Upland Localytics helps you connect with mobile app customers on a deeper, more meaningful level.
$95
Per Application Per Month
Sift
Score5.5 out of 10
N/A
Sift Science headquartered in San Francisco offers their software, Machine Learning and Device Fingerprinting, for fraud detection and prevention, priced per services added and volume of devices and orders checked.
For the price and the features available, Localytics is one of the best options. It is more robust in areas that we don't need it to be and overall there could be simpler flows for sending push notifications or performing actions that you need to do every week. Also, the data it sends back on how push notifications perform is basically useless. There needs to be more explanation on the impact notifications have on users. The data would always say that notifications drove less engagement but we would see engagement go up every time we sent a notification.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We haven't really taken advantages of the full spectrum of what the suite offers, but for the segment that we are using that identifies users across multiple accounts and devices, it performs phenomenally. In the future we'd like to enable auto-banning based on a risk index score that Sift Digital Trust & Safety Suite would contribute to.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The biggest thing I would like to see with Localytics is the capability for more correlations. The limited amount of correlations available does restrict the type of analyses that could be done with the data.
An easier interface to move data into Microsoft Excel would be very useful, rather than creating annoying workarounds.
More/better automatically scheduled reporting, as well as an Excel plug-in to access the data rather than being restricted to the Localytics interface.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It would take several weeks to hear back from the billing team. It took 3 months to resolve an invoice last year. Their technical support is very responsive. I would typically get a response in under 24 hrs.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Sift Digital Trust & Safety Suite provided the easiest integration points plus reliability compared to other vendors we evaluated. We were able to incorporate their data into a custom UI of our own to manually audit and ban users.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info