Showing posts with label optimization. Show all posts
Showing posts with label optimization. Show all posts

Wednesday, December 3, 2008

Web Marketing That Hopes to Learn What Attracts a Click


ONLINE advertisers are not lacking in choices: They can display their ads in any color, on any site, with any message, to any audience, with any image.

Now, a new breed of companies is trying to tackle all of those options and determine what ad works for a specific audience. They are creating hundreds of versions of clients’ online ads, changing elements like color, type font, message, and image to see what combination draws clicks on a particular site or from a specific audience.

It is technology that could cause a shift in the advertising world. The creators and designers of ads have long believed that a clever idea or emotional resonance drives an ad’s success. But that argument may be difficult to make when analysis suggests that it is not an ad’s brilliant tagline but its pale-yellow background and sans serif font that attracts customers.

The question is, “how do we combine creative energy, which is a manual and sort of qualitative exercise, with the raw processing power of computing, which is all about quantitative data?” said Tim Hanlon, executive vice president of VivaKi Ventures, the investment unit of Publicis Groupe.

“I think it’s clear that the traditional process of agencies is clearly not going to survive the digital era without significant changes to our approaches,” Mr. Hanlon said.

The push to automate the creative elements of ad units is coming from two companies in California, not Madison Avenue.

Adisn, based in Long Beach, and Tumri, based in Mountain View, are working both sides of the ad equation. On one, they are trying to figure out who is looking at a page by using a mix of behavioral targeting and analysis of the page’s content. On the other side, they are assembling an ad on the fly that is meant to appeal to that person.

Both companies assume there is no perfect version of an ad, and instead assemble hundreds of different versions that are displayed on Web sites where their clients have bought ad space, showing versions of an ad to actual consumers as they browse the Web.

That might lead to finding that an ad for a baby supply store is more popular with young mothers when it features a bottle instead of diapers.

(Adisn and Tumri both measure the ad’s effectiveness based on parameters the advertiser sets, like how many people clicked on the ad or how many people actually bought something after clicking on it. They compare those with standard ads they run as part of a control group.)

Adisn’s approach has been to build a database of related words so it can assess the content of a Web site or blog based on the words on its pages.

Adisn then buys space on Web sites, and uses its information to find an appropriate ad to show visitors to those sites. If a visitor views pages about beaches, weather and Hawaii, it might suggest that the visitor is interested in Hawaiian travel.

Based on that analysis, Adisn’s system pulls different components — actors, fonts, background images — to make an ad. For example, it might show an ad with a blue background, an image of a beach, and a text about tickets to Hawaii. “Once we’ve built this huge database of hundreds of millions of relationships” between words, said Andy Moeck, the chief executive of Adisn, the system can “make a very good real-time decision as to what is the most relevant or appropriate campaign we could show.”

Simple Green, the cleaning brand, began working with Adisn this year to advertise a new line of products called Simple Green Naturals.

“If it’s a woman looking at a kitchen with a stainless steel refrigerator, they can show a stainless steel product,” said Jessica Frandson, the vice president for marketing for Simple Green. While Ms. Frandson gave Adisn a general idea of what she wanted, she also let the agency do almost random combinations with about 10 percent of her ads to see which of those combinations had the highest click-through rates.

“If it wants to be purple and orange, if that’s going to be appealing to my customer, then so be it,” she said.

Even Mr. Moeck said he was often surprised by the success of certain ads. “Some of it, I just scratch my head and say, ‘I have no idea,’ ” he said.

Tumri’s approach is slightly different. It creates a template for ads, including slots for the message, the color, the image and other elements.

Unlike Adisn, it does not buy ad space, but lets clients — like Sears and Best Buy — choose and buy space on sites themselves. And rather than building a contextual database like Adisn, Tumri uses whatever targeting approach advertisers are already using, whether it is behavioral or contextual or demographic, and assembles an ad on the fly based on that information.

“It’s reporting back to the advertiser and agency saying, ‘Guess what? The soccer mom in Indiana likes background three, which was pink, likes image four, which was the S.U.V., and likes marketing message 12, about room, safety and comfort,” said Calvin Lui, chief of Tumri.

Some advertisers are using that information just to see which version of the ad works best, but Mr. Lui emphasized that the appropriate ad is not static, and changes all the time as content on the page changes.

While the planners and buyers in advertising agencies are intrigued by the idea of measuring each part of an ad, the creative staff that designs ads is less focused on measurement and more focused on the overall effect.

“I think the creative community has to get very comfortable with results-based outcomes in marketing,” said Mr. Hanlon, whose company has an interest in Tumri. “There are a lot of creative people who didn’t sign up for that kind of world.”

Bant Breen, the president of worldwide digital communications at Initiative, the Interpublic Group media buying and planning firm, had a similar view. “The traditional creative process right now is not structured to essentially deliver hundreds of permutations, or hundreds of ideas for messaging,” said Mr. Breen, whose firm is using Tumri to determine which ads are working.

“There’s no doubt that there will be a lot of data that can be collected that could be applied to the creative process.”

But, he said, “that’s not necessarily an easy discussion to have with great art directors.”

Saturday, September 8, 2007

Google Adds Three Features To Website Optimizer

Sep. 5, 2007 at 2:43pm Eastern by Barry Schwartz

Google Adds Three Features To Website Optimizer

The Inside AdWords blog announced three new features for Website Optimizer. The features include:

  • A method of creating A/B testing experiments
  • Easy access to Website Optimizer within My Client Center
  • Sorting experiments by most recent and the ability to delete experiments

Tuesday, August 21, 2007

Integrated SEM,SEO,Adserving + data to increase targeting and optimization across our ecosystem

This is an interesting trend and direction in the market. Moving towards integrated data that feeds intelligence back and forth from SEO,SEM etc to ad campaigns running on and offline. As a future part of our ecosystem it would be very beneficial to have our different systems and solutions passing data back and forth to enhance the clients campaigns and media performance from advario to SEM, SEO to Advaliant. Since they are all sitting on the same platform this can be done and would be EXTREMELY powerful and unique. The ultimate targeting and optimization!!! Food and product for thought and future development as an ecosystem module/function.
Range Online Launches 'Next-Gen' Search Reporting/Modeling Tool
by Tameka Kee, Tuesday, Aug 21, 2007 6:00 AM ET
RANGE ONLINE MEDIA, A FORT Worth, TX-based search and digital marketing company, has launched the second generation of its Strategic Results System (SRS)--a reporting and measurement platform that merges data from paid and natural search efforts, feeds and other emerging media, as well as third-party analytics and ad servers like Bluestreak.

Clients like Cole Haan, Toshiba and The Container Store can use the SRS tool to evaluate their digital marketing campaigns, with analysis ranging from keyword-specific paid and organic search details to cross-vertical reports on campaign performance trends and search activity seasonality.

The ability to incorporate data from third parties like Google and Eyeblaster was integral to Range's upgrade of SRS. According to Misty Locke, Range's co-founder and president, "SRS' ability to merge data from any source that a client is working with means that we can better help them gauge the health of their business as a whole. They get a clearer view with fewer reports to look at." The scalability also allows Range to pair online campaign data with off-line strategy info. "From email campaigns, to TV spots, clients can plug in data from wherever they're running media and see how all the channels are working together," said Locke. "The data also lends itself to creative testing."

While Range clients have direct access to the SRS data warehouse, the software is seen as a complement--not a replacement--for human insight. "With massive amounts of data, you need automation for speed and efficiency, but not without human insight to make business decisions," said Locke. "Our clients want more than a black box solution, because there's no technology that can effectively analyze the customer intent that underlies SEM, SEO, and overall market trends."

Tameka Kee can be reached at tameka@mediapost.com

Wednesday, August 15, 2007

Comparison Shopping Site Analytics and Optimization

Comparison Shopping Site Analytics and Optimization
By Sally Curran
August 14, 2007

Comparison shopping engines (CSE) are a valuable sales channel for e-tailers, but as is the case with any marketing plan, you have to track performance and continually adjust your campaign accordingly to get the most out of the effort.


Michael Lambert, CEO of MerchantAdvantage, a company that provides CSE feed management and analytics, recently outlined approaches to successful CSE statistical analysis for those wondering how to interpret the data these sites provide. Lambert discussed what level of tracking detail is necessary to help e-tailers with marketing decisions and why it's necessary and showed how some performance-tracking data can be misinterpreted, and therefore, cause marketers to make poor choices about their campaigns. Before getting into the details of analysis, however, he offered the following tips for listing at and analysis of CSEs:

  • Optimize content by providing as many product attributes as possible — most CSEs don't require much information, but by filling out all the data fields available, you increase your click-to-purchase ratios and return-on-ad spending.
  • Optimize product inventory by removing high-cost per-click items with low or no sales, but do not remove items with low or no-cost per click, and he emphasizes this, regardless of sales performance.
  • Reporting tools should cover clicks and purchases — not just clicks — and e-tailers should prioritize their analysis by focusing first on high-click costs on products with low sales within a specific channel and then on any products or categories with low sales within a channel. Sellers should also test new products within a channel and watch their performance.
Too Much Of A Good Thing?
To illustrate how some performance-tracking mechanisms don't always provide positive outcomes, Lambert first explained how CSEs work to track consumers. Perhaps a consumer is in the market for an indoor bike trainer. He heads to a CSE, mulls the options the site provides, and clicks the one he feels best suits him. The site shoots the Lance Armstrong-wanna be to a redirect page, which is the first point of tracking. From there, he lands at the product page, where he (hopefully) puts the product in his shopping cart and checks out. Finally, he ends up at the thank you or invoice page, which is the most important tracking point of all. After all, marketing is all about sales. Lambert then pointed out that some performance-monitoring systems insert a tracking point between the redirect page and the product page, which he believes to be risky. While not likely, there could be an Internet-connection failure or computer glitch at that point, which could prevent the consumer from reaching the product page. He said there's no reason to introduce another point of failure and that you'll otherwise glean enough data to make informed marketing decisions.

The Devil's In The Details
Lambert emphasized that it's important to strike a balance between too much information and not enough, so that marketers can make informed decisions about how best to present their products to consumers. Ideally, when evaluating data about CSEs, you'll want to know which CSE the consumer came from, the product code, the approximate cost-per- click and the keywords for which the consumer searched. The MerchantAdvantage chief also recommends that e-tailers review the click-through path of the consumer: If while searching for his trainer, the biker also bought a helmet, it's important to know that the click for the trainer led to the sale of the helmet. Otherwise, the tracking is misleading. In regard to evaluating the statistics, ratios are best for evaluating performance. A reasonable click-to-purchase ratio, Lambert said, is key. Marketers need to know where each click came from and the approximate cost-per-click. To make sure your statistics aren't tainted, Lambert said it's important to keep product information updated. Most CSEs grab product information from product sites, so merchants need to be vigilant about keeping prices and information accurate. He also said that marketing high-performing products through CSEs and not including your slow-moving products is tempting, but to be wary: Striking the right balance of products sent to CSEs — without losing critical mass — is important.

Tips for Optimizing Feeds
And, if you're wondering how to optimize your CSE feeds, Leigh Vosler, of SierraTradingPost, recently outlined 22 tips at the July Shop.org merchandising conference in San Diego. Some key advice from Vosler includes the following: watch and budget for the Q4 CPC price increase that occurs on nearly all engines, request the product categories from each of the shopping engines and take the time to map your products to the CSE categories for quicker and better data matching and remember that return-on-ad-spending is not important if you are bidding too low to be found on the engine in the first place. Alan Rimm-Kaufman of Rimm-Kaufman Group, a search marketing agency located in Charlottesville, Va., also participated in the panel and posted the entire list at his blog here. Sally Marek Curran is a regular contributor to ECommerce-Guide.com.

Saturday, March 17, 2007

How we doubled our conversions using the Google Web Optimizer





http://www.scrollinondubs.com/category/nerd/
How we doubled our conversions using the Google Web Optimizer
February 22nd, 2007 by sean
If there's one concept you learn this month that has the single greatest potential to improve the profitability of your site, the power of DIY multivariate analysis using the Web Optimizer is it. Let me explain.
What is Multivariate analysis and why should you care?
Multivariate analysis in the context of web sites is the science of changing elements on a page and studying the effect they have on your visitors' behavior. If you have a web site, presumably you already have a goal and your site facilitates a behavior from visitors that contributes towards achieving that goal. There is likely a desired outcome you're seeking on each visit - an action you want that person on the other side of the wire to take such as filling out a contact form or purchasing a product. This desired outcome is known as a conversion.
Improving your conversion ratio even one percent can lead to massive improvements in sales and profitability. This calculator is a simple way to run some what-if scenarios given your current order size, traffic and sales numbers. The easiest way to understand the benefit of improved conversion is to think about it as "miles per gallon" on a vehicle- think how much gas you would save if you doubled the fuel efficiency of your engine? But it's even better with web traffic. If your current cost per acquisition for a customer is $5 per customer given all your fixed design/development/hosting costs and marginal costs like advertising, converting twice as many visitors with zero additional cost can bring your cpa down to around a dollar. This has a dramatic effect on profitability of your operation - the effect on profitability is non-linear especially if you feed the savings back into targeted promotion.
How GWO works
So now that you understand the value of improving conversion, let's talk about how GWO specifically does it. Google Web Optimizer is javascript-based multivariate analysis tool that gives you the ability to test different versions of key pages on your site to determine the winning formula that produces the highest conversion. You set up experiments and GWO will dynamically serve different flavors of the same page randomly to different visitors and record the number of resulting conversions. The empirical data is then presented in a graph like the one below. Provided you have enough traffic to produce significant results, the tool reveals the winning combination along with the confidence level of the suggestion (ie. the statistical significance).

You can see that Graphic #4 outperformed the others and crushed the original graphic by almost double.
And the winner is…
So this is all nice in theory but let's take a look at a concrete example of how this helped us refine our messaging on the JumpBox site. A week ago I set up GWO on the JumpBox homepage and tested five different versions of the main graphic. Here's the five versions I tested:

Can you guess which one performed the best?

Google University Optimization








Plan Before You Test
by Bryan EisenbergCase studies often provide insight, but identifying and testing specific variables is the best way to find out what works for your business.


Increasing Conversions with Internal Site Search
by Matthew KulickBy combining the Google Mini’s internal search capabilities with the informative reporting of Google Analytics, site owners can begin evaluating their site search experience from a visitor-centric perspective.


Monitoring Visitor Conversion
by Jim Novo
Few people use visitor analysis in an actionable way. Learn how to create key metrics that you can act upon and learn how to use them by measuring, managing, and maximizing.


Two Metrics For You
by Jim NovoLearn two metrics that are useful regardlesss of what kind of site you have. Both are focused on the biggest problem most sites have - getting visitors to go past the first page they see on your site.


The Four Parts of Web Optimization
by Neil MasonWeb analytics doesn't exist in a vacuum. Learn how market research, surveys, and technical site analysis can complement web analytics.