Q Research Software vs. Singular

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.

Incentivized

Singular is perfect for companies that have limited BI developer resources. If you work with more than a few media partners, Singular aggregates all pre-install metrics and automatically connects it to your BI data / MMP provider. This use is perfect for executives/directors that want to have a quick snapshot of their marketing spend. Singular also works well for media buyers that want to export Singular report as a base for creating optimization reports.

Incentivized

• 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

Incentivized

• Creative reporting is one of the features of Singular (formerly Apsalar), which I love the most.
• Tracking the user journey right from the click to purchase.

Incentivized

• 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

Incentivized

• Providing a clear solution to cross-device attribution and measurement: no vendor does this well currently.
• Ability to toggle advanced attribution models: first-last touch, time decay, etc.
• Comprehensive deep linking solution (similar to Branch).

Incentivized

When we report about a bug or a problem the support usually responds quickly and try to provide a solution/fix in a timely manner. I wish that they had a monitoring tool to notify me about bugs before I spot them myself.

Incentivized

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.

Incentivized

AppsFlyer is the top of mind MMP, while Singular would be my second choice with Adjust. AppsFlyer has a great UX and customer support. While Adjust is still lagging a little bit behind.

Incentivized

• 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

Incentivized

• Has helped to improve the ROI.
• Helped to identify the right set of audience which need to be targeted.

Incentivized