awareness
@glenngabe’s post on FaceYahoogle – The Impact of Facebook, Yahoo, and Google on Website Traffic inspired me to also look at the search terms driving traffic. Most sites, even major ones have their own brand terms driving traffic. This is OK, but it is taking significantly less advantage of the full power of search.A more ideal scenario for sites is that they have a large number of non-brand terms driving traffic — i.e. the keywords they want to be known for are driving traffic to them. The premise is that if the user already knew the brand or brand name, it would be redundant for the advertiser to spend awareness ad dollars on them. The advertiser wants to get users to their site who do not already know their brand name. This is especially true for pharma drug websites, as you will see in the following examples.
GENERAL SITES
These sites have such a diverse set of products, services, or topics, we don’t expect the top search terms driving traffic to be anything other than their brand terms. But they should have a long tail of thousands of keywords driving traffic (and they are, in the following examples).
NYTimes.com

LinkedIn.com

Weather.com

CATEGORY SPECIFIC SITES
These sites focus on specific product categories, so one would expect that they should have keywords around their product category driving traffic — e.g. clothing, chocolate, wine, etc. But as you can see, most don’t and the total number of keywords driving traffic could be larger than it is now (implying more long tail keywords).
JCrew.com – clothing

Apple.com – computers, consumer electronics, iPod, music

Godiva.com – chocolate

AnnTaylor.com – clothing, women’s

SINGLE NICHE SITES
Such sites should be all over search terms that surround the topic areas that they want to be known for. But as you see from the analytics, most don’t. Instead, the top terms driving traffic are their own brand name. Again, if the user already knew the brand, additional advertising would be wasted on them. The sites need to make efforts to “own” additional keywords (or at least “show up at the party”) so people who don’t know the brand name might still have a chance finding them when they type in other keywords surrounding the specific niche.
Sutent (Pfizer) – cancer drug

Nucynta (J0hnson & Johnson) – pain drug

Spiriva (Boehringer Ingelheim, Pfizer) – COPD drug
NOTE: This is the best of the bunch of drug sites. COPD, the disease area they want to be known for, does actually show up in the first 5 search terms driving traffic, along with emphysema and their product name handihaler. Also, notice they have nearly 10 times the number of keywords driving traffic compared to the other 2 drugs cited (65 vs 7 or 8 )

Tags: advantage, adverti, advertiser, advertising, analytics, AnnTaylor, anything, apple, awareness, Boehringer Ingelheim, brand, brand name, category, chocolate, clothing, clothing women, com, consumer, consumer electronics, COPD, drug, Facebook, FaceYahoogle, full power, GENERAL, glenngabe, Godiva, google, impact, iPod, J0hnson & Johnson, JCrew, Johnson, LinkedIn, music, name, niche, Nucynta, number, NYTimes, Pfizer, pharma, post, power, premise, Product, product categories, product category, scenario, search, search terms, set, show, single, site, SITES, SPECIFIC, Spiriva, Sutent, tail, topic, topic areas, traffic, user, weather, website, wine, Yahoo
1. select a product that is a low consideration product (e.g. a song) whose primary missing link is awareness
2. create a funny and entertaining video that features that product or a key attribute of the product
3. [ contact us for the "secret sauce" of step 3 ]
4. continue to build the momentum and build further social amplification by real people (won’t happen if the content is not funny, entertaining, useful, or unexpected)
5. use analytics to determine how to further optimize the content itself to match what characteristics actually went viral (based on how people talked about it when they passed it along)
Examples of videos whose viral effects were successfully manufactured over time. Obama Girl; Lonelygirl15 Brea Olson; Notice the shape of the stats curve of the more recent lonelygirl15 video from 2008. It is much flatter, which is a characteristic of non-viral videos. This is after they revealed that the original lonelygirl15 was a fake; now they have to support the view count through traditional paid media and continuous PR to accumulate the views.



Tags: amplification, attribute, awareness, Brea, characteristic, consideration, contact, content, count, curve, flatter, girl, link, Lonelygirl, lonelygirl15, missing link, momentum, notice, Obama, obama girl, Olson, optimize, Product, real people, sauce, secret sauce, shape, shape of the stats curve, Song, step, time, use, video, view, viral videos
Awareness stage
- Smirnoff Tea Partay – white guys rapping; helped drive sales of the new product because it solved the awareness missing link for the product
Tags: awareness, drive, link, missing link, Partay, Product, smirnoff, smirnoff social marketing, stage, Tea, tea partay, white guys
In the following study published by Harris Interactive and Adweek Media, they show a chart which seemingly shows that TV ads are “most helpful” in making a purchase decision. If you were give the following list of choices — TV ads, newspaper ads, search engine ads, radio ads, banner ads, and none — and asked to select which was most helpful to your purchase decision; which would you choose? And would you choose that because it was more familiar to you (e.g. TV), seen more frequently, etc. Or is it that banner ads are generally known to be ignored (eye tracking studies show that most users know not to look at the top and right sides of a web page, knowing that banner ads typcially go there).
for new products
where the missing link is simply awareness
TV is very effective
in driving an initial burst of sales
starting pt is zero sales
so if you make people aware
some will buy
11:04 PM in the case of new products
online ads are not great
but you have to break online ads into 2 types
banner ads (push) versus search ads (pull)
search ads are not useful here
because it is a new product and people
wont know to search for it
11:05 PM banner ads may work
because they are for awareness
and they are displayed on pages where people are looking at content
but compared to TV advertising
people have accepted ads as part of the “price” of TV
on the contrary
people have always expected itnernet content to be free
and they have devloped habits to
11:06 PM avoid lokoing at top of page and right side
so banner ads are pretty damn bad at
generating awareness
because people simply dont look
so of the 3
tv ads, banner ads and search ads
tv ads are better in the case of new products where the missing link is awareness
11:07 PM when you get to more established products
the balance changes
the missing link is not awareness
the missing links are further down the funnel
e.g. consideration
modern consumers need more info
they dont just trust an advertiser
and TV ads give them too little info to be useful
11:08 PM banner ads are still ignored just as much as before
but search ads become more important
by looking at what people are searching for
yu know what part of the purch funnel they are at
and what missing link they are trying to solve
so in summary
11:09 PM making the generalization that TV ads are more effective than internet ads is simply false and irresponsible; we must take into account dozens more parameters that impact purchase
decisions
Source: http://www.marketingcharts.com/television/tv-ads-most-helpful-web-banners-most-ignored-9645/

More than one-third of Americans (37%) say that TV ads are most helpful to them in making a purchase decision, while nearly half say they ignore internet banner ads, according to (pdf) a poll from AdWeekMedia and Harris Interactive.
In terms of the helpfulness of ads in other media, newspapers rank second behind TV, with 17% reporting that newspaper ads are most helpful, while 14% say the same about internet search-engine ads:

At the other end of the spectrum, Radio ads (3%) and internet banner ads (1%) are not considered helpful by many people. The poll found also that more than one fourth (28%) of Americans say that none of these types of advertisements are helpful to them in the purchase-decision-making process.
Not surprisingly, the types of ads Americans find helpful vary by age and, slightly, by region:
- 50% of people ages 18-34 find TV ads most helpful.
- 31% of those ages 55+ say newspaper ads are most helpful.
- 40% of Southerners find TV ads most helpful, while only one-third (33%) of Midwesterners feel the same.
Banner Ads Most Ignored
Almost half of Americans (46%) say they ignore internet banner ads, according to the study. Much further down the list of ignored items are internet search engine ads (17% of people ignore), television ads (13%), radio ads (9%), and newspaper ads (6%):

One in ten Americans (9%) say they do not ignore any of these types of ads.
Age and regional differences:
- 50% of those ages 35-44 and 51% of Midwesterners say they ignore Internet banner ads compared with 43% of 18-34 year olds as well as Easterners and Southerners.
- 20% of Americans 18-34 years old (20%) say they ignore Internet search engine ads while 20% of those ages 55+ ignore TV ads.
Harris Interactive suggestes that these findings are important because, despite online video and the ability to use a DVR to shift live programming, TV ads remain most helpful to consumers. Conversely, while an internet strategy is essential for a comprehensive ad campaign, banner ads are only considered helpful by a few and are ignored the most, the polling fiirm said.
About the survey: The AdweekMedia/The Harris Poll was conducted online in the US from June 4-8, 2009 among 2,521 adults (ages 18+). Figures for age, sex, race/ethnicity, education, region and household income were weighted where necessary to bring them into line with their actual proportions in the population. Propensity score weighting was also used to adjust for respondents’ propensity to be online.
Tags: advertiser, advertising, Adweek, AdWeekMedia, age, awareness, balance, banner, banner ads, burst, case, chart, choices, consideration, consumers, content, decision, dont, engine, eye, eye tracking, funnel, generalization, generating, half, Harris, harris interactive, info, Interactive, Internet, itnernet, link, list, look, Media, Midwesterners, missing link, missing links, newspaper, none, one-third, online, page, part, poll, price, Product, purch, purchase, purchase decision, radio, radio ads, region, search, search ads, search engine, side, Study, summary, top, trust, tv ads, tv advertising, US, Web, web page, wont
marketing misconceptions
- “behavioral targeting” – the belief that people’s surfing behavior will indicate what they are likely to buy — of all my surfing, only a small portion of it is related to doing product research before I buy something, and it is usually limited to the few days or weeks just before the purchase. What advertisers don’t know is how to distinguish this finite surfing behavior which IS related to upcoming purchases from the rest of my surfing behavior which is NOT.
advertising misconceptions
- “targeting” – of course some targeting is better than no targeting (e.g. after-shave ads targeted to men vs women) but even with targeting (e.g. daypart, demographics, specific TV show spot) ads are still “shot” at large audience “buckets” and do not take into account the dozens of other parameters which come into play between the awareness of a product and its purchase (e.g. I just bought a mini van and no matter how many or how accurate mini van ads are, I will not buy another mini van.)
- “reach and frequency”- reach is “how many people you beat over the head with an ad message” and frequency as “how often you do so.”
- gross rating points – an approximation of approximations of estimates of round numbers of probabilities which currently guide the spending of billions of dollars on push advertising — that’s why they call it “gross”
social media misconceptions
- “social media” – thinking that people’s conversations are a form of “media” that can be purchased or “generated” by advertising; and that there is enough of it to achieve the “reach and frequency” advertisers are accustomed to in traditional advertising.
- thinking you can appoint or delegate either by an agency or an intern your precrafted voice in to people’s conversations. (it should be you or someone with a control over issues in the company, it’s not just talk)
- thinking its just talk
- thinking people are there to listen to your marketing pitch
- thinking if you spent enough time chattering you can start selling (you have to add value or no one will buy your product just because you have good bedside manners)
SEO (search engine optimization; organic search) misconceptions
- thinking you can buy links and rise to number 1 in no time
SEM (paid search) misconceptions
- thinking people search for your advertising (people search for information)
Direct Marketing misconceptions
Contributor: Tugce ESENER
Tags: account, advertisers, advertising, advertising misconceptions, Agency, approximation, approximations, audience, awareness, bedside, bedside manners, behavior, belief, belief that, billions of dollars, buckets, com, company, Contributor, control, conversations, course, daypart, demographics, Direct, direct marketing, direct marketing misperceptions, dozens, engine, engine optimization organic search, ESENER, few days, form, frequency, Gmail, gross rating points, guide, head, information, intern, marketing, marketing misconceptions, matter, message, mini, mini van, misconceptions, misperceptions, NOT, number, number 1, optimization, parameters, people search, pitch, play, portion, probabilities, Product, product research, purchase, purchase advertising, push, Rating, reach, research, rest, ris, rise, round, search, search engine optimization, SEM, SEO, shot, show, small portion, social media misconceptions, someone, something, spending, Spot, spot ads, talk, time, traditional advertising, Tugce, tv show, value, van, voice
Megan Fox – The Perfect Babe Product Placement



No, this post is not about Megan Fox. Well, yeah it is. But it’s about the MARKETING of Megan Fox.
Megan Fox has been around in films and TV since 2001 (see filmography below). But it wasn’t until 2007 when she starred in the first Transformers movie that she burst on the scene and became an overnight mega celebrity, especially online (see Google Search Volume chart). If you look at Ford’s search volume during the same period, there was NO lift in search that was detectable — there probably was some lift, but it is simply not detectable.
So Megan Fox went from very very little awareness to not only massive awareness, but also massive demand — people remembered her name and even took action (performed searches on her name). If some product placements would have had only 10% of the success of the “megan fox” product placement, they might actually justify the immense cost a bit better (millions of dollars paid by the advertiser to the movie makers to place products into the storyline of the movie).
And why is she “perfect,” in the marketing sense, of course? Her search volume has not only sustained but also continued to grow. She was not a flash in the pan that went away after the advertising/media dollars stopped or the public interest died off (see the snuggie and etrade search volume charts below).





transformer girl, second girl in transformers, other girl in transformers – Isabel Lucas





Tags: action, advertiser, advertising media, awareness, Babe, bad girl in transformers 2, bit, celebrity, chart, cost, course, decepticon girl in transformers, demand, digitally empowered consumers, enemy girl on transformers, etrade, evil transformer girl, filmography, films, flash, flash in the pan, Ford, fox, girl, girl from transformer movie, girl from transformers 2, girl from transfromers movie, girl in transformers 2 movie, girl on transformers, google, hot chick transformers 2, hot girl in transformers 2, hot girl movie, hot girl on transformers movie, hot transformer girl, interest, Isabel Lucas, lift, marketing, massive demand, Megan, megan fox, megan fox pics, megan fox search volume, megan fox transformers movie, Megan Fox, movie, movie makers, name, online, other hot girl in transformers 2, Perfect, perfect babe, perfect babes pics, period, photos of Isabel Lucas, photos of megan fox, photos of other hot girl in transformers 2, pics of megan fox, Placement, post, Product, product placement, product placements, public interest, robot girl in transformers, robot girl in transformers 2, scene, search, search volume, sense, sexy other girl in transformers 2, sexy robot girl, sexy transformer girl, snuggie, storyline, success, the girl in transformers, the name of the girl on transformer, total babe, transformer, transformer girl, transformers, transformers 2, transformers 2 girl, transformers 2 hot girl, transformers girl, transformers girls name, transformers movie, transformers movie girl name, transformers movie star, volume, volume chart, volume charts, who is the hot girl in transformers 2, yeah
My colleagues know I have argued against advertising’s ability to do “demand generation” — create need where there was none before. Instead I have always argued that advertising solves an awareness “missing link” for demand that was already there. In other words, a user has a need. Advertising puts a new product or a product that a particular user was simply not aware of before on his radar screen. And after further research, if the product fulfills that need he buys. Advertising rarely creates NEW demand. For example, we buy 4 quarts of milk per week because we have 2 kids. No amount of milk advertising will make us buy 5 quarts, because we simply don’t need it. Or, we’ve just bought a minivan. No amount of advertising, no matter how cool the family or the kids in the ad, will make us buy another mini van. If we just locked in health insurance this year, we are likely not to buy more or to switch, just because it is such a hassle. Make up more of your own examples.
But, I have to say, Carl Jr’s ad with Padma is really really making me want their bacon, barbecue sauce burger. Or is it just ANY bacon, barbecue sauce burger? Or wait, is there even a Carl Jr around here? hmm ….. I guess I’ll just look at the picture some more…
Padma devours fast food, Lindsay Lohan goes retro for Fornarina and vampire ads raise the stakes
March 30, 2009
-By Tim Nudd


Carl’s Jr. serves it piping hot.
When we learned in February that Padma Lakshmi was filming a commercial for Hardee’s/Carl’s Jr., it didn’t seem likely that the Top Chef host would make as big a splash as Paris Hilton did with her infamous car-wash spot for the fast-fo.od company in 2005. But Lakshmi has actually put her own impressively suggestive mark on burger advertising with the new ad, in which she makes sweet-and-savory love to a Western-bacon deluxe on the front steps of a city apartment building. Paris Hilton, please pack your knives and go.
read more….
Tags: 4 quarts, ability, ad rants padma, AdFreak, advertising, amount, ANY, apartment building, awareness, bacon, bacon cheeseburger, barbecue, barbecue sauce, Burger, car wash, Carl, Carl Jr, carl's jr. marketing, carls jr, carls jr ad, carls jr commercial, carls jr commercial girl, carls jr hot chick, carls jr tv ad, Chef, city apartment, commercial, demand, demand generation, example, family, fast food porn, February, food, Fornarina, front steps, generation, Hardee, hardee s, hassle, health, Hilton, hmm, host, hot girl burger commercial, hot girl eating hamburger, hot girl in burger commercial, hot girl licking burger, hot girl on top chef, hot indian girl in burger ad, hot indian girl in commercial, hot indian woman judge, hot pudma lakshmi, infamous car, insurance, Lakshmi, Lindsay, link, Lohan, March, matter, milk, milk advertising, mini, mini van, minivan, missing link, need, none, nudd, Padma, padma burger commercial, Padma Carl's Image, padma carls, padma carls jr, padma did ads for microsoft, padma hardee's, padma lakshmi, padma lakshmi burger, Padma Lakshmi Carl Jr, padma lakshmi love, padma on top chef, padma on twitter, padma photos, padma pics, padma something, Paris, paris hilton, picture, pictures of padma lakshmi, Product, radar, radar screen, research, retro, sauce, screen, Source, splash, Tim Nudd, top, top chef, top chef girl, top chef judge, topchef hot judge, tv ad, user, vampire, van, Week, western bacon cheeseburger commercial girl, year
List of 2009 Superbowl spots on AdAge.com
Lift in search is a great indicator of interest. Modern consumers may be inspired by TV ads, but they usually go online to do more research for themselves, to inform their own purchase decision. The following examples show the lift in search after Superbowl commercials or for launch of products like Subway Footlongs. The use of unique, made-up words makes it easier to detect lift in search (see related post: made up words are great for tracking buzz and search volume ). There is now a correlation between offline paid advertising and online behaviors of modern consumers that can be tracked and ultimately related to sales.
What is harder to do is track lift in search from smaller TV media buys or from terms which are generic — e.g. American Express OPEN, Proctor & Gamble’s TAG (men’s deoorant), etc. And furthermore, people may or may not remember the brand name itself and may type in a more general search query — e.g. “talking baby” instead of” e-Trade” or “dancing lizards” instead of “SoBe LifeWater.” And most people usually forget to type in special URLs specified in the ads. So the opportunity is to 1) use made-up words which can be used to detect lift in search and 2) search-optimize around other more generic terms that people may search for if they remembered the ad, but did not remember the brand name itself.
key learnings include:
1. only the superbowl TV ads generates enough awareness to drive lift in search volume detectable above the noise or normal levels
2. made up words are useful in correlating paid advertising and subsequent online actions (e.g. search) because most users forget or are too lazy to type special URLs
3. is is always better to have real analytics from the site to see when paid campaigns hit; site analytics will also reveal more information about users including demographic information, what they are looking for, and even whether they “convert” to a sale or a desired action — like print off a coupon, etc.
Notice the January spikes for several of the examples below — these are their Superbowl ads in action. But also notice how sharp the spikes are — most of them go back to prior levels within 1 – 3 days (see related post: the ephemerality of the Superbowl halo )
Source: Google Insights for Search









Tags: 2009 superbowl, action, adage, advertising, American, american express, amp, analytics, article article, article id, awareness, Baby, brand, buzz, com, correlation, dancing, decision, demographic information, deoorant, digital, E-Trade, Express, footlongs, Gamble, generic terms, indicator, information, interest, launch, LifeWater, lift, list, lizards, Modern, name, noise, offline, online, OPEN, opportunity, post, print, Proctor, purchase, purchase decision, query, research, sale, search, search and tv advertising, search query, search volume, SEO, site, SoBe, Subway, superbowl, superbowl commercials, TAG, track, Trade, tv ads, tv advertising, tv media, type, URLs, use, volume
Why the Click Is the Wrong Metric for Online Ads
http://adage.com/digital/article?article_id=134787
There is a whole ruckus around ad networks getting too little credit for helping to drive customers’ awareness and clicks for advertisers. In the past, ad networks wanted to claim credit for type-ins (people going to an advertiser’s site by typing the URL instead of clicking on an ad). They called this “view through” and the ad networks wanted these to be attributed to their showing the ad somewhere on their network.
Now they claim that getting credit for only the last-ad is not enough — the ad the user actually clicked on to get to the advertiser’s site, the one that can actually be tracked and properly attributed.
What’s at stake is the relatively large piece of “direct” or referrer-less traffic. Analytics packages can only assign these to type-ins or bookmarks since there was no referring site to attribute them to, let alone ad creative version, etc.
But while there is demonstrable lift in click rates when display ads and search ads are running at the same time — i.e. they reinforce and complement each other — it does not mean that ad networks can or should claim credit for the lift. After all, advertising running on another network COULD also cause a lift in results of ads running on another network if they are run simultaneously.
So the bottom line is if the click or the visit is not directly attributable, it should not be attributed.
Tags: ad attribution, ad metrics, ad networks claim credit, adage, advertiser, advertisers, advertising, analytics, article article, article id, awareness, bottom line, click, COULD, credit, digital article, display, ins, last-ad accounting, last-ad-attribution model, lift, line, low click through rates, Metric, network, no referrer click, online, past, piece, problem of attribution, referrerless click, ruckus, search, search ads, site, stake, time, traffic, URL, user, version, view, view through, visit
how do we judge the relative merit and effectiveness of different types of advertising? By finding a common parameter that can be used to compare “apples to apples.” We argue that cost of customer acquisition is a great candidate for such a parameter.
For example, if television advertising cost $50 million to produce and air, and 1,000 people came to the acquisition website, and 10 people applied for and received credit cards then the CCA — cost of customer acquisition would be $5 million ($50 million / 10 people who got the credit card). Of course television advertisers would claim that the “impressions” from TV would have “branded” millions more people and they would eventually get a credit card from the company. That’s possible. But for the purposes of this exercise, if there is no absolute end-to-end tracking, we don’t count it. Because, for example, many other possible scenarios can also occur, like the person saw this ad for a credit card but ended up getting a card from a different bank, they saw and remembered the ad but they already had several credit cards from the company, etc.
With “online” we can easily see lift in search activity around the time that brand/awareness advertising is in-flight. This is one of the best indicators of interest — the person saw the TV ad, and was inspired enough to go online to do more research to inform their own purchase decision. Modern consumers will typically search and then click through. In rare instances, they will type the URL, but it is usually the domain name, not the special URL — domain_name.com/special_url — just because of pure laziness or simply because they forgot the /special_url portion.
Now let’s look at a print example: a print ad cost $5 million to produce and traffic in targeted magazines. About 1,000 people came to the website and 10 people ended up purchasing the advertised product. So the CCA is $500,000 per customer acquired. There may be more people who saw the ad and eventually came in to buy a product. But again, there is a problem of attribution.
Now a final example from “online” marketing. Search ads were run using Google Adwords and a $1 CPC (cost per click) was paid. Of those people who clicked through 1 in 20 purchased a product. So it took 20 clicks at $1 each to achieve 1 sale – so the cost of customer acquisition is $20.
OK, so what about prodycts not sold online? We can use a proxy which has a known conversion to sales. For example, once a coupon is printed from the website, from historic data the advertiser knows that 30% end up using the coupon – i.e. redeeming with a purchase. So, again, if we used a $1 CPC and 1 in 20 ended up printing the coupon and 30% of those “converted” to an offline sale, the CCA would be $66.67 ($20/0.30).
So to recap
Television – $5 million CCA
Print – $500,000 CCA
Paid Search – $20 CCA
Paid Search + Offline Sale – $67 CCA
Tags: 5 million, 50 million, acquisition, acquisition website, activity, advertising, Adwords, apples to apples, attribution, awareness, bank, brand, brand awareness, candidate, card, CCA, click, com, company, cost, cost of customer acquisition, cost per acquired customer, coupon, course, CPC, credit, credit card acquisition costs, credit card customer acquisition, credit card customer acquisition costs, credit cards, customer, customer acquisition, customer acquisition cost, customer acquisition credit cards cost, decision, domain, effectiveness, example, exercise, google, impressions, interest, laziness, marketing, merit, Modern, name, offline, online, parameter, person, portion, print, problem, Product, purchase, purchase decision, rare instances, relative merit, research, sale, scenarios, search, search activity, Television, television advertisers, television advertising, time, tracking, traffic, tv ad, type, URL, url domain name, url portion, website