Leanplum vs. Localytics

I think Leanplum is great for any company that needs to use push notification to drive revenue or KPI growth. I often find that it can be very costly to integrate analytics solutions & also build good reporting from the data. Leanplum provides a lot of great analytics & reporting right out of the box, especially around push events. This makes it much easier for the managing marketing user to optimize campaigns and increase their team & company's KPIs.

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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.

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Independently Invited by TrustRadius

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• Viewing the history of a campaign. Leanplum shows exactly what a customer has been sent on which dates/times and due to which actions.
• AB Testing - allows us to see which messages are appreciated/opened more by which customers
• Team collaboration - we can see easily how recently a campaign or message was updated

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Independently Invited by TrustRadius

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• Great web interface which provides a couple of levels of pivoting and filtering of data
• Straight-forward integration for simpler use cases
• Access to raw data through S3 for use in your own data pipeline

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Independently Invited by TrustRadius

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• Ability to create User Stories with a predefined funnel of actions that will chain themselves
• Ability to tag users once they enter or leave specific segments
• Should show in a simple page the main KPIS that matter for all our games at once
• More granularity in granting access to subsets (not sharing everything per account)

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Independently Invited by TrustRadius

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.

There is a lot of competition. I would renew if there isn't anything more exceptional that would justify the re-coding and implementation load costs

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.

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Independently Invited by TrustRadius

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

I was not a part of making the decision to use Leanplum over its competitors.

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Independently Invited by TrustRadius

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 have not used other products but are going to start exploring making a switch to a new platform.

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Independently Invited by TrustRadius

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 helps us build the right features for our users with the help of A/B experimentation
• Re-engagement notifications help us keep company data metrics

Incentivized

Independently Invited by TrustRadius

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

• Was our first provider of user-level event data
• Allows for many users to easily answer their own questions before making requests of the data team
• Raw data dumps gave the data team the ability to provide more in-depth analyses.

Incentivized

Independently Invited by TrustRadius

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