Archive for the 'Statistics' Category

Hands on with Google Ad Planner

Google’s new Ad Planner product provides useful analytic tools for planning online media campaigns. According to the official announcement, the purpose of Ad Planner is to connect advertisers and publishers—providing media planners with demographic data and insights designed to help them buy targeted media. I was able to get a obtain a beta account and, from my perspective, claiming that Ad Planner is a resource for agencies is an understatement; Ad Planner may now allow smart marketers to bypass media buying agencies all together.

So what does Ad Planner do?

Ad Planner allows you to research, create, and export targeted placement-targeted campaigns. A simple demographic filter is used to create a targeted and sortable list of sites within the Google network that meet target user criteria. In addition to general demographics (gender, age, education, income, etc.), you can enter similar matching website to narrow the list.

Build placement targets with Ad Planner research

The list of target site can also be filtered by network and ad format. After the filtering and targeting is completed, you simply check the sites you want to target and they’re added to you media plan, which can be exported to CSV for integration into your accounts via the online tool or AdWords Editor.

What are the cool bits?

Integrated into Ad Planner is a powerful demographic and performance report that allows you to gain a comprehensive understanding of website demographics. This is the most useful aspect of the tool. While similar tools exist that provide similar (and sometimes more extensive) data, Ad Planner serves it up so it’s useful and actionable.

Some of the data is clearly pulled from Google Trends, but the amount of data available is far more wide-ranging. The demographic profiles also show similar sites that fit the profile allowing you to “branch” and add sites to your media plan.

How does it integrate with AdWords?

Other than exporting and cutting and pasting, there is no real connectivity with AdWords, although it’s not difficult to see this coming in the future. The data available is useful for uses outside of AdWords integration though—it is useful for publishers and advertisers who simply want more insight into their site users. It’s a powerful analytical tool and—I imagine—will give many publishers insights into their users that they’ve never had before.

Summary

Bravo Google! You’ve provided yet another great research tool for online marketers. While there are already a number of questions about the integrity of the data and where it’s sourced, I imagine the quality will only get better. I wonder how much of the data is pulled from Google Analytics?

Ad Planner offers sophisticated marketing tools for the masses and if you are a media placement firm I would be getting nervous. This tool allows savvy online marketers with unchecked access to your turf.

From Nielsen: Old Folks Struggle with the Web

In his latest Alertbox, Jakob Nielsen publishes the results of a quantitative study on how time needed to complete website tasks increases as you get older. According to the study, there is a 0.8% increase in task time per year for users between the ages of 25 and 60.

Nielsen attributes the increases in time to the human aging process—erosion of cognitive resources, loss of visual acuity, etc. Apparently, the older you get the harder it is to process complex information and tasks on the web.

While there is not enough disparity between 30- and 50-year-old users to warrant different design approaches, Nielsen notes that there is a specific drop-off in ability after age 65. Websites designed for senior citizens clearly need to follow different usability guidelines.

It’s hard to disagree with the Nielsen’s findings, although concluding that older users struggle more than younger users is hardly groundbreaking. The study notes that the age at which people start using the web has some impact on their ability, regardless of age. However, the study does not take into consideration how the types of online tasks you perform vary by age.

Pew Internet released an interesting report on how online activities differ by demographics. While the findings do support Nielsen’s findings, there is equal variance across different demographics such as income, race, and education.

Web usage demographics

Sparklines Using the New Google Charting API

Google’s new charting API is one of the cooler technologies we stats geeks have seen in quite awhile. I had heard that they were going to release some sort of live charting application, but what they’ve quietly announce with make it really easy for anyone to integrate gorgeous charts into their webpages or applications.

Sparklines can be easily integrated — just set lfi as your chart type.

The sparkline comparison shows Tom Brady’s TD passes per season. His average for the 2007 season has been 3.2; if he maintains that average he’ll finish with 54 TD passes, setting the new NFL record. Will he do it? Well…that’s 9 more TDs needed in two games. The sparklines clearly indicate that his late season production tends to slip!

Tom Brady TD Production by Season

Season TDs by Game Game Average and Season Total
2007 Average through 15 weeks=3.2 TD/Game | Est. Total: 54 TDs
2006 Average TD/Game=1.5 | Total: 24 TDs
2005 Average TD/Game=1.6 | Total: 26 TDs
2004 Average TD/Game=1.8 | Total: 28 TDs
2003 Average TD/Game=1.8 | Total: 28 TDs


Some useful links regarding the Google Chart API:

Also check out this interface for creating charts…