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Adobe Real-Time CDP

Score8.3 out of 10

65 Reviews and Ratings

What is Adobe Real-Time CDP?

Adobe's Real-Time Customer Data Platform allows marketers to collect, normalize, and unify known and pseudonymous consumer and professional data into real-time profiles. These person or account-based profiles then power B2B, B2C, and hybrid customer experiences at scale.

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Media

Screenshot of Adobe Real-Time Customer Data Platform Profiles by Data Source
Screenshot of Adobe Real-Time Customer Data Platform Profiles and Segments
Screenshot of Adobe Real-Time Customer Data Platform Customer Profile
Screenshot of Adobe Real-Time Customer Data Platform Scoring Summary

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Screenshot of Adobe Real-Time Customer Data Platform Profiles by Data Source

Top Performing Features

  • Standard visitor segmentation

    Ability to segment, or target audiences based on criteria you set (e.g. URL, cookies, IP address, custom javascript, traffic source, device, browser, language, ad campaign, geo-targeting, time of day) and enable tests to run for specific visitor segments.

    Category average: 8.2

  • Website personalization

    Ability to optimize user experience for individual site visitors based on certain characteristics and past actions (e.g. past purchases, geolocation, demographics, device type, referral source, etc..). An example of this is product and/or content recommendations based on visitor characteristics.

    Category average: 8.9

  • Event Data

    Refers to the overall quality and tracking of cross-channel event data linked to actions taken by specific user accounts.

    Category average: 7.4

Areas for Improvement

  • Identity Resolution

    Leverages centralized data flow to identify and sync leads, prospects, and customer accounts and deduplicate user information while addressing issues such as third-party cookie deprecation.

    Category average: 8.2

  • Data Visibility

    The ability to visualize usage and account data, including funnel and pipeline and front and back-end visibility.

    Category average: 7.8

  • Data Enhancement

    Includes bulk or automated data cleansing, appending missing data from contact lists and inbound leads, and the ability to process data with an optimized number of fields.

    Category average: 6.5

Who Buys & Uses Adobe Real-Time Customer Data Platform

Pros

  • Creates and maintains unified customer profiles in near real-time
  • Integrates diverse data sources, including third-party tools
  • Facilitates advanced audience segmentation for targeted personalization

Cons

  • Significant complexity and steep learning curve for users
  • Challenging and intricate data design and integration processes
  • High financial investment and overall cost

My 1st hand experience using Adobe Real-Time Customer Data Platform

Use Cases and Deployment Scope

As an an event management company handling weddings, corporate events, exhibition, csr activities, concerts, conference, and other brand activities Adobe Real-Time Customer Data Platform is a game changer for me. With gen studio we created various campaigns but with Adobe Real-Time Customer Data Platform truly helps us to understand our customers and deliver to them the personalized experience with the help of unifying customer data from various sources. Today customers are scattered across various platforms like website enquiries, whatsapp, fb & instagram, emails phones etc. Adobe Real-Time Customer Data Platform unifies this to one customer profile like client booked for corporate annual meeting or product launch than next time my sales team already knows their preferred choice venue, their budget favorite event themes etc. so it's saved a lot of time and retain the clients accordingly.

Pros

  • Creating customer all round 360 profile
  • Personalized marketing
  • Increase in repeat clients

Cons

  • Lacks in ai powered event recommendations
  • Real time event engagement tracking is necessary
  • Simpler dashboard for non technical users

Return on Investment

  • Increase in repeat business is good roi sign
  • Prediction of client requirements
  • Better lead scoring

Usability

Other Software Used

Adobe Advertising Cloud, Adobe Animate, Adobe Animate

Best CDP platform in the market and reduces users constraints.

Use Cases and Deployment Scope

ADB real-time CDP is ease the process of creating and streaming data sources. It is unifies the solution to the problem of handling customer data from various apps like browser, app and plugin tools.
It helps to identify the accounts from different user IDs
Advanced segmentation engine resolves creation of correct user account and data

Pros

  • Efficiency of operations
  • Data creation algorithm
  • Maintains privacy standards

Cons

  • Requires lot of knowledge to use it
  • Cost is expensive

Return on Investment

  • Reduce time to market
  • Lack of DSPs connection and not upto standard

Usability

Alternatives Considered

Cisco Secure Cloud Analytics, Cisco Secure Access and Data Talks CDP

Adobe Real-Time CDP - A Break-through solution in CDP space

Use Cases and Deployment Scope

In Cognizant (Top HardWare MNC across the world ) we leverage Adobe Real-Time CDP as our realtime datalake for B2C and B2B business. We used some other third party pixels such as DnB to enrich our anonymous data along with other Adobe Solutions. This way we have a solid customer profile with which we apply Query Service to build audience and target the customers with relevant push notification or through Adobe, Non-Adobe channels across their digital lifecycle. We also implemented AEP Web SDK for utilizing the Edge network.

Pros

  • Interactions are in near real-time
  • robust schema,field group settings
  • integrating with various non Adobe solutions as well

Cons

  • Need to simplify the complexity of data design
  • Can have some sample schema across industries which will expedite the turnaround time
  • More integration with non-Adobe solutions similar to AAM

Return on Investment

  • Increasing customer engagements for nearly 15% for B2B segments
  • Revenue increase in ecommerce store by 20% leveraging Adobe Real-Time CDP
  • Reduce turn around time by atleast 25% for overall purchase

Usability

Alternatives Considered

Tealium Customer Data Hub

Other Software Used

Ensighten Manage, Adobe Analytics, Google Analytics

Adobe Real-Time Customer Data Platform - a tool which helps increase revenue with targeted customer mapping and real time tracking

Use Cases and Deployment Scope

We at our organisation mainly focuses on making internet a secure place and are obsessed with customer collaboration. We use Adobe Real-Time Customer Data Platform to combine customer data from multiple platforms we use in action to understand customer preferences and build a unified customer experience tailored to their requirements. Problems like analysing website activity of customer, product usages, etc. Can be resolved using this tool

Pros

  • Analyse website activity of customer in realtime
  • Unified business to business and business to commerce data into unified profiles
  • Helps customising email campaigns for potential leads
  • Helps in targeted messaging

Cons

  • Sometimes I could see latency in the optimisation
  • Initial learning curve of the tool is steep
  • Integration with other tools sometimes is a bit complex

Return on Investment

  • Higher revenue due to targeted marketing
  • Complaint to data governance hence sensitive information is protected. This gives a sense of security to the customers
  • Within same marketing spend we can target more paying customers
  • Helps capture high intent moments of the customer

Usability

Other Software Used

ServiceNow Automated Test Framework (ATF)

B2C and B2B CDP

Use Cases and Deployment Scope

I've recommended Adobe CDP B2C and B2B editions for multiple organizations in food retail, fast moving consumer goods and technology business. Adobe CDP is a powerful solution for customers who are looking to harmonize various sources of customer data to activate personalization journey=ys and advanced segmentation

Pros

  • cross channel experiences
  • cross segmentation
  • data harmonizarion

Cons

  • implementation speed
  • cost
  • learning curve

Return on Investment

  • deeper personalization
  • cost per lead acquisition
  • lead conversion

Usability