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Website Magazine Articles on Internet Advertising

The following are articles related to Web publishing from the archives of Website Magazine. These articles are ordered by the date they appear in the print edition of Website Magazine (the last article in this list is the most recent). For daily coverage of all things Web related including online publishing, please visit the Website Magazine Daily Blog.
 

Recent Articles on Internet Advertising from the February 2008 Issue of Website Magazine:

Managing Your PPC Campaign Budget : Although no one can explicitly tell you how much money you should be allotting to a certain keyword, or how much to designate for each search engine, there are a few best practices and industry insights that can guide you in determining where your budget should go and why.

PPC Accountability : Is Tracking ROI Actually Hurting Your Business?   For e-commerce companies and Internet retailers, measuring and managing return-on-investment (ROI) seems to be the Holy Grail of pay-per-click (PPC) accountability. Everyone seems to be working toward the day when they can measure and adjust their PPC campaigns by the actual  profit-contribution-per-dollar-spent.

Articles on Internet Advertising from the November 2007 Issue of Website Magazine:


Articles on Internet Advertising from the August 2007 issue of Website Magazine:


Archived articles on Internet Advertising from WM:

Capitalize on Your Data with Predictive Analytics

Attracting and retaining customers is the primary goal of any business, be it a major corporation or a small, at home enterprise. One of the advantages of Web-based business is the availability of key data from which to measure performance.

There exists one of these processes that can analyze buyers’ profiles, allowing marketers and managers to predict consumer preferences on an individual basis. It’s called Predictive Analytics.

What makes Predictive Analytics unique is that it enables companies to customize a marketing and retention campaign message for each customer. Predictive Analytics is the only type of analytics that produces predictive scores for each customer.

Businesses and Customers benefit by:

  • Determining they types of items or services customers are likely to purchase next, or which customers are likely to migrate elsewhere
  • Churn is reduced and customer satisfaction is increased
  • Products and services are delivered that meet the exact needs of the client

For a more in-depth review, I interviewed a specialist on the topic. Dr. Eric Siegel is a former computer science professor at Columbia University and the President of Prediction Impact, a Predictive Analytics consulting and training company based in San Francisco, CA.

What is Predictive Analytics and what does it accomplish?

Predictive Analytics is business intelligence technology that produces predictive scores for each individual customer or prospect. What you need to do before employing Predictive Analytics is first decide which customer behavior will be most valuable to predict – such as predicting which customer is most likely to respond to an offer or which customer is most likely to cancel their subscription. And the next thing you need to do is prepare the data. Your data, which is essentially your organization’s collective experience, is leveraged by predictive analytics to produce predictive models, and in so doing you’re actually learning from experience.

What kind of investment in infrastructure required?

Well, you can start with a pilot initiative for very little, in the way of hardware and software requirements. And this is also a place to start – to achieve a proof-of-principle, demonstrating what kind of return-on-investment can be achieved, such as improved customer retention or increased profitability of a campaign. In this case, the core predictive modeling can usually be done with free evaluation software licenses or with a free open-source tool.

Having said that, it’s important to note that you do need expertise in Predictive Analytics – by way of internal resources, employing professional services or both. This expertise is needed to optimally position the technology in order to determine the kind of behavior that’s going to be most valuable to predict on the business side. More technically, what data is required to achieve that prediction goal, and how do you prepare the existing data so that the resulting predictions you end up getting will be accurate and business-actionable? And then you apply what’s learned by way of directing, let’s say, a retention campaign. Or, selecting targeted content on a per-customer basis based on what product or message each customer is most likely to respond.

How do companies benefit?

The business case for a Predictive Analytics initiative is clear. Knowing which customers are worth targeting for a specified offer is about as actionable as business intelligence can get.

To be more specific, let’s say we generate scores to predict the risk each customer has of canceling or defecting from a subscription-based service. Targeted customer retention has impacts on such businesses — such as ISPs, magazine subscriptions, online dating … you name it.

Retention offers - say discounts - are usually expensive. You can’t extend the offer to all subscribers. The only way to target a retention campaign precisely where it’s needed is with predictive scores that earmark which customers are most likely to leave. When you follow these predictions, you don’t expend the cost of the offer on customers that don’t need it. So, the campaign ROI is much better, growth rates improve and bottom-line profit increases.

In general, with Predictive Analytics each customer’s predictive score informs actions to be taken with that customer. You just can’t get more actionable than that.

 

About the Author: Bill Cullifer is an Executive Director and Founder of the non-profit professional association World Organization of Webmasters (WOW). Learn more at www.webprofessionals.org. For in depth interviews, case studies and more visit www.predictiveanalytics.org.

Managing Your PPC Campaign Budget

by Kevin Amos VP of Strategic Planning, IMPAQT

So you’ve begun the process of setting up your pay per click (PPC) campaign. While there are hundreds of articles and discussion boards on the importance of setting up goals and expectations and of course keyword research; there is not much information about budget allocation. Although no one can explicitly tell you how much money you should be allotting to a certain keyword, or how much to designate for each search engine, there are a few best practices and industry insights that can guide you in determining where your budget should go and why.

Should I Only Advertise in Google?

While Google, MSN and Yahoo! are the largest companies in the PPC industry, there are hundreds of other engines to choose from. Depending on your goals, you may want to investigate some of the smaller, second tier engines such as MIVA or Enhance or a niche engine like Business.com. Taking a look back to even just five years ago, PP C advertising was inexpensive with high conversion rates. Fast forward to 2008 and search has become a highly competitive market with clicks in certain categories costing up to $40 each. It’s no surprise that people just entering the search space can find this overwhelming; even those of us who have been involved since its infancy are constantly learning, adjusting and capitalizing on various products, features or services offered by the engines.

So is Google the only option to choose in order to see a significant ROI? Of course not. But since Google, Yahoo! and MSN hold the lion’s share of the Internet marketing pool you will likely see a quicker ROI using those engines.

Taking a look at a 2006 eMarketer report, its obvious Google holds the market share of search volume. Thus, it makes sense to allocate your budget according to the percentage of market share. For example, In 2006 Google had 60% of the market share, so you would allocate 60% of your overall budget to Google.



Additionally, you have to look at your overall goals and where you stand regarding your experience with SEM. If this is your fist time testing the PP C waters you want to start small and choose one of the smaller engines such as MSN or Yahoo! to work with. With each engine running on a different set of rules, standards and regulations, coupled with different budgets per campaign can mean plenty of confusion for first time PP C advertisers.

Budget Allocation

It’s very rare that a campaign will have a limitless budget. For this reason, budget allocation is an important aspect of SEM implementation. The allocation of funds directly affects the visibility of your ad campaign. For instance, having a campaign set too low for the amount of search volume that is occurring will limit campaign visibility. Although this step is crucial for the success of your campaign, there are no tried and true guidelines to follow for fund distribution. While you want to ensure that your top producing keywords get an adequate amount of budget, you don’t want to exclude other keywords or test campaigns from being visible. Initial budget allocation is a bit of a shot in the dark. Think of this as your starting position and one that you can adjust and tailor as you get more information.

Some tips to maximize your budget spending include:

1. Consider what engines you will be launching your campaign with. Typically Google receives the most traffic and therefore should get a higher percentage of your budget.

2. Consider your target audience demographics as well as industry specific considerations. For example, MSN is the leading search engine for the financial industry, so bids are much more expensive in MSN than in Google or Yahoo! for many financial terms.

After launch, you will begin to notice trends as to which engines, campaigns, keywords, etc. are spending and which are not. You can then begin shifting your budget accordingly. Most commonly, you will find that your branded keywords will be your top performers. Obviously, these should get enough of your budget to ensure that they are visible. However, non-branded and lower-performing keywords are important to include in your campaign as searchers tend to use these during their research process prior to making a conversion. Having a cumbersome keyword list can be difficult to manage and drain your budget – finding the right balance can be tricky, but is a key to a successful campaign.

There are several common pitfalls to avoid when managing your campaign’s budget including engine overspending and misinterpreted budget changes. Google will allow you to go over your daily budget by 20 percent and Yahoo! will allow you to go over by 15 percent. Additionally, a tip to keep in mind if the need for a budget change arises is that it is best to do so early in the day. Greatly reducing your budget in the afternoon makes engine anxious about the possibility that you overspent and it is possible that they will turn off your accounts.

In the end, adding PP C to your existing marketing initiatives is a great way to see a quick return on investment through increased targeting traffic to your Web site. While setting goals and keyword research lay the backbone to your campaign; appropriate budget allocation can make your efforts either sink or swim.

 

Monitoring Social Media Marketing

By Joe Whyte
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Chat rooms, blogs, forums, social networks, social bookmarking sites and virtually any site that allows conversational interaction is a prime venue for the rapidly growing field of social media marketing – an essential tool in every SEO's kit and one that is often misunderstood and misused.
Social media marketing can bring traffic and links to any website. Too often, marketers overlook the value of social media and tend to stick with traditional methods, while the younger generation of webpreneurs has employed social sites as an every-day strategy. But more and more, larger corporations are catching on and joining the social media bandwagon. What’s missing — and essential — is proper measurement of these new techniques. Often times, social media marketing is dismissed before its true effectiveness is realized.
   
A New Set of Metrics

Using Web metrics is nothing new and analyzing data for clients is routine for any Internet marketer. However, the tools we use and the stats we focus on need to change when applying social media marketing to your or your clients’ strategic marketing plans. Today, standard Web analytics applications track bits of information we are all accustomed with, such as page views, referring URLs, traffic geo-segmentations and numbers of visitors.

For social media marketing, what we really need to be concerned with is buzz and viral marketing. For example, if you’ve managed to leverage some content on a site like Digg, how do you measure its reach and effectiveness once that content starts to go viral? Using standard Web metric applications gives us a good idea of the initial push on Digg, or any other site, but the full extent of the campaign is lost. Similarly, you can benchmark your current inbound links before a social media campaign and then carry out another benchmark several weeks later. But when it comes to social media metrics, this is primitive analytical reporting. You’re not seeing the entire picture and the potential of a successful social media marketing campaign.

Segmenting your standard Web metrics from social media buzz or viral marketing metrics will help you further refine your campaigns and also provide more in-depth information to better serve you or your clients.

Lets take a look at the core differences between standard Web analytics and social marketing metrics.

With standard Web analytics we are accustomed to tracking:

  • frequency of visitors
  • page views
  • referring URLS
  • entry pages
  • bounce rate
  • visitor paths
  • conversions
  • exit pages
Metrics that are more important when measuring social media marketing include:
  • RSS/newsletter subscribers
  • amount of social bookmarks received
  • activity of comments added to your blog
  • number of new links secured by social media marketing
  • monitoring the viral aspect — what blogs, forums etc are talking about you
  • monitoring referring links
  • monitoring brand/search saturation
  • monitoring reach
  • mood of conversational marketing
  • monitoring engagement of site visitors
  • tracking email usage (if implemented into campaign)
As you can see, the facets of social media marketing to watch differ from traditional Web analytics. And because they are different, we
need tools and services that more appropriately fit our needs.

Below are some useful services for your social media analytics needs.

SentimentMetrics: This service locates, stores and reports on blogs and websites that mention your brand. This service is niche-specific as it targets conversationally-based sites along with monitoring buzz about them. SentimentMetrics is useful after submitting content you created for social sites like Digg, Propeller, reddit, del.icio.us, StumbleUpon or any other niche social media site.

Visual Sciences: Formely known as WebSideStory and recently acquired by Omniture, Visual Sciences is an inexpensive solution to monitoring many metric types including engagement marketing and conversational marketing verticals.

MediaMiser: Over at MediaMiser, they specialize in measuring search, media sites and search archives — a great tool for any online media marketer.

Andiamo Systems: Andiamo monitors all mentions on a social level — from social networking sites and blogs to forums and message boards. This metric system specializes in word-of-mouth and buzz marketing, a perfect application for social media marketing.

The above are all good systems designed specifically to manage and monitor more than your standard Web analytics package.

When you start to really monitor and track social media marketing its best to step up to a custom application. But if you’re on a budget here are some services you can use to help monitor and track social media coverage for less of an investment.

Memeorandum.com and Blogniscient.com search the blogsphere for specific terms. So does Google Alerts and Yahoo Alerts.

Copernic Tracker, WebSite-Watcher and WatchThatPage all monitor Web pages for any changes and can collect new content. These services are good for keeping up with keywords and changes and for monitoring your reputation on sites you choose.

Moreover.com will help you monitor developments and changes in a specific industry.

Finally, remember to utilize your backlink search queries along with technorati to monitor blogs.

These tools, unfortunately are not viable solutions to client reporting but can offer a wealth of information for any anyone looking to put some effort into manual reporting.

Social media can be a powerful marketing tool. As social media has risen to a role of prominence on the Web, it is important for marketers to be in the mix and employ social media marketing. But just having a presence isn’t enough. You must be aware of how your message is spread and where your efforts are best suited. And that means adopting a new set of metrics.

About the Author: Joe Whyte is President of HybridSEM.com and has worked with fortune 1000 companies and a member of the Web analytics association. HybridSEM offers social media marketing blended with SEO to maximize your ROI. Reach us at (888)237-7928 for a free consultation.

Web Profile: EZ Show

__________________________________________

The power of video advertising on the Web cannot be overstated. But many small businesses simply don’t have the resources to make compelling video ads. Or, their ads turn out more like home movies, possibly doing more damage to the brand than good. EZ Show has a solution and it fits any size business.

Using EZ Show’s software, users can create compelling, enterprise-quality video ads complete with music, audio voice-overs and text, anywhere from 30 seconds to a minute long. An extensive library of clips divided into five-second segments allows for custom creation of video that fits together seamlessly and provides the video viewer with a complete video advertising experience. Or, EZ Show even offers to send a videographer to your business location to record video for you.


Once a video is created and pieced together, the user gets a piece of code that can be pasted into any Web page, or any other place that code can be used for video — a business’ MySpace page, for example.

If you don’t want to use video, EZ Show also offers simple image ads with text overlay and audio capabilities and the images can include pan and zoom capabilities or be formatted to resemble slide shows.

As far as audio, users can choose from stock audio and music, or record and upload their own voiceovers. There is also the option to ask EZ Show to provide custom audio.

And what good is a great video advertisement if you can’t measure its success? Some of the tools EZ Show offers can provide analytics data as well. You can track clicks on your videos and even track clicks that originate from other sources. For example, you can track separately where you may have links to your video, say from Yahoo or Google. You can even track clicks if you send your video links in an email campaign to determine which of those efforts are bringing the highest return.

So why video? “That’s where everyone is going,” says Bernie Day, EZ Show’s CEO. “It’s faster and better. The different dimensions of video stimulate people to embrace and engage the message.”

Currently EZ show is experiencing great success. “We’ve been very well received. People are pleasantly surprised by the ease of use and the quality of the video,” says Day.

The EZ Show software is widely licensed to larger companies such as yellow pages providers as a service for their customers. But a do-it-yourself center is also available for individual customers.

Pricing starts at $49.95 per month to make as many ads as you want, and includes 1,000 views per month. There is an additional cost of $.04 per view over 1,000.

For more information visit www.ezshow.com and www.ezshowstudio.com.

PPC Accountability

Is Tracking ROI Actually Hurting Your Business?
By Rafe VanDenBerg

__________________________________________

For e-commerce companies and Internet retailers, measuring and managing return-on-investment (ROI) seems to be the Holy Grail of pay-per-click (PPC) accountability. Everyone seems to be working toward the day when they can measure and adjust their PPC campaigns by the actual  profit-contribution-per-dollar-spent. After all, it just makes good business sense, right?

Not necessarily. While this may sound like blasphemy to some, for many e-commerce companies and Internet retailers, measuring and managing PPC campaigns by ROI could actually be hurting their growth and profits.


PPC and New Customers

Analyze the PPC campaigns of a typical Internet retailer and you'll often find these campaigns are primarily producing new customers and very little repeat customer activity.

Intuitively, this makes perfect sense. Many new customers will initially find the retailer by conducting a search then clicking on a PPC listing. Less likely, however, is that these customers will follow this same search-to-PPC path when making subsequent visits or purchases. These customers are already familiar with the retailer and know what they have to offer. And, as existing customers they are probably receiving regular follow-up communications from the retailer. So, for subsequent purchases there’s little need for these customers to use a PPC listing.

This new customer distinction is important because it can radically change the profitability picture associated with PPC — particularly for a multi-line, multi-channel Internet retailer. When PPC campaigns are generating a large percentage of new customers, it becomes much more appropriate to view PPC as a customer acquisition mechanism, rather than a transactional tool. And when the perspective changes to customer acquisition, the concept of customer lifetime value (LTV) must come into the picture. Put simply, LTV is the net-profit generated over the period of time a customer remains active.

Any multi-line Internet retailer should know that a new customer is often worth far more than the revenue and profits associated with their initial transactions. For some online sellers, the initial transactions are just the tip of the iceberg as those customers return again and again, over a longer period of time.


LTV and PPC Profitability

When LTV is considered, it’s easy to see how a new customer acquired through PPC could be worth much more than just the near-term revenue associated with their initial purchases. It should also be easier to see how an Internet retailer’s growth and profits could be negatively affected by PPC decisions based on near term ROI measurements.

Consider the multi-line retailer who was managing a large number of PPC campaigns around specific products and product lines. They were measuring the ROI of each campaign and making adjustments to achieve their targeted levels of return. Sounds good so far, right? Through in-depth analysis, we found that over 96 percent of the orders attributed to these campaigns were to new customers. For this company, PPC was indeed a very effective customer-acquisition tool.

However, an LTV analysis revealed that the value of these customers over a period of just six months was 45% greater than the nearterm transactional values reflected in the ROI measurements. What’s wrong with that, you might ask? Doesn’t that just mean that this company’s PPC campaigns were even more profitable than they thought?

At first glance, this under-valuing might actually seem like a good thing. But remember, this company was adjusting their PPC campaigns based on the transactional ROI targets and not the true LTV of the customers being acquired. When a campaign wasn’t meeting those ROI targets, the company would reduce their bids, add negative qualifiers to their ads, pause certain keywords, and in some cases shut off the campaign altogether.

In reality, their ROI measurements were leading them to make near-term decisions that reduced their growth, profits, and competitiveness. Hundreds of new customers who would produce significant profits in the future (taking into account their LTV) were, in effect, being turned away on the basis of their immediate transactional values attributed to PPC.

Now, had this company considered the true LTV of the new customers, their PPC management decisions would have been very different. In many cases, bids would have been increased, not lowered. Click-through ad-response would have been opened up even further and not stifled. Keywords would have been added, not paused. Entire campaigns would have been kept alive and expanded, rather than being shut down or killed.

By considering LTV and the longer-term ramifications of their actions, this company could actually grow its reach, customer base, and market share instead of giving up ground and shrinking its presence in the competitive environment.


Taking it a Step Further

Once you embrace the concept of taking LTV into consideration, the next step is to embrace the differences in LTV at a more granular level. The simple truth is that there exists a unique group of individuals driving each PPC keyword, ad group or campaign. And these unique groups of people — or segments — can ultimately have very different needs and purchasing behaviors.

So, in the same way that different PPC campaigns, ad groups, and keywords can produce different levels of ROI, they can also produce new customers with very different lifetime values.

Back to our example.

Through further analysis, we found that for this Internet retailer, customers acquired through certain product-specific campaigns were worth far more than the typical customer. One campaign produced customers with LTVs over 400 percent higher than average. At the same time, however, the short-term ROI for this particular campaign was actually lower than that of other campaigns. With a “manage-to-ROI” mindset, this campaign would actually be at risk — even though it was acquiring customers worth four times the normal LTV.

By taking LTV to this more granular level, you’ll often find campaigns, ad groups and keywords where the most profitable course of action is to go negative on short-term ROI. That’s right — when the value of the customers being acquired is great enough, it’s often much more profitable in the long term to actually lose money in the near term.

Now this concept is nothing new to seasoned direct-marketing professionals. For a century or more, direct marketers have been very willing to break even or lose money on the first transactions to acquire the customer, knowing that subsequent sales to that customer will make their initial investment pay off in a big way.


Putting it into Practice

As powerful as this can be, it’s sometimes a challenge to put it into practice. Certainly, it requires a bit of in-depth analysis and spreadsheet whipping. There are also financial implications to be factored. And, in many organizations it requires some creativity to deal with the closely-held beliefs and mindsets about ROI and accountability.

Obviously, data analysis is much easier if you’re capturing campaign-level information and carrying it through to your backend reporting systems. It’s also very helpful to have been running PPC campaigns for a while, so that you have some history to examine. But even if you don’t have all of this, don’t let that stop you. There are effective workarounds, and you can do this if you really try.

For example, you can use data from your backend systems to determine customer LTV by the products contained in the first orders — i.e. the acquisition products. Then, you can use those values to manage specific product or product-line PPC campaigns, with some level of certainty that those campaigns will acquire fairly similar customers with similar purchasing behaviors.

The “lifetime” in lifetime value is a bit of a misnomer, because the timeframe you utilize in practice will largely depend on your financial situation. If you’re cash-strapped and don't have a war chest to lean on, you’ll want to use a much shorter timeframe than the true, active life of your customers. Some companies are fine with breaking even at year two, while other companies need their investment back much sooner. Each situation is different, so you have to determine for yourself just how long you can wait to get your initial investment back and starting making a profit from the customers you acquire.

Promoting the use of LTV in some organizations can be tough when there are certain entrenched mindsets. But one of the biggest differences between ROI as it’s generally utilized and LTV as we’re discussing here, is the element of time. So it's often very helpful to position LTV as a long-term ROI.


The Competitive Advantage

In case you’re wondering whether all of this is even worth the effort, consider for a moment the competitive ramifications. PPC is one of the most competitive advertising environments imaginable — and it’s getting tougher with each passing day.

What if you knew something your competitors didn’t? For example, that the value of the resulting customers meant that certain clicks were worth $3 more than what your competitors thought they were worth? Do you think you could outmaneuver those competitors with that kind of information? You bet you could.

And if you’re still not convinced, turn the tables and consider this: What if your competitors knew something that you didn’t?

About The Author: Rafe VanDenBerg is the founder of eCommerceXcellerator.com, a suite of online tools, training resources, and services specifically-designed to help e-commerce companies and Internet retailers produce more growth and profits. He can be contacted at www.eCommerceXcellerator.com.

The Strength of Ad Exchanges

Google buys DoubleClick, Yahoo buys RightMedia. Microsoft buys aQuantive and AdECN. Important? Absolutely. Relevant to you as a website owner in constant pursuit of Web success? Maybe not right now, but definitely in the near future.

Those acquisitions, made by these already massive media and software outlets, indicate not just their focus on Internet advertising as a whole, but more specifically the viability of the ad exchange model. Unfortunately, few people grasp the actual value proposition these exchanges provide, much less the players in the advertising network space or how to make them work to their advantage.

How Ad-Serving Works (In General)
There is more to the economics of the advertising exchanges than the “advertiser buys, publisher gets paid” scenario. In fact, there are often numerous variables (and often middlemen) that come into play - all of which affect these advertisers and their publishers greatly. As such, it is important to understand how all the pieces come together.

Most publishers, networks and advertisers (regardless of size) have their own ad servers. What happens is that a website must request (typically through an HTML or JavaScript snippet) content from the ad server. When a user loads a page, the code informs the browser to open a new in-page window which returns content from the ad server.

The situation gets more complex however when each and every party (advertiser, network, and publisher) has their own ad server – specifically when each has their own tracking and reporting to follow. Unfortunately, this is where it gets complex. The problems with stand-alone ad servers are that there are pricing inefficiencies, integration challenges, high latency and often slow ad serving.

Pricing inefficiencies come to light when advertisers (as they rightly deserve) request more advanced targeting (geographic, demographic, and psychographic). This adds a much more dynamic and complex level of ad serving which smaller networks have difficulty achieving with any measurable success. In the end, smaller publishers must implement manual processes while larger publisher develop advanced prediction algorithms to serve the right ad, to the right person at the right time. The result of this advanced segmentation is the majority of dollars spent on ad networks goes to the larger players.

Technology integration makes the ad serving process much more complex as well. Enter prediction algorithms, contextual targeting and behavioral marketing and finding the right mix which produces the best return on investment for advertisers and the highest revenue for publishers is nearly impossible. The only solution for advertisers and publishers is to either accept pricing inefficiencies or work harder (or smarter) to develop advanced segmentation technologies.

Latency and slow adserving are other problems as they currently exist outside of ad exchanges. Why is this an issue? Each request made from a web page takes time – crucial time. The more nodes that a user’s browser must make to get to an ad, the longer the page will take to fully load. When a page is not completely loaded, the number of impressions will not add up.

The Solution: Centralize
The answer for many of the larger enterprises has been to centralize their entire ad serving needs into one central location – commonly called an exchange – which serves up the ads. DoubleClick, RightMedia and smaller independent agencies like AdECN (recently acquired by Microsoft) operate in an environment where pricing inefficiencies, technology integration and latency are less of a worry as everything is centralized. There is obviously a lot of value being brought into the market through these exchanges and large-scale advertisers (and publishers) recognize this.

For example, Terra Networks, a popular Internet portal for the U.S. Hispanic audience, announced in late June that it began offering the DoubleClick DART Adapt system as an enhancement of its online advertising service which Terra hopes will help clients maximize the performance of their online campaigns. A number of Terra Networks’ clients have already experienced significant improvements to their online campaigns as a result of DART Adapt (in some instances seeing increases in clickthrough rates as much as 200 percent).

The problem as many see the situation however is that since both Yahoo and Google (and now Microsoft) have their own exchanges, it will be nearly impossible for them to offer a neutral environment, instead perhaps favoring their own proprietary advertising outlets.

If your enterprise is simply not large enough to compete with the likes of the Google’s and Yahoo’s of the world when it comes to serving, buying and selling advertising, know that there are alternatives which work exceedingly well. For example, OpenAds, an open source adserving solution, is immensely popular and is currently used on over 20,000 publisher’s websites. So what kind of opportunity exists for users of OpenAds and the company itself? According to James Bilefield, CEO of OpenAds, “The industry has consolidated fast over the past few months, and many online publishers are getting concerned about the consequences. In this environment, Openads, which offers a fully independent, reliable and free solution used by thousands of publishers all around the globe, offers a really attractive choice for their ad serving needs.”

It’s the “choice” that is, and will remain, so appealing to independent publishers.

Click Fraud: Mitigating the Risk


add to furl add to del.icio.us add to technorati add to blinklist add to digg add to google add to stumbleupon add to yahoo

 
There has been no greater boon to the commercial Internet than pay-per-click (PPC) advertising. With forecasts for 2007 well into the billions, there seems to be no end to online advertising’s potential. But there is one threat to the industry, and that’s click fraud looming large in the minds of not just professional SEM agencies but the do-ityourself paid search campaigns of millions of Web professionals.

Pay-Per-Click & Click Fraud Refresher

While PPC providers vary in both approach and methodology, the basics of the practice remains the same. Advertisers create campaigns that consist of a website(s) they will promote, keywords users will employ to search for that website and the titles and descriptions that are presented. Across the board, the two core measures of the effectiveness of PPC advertising are the clickthrough and conversion rate. The former measures, in many respects, the quality of the listing itself (titles and descriptions) while the latter measures the quality of the product or service being promoted.

The Varying Degrees of Click Fraud: One of the more confusing issues surrounding click fraud is defining exactly what qualifies as a fraudulent click. There are many types of click fraud — one of the reasons the whole concept is so difficult to understand. Separating malicious advertisers competing for exposure from automated botnets that generate legitimate-appearing clicks is the foremost challenge of PPC advertising networks both large and small.

It Comes Down to Oversight: In a cut-throat industry such as PPC there is no shortage of opinions on the effectiveness of campaigns, as they relate to different sites and providers. Most cite traffic quality as the biggest reason why they will never advertise on specific networks and a big fear factor of click fraud. A common misconception is that smaller networks are not equipped to handle fraud. But in reality a smaller network lends itself to better oversight. A company like Google must monitor hundreds of thousands, if not millions of sites currently employing AdSense — a very complex proposition. For second or third-tier players, relationships are fewer (meaning less traffic) but on a more intimate level — meaning that if you have ten mid-level publishers driving traffic, it’s much easier to determine where the fault lies.

The Real Problem: The click fraud issue is real but its breadth is heavily debated. Sellers of click fraud software often cite fraud levels of 30-40 percent of all clicks, while Google (as of February 2007) stated that the percentage of actual click fraud is only .02 percent, with “invalid” clicks at just 10 percent. The real problem may be in understanding the definition of a “quality click.”

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Advertisers always want the highest quality traffic, but even in the brick and mortar business world you can never guarantee that someone walking into a store is interested and ready to buy. Consumers may just be killing time or more likely just browsing with no immediate intention of buying. The problem for advertisers is differentiating those with an immediate need from those simply browsing. And it’s no different in the online world, where a quality click can be difficult to distinguish from an invalid click of those just browsing.

While those who question the PPC model cite everything from botnets on foreign proxy servers to other malicious tactics like human click networks, they miss the real point. Advertisers will always vote with their dollars and do so to the tune of billions each year. If they don’t receive the conversions they are looking for from one source they will move to another. Loyalty comes from providing value — serve poor-converting visitors and you won’t be around long enough to answer your critics.

In any case, click fraud will continue to be a problem to some degree, probably as long as PPC advertising exists. It comes down to this: If you don’t like the risk associated with online advertising — click fraud and relevancy issues included — find another venue or stop funding your account.

Warning Signs of Click Fraud

There are some indicators that advertisers’ campaigns have been the target of click fraud. To know for sure, advertisers must be familiar with several granular aspects of their campaign and its performance. While unexplained influxes in traffic for specific terms should immediately raise a red flag, a better indicator is being able to identify whether wide variations exist in the return on advertising spend from one day, week or month to the next. If advertisers look at the cost per conversion infrequently or are not familiar with how that dynamic number is changing over a period of time, there is no way to identify a specific set of time to know for certain that click fraud is occurring. If, on the other hand you pay close attention and notice a sudden, abnormal spike in activity, it’s probably time to take a closer look.

DIY Click Fraud Awareness & Prevention Solutions

While the best click fraud prevention is an individual(s) capable of reviewing raw server logs to identify sources of poor converting traffic, there are some other, easier methods. For one, a good conversion tracker will help you sync the traffic you receive with traffic being billed to your account. There are also several easy steps any advertiser can take to reduce the chances of becoming a target of click fraud:

Focus on a broader distribution of keywords:
Advertising for clicks on the most highly-trafficked search terms in your niche will generate loads of traffic but it will also cost more and comes with a higher exposure to fraud. More costly terms are prone to click fraud because they are worth exploiting. Using broader, long tail terms that typically come with a lower cost have been shown to not only increase return on investment but limit fraud.

Segment campaigns properly:
An organized campaign is an efficient campaign. Running one campaign with thousands of keywords will make it difficult to determine which listings might have been a target of click fraud. Separating search and content campaigns and grouping terms by themes or intent will make the job of analyzing reports much easier.

Bid only what you can afford:
You would not buy a house you can’t afford — why do the same for a website visitor? Bidding according to your own well-established ROI metrics means knowing what the product costs versus the margin you can expect, exploring various conversion rate potentials and defining the maximum you are willing to bid for a click and a sale.

Become an analytics expert:
Successful SEMs realize that the “set and forget” approach to PPC doesn’t work. Using an analytics package such as ClickTracks or Google Analytics will offer insights into more than just the possible degree of click fraud, but also the success of all aspects of SEO and SEM campaigns. If you have no interest in becoming an analytics expert, at least consider outsourced business intelligence providers such as Omniture and SAS or using any tools at your disposal. Something is better than nothing at all.

Distribution Matters:
While some SEM experts agree that you should only advertise with the top paid search providers, this presupposes that click fraud is less of an issue at larger networks. Better advice would be to use second- and third-tier providers of pay per click solutions as supplemental traffic. While these distribution networks are smaller and produce less traffic, they are typically better suited to shut off distribution partners and refund money when poor quality traffic rears its ugly head.


Why you’re not Really Hurt by Click Fraud
Click fraud is less an issue about online marketing than it is macro economics. What most advertisers don’t understand and most agencies and PPC providers fail to express clearly is that the price of click fraud is already factored into the cost of doing business.

At the point of purchase it may seem like advertisers are paying one amount when, in reality, there are always additional charges. Consider it the cost associated with the privilege of advertising. Savvy advertisers would always opt to pay more if there was an absolute guarantee that each and every site visitor was legitimate and ready to spend — but we’re not promoting our businesses in fantasy land. The world is an imperfect place and Web marketing (regardless of click fraud detection software) is an imperfect science.

The Ultimate Solution: Innovation
In the end it is the advertiser that must take the first step to calm concerns over click fraud. While standards proposed by professional organizations such as SEMPO or the IAB are helpful, they miss the real point — each and every advertiser and each of their campaigns are different. One company’s daily standard is another advertiser’s best day ever. Standards are only useful when you’re dealing with an industry that is not dynamic.

In the end, standards are nearly useless because the Web is still in a state of innovation. For example, companies like AdBrite and Quigo are allowing advertisers to bid on specific networks (Google offers something similar with AdWords/AdSense). The result is that control is squarely with the advertiser, as they are left to determine which sites produce a higher ROI. In one quick motion, innovation has now changed the face of PPC — the driving force behind the success of online advertising.

For now, it comes down to a balancing act — weighing risk versus reward. Online advertising is a hyper-competitive industry so we can all expect innovative changes in the future. It will be of the utmost importance for advertisers to keep their eyes and ears open for the next advertising medium and determine what best works for their individual or company needs. Until then, be sure to keep a close watch on your online advertising campaigns or bring in some outside help to ensure your ad budget isn’t pilfered.