single
What do I see? Utter, Unfathomable Inefficiency – that is retail as we know it
Have a look at the 2 pictures below taken at a mall-attached large chain retailer. Not a SINGLE customer in the store. Practically every rack had a red and white sale sign on it. Look at the multiple sizes of each item that have to be made available.
Now consider this.
What is the probability of someone walking through the store to this location, finding an article of clothing that is subjectively pleasing and desirable enough for the person to pick it up and consider the price. Consider if this is a nice to have or need to have item. Further consider the price and whether it is higher or lower than the clearing price — the price at which the user (in that particular user’s mind) thinks it is a good deal and decides to buy it. What is known is the quantity of work needed to inventory, merchandise, display all the products. What is not known very well is the probability of a sale for any or all of the items in the store.
Further consider the redundant inventory of similar (or the same) generic products — redundant because multiple stores attached to the same mall carry pretty much the same generic stuff. Even brand names provide little differentiation or value add. And celebrity designers and endorsers such as Kimora, Cindy, Kathy, or even Jaclyn Smith don’t help. The entire Kimora section was just as deserted as the second photo in this bunch.
Even Major Sites are Not Yet Benefiting From the Full Power of Search
@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 )

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