Stone Temple Consulting and Alchemist Media are seeking additional participants for their upcoming Comparative Analytics Study. They are going to be running six leading analytics platforms side-by-side so they can compare results.
- Google Analytics
They are seeking B2B and B2C ecommerce sites that spend at least $10,000/month on PPC advertising. In order to put these systems to the test, they prefer companies with a sales cycle that frequently takes more than 1 visit, a range of latency and some repeat customers.
Participants in the Analytics project will receive the following benefits:
1. Data on how the various analytics packages performed on their site. This may help the participant better understand the best analytics vendor(s) for their needs.
2. Detailed analysis of your site metrics by veteran SEM consultants using a variety of analytic tools. Their efforts to normalize data across these tools may also help you better quantify your ROI and understand current analytic issues.
3. Credit and acknowledgment for participation in the project. While they cannot quantify the word of mouth benefits or guarantee a number of backlinks, they anticipate that this study will be widely discussed in the press, in the blogosphere and at conferences.
In order to conduct this study, they will need to analyze performance data outlined below. They recognize that this is sensitive and confidential information. The confidential specifics of your campaign are not pertinent to the study, and will not be published. What is important to study is the relative data, information such as the differences in conversion data between analytics vendors, for purposes of evaluating the performance of the vendors.
They will mask all specifics, such as keywords, products, campaigns, the categories that the campaigns relate to, etc. In order to guarantee participants that they do not reveal sensitive information, they will allow each the opportunity to review information prior to releasing results.
Here are the specific items they will attempt to compare:
1. Clicks by source, campaign (e.g. Google AdWords Ad Groups, Overture categories, and logical groupings of web pages for organic campaigns) and term (first touch)
2. All conversions captured during the study, regardless of source (including transaction ID, customer ID and amount for ecommerce site)
3. Conversion by source, campaign and term of first touch. Including transaction ID (and amount for ecommerce sites)
4. Latency for each transaction where latency is the time from first touch to conversion
5. Number of touch points prior to conversion
6. Last touch source (when the number of is touch points greater than 1)
7. Pre-conversion events (downloads, signups, etc., depending on the site)
8. Repeat sales by source, campaign, term and customer ID
9. A/B Testing scenarios where appropriate
10. Various other tests that will be designed to expose the strengths and weaknesses of the Analytics Vendors products.
Please contact Eric Enge of Stone Temple Consulting at email@example.com and Jonah Stein of Alchemist Media at firstname.lastname@example.org if you are interested in participating.