Adobe Journey Optimizer vs. Localytics

AJO is best suited for advanced Martech teams who are already bought into the Adobe ecosystem through the use of RTCDP, AA, AAM, etc. Organizations that are starting their Martech journey are good candidates, as well as those who are reevaluating all of their marketing channel vendors near the same time. Success in AJO is highly dependent on the number of marketing channels added. Close coordination with database teams is essential for success. Many of the offline data requirements benefit from modeling of the data. Having dedicated resources developing AJO (RTCDP)-specific views will reduce the amount of QA required to bring the solutions to market

Incentivized

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.

Incentivized

• pre built use case playbooks provide a basis for various trips
• provides customized messaging
• custom actions let different systems and databases be easily integrated

Incentivized

• 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

Incentivized

• It doesn´t keep the last search you sis in the journeys and you have to enter the search parameter every time
• there is a window of time during the day that the audiences give out errors and you can´t see the estimates
• I should be able to select STO in campaigns, not only in journeys
• I should be able to select the email parameters when using campaigns

Incentivized

• 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

At times, Adobe Journey Optimizer offers too many options, making things less user-friendly than I would personally prefer. As mentioned earlier, there is a tendency to encounter decision paralysis with the increase in available options. While having options is excellent, in typical Adobe fashion, too many can be overwhelming for users

Incentivized

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.

Incentivized

They both have their pros and cons, I feel it depends on the users that the products are targetting, SFMC is has more specialized customizations, Adobe does offer similar but require a higher technical knowledge which is not something that is provided bt the other product

Incentivized

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

Incentivized

• Multichannel onboarding journey improving the engagement of freshmen in the business, resulting in a decrease in the dropout rate.
• Separate business of anticipation of receivables from suppliers that used to be manual and now I have connected this entire operation via the S3 connector, less manual work and significant gains in conversions and payments

Incentivized

• 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