT answer as personas and compared it with the American National Election Study. Averages matched, but answers varied less than people's, shifted with prompt wording and changed over 3 months. [124]
lesson A model that matches the average can still get the people wrong.
4 of 7 states wrong
85% of test-retest
Qualtrics launched Edge Audiences in early access: simulated respondents built on its survey data, sold beside human panels. [130]
500 questions
$5.35M
$1B headline
Redpoint led Aaru's Series A. Some shares sold at a $1B valuation and others lower. [135]
$10M
$2B valuation (Jul 2026)
the insights industry: $153B in 2024.
Research software is now its largest segment. [140]
07
the next era: simulated people, grounded in what they did.
planetarium
Companies test a site, an ad or an idea on audiences built from 200M+ public social accounts.
mimi
People get their data back. With consent, their models make every test more accurate.
sources
- The alluring power of public opinion polls (Smithsonian)
- Opinion poll (Wikipedia)
- Charles Coolidge Parlin (Wikipedia)
- Daniel Starch (Wikipedia)
- Likert scale (Wikipedia)
- A technique for the measurement of attitudes (SAGE Encyclopedia of Research Design)
- Gallup, Inc. (Wikipedia)
- The Literary Digest (Wikipedia)
- Mass-Observation (Wikipedia)
- The People's Choice (SAGE Encyclopedia of Political Communication)
- Robert K. Merton publications (University of Pennsylvania)
- Focus group (Wikipedia)
- Ernest Dichter (Wikipedia)
- Dewey Defeats Truman (Wikipedia)
- Pollsters still learning from 1948 debacle (Deseret News)
- Edsel (Wikipedia)
- 10 reasons why the Ford Edsel floundered (Hagerty)
- Warren J. Mitofsky (Roper Center, Cornell)
- Exit poll (Wikipedia)
- Citation Classic: Conjoint measurement (Current Contents)
- New Coke anniversary (ABC7)
- New Coke (Wikipedia)
- New Coke (The Henry Ford)
- Opinion polling for the 1992 United Kingdom general election (Wikipedia)
- Shy Tory factor (Wikipedia)
- VNS probe (CNN)
- Why network calls were wrong (CBS News)
- 2000 United States presidential election in Florida (Wikipedia)
- Report of the inquiry into the 2015 British general election opinion polls (British Polling Council and Market Research Society)
- Polls apart (University of Southampton)
- Gallup says goodbye to the 2016 horse race (MPR News)
- An evaluation of 2016 election polls (AAPOR)
- Response rates in telephone surveys have resumed their decline (Pew Research Center)
- Task force on 2020 pre-election polling (AAPOR)
- A conversation about U.S. election polling problems in 2020 (Pew Research Center)
- Our history (Nielsen)
- Crossley ratings (Wikipedia)
- C. E. Hooper (Wikipedia)
- Audimeter (Museum of Broadcast Communications)
- Arbitron (Wikipedia)
- New York AG sues Arbitron (Radio World)
- Arbitron resolves NY lawsuit (Research News (MrWeb))
- Nielsen national TV ratings service accreditation suspended by MRC (Next TV)
- Nielsen's national TV ratings service reaccredited after 19-month suspension (Marketing Brew)
- Nielsen announces closing of transaction (Nielsen)
- VideoAmp becomes Paramount's primary measurement partner (eMarketer)
- VideoAmp marks continued currency growth with renewed Paramount deal (VideoWeek)
- The history of the barcode (GS1 UK)
- The UPC (IBM)
- Universal Product Code (Wikipedia)
- Information Resources, Inc. history (FundingUniverse)
- Catalina Marketing Corporation (Reference for Business)
- Information Resources, Inc. (Wikipedia)
- Homescan data (ZBW Journal Data Archive)
- National Consumer Panel (Wikipedia)
- Clubcard (Wikipedia)
- How companies learn your secrets (The New York Times)
- How Target figured out a teen girl was pregnant before her father did (Forbes)
- dunnhumby and Kroger announce new relationship (Supermarket News)
- Kroger acquiring majority stake, spinning off dunnhumbyUSA (Food Dive)
- IRI and NPD complete merger (Business Wire)
- IRI and NPD rebrand as Circana (Brewbound)
- HTTP cookie (Wikipedia)
- Comscore (Wikipedia)
- Magid M. Abraham and Gian M. Fulgoni found comScore (History of Information)
- SurveyMonkey (Wikipedia)
- YouGov (Wikipedia)
- Qualtrics (Wikipedia)
- Amazon.com recommendations: item-to-item collaborative filtering (IEEE Internet Computing)
- The history of Amazon's recommendation algorithm (Amazon Science)
- The one number you need to grow (Harvard Business Review)
- The one number you need to grow (a replication) (MeasuringU)
- Happy 10th birthday, Google Analytics (InfoTrust)
- Google Analytics (Wikipedia)
- What is Mechanical Turk? (Pew Research Center)
- Amazon Mechanical Turk (Wikipedia)
- Adobe Systems Form 8-K (SEC filing)
- Adobe acquiring Omniture (Search Engine Watch)
- SurveyMonkey announces pricing of initial public offering (SurveyMonkey)
- SAP to acquire Qualtrics (SEC filing)
- Qualtrics announces pricing of its initial public offering (Qualtrics)
- Qualtrics goes public (Research Live)
- SAP agrees to sell its stake in Qualtrics (Datanami)
- Silver Lake and CPP Investments complete acquisition (Qualtrics)
- Google reneges on plan to remove third-party cookies in Chrome (CBS News)
- Google abandons plans to phase out third-party cookies (Hunton Andrews Kurth)
- AOL search log release (Wikipedia)
- First person identified from AOL data (TechCrunch)
- Netflix Prize (Wikipedia)
- How Obama raised $60 million by running a simple experiment (Optimizely)
- Detecting influenza epidemics using search engine query data (Google Research)
- Google's new site aims to detect flu outbreaks faster (ABC News)
- Optimizely (Wikipedia)
- Netflix cancels contest over privacy concerns (EPIC)
- Robust de-anonymization of large sparse datasets (arXiv)
- Library of Congress to archive all tweets (Roll Call)
- Library of Congress to house entire Twitter archive (Live Science)
- The surprising power of online experiments (Harvard Business Review)
- Experimental evidence of massive-scale emotional contagion (PNAS)
- The parable of Google Flu: traps in big data analysis (Science (Harvard DASH))
- The parable of Google Flu: traps in big data analysis (Network Science Institute)
- Private traits and attributes are predictable from digital records (PNAS)
- Computers know your personality better than friends (Stanford News)
- An update on our plans to restrict data access (Meta)
- New EU data protection rules take effect on Friday (European Parliament)
- Regulation (EU) 2016/679 (EUR-Lex)
- Facebook says Apple iOS privacy change will cost $10 billion this year (CNBC)
- Facebook blames App Tracking Transparency in quarterly results (Macworld)
- Rigorous testing (Google)
- Twitter's restrictive API may leave researchers out in the cold (TechCrunch)
- Twitter confirms no more free API access for researchers (Computing)
- More than 6,000 Reddit communities have gone dark (CNBC)
- Apollo to shut down amid protest against Reddit API pricing (BetaKit)
- Meta shutters tool used to fight disinformation, despite outcry (GPB / NPR)
- Researchers consider the impact of Meta's CrowdTangle shutdown (Tech Policy Press)
- Large language models as simulated economic agents: what can we learn from homo silicus? (NBER)
- Large language models as simulated economic agents (arXiv)
- Out of One, Many (Political Analysis)
- Using GPT for market research (Harvard Business School)
- Can AI predict whether shoppers would pick Crest over Colgate? (HBS Working Knowledge)
- Generative Agents: Interactive simulacra of human behavior (arXiv)
- Using large language models to simulate multiple humans and replicate human subject studies (ICML 2023 (PMLR))
- Using large language models to simulate multiple humans (arXiv)
- Synthetic replacements for human survey data? The perils of large language models (Political Analysis)
- An AI polling startup polls bots, predicts Harris will win (Semafor)
- AI startup Aaru defends using artificial intelligence for polling (Semafor)
- 2024 United States presidential election (Wikipedia)
- Generative agent simulations of 1,000 people (arXiv)
- AI agents simulate 1,052 individuals (Stanford HAI)
- Qualtrics introduces new market intelligence capabilities (Qualtrics)
- Twin-2K-500: a dataset of over 2,000 people's answers to over 500 questions (arXiv)
- Twin-2K-500 database report (Marketing Science)
- Artificial Societies raises $5.35M (Unite.AI)
- Artificial Societies raises $5.35M seed funding (Techleap)
- Aaru raised a Series A at a $1B headline valuation (TechCrunch)
- AI startup building synthetic audiences to model human thought raises $10M (UKTN)
- Electric Twin raises $10m in funding round (Research Live)
- Simile raises $100M (SiliconANGLE)
- Simile raises $200M Series B (TechCrunch)
- Inside the $153bn insights industry (ESOMAR / Research World)
- Drivers of our $142bn insights industry (ESOMAR / Research World)