lift
Source: http://blog.compete.com/2012/01/05/affiliates-pining-for-pinterest/
AUTHOR: Lindsey Mark, Compete.com — January 5, 2012 at 3:33 pm

Image from: akva / ShutterstockPinterest is the new popular kid on the Internet, getting featured in media outlets like celebrity gossip does on tabloids. What people aren’t talking about however is the opportunity that exists for more ‘behind the scenes businesses.’ Those amazing symbiotic or parasitic relationships where third parties benefit from Pinterest’s new hype, sort of like Entourage™ with a cast of publishers, affiliates, and merchants.
There are a few smart blogs out there talking about these trends, some are funny, like Regretsy.com’s compare and save section that features sellers that are ripping off buyers by reselling manufactured products for higher prices. Classic and often humorous examples of parasitic relationships.
Laughs aside, let’s take a look at one affiliate that’s been seeing some positive lift from Pinterest’s new-found fame. SkimLinks, an affiliate marketing technology with a “sweet twist” helps content creators and curators automate. Most publishers spend a majority of their time working on content and selling ad space. With SkimLinks, connecting affiliate links to content seems* like a snap and appears to be popular amongst monetized ‘pinners’ as a good option outside of the Amazon Affiliate Network. If November is any indication, the Pinterest & SkimLinks relationship is budding with Pinterest beating out Twitter as their number one inbound traffic referrer with a 9.47% Share of inbound traffic to the site. On the converse, SkimResources.com (a SkimLinks url) is ranked number 10 with 0.94% of outgoing traffic from Pinterest.com, just behind large networks like Etsy.com, Bing.com, YouTube.com, and Live.com. I anticipate that merchants that work with SkimLinks will have good things happen for them if Pinterest continues on the upswing, particularly as it’s often been framed in the context of wishlists & gifting.


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Source: http://www.businessinsider.com/chart-of-the-day-construction-of-gdp-over-time-2011-10
This is a big, beautiful chart of GDP since 2007 put together by Doug Short.
In addition to showing GDP, it also makes it very easy to see the components, and how they have broken down each quarter.
Two things stand out in the current quarter.
First is that the consumer — the blue bar — really stepped it up in a big way, fueling the lift.
The other thing that stands out is that government consumption, purple, stopped being a drag on things.

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godaddy superbowl ad spending led to sharp spikes in search volume every February for the last 5 years straight. Other advertisers who spent on Superbowl ads have similar lift in search volume from the TV advertising.

Source: Google Insights for Search
If you believe that lift in search volume indicates interest and intent and if you consider that each 30-second ad cost $3 million in 2009 (WSJ: NBC Super Bowl Ads to Cost $3 Million) and assuming GoDaddy’s ad did not air more than once, they spent $3 million to get their ad in front of a TON of people and to get people’s attention. Those people who saw the ad and were interested enough to take action went online and searched for more information by typing godaddy into search (see lift in search volume during February of each year) .
If we assume that it took $3 million to generate a certain lift in search we can use multiples to calculate the media dollar equivalent of any lift in search — for example, if godaddy spent $3 million to get X lift in search, then a 2X lift in search would have required $6 million of media (in a very very simplified back of the envelope estimate; it usually would cost more than 2x to get that lift) — i.e. it would have cost at least $6 million in superbowl ad media dollars to achieve a 2X lift in search volume.
So, if we now compare search volume on megan fox side by side with godaddy search volume, we will see that in Feb 2009 Megan Fox was indexing at 21 while godaddy was indexing at 12 (this is normalized to a scale of 0 – 100). So search volume on megan fox indicates she was getting the equivalent value to $6 million of super bowl media ad spend – FOR FREE — roughly 2X the search volume of godaddy in the same time period.

At the peak of her search volume in June 2009 (corresponding to the release of Transformers 2: The Revenge of the Fallen), she was indexing at 100 and godaddy at 7. This is 8x the index of godaddy of 12 during the Feb 2009 time period when they were airing their superbowl ads. This implies that she was getting the search volume that would have required the equivalent to a $24 million super bowl ad spend to achieve — again for FREE!

If you want to research futher, use the following link to bring up Google Insights for Search to see relative search volume
In February 2008, Megan Fox indexed at 8 and GoDaddy at 8. In 2008, Superbowl ad spots cost only $2.7 million — so she had the equivalent search volume as a paid advertising spending $2.7 million on a Superbowl ad.
In 2007, Godaddy indexed at 6 during Feb 2007 Superbowl. Megan Fox indexed at 43 during the July release of the first Transformers movie — this is an 8X multiple on Superbowl ads that cost $2.6 million — or $21 million
So the perfect “product placement” of Megan Fox in the two Transformers movies garnered her nearly $50 million worth of advertising based on search volume equivalency. This does not even take into account her sustained and increasing search volume, compared to most advertisers’ search volumes which drop right back down to pre-ad levels once the ad is finished airing.
Tags: 2009 superbowl ad rates, 6 million, account, action, advertisers, advertising, attention, Bowl, cost, cost of super bowl ads in 2007, cost of super bowl ads in 2008, cost of super bowl ads in 2009, dollar, dollar equivalent, envelope, equivalent, equivalent value, estimate, example, Fallen, Feb, February, fox, FREE, front, futher, godaddy, godaddy superbowl ad spending, google, index, information, intent, interest, July, June, lift, link, Megan, megan fox, Million, movie, NBC, online, peak, period, Placement, Product, release, Revenge, same time period, scale, search, search volume, search volume equivalency, side, spending, spikes, Super, super bowl, super bowl ad, super bowl ads, superbow, superbowl, superbowl ad, superbowl ads, time, TON, transformers, tv advertising, use, value, volume, WSJ, X, year
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, 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
if it is, it’s a LOT harder for users to find you
TAG – men’s personal care line from Proctor & Gamble – hard to pick out from other search results on “tag.” The brands have to use paid search ads to show up.


serch engine optimization is critical, otherwise, looking at the following graphs, there is no way to tell when a brand launched or when they have campaigns in market, because the volume of search on the generic term is so great, the lift in search volume due to paid advertising is not detectable.




Tags: advertising, amp, brand, campaigns, care, engine, engine optimization, Gamble, generic term, graphs, lift, line, lot, market, optimization, personal care, Proctor, search, search ads, search volume, serch, TAG, term, volume, way
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 (Display) Ads
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, COULD, credit, digital article, display, display ad networks, display ads, display advertising, 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, targeting, time, traffic, URL, user, version, view, view through, visit
grilling is very consistently seasonal (more searches in summer)

Valentines peaks every February

barbecue recipe is seasonal (more searches in summer)

brownie recipe is not that seasonal (a little lift in December)

Tags: barbecue, barbecue recipe, brownie, brownie recipes, brownie search, December, examples-of-barbequing-recipes, February, lift, recipe, recipes for brownies, search, search for barbecue, search volume, seasonal search volume, seasonality, summer, top searches in december, top searches in summer, Valentines