Most popular search terms by letter

If you ever find yourself wondering what you should be promoting on the web, here’s 260 suggestions that are probably based on more scientific data than the average “idea in a pub” approach. It is the top 10 most popular suggestions by letter of the alphabet which I managed to glean from Google. The data looks to be from November 2008 and also looks to be the main google.com index from an international perspective. So… based on some pretty large numbers I would say.

A: amazon; aol; addicting games; apple; American airlines; ask.com; att wireless; at&t; abc; american express

B: best buy; barack obama; bank of America; bebo; blackberry storm; bbc; black Friday; bed bath and beyond; barnes and noble; black Friday ads

C: craigslist; cnn; circuit city; costco; currency converter; craigslist.com; clun penguin; comcast; capital one; comcast.net

D: dictionary; dell; dancing with the stars; disney channel; delta; disney; direct tv; dominos; drudge; daylight savings time

E: ebay; espn; expedia; election results; election; exchange rates; electoral college; earth; ebuddy; edward cullen

F: facebook; fox news; facebook login; food network; friendster; free online games; free games; fallout 3; flickr

G: google; gmail; google maps; google earth; games; gamestop; gap; google translate; gossip girl; google chrome

H: hotmail; home depot; Halloween costumes; hulu; hi5; Halloween; hp; Hollister; heroes; honda

I: imdb; itunes; ikea; iphone; images; Indian airways; Indian railways; isohunt; ign; irctc

J: Jennifer Hudson; jcpenney; john mccain; jobs; java; jokes; jet blue; jetstar; james bond; jonas brothers

K: Kohis; kmart; Kelly blue book; kijiji; kim kardashian; katy perry; kayak; kanye west; kristen stewart; kings of leon

L: lowes; limewire; lyrics; lil wayne; linens and things; love quotes; line rider; love; lands end; lego

M: myspace; mapquest; msn; maps; myspace layouts; miniclip; macsys; msnbc; mapquest driving directions; movies

N: nfl; Netflix; news; nbc; new york times; Nordstrom; nba; nokia; nissan; nike

O: obama; orkut; old navy; office depot; orbitz; oprah; online games; overstock; obama birth certificate; office max

P: photobucket; paypal; pizza hut; Pandora; prop 8; pirate bay; party city; papa johns; pottery barn; priceline

Q: quantum of solace; quotes; qvc; Qantas; quicktime; quiznos; quets diagnostics; qwest; quizzes; quickbooks

R: runescape; rahm emanuel; recipes; radio shack; Robert pattinson; rate my professor; rediff; reverse phone lookup; real estate; rayanair

S: sears; southwest airlines; sarah palin; skype; staples; sams club; snl; sprint; sony; Spanish translation

T: target; twilight; toys r us; ticketmaster; thesaurus; Travelocity; translator; tv guide; tmobile; thanksgiving

U: utube; ups; usps; united airlines; utorrent; ufc; urban dictionary; us airways; ups tracking; uggs

V: Verizon wireless; Verizon; Victoria secret; vic; Vodafone; video; Vanessa hudgens; virgin mobile; veterens day; virgin

W: walmart: Wikipedia; weather; white pages; www.yahoo.com; webkinz; wiki; www.youtube.com; wells fargo; web md

X: xbox360; xbox; xm radio; xe; x factor; xbox live; xboard; xkcd; xanax; xbox 360 games

Y: youtube: yahoo; yahoo mail; yellow pages; yahoo finance; yahoo answers; yahoo messenger; yahoo maps; y8; yahoo games;

Z: zappos; zip codes; zillow; zac efron; zellers; zero punctuation; zune; zeitgeist; zip codes by city; zara

I don’t know if I was part of a Google beta or if everyone with an iPhone suddenly has this data. If you have an iPhone, try going to Google.com and seeing if your data is the same as mine. If not – tell me what country you are in (I am in the UK) to see if we can work out the discrepancy.

Why is this data interesting? You may ask. Well if you are an affiliate with a large mailing list, or you have a generic site with lots of broad traffic; it’s obvious really. It should help you to monetize your assets a little better. This would be especially useful if you happen to have content already alphabetized… although of course you need to find a way to still associate the content with the keyword to have any chance of relevancy. It might also help you to consider your next online project. Be careful though… Obama may not be such a popular search term in a few months.

I thought I’d take half an hour to list them all, to see if the data is useful to anyone.

If you are looking for other data on Keywords, you could start at Google Zeitgeist offerings or use receptional’s “related keywords tool” to generate new ideas around a theme.

If the list is useful, let me know and I might do it all again sometime.

Tata For Now.

Dixon.