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AdIndex ®
Overview | AVs | Brand | Media | Mobile | Premium Gaming NEW | Creative Evaluation Plus NEW Glossary of Terms | Frequently Asked Questions
How does AdIndex work?
AdIndex is a tool that helps advertisers measure the effectiveness of their online
advertising. We do this by collecting data about people's attitudes and comparing that
information to advertising exposure data. The objective is to see if people who were
exposed to online advertising feel or think differently than people not exposed to the
advertising. This is essentially how we quantify the communications value of the
advertising.
In order to compare the perceptions of people who saw an ad campaign and those who did
not, AdIndex uses a piece of technology called AdScout, which is simply an HTML code
that keeps track of advertising exposure information and JavaScript that allows the
creative to spawn a pop-up survey invitation. AdIndex also uses online surveys to
collect attitudinal data from online consumers. The AdIndex online results page stores
algorithms and slices the data to calculate the effectiveness of the campaign in
different ways. AdIndex allows advertisers, agencies and publishers to filter the data
in many ways depending on what is most important to them.
Is AdIndex easy to implement?
Yes! To implement AdIndex, follow the four-step ABCD process: A for Activate, B for
Banners, C for Create Surveys, and D for Data. AdIndex was developed by Dynamic Logic
and has multiple patents pending.
What is AdScout?
AdScout is a technology invoked by a javascript tag that is trafficked with the creative used in an advertising campaign. It tracks the user's exposure to the creative and includes mechanisms to decide if a survey invite should follow. When that creative is delivered, AdScout is activated and writes a cookie including information regarding the creative, exposure frequency and exposure timing. AdScout stores no other information.
What is the methodology for AdIndex?
The methodology behind AdIndex is called "control/exposed." There are two groups of research respondents randomly surveyed online at the same time. One group is called "exposed" because they saw the ad campaign being tested. The other group is "control" because they did NOT see the ads being measured.
The two groups are recruited and surveyed in the same time period from the same media vehicles. By comparing their survey data and looking for any differences, we can attribute the differences to exposure to the ad campaign being tested. The "control/exposed" method is ideal because it controls marketing happening at the same time. Many advertisers run campaigns in multiple channels at the same time - TV, print ads, billboards in addition to the online campaign. Since AdIndex recruits the control and exposed groups at the same time, both have had an equal chance of seeing the ads in alternate channels. This means that the only difference between the groups is that one saw the online campaign. Any differences in the attitudes of the groups can be attributed to the online campaign.
AdIndex® Methodology - PDF
What is the difference in AdIndex Live and AdIndex Lab?
AdIndex Live is plugged into actual campaigns and provides metrics in real-time. We call
this version AdIndex Live because it runs while the campaign is live (versus running
before and after the campaign - also called a "pre/post").
In addition, we have developed another tool called AdIndex Lab that uses a controlled
setting for ad exposure. Whereas AdIndex Live is meant to start when the actual campaign
starts, AdIndex Lab can be used prior to campaign launch for pre-testing or even after a
campaign has already started and is similar to an offline ad copy test.
In AdIndex Live, the respondents are recruited from the sites where the advertising
campaign is running and exposure information is obtained from the cookies set by AdScout
code. In AdIndex Lab, the respondents can be recruited from variety of sources and are
then asked to review web pages where the ad(s) are inserted.
What does "statistically significant" mean?
Statistical significance is a measure of probability. It tells you the odds that the
results found in the research are "right". For example, if awareness was lifted at a
significance level of 90%, this means that the odds are 90 to 10 that awareness was
lifted among EVERYONE who saw the ad (remember that we only survey a portion of the
people who see the campaign).
Since many marketers make decisions based on research results, they need to make sure
the odds are VERY HIGH so that the results are projectable. AdIndex uses a minimum
significance level of 90%. Anything less and the odds are too high that the difference
between the control and exposed groups can be attributed to sampling error and not the
ad campaign.
How should I interpret these results?
Interpreting research data is a lot like looking at mosaic artwork - lots of little
points of data that can paint a bigger picture. Just as different people can see
different things when they look at artwork, the same research data can also be
interpreted in different ways. That said, there are some basic rules to follow when
reviewing AdIndex results:
1) Look at the initial data for the big picture to see what is happening on the campaign
overall. Look for anything that is statistically significant. Don't worry if you don't
see anything on this top level. Many campaigns are not statistically significant at the
campaign level.
2) Filter the results by your target audience, including demographics and category
usage.
3) See what consumers said about the ads themselves. Use the direct feedback to help
explain what the AdIndex numbers show.
If you have further questions, please contact a member of the Dynamic Logic research
staff by calling 1-800-245-2455 or email info@dynamiclogic.com.
What technical specs do I need to know in order to implement AdIndex?
There are two versions of AdIndex: AdIndex Live, which runs from the start of the
campaign, and AdIndex Lab, which can run before or after the campaign has started.
To implement AdIndex Live, send the creative(s) to Dynamic Logic prior to starting the
campaign. The campaign creatives will need to be tagged, which converts them to rich
media. To recruit respondents who have seen the campaign, AdIndex Live uses pop-up
windows that are spawned from the creative. We strongly recommend using pop-ups because
they increase response rates and do not use up any inventory. If pop-ups are not an
option (depending on the sites in the campaign), then banner ads can be used instead.
The banner ads may require sequencing in order to recruit the necessary number of
"exposed" respondents.
To implement AdIndex Lab, it is still necessary to send the creative to Dynamic Logic.
This does not need to be done before the campaign starts, but will be needed in order to
start AdIndex Lab. No other technical specs are required. Recruiting can be done either
using recruiting techniques similar to AdIndex Live or through your own email lists.
For more information, please contact us at info@dynamiclogic.com
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