Unacast Reviews

Great customer service, with fast response to your questions. The team was always willing to help me with my many questions.

The ability to bring in our own polygons was a game-changer for foot traffic data for us.

I have no major dislikes or downsides to using Unacast at the moment. It's been a pretty smooth transition from our previous data provider.

The key differentiator for us when deciding to purchase the Unacast Pure Data feed was the bi-hourly updates of data provided to the cloud.

Appreciated also the flexibility provided to suit our contract and payment needs!

I do not think there are any downsides by using Unacast. Acquiring such datasets may have some issues but it does not have anything to do with Unacast but rather than with the process/data itself.

By using the PURE Dataset my company has the ability to understand human mobility. Where and when people move in certain locations of interest. Can not disclose any further information.

The Unacast data that I use (Pure and Activity) provide high quality and detailed information on mobility patterns. I particularly appreciate the ways in which the Activity feed has clustered pings together, compared to the Pure feed. I also found the support that Unacast provided to be exceptional. I was able to get on a Zoom with one of their engineers so that I could understand some aspects of their data that were confusing me and that conversation really helped me to better understand how I could get the most value out of their data.

As an academic, I am also a bit of a difficult client since my ability to purchase data relies on securing grant funding, which can take as long as two years. Unacast was a great partner through that process. We got some pilot data at a reasonable price that we were able to learn on and those data really helped us to secure the money we needed to purchase their data.

It's almost a humble brag, but the biggest problem with Unacast and their data is the size of the data! I am not used to working with datasets that are tens to over a hunder TB in size. That was a really steep learning curve and again something where Unacast listened and worked with me to help figure out how I could manage the data more efficiently.

Quick to respond

Friendly contacts

Always willing to help /problem solve

Have yet to have anything bad to say about Unacast.

The work done to ensure the quality of the data instills confidence that the results of the downstream work using the data are reliable.

My experience has been very positive. Everyone we work with at Unacast is eager to help us find solutions.

Retail footfall

We left our last data provider because of the support and lack of accessibility; Unacast's team has done everything to make us feel like a priority.

NA .

At a basic level, Unacast helps us create a conversion funnel for our clients and a demographic snapshop of who is shopping at a location.

Unacast has been receptive to changes we needed in how they deliver their data and insights to our team. In general, the team is very responsive and easy to work with.

The worst thing about Unacast is the same flaw with most geolocation companies which is that the data is derived from SDKs over which they have little control.

Unacast is part of our data backbone which is used for activation, measurement, and analysis across our digital and in-store media products. It's helped us get more sophisticated in the solutions we deliver.

The daily data feed reliably arrived with appropriate metadata for us to perform ETL actions and begin analysis. The Unacast team was always promptly responsive to any questions. If our primary contact didn't immediately know the answer to one of our questions, he communicated within Unacast and provided us with an answer promptly. From a cost perspective, utilizing an existing source of relevant data was more cost-effective than designing and launching a new data collection process.

There is nothing to dislike about the Unacast team. All data sets have strengths and weaknesses; that is reality and has nothing to do with Unacast in particular. Some data labeling changed, but it was telegraphed in advance so we could adjust the ETL procedure slightly.

At Stanford we utilize Unacast data for epidemiological studies. A daily feed of mobility and granular venue visit data has the potential to assist with forecasting disease spread. There is significant potential for mobility data to contribute to public health efforts in the future.

Visitor information for the project would not have been available without Unacast, it provided a solid understanding of who is visiting our sites.

Nothing comes to mind. We did have a bit of back on some aspects of the data but that was sorted out.

Understanding who visits these sites without having to do actual visitor counts which wouldn't be practical given the number nor would it provide the additional demographics

The data is exactly what we need to help clients understand consumer behavior. The best part is not the data but the people of Unacast. Their client success teams are involved and help with solutions.

There are not a lot of things I dislike about Unacast. I do wish there were some online ways to manipulate their data. We currently take a data excerpt for the work we do.

We are solving for people movement as it relates to media usage. Meaning, we are looking at the digital and broadcast behaviors of the consumers visiting certain retailers to help those retailers and media properties better serve their consumers.