Site Optimization
Web Metrics Pt.1 Tested, Section 1 (Research) ![]() |
| Web Metrics Pt.1 Tested, Section 1 (Research) |
| Wednesday, 05 February 2003 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MARKETING TRACK - Step 3 Topic: Web Metrics Pt.1 — We test 26 different web metrics tools to determine the simplest, most accurate way to capture the numbers you need. Test Number: #030202-WA Word Count: 6300+ Focus: SECTION 1 (Five Questions)
SECTION 2 (Outline)
Credits:
We have three (aggravating) questions: (1) How could three separate web metrics programs be given access to the exact same numbers (526 orders), and yet deliver a set of metrics that are 276 percent apart? (2) How can Google's Adword Select program report 7,706 more clicks than our actual log files report? (3) More importantly, how can a marketing team make effective decisions if they don't have accurate numbers? Over the last six months, researchers at MarketingExperiments.Com have tracked more than 36,000 orders, studied 800 pages of advice, analyzed more than 10 GB of data, and reviewed 22 web metrics products. We were searching for simplicity. As Judge Oliver Wendell Holmes remarked, "I would not give a fig for the simplicity this side of complexity, but I would give my life for the simplicity on the other side of complexity." Here at the lab, we have grown painfully aware of the need for a simple approach to web metrics. If we have discovered anything significant, it is probably this: effective, serious-minded merchants, across the Net, in diverse industries, are struggling with inadequate data. Their (understandable) ignorance is costing revenue and growth. The Internet was supposed to provide a wealth of useful data, but for many, it is a quagmire of disconnected, inaccurate numbers. Is there a way to cut through the web metrics confusion? Here is what we discovered. Can you trust the click reports provided by Google and Overture?Most marketers that we have interviewed experience vague misgivings about the amount of money they are spending on the pay-per-click engines. Are they being overcharged? We tested 50,000 plus clicks from the two leading PPC engines. Here is what we discovered:
We are not suggesting that these pay-per-click engines are engaged in dishonest reporting. But an error can cost you as much money as a lie. And in times past, we have seen evidence of significant errors on the parts of at least one PPC engine. The moral of the story? Get your own (reliable) metrics in place. Why don't the reports from the pay-per-click engines match the reports from our analytics programs?There are at least two reasons:
NOTE: You can view an updated list of Google affiliates in our Research Log at: http://mecgroups.com/mec_research_log/archives/000029.html Can you trust the numbers your web analytics program is providing?We've established that tracking your clicks can be difficult, but what about tracking your orders? In our next experiment, we studied 526 orders to determine how many of them originated from a Google Adwords pay-per-click campaign. This campaign was for some 1000+ products offered in a Yahoo! store. We measured the results with two programs:
We compared the numbers from both programs with a manual (oh-so-tiresome) URL trace of every single order. The results were frightening:
How much money did we (really) make or lose with this Google campaign? We ran a simple ROI report based on the three different sets of numbers. One thing was clear: if the merchant had relied on Yahoo! or HyperTracker, his analysis could have distorted future campaign decisions:
Any merchant relying on the Yahoo! numbers would likely panic and terminate his Google campaign. But in reality, this campaign showed economic promise. Here are the (mostly) accurate numbers: (*2)
Armed (at last) with accurate numbers, our research partner grappled with the next vital question: Should he continue with his Google campaign? The answer is not as simple as it may seem. The decision would be based upon a single vital factor: his LIQUIDTY. At MEC, we have a special metric. We call it the Liquidity Index. It is a single number that answers THE cash flow question: Will I recover my campaign expenses within thirty days? To be sure, a marketing investment can be sound even if the money is recovered over a 12-month cycle. But in today's ferocious economy, many marketers cannot afford to wait for 12 months. Indeed, many marketers don't even have a fixed budget. They hope to recoup their direct costs every thirty days. Our research partner had two obvious options:
We recommended a third option: (1) Refine the Google campaign, (2) eliminate unprofitable keywords, (3) enter negative keywords, (4) improve the landing page, and (5) monitor the results closely. This third option has proven to be the best choice. Unfortunately, many marketers don't have enough accurate information to discern a "third option." Nor do they have the confidence to buy all of the available traffic for a campaign. While preparing this report, we spoke to one merchant who admitted, "I've never known how much my Google campaign was really yielding, so I just low-balled the bids." This merchant Grossed 1.7 million last year with his homegrown Internet operation... but how much market share did he lose by underbidding on profitable search terms? Why is it so difficult to get accurate metrics from Yahoo! Store?Yahoo! Store offers one of the best hosted e-commerce platforms on the Internet, but their site metrics are sorely lacking. There are at least seven problems:
We are working with one of our research partners, Don Cole of ystoretools.com, to develop an effective analytics program for Yahoo! How do you cut through the confusion and find a web analytics tool that really works?The Scottish writer, Andrew Lang, once commented, "He uses statistics as a drunken man uses a lamppost -- for support rather than illumination." The goal of web analytics should be illumination. And... Knowing what we DON'T need to measure is at least as important as knowing what we DO need to measure. The key is focus. Effectiveness is not the result of measuring the numbers right; it is the result of measuring the right numbers. Your company's time and energy is at a premium. You need to get the "most" for the "least." This rigorous focus not only concentrates your resources; it also clarifies your objectives. When you cut through all the confusion, there are really only four elements you can measure:
In each of these four categories, there are only a few numbers that will truly matter. Once you have collected the numbers, it is time for the second step: analysis. Lest this ominous word frighten you, most of your analysis can be painlessly accomplished with nothing more than a one-page spreadsheet. Section 2 (Continue...)
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