Oracle Moat Measurement vs. Supermetrics

Moat Analytics is great when it comes to breaking down how creatives and total ad campaigns have performed. It gives us insight on what we can suggest to the client on what they can do better next time or continue to do that seemed to have attracted the most amount of interactions and clicks. Right now we do not use Moat for breaking down video metrics.

Incentivized

If you are looking to pull and aggregate data from multiple sources for reporting or analytics, Supermetrics is the best option for connecting those data sources into a single table. Supermetrics is less beneficial if you report on a single data source or do not need to aggregate your data into a single source.

Incentivized

• Breaks down how well each creative has done in a campaign.
• Allows us to see the progress of a campaign through its time live.
• Can easily be organized to pull the data you're looking for.
• Can export into an excel doc to then dig deeper and format and look at data outside of Moat.

Incentivized

• Supermetrics is easy to use, the ui is helpful for creating queries.
• Supermetrics allows to run the created queries on triggers.
• Supermetrics allows to connect with different data sources like Google analytics etc .,
• Supermetrics sends alert on the failure of queries to the desired email address

Incentivized

• I’ve experienced some issues exporting reports into an Excel doc and have to manually copy and paste data with can be very time-consuming.
• You have to manually wrap video tags with the MOAT pixel which can be a tedious process.
• Video and display are in separate interfaces so you have to export separately and then consolidate into one report.

Incentivized

• Sometimes I have to refer to the website to find which metrics are what - the names aren't always the same as the platform calls them.
• No public data for LinkedIn.
• Definitely requires knowledge on how to use Google Data Studio.

Incentivized

Moat and IAS seem to be front-runners to measure viewability in the digital media space. Using Moat allows you to measure a number of different metrics but is limited to viewability. IAS offers the same capabilities when it comes to viewability but in addition offers brand safety and ad fraud.

Incentivized

Supermetrics is better because of its ease of use and it mirrors most of the metrics on ad platforms. For some similar reporting platforms, metrics are often called something slightly different or are not able to pull the same data as presented on the ad platform; Supermetrics is the closest you'll get to exact data alignment.

Incentivized

• It has given the media and analytics team more granular metrics to measure for campaigns that may have awareness objectives and no KPIs.
• Measuring view ability ensures that clients media dollars are being viewed by the targeted audience.
• Moat allows you to gain metrics that can be very insightful and how users are interacting with placements, creative, etc.

Incentivized

• Positive! Supermetrics helped us transition into Google Data Studio as our monthly reporting system.
• Savings! We saved money by switching our reporting to Google Data Studio + Supermetrics.
• Time! We save a lot of time on our monthly reports thanks to Supermetrics.

Incentivized