Collecting data from many sources means it’s crucial to have a centralized storage solution. But what if your budget isn’t ready for a custom marketing database?
- You still require the ability to match individuals across sources.
- You want the analytics potential to build better customer experience and prospect audiences based on activities, events, and demographics.
- And, you likely need this to happen in weeks, not months.
How Rapid Audience Layer helps
Rapid Audience Layer (RAL) is a cloud-based data management solution that is quickly onboarded and allows for analysis, insights, and visualization of your data.
For marketers, this is a game changer.
The ability to get a database environment deployed and functioning within weeks so you can build insights, is a huge win. With RAL, your analytics team can spend less time on data management and more time on analysis.
We have worked across multiple industries and are a trusted Google partner.
Looking for technical information about RAL?
Dive deep on Rapid Audience Layer
Whether you're ready for a demo, want to watch as you go with a webinar, or are just interested in receiving more information about data management in the cloud, we've got a number of ways for you to go in depth on RAL. Complete the form on this page, and we'll make sure you have the information you need.
We'll even throw in complimentary access to an on-demand recording of our RAL webinar
Key takeaways from the webinar include:
- An overview of RAL—Merkle’s scalable, entry-level data management solution
- Understanding how to onboard first-party, second-party, and third-party data into RAL quickly
- Exploring common RAL use cases, including how it solves for recognizing the same individual across data sources
- Hearing about two clients’ challenges and their results after implementing RAL
- Reviewing RAL’s low-cost buying model options and how to get started with RAL
Read more about Rapid Audience Layer (RAL)
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Canon Integrates Marketing Database with Google Cloud Platform
Read Case StudyCanon redesigned its entire B2C strategy and developed a 360-degree view of the customer, generating insights, and setting up marketing channels for meaningful interaction with customers
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Beverage Brand Speeds Up Event Stream Analysis
Read Case StudyA large beverage retailer used the Rapid Audience Layer (RAL) solution to break down data siloes and better understand the customer experience.
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Alleviating Data Management and Analytical Challenges Using A Cloud-Based Approach
Read ArticleFor marketers to truly harness the power and efficiency of people-based marketing, they must first get their data house in order.
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How to Centralize Your Data and Improve Audience Analysis
Read PostMore data means a struggle, not only with the sheer volume of data, but also in housing it. The solution? Utilizing a centralized storage platform.
Key benefits
- A centralized way to store multiple data feeds, including CRM, digital, and third party.
- Affordable and quick deployment — using current cloud technologies and shared RAL support teams.
- Standard data hygiene and identity resolution (CDI), so you can recognize the same individual across several data sources.
- A foundation with add-or-remove extensions — sparing you additional investment in marketing cloud technologies.
- Evolves as your marketing needs mature and can migrate to a custom data management solution with no rework.
Start small with your data management, then expand as needed
RAL is a cloud-based repository used to collocate marketing data from many different sources. Your data is stored in its natural/native form and can be delimited, fixed width or Excel format. The repository is cloud based and is offered on Google Cloud Platform (GCP), AWS and Azure. Using tools such as Big Query, Snowflake and Redshift, it enables the customer to explore, query, report, visualize, and analyze their own data quickly.
Functionalities included:
- Standard hygiene and identity reslution (CDI) using cR-KB
- Data Ingestion and Loading
- Automatic file schema detection
- Auto scaling: additional resources assigned to break larger files down to process them faster
- Meta-driven file mapping
- Easy to integrate visualization/discovery tools
- Cloud-based query tool
Meet Our Team
Ready to talk to someone about RAL?
