Adobe Real-Time Customer Data Platform vs. Ensighten Pulse

Adobe Real-Time Customer Data Platform is well suited for organisations that have extensive PII data with attributes & consumer behaviors. Also, who wants to run omnichannel customer acquisition and focus on middle- or low-funch campaigns? Also, having multiple digital assets (i.e., website, mobile application, CRM, SMS campaign channels, etc).

Incentivized

Ensighten Pulse is particularly well suited to the type of work Ovative/group does in the marketing attribution space, but is also very well suited to drive the data collection efforts for personalization on-site as well. Pulse is also extremely well suited in scenarios where a client may want to track individuals across many domains or touchpoints

• Real time segmentation and profiling on high volume of customer data
• Integration of various customer data sources, ranging from CRM, Web Analytics, EDL and other custom sources
• Data governance of customer data in the platform, down to attribute based access controls
• Activation across paid media, marketing automation and experience optimization platforms
• Easy to use interface for marketers

Incentivized

• Flexibility - Ensighten Pulse is truly just the pipes; it effectively and consistently gets data from any touchpoint throughout your digital ecosystem to a single, consolidated location. It does not, however, make decisions about how that data is then processed. This raw data access allows flexibility that is unmatched by other offerings.
• Data Ownership - Because Ensighten Pulse is a first-party cookie, the data collected is fundamentally owned by the owner of the domain. Additionally, because Ensighten does not process the data at all, the data in its rawest form is made available directly to be stored and processed however either we or the client see fit.
• Platform Independence - When we at Ovative/group are implementing Pulse for a client, it is extremely beneficial for everyone involved that the client's current marketing ecosystem can remain largely unchanged; Pulse can ride 'side-by-side' with any existing marketing analytics or execution platforms. This operational ease of implementation has been a huge upside of Pulse.

• Some features that are not yet released to all customers are necessary to manage cases like device sharing
• The methodology of how data is stored and manage is relatively unique and requires some ramp-up to fully understand
• There are some areas, like deduplication, where the platform doesn't provide the flexibility one would expect

Incentivized

• We were one of the first users of the product and there was very little documentation or best practices established.
• Ensighten's TMS product is very 'marketer friendly' and the Pulse product requires a much more technical skillset to implement and leverage.

Adobe Real-Time Customer Data Platform quickly becomes a must-have once you are through the "build it" phase. Direct integration with a wide variety of disparate systems makes it a difficult proposition to remove once users are trained in its various systems and fully bought into the strategy behind its use. Support for a wide range of teams is helpful in adoption and continued use of Adobe Real-Time Customer Data Platform - everyone in data engineering, martech, frontend marketing can find a use case to pursue.

Incentivized

Activation - great Segmentation - in UI, there should be the possibility of writing advanced code Tags. Both Mobile and Desktop Data Ingestion - might be pain in the ass. Changing one customer attribute is time-consuming. It should be some super admin or some feature. One user can change some customers' attributes easily. Data Transformation - Maybe there are some modules for that in AJO?

Incentivized

Adobe CDP is a very capable product that offers all of the features that its competitors offer and more. The only differences can be noticed while connecting with other external tools. Adobe can help easily connect with tools within its ecosystem: Analytics/Marketo/Target, etc.

Incentivized

• it has allowed us to gain more insights into our profiles
• we have been able to manage our schemas with ease

Incentivized

• We identified over 20M impressions that should have been re-allocated due to frequency caps and have utilized our modeling to push more adaptive frequency caps by marketing message through our ad network.
• We will pilot a program where we block 'saturated' users and those exhibiting 'bot-like' behavior through our ad networks to further improve our advertising effectiveness.
• We do have a resource cost in maintaining a separate server and a systems developer to maintain our environment. Where I'd prefer to pay for a full SaaS application and utilize that resource in another area.