Likelihood to Recommend
We use Q for quantitative data. If you know what you are doing it can still take a bit of time to manipulate your data into the most suitable format for the software to help you. But it is time well spent because once it's set up, Q makes the analysis a breeze. We use it for producing data tables, word clouds, significance testing, audience segmentation and coding of open-responses.
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Dataxu is great for running multiple campaigns at the same time. It's reporting features are great as well as the exchanges it has to offer. For a company just wanting to run one campaign, I don't think it would be worth their time learning how to navigate Dataxu; however, for a company running to run multiple campaigns, Dataxu makes the process easier. Dataxu has great customer service representatives that provide superior training whenever needed.
Read full review Pros Produces really easy to view tables Automatically applies significance testing to data, helping the user spot trends Create and insert your own variables and filters to help manipulate the data Read full review The platform's mobile serving capacity is great; spending is always consistent and the impression numbers are some of the highest we've seen. We can always depend on this method of ad serving to get us the results that we and our clients expect. The intelligence and audience information (found under the Reports tab) is helpful when writing a "story" for the client; it assists us in determining future targeting strategies. Custom Queries are also available under the Reports tab and these are extremely helpful when we need to view specific details about the campaign. The dashboard's spend-to-date graphic helps us to immediately recognize what campaigns are falling behind so that we may adjust the budgets accordingly. Read full review Cons The pricing model is a little restrictive for smaller teams that only really need one license but have to buy a 2nd to help out modest users/users learning the ropes. Learning the basics can take quite a bit of time but they offer plenty of free resources that help you through it step-by-step Too be honest, I don't have too many complaints Read full review Website blacklisting Flagging problems. For example, if a campaign has been running a week and hasn't spent any of the budgets, there could be a setting enabling it from doing so. When you have multiple campaigns running, it's hard to track this. Read full review Likelihood to Renew
It is not in my jurisdiction to renew or end contracts with DataXu. I know that the high cost to maintain a contract with DataXu can be off-putting
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At Haberfeld, we had our own customer service representative out of Boston. He provided superior and timely support for all of our questions and needs. He also ran test campaigns to show us what our potential impact could be before we put dollars towards anything. He even came all the way down to Nebraska to visit with us at one point. Whenever we needed something, he was quick to respond and provide appropriate resources and training.
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We still use Excel in order to use Q, but all the analysis happens in Q. No need to learn formulas or reformat spreadsheets. Q does all the heavy lifting.
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We work with multiple platforms, not solely DataXu. As of late, AdWords has proven more beneficial to us. AdWords is very user-friendly and they are easy to contact. If we need a question answered, we can simply hop onto a Google Chat and get the responses we need to move forward. DataXu is much harder to get in contact with and their Help Beta tab is not especially informative. If we need to serve impressions, DataXu is certainly the server to utilize
Read full review Return on Investment Time saving - not exaggerating when I say we can do at least 10x the amount of analysis than we could without it More thorough insights obtained from our data sets Makes data engaging to other stakeholders Read full review Provided us with accurate and timely data to provide to clients. Enabled us to streamline our process for running PPC ads for over 80 clients. Allowed us to show our ads to households across multiple devices and relevant exchanges. Read full review ScreenShots