Data Scout
Streamlined search creation
Wizard based input creation makes it easy to create and manage your search criteria in an easy to use interface or use API’s to fully automate your Data Scout needs.
Intuitive job management interface
Quickly find jobs to analyze results or update search critiera in an intutive platform
Extract, normalize, and deliver data with ease
Get the data you need, when you need it
Start a search right away or schedule it to start later for one time and recurring searches providing you with full control from start to finish.
Make informed strategic decisions that outsmart and outperform your competition
Embedded result data to easily monitor the competitve landscape
See how the data changes run over run quickly by clicking through past searches and identify changes with built-in Quality and Output charts.
Unmatched scale that powers your business growth
Access to over 5000 sites in over 25 verticals without writing a line of code
Seamless data normalization
Bring your own data mapping tables to normalize result data to streamline the analysis with cleansed data
With QL2’s two-tiered matching technology, our customer achieved these results:
Sending people in stores to look at assortment is difficult to scale and can limit your regional coverage. Using regional store selection online identifies assortment differences with strucured and easy to analyze reports.
Schedule a Demo Today!
Getting started with QL2 is simple.
In our first conversation, we’ll discuss:
- How do you identify competitive pricing gaps today?
- What about your current solution has you looking for alternatives?
- What problems are you trying to solve?
Then, we’ll dive into learning more about your requirements, such as:
- The list of sites you want to monitor
- The categories you want to monitor
- Frequency of pricing or assortment updates needed
- Number of SKUs you need matched or monitored
- What industries are of interest to you (flight, car, hotel, etc.)
From there, we’ll handle the collection, matching, and delivery of data.