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Planning for Success: Constructing a CDP Use Case Roadmap

Make a plan for the key use-cases that you need to accomplish with your Customer Data Platform implementation.

Aren Kabarajian.

Aren Kabarajian

June 12, 2023

7 minutes

Use case complication.
  • Goals & Strategy: What goals are you currently tasked with achieving? How variable are the goals within your campaigns and across your channels?
  • People & Process: Who are your main collaborators when working to achieve your goals? What change(s) would you like to see in the campaign-based workflow?
  • Data Assets: What are the key data assets internally at present? What are the biggest gaps in your current data?
  • Marketing Applications: How are you using customer data in your marketing applications today? Please cite a current application that is seen as a success.
  • Key Channels in Marketing: What channel gets the most effort, time, and/or money from your perspective? What role do you play in defining an audience? What techniques do you use to curate your audiences?
  • Reporting: How do you evaluate the success from your marketing campaigns? Is there data you’d like access to for reporting but consistently lack?
  • This framework aims to outline clear parameters to standardize your objectives and align your goals.

    Identifying Business Outcomes

    When it comes to CDP deployments, there are three core outcomes that organizations are looking to drive:

    1. Engagement: Improving your personalization efforts to drive engagement across channels and deliver better customer-facing experiences.
    2. Reach: Broadening your marketing channels so you can increase touchpoints with consumers via lifecycle marketing.
    3. Efficiency: Optimizing audience targeting capabilities so you can increase conversions, lower customer acquisition costs (CAC), and improve return on ad spend (ROAS)

    Figuring out which factor is most important to your business will provide greater clarity as you align teams and prioritize use cases.

    Aligning Teams

    As a CDP is being implemented, getting started on use cases often requires inter-departmental collaboration and alignment. Developing a Use Case Roadmap provides a springboard for that inter-departmental alignment. You should facilitate this by involving key team members from analytics, data engineering, marketing, and marketing operations. This makes it much more of an organizational priority.

    • Collaboration: When crafting a roadmap, it’s essential to gather opinions from a diverse set of team members. You can accomplish this with an interview process. This will help you create a complete picture of data assets, identify gaps in your marketing approach, and to determine the top-ranking channels.
    • Feature enablement: Outlining use cases can help refine which features to adopt and where to focus your activation efforts. With a plan, feature prioritization for launch becomes more apparent. Your CDP users can focus on learning how to use the tools they need in the platform or configure the integrations required for outbound deployment based on the specific use cases you’ll be addressing.
    • Mindshift in execution: By categorizing use cases, your teams can enter “sprints” with a clear focus, allowing your various members to get involved based on their roles. This prompts a discussion across your organizational teams around audience definitions. This holistic understanding will also carry through to your omnichannel deployment. You can structure touchpoints sequentially with journey-building features as users qualify for an audience. Prioritize use cases that deliver value early and communicate the successes to build momentum and support for the initiative.

    Use Case Prioritization

    Figuring out which use cases to prioritize when implementing your CDP can be very challenging. You should prioritize use cases against ease of execution (Effort) and expected return (Benefit).

    • Benefit: The overall business impact of the use case in terms of helping reach business goals or potential ROI. This also includes scale and/or the number of channels reached in a given use case. (NOTE: a higher impact equals a higher score.)
    • Effort: The amount of lift it would take to start the use case, including technology access, enhancements, and assets needed to go live. (Note: a lower effort equals a higher score)

    An exercise to help assist this is scoring each use case on a High, Medium, or Low Scale and averaging those results for both descriptors.

    • Low Lift: Using technology and infrastructure that already exists.

    • Medium Lift: Use Cases that can be implemented with a certain amount of work to prepare for launch.

    • High Lift: Use Cases with activation capabilities that have a longer timeline but will add large incremental value.

    This exercise will help you establish a baseline to prioritize your use cases that lead to early success. Frontloading quick wins will jumpstart the adoption process so you can build momentum to tackle your more complex use cases.

    Some examples of use cases that apply here are creating central suppression audiences for a brand, expanding an email journey to deliver at various omnichannel levels, or leveraging recommendation models to engage users when they arrive on-site.

    Traditional CDP vs. Composable CDP (Comparision Guide)

    Download our comparison guide to understand exactly where traditional and Composable CDPs differ.

    • Event Collection
    • Real-Time
    • Identity Resolution
    • Audience Management
    • etc.

    Final Thoughts

    The value proposition of CDPs is clear because organizations are increasingly looking for ways to activate their existing first-party data. Whether you’re considering implementing a Legacy CDP or a Composable CDP, a use case roadmap will help streamline your execution so you can maximize your investment.

    Bio: Aren Kabarajian is a Marketing Solutions Specialist at Actable. Aren is responsible for helping global brands better organize, analyze, and activate their first-party customer data. Prior to joining Actable, Aren worked extensively in the programmatic media space and was a machine learning consultant for the largest transit system in the US. Aren has a Masters Degree in Applied Urban Science & Informatics from New York University.

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