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Archive for June, 2007

Ebay vs. Google - another manic Monday

 

 Ebay pulled all of their ads from Google last week due to a variety of issues.  John Batelle got a note from Ebay communications, announcing they’re back up and running.  Key sentence here:  The test we began last week was successful. We found that we were not as dependent on Google AdWords as some may have thought. By re-allocating our marketing dollars to our other partners, such as Yahoo!, AOL and MSN, we were able to increase traffic and find efficiencies that will enable us to drive more value to our sellers and partners going forward.  It would seem that continually testing which PPC engines yield the best return, and the tortured language suggests there’s more to the story.  Scott Wingo has a great post on the impact on Ebay sellers.

Reporters reading blog comments to find sources for stories? 

Do URL extensions cause issues in Google?

Latest trends in adoption of Google Checkout, Paypal, and Bill Me Later. 

Ever wondered if your blog’s popular?  Google Webmaster Tools, once you register, lets you see all incoming links to your blog.  You can always find some interesting links.  I just noticed that TryBuyShop.com tends to steal the postings from shop.org, and post them on their site. 

Josh

Losing Steam or Part of a Bigger Story?

A few thoughts on Sunday’s New York Times article, “Online Sales Lose Steam.”

  • The placement of the story, front page, above the fold, in the Sunday paper, seems misaligned with the topic’s importance.  Online sales in 2006 were nearly a quarter trillion dollars.  It shouldn’t be a surprise that the growth rates are slowing down.
  • It’s great to see stories that reference retailers “livening up their stores to be more appealing.”  Perhaps this is the result of competitive pressure from online only retailers.  Or, maybe the Internet has helped improve the store-buying experience by allowing customers to find deep product information before they go to the store, thus being a better educated customer when they walk through a store’s doors.  Or, maybe the convenience of shopping from the comfort of your home at any hour also contributes to consumers feeling better about shopping. 
  • Are online retailers really giving customers a “blasé” experience as the article suggests?  If blasé means that customers are more satisfied, then so be it.  In 2006, Amazon.com and Overstock.com were included in the top five companies honored with the “Customers’ Choice” award, given to companies that have achieved a reputation for excellence in customer service by the NRF Foundation/American Express Customer Service Survey.  
  • It’s time to stop thinking about “online retail,” as its own industry and start thinking about it as part of the overall retail industry.  Whether its online, catalog or stores – they’re serving the same customers.  And, if there was any doubt that they are inextricably linked, look at some of the data about how online influences offline sales. According to JupiterResearch, in 2007, the Internet will influence nearly 600% more sales offline than it will generate online.

Please feel free to share any other thoughts about this topic.

 

How to spend PPC management time wisely

This post is a summary of two long posts by George Michie of RKG about how to spend PPC management time wisely, whether running PPC in-house or through an agency. The original posts can be found here (31 Tips For Using Your Pay-Per-Click Management Effort Wisely) and here (PPC: Spending Your Time On What Matters).

For direct marketers, PPC costs need to be in line with PPC revenue. That same logic should be applied to how your team allocates its time.

A company can feed as many analysts as it wants to into the maw of Search Engine Marketing. There is an infinite amount of work to be done. However, the amount of work that is valuable enough to cover the cost of having someone do it is limited.

Paying someone to do work that produces little or no incremental value is bad business. Paying someone to do work that is worth less than other work s/he could be doing is also unprofitable.

Understanding the relative importance of different components of your PPC campaign may help retailers to allocate management resources more appropriately.

In catalog marketing we talk about: list, offer, package. “List” meaning the mailing lists; “offer” meaning the products and price points; and “package” meaning the catalog itself: cover art, layout, copy, paper, etc. As any good direct mailer knows the relative value of each of these pieces is something like: List 75%, Offer 20%, Package 5%.

The search analogy is:

  1. The Term List: 50%
  2. The Bidding Logic: 30%
  3. Landing Pages/Selection/Offer: 15%
  4. Ad Copy
    1. Getting Offer Copy out when appropriate: 3%
    2. Getting “Why Shop Message” right: 2%
    3. Tweaking the wording: 0%
    4. “Refreshing” the copy: 0%

Clearly, if any one of these is really awful it can render the others irrelevant. However, assuming the program is reasonably healthy here’s how I’d recommend allocating human resources:

Term List Maintenance: 10% - 30%

Whether your business is closer to 10% or 30% depends on how thorough the list is already, how complex your business is as measured by the number of product categories, manufacturer brands, and SKUs you carry, and how much turn-over you have in your product offerings.

  • Look for new and different combinations of words from product names, SKUs, manufacturers.
  • Study the actual user searches that led to the clicks, particularly those that convert.
  • Use product feed updates periodically to catch the new additions with particular attention to new manufacturers/lines.
  • Drop terms that reference products no longer carried.
  • Spend time on the site studying how products are described and presented.
  • Don’t burn time with machine generated lists.
  • Don’t waste time studying Hitwise reports of terms that “are big” for your competitors.
  • Keep an eye on the performance of these new terms.

Landing Page Tests/Design/Research: 5% – 15%

Again, you’ll want to spend time wisely here. Frontload your efforts, spending more time on this early in the program than later.

  • Test search results pages against sub-category pages early and pick the winner.
  • If you have the ability to test different mock-ups of the winning template do so.
  • Test dedicated landing pages for extraordinarily high traffic terms that perform reasonably well.
  • Study what products are sold from the top keywords and consider constructing landing pages for those keywords that highlight those products.
  • A/B test homepage versions for brand terms if you have sufficient traffic.
  • Don’t test whispers, test shouts. Finding statistically significant differences is hard on a good site. Focus on testing big concepts, not nuances.

Ad Copy Testing/Maintenance: 5% – 10%

People spend too much time on copy, but that doesn’t mean it’s unwise to spend any time on it. Copy maintenance can be extremely time consuming, so make sure you don’t over invest.

  • Initially, test which unique selling proposition works best for you as a tag line.
  • Write modular copy, so that the line 2 and line 3 copy can be swapped out without breaking a sentence.
  • Test offer copy vs standard copy at the first opportunity of a site wide sales event.
  • If the previous test supports it, roll out relevant offer copy whenever the offer is wide enough to justify the time.

Data/Bidding Analysis: 50% – 90%

There is far more gold to be found in the mountain of data than in any other area. The hours spent by a sharp, experienced analyst studying data, looking for trends, finding opportunities and refining the bidding logic will almost always produce more ROI than the other activities.

The list is endless, but here are some ideas:

  • Study performance by product category, sub-category, manufacturer brand, etc.
  • Study performance by landing page.
  • Study the above in the context of seasons and changes in product mix.
  • Assess the impact of time of day and day of week on performance. Fold findings into the bidding algorithm.
  • Look for commonalities that don’t fit into the groupings above “terms with the word ‘foo’ in them do better/worse than their cousins”.
  • Assess the keyword level data over longer and shorter time windows.
  • How much spillover is there from the search program to the call center or the retail stores?
  • What fraction of the buyers are new to file vs existing customers? Does that vary by product category?
  • How does traffic coming in on broad match perform compared to the traffic coming in on exact match?
  • How does traffic from the Google syndication network perform vs traffic from Google.com?
  • Does our bidding correctly reflect margin differences between different types of products? Can we tie that tighter? Do people searching for “V Neck Sweaters” actually buy sweaters?
  • How do orders come in over time since the last click through? Does that order curve suggest a longer or shorter cookie duration?
  • What kind of interaction is there between search and other online ads?

These types of analyses produce much greater return on investment than most other projects. However, finding nuggets of gold takes hard work, and persistence. However, by putting more time into analysis and less time into low value projects, you’ll get more from your PPC program.

Original posts: 31 Tips For Using Your Pay-Per-Click Management Effort Wisely and PPC: Spending Your Time On What Matters

Great Monday links

Great SEO article from Seattle SMX…   Post of the week.  When you print it out, you know it’s a good post.

2nd life not yet driving real life sales.

Life of a farm blog  Sometimes a blog is completely different enough that you stop to see how different people live.  Here’s life on a farm.  Nice piece of sponsored writing, by a tractor company.
Keyword Search top tools for buying decisions

Do online conversion rates differ by business model?  Yes, but sometimes it’s nice to see the numbers.

Scott Wingo’s thoughts on Internet Retailer vs. Ebay live 

Interesting thought: Twitter to drive retail sales:

Internet Retailer thoughts from Greg Howlett

CRitique on “last click” attribution

We recently announced we’re closing the mall based Discovery Stores, while DiscoveryStore.com stays open. Sample articles/comments follow… you can see the different focus in the communities, from FatWallet and discounts, to Gizmodo and “geeks weeping”, to a local Portland blog, Digg, Yelp, and others.

GAP: We’d like your email and zip code, please.

When I checked out at the Gap last weekend, I noticed that the POS terminal, after I swiped my credit card, asked for both my email address and zip code.  It popped an onscreen keyboard that I could use the stylus to type in the information.  There was a conveniently located cancel button if I choose not to enter.  I hadn’t seen this before; the only information I could find was this 2002 press release from Gap.  Has anyone seen this from other retailers?

Josh 

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