Batch Insights is a new Online tool for mobile developers & other marketers that aggregates mobile push notifications & lets users search & filter through the flood of data to find what they need.
There are billions of mobile push notifications sent every day to people all over the world, & the data in these messages will show you exactly how each company is marketing its products & services. The problem, of course, is that it’s really hard to mine Big Data if you’re a small business or mobile developer making apps in your basement.
Thus, the kind of computing resources you’d need to collect information about your competitors & filter mobile push notifications based on your keyword queries would take your IT investment to a whole new level. You could individually monitor the messages being put out by all your competitors by installing their apps & reading every notification by each competitor, but you still won’t be able to search through the billions of notifications floating around. Besides, installing & watching your all competitors’ apps will consume a whole lot of time or manpower, & it still won’t provide you with industry-wide insights.
It’s far easier when you can just sign up & create an account with Batch Insights & run your queries, track specific competitors & seek inspiration for your own marketing ideas from all the push notifications you see.
What’s intriguing is that they’re also coming up with an API, which should enable a lot of mobile developers to use the push notification data & create more specific industry-based apps.
Also note that this is the 1st product release for mobile developers from the team at Batch.com – a domain name that boosts their prospects a lot. The company plans to release more such analytics tools under this domain for mobile developers.
Batch Insights was founded in Nov 2014 by the same Paris, France-based team that founded Appgratis. Simon Dawlat is Batch.com CEO, with Sylvain Ramousse & Antoine Guénard as co-founders. The team has raised US $13.5 million for Appgratis in Series A funding in Jan 2013.
Image Credit: Batch Insights
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