What is data blending?

Data blending is a powerful method that combines a primary data source with a secondary data source into a unified, actionable view without altering the original data.

With Data Blend 2.0, Adriel takes this to the next level, offering marketers a seamless way to visualize and analyze cross-channel data, making complex insights easy to access and understand.

Why do marketers need data blending?

In today's fast-paced digital landscape, brands use many different data sources. Whether it’s online, offline, marketing, or sales data sources, having a clear view of their full funnel is not a straightforward process, often resulting in misalignment.

Therefore, precision and clarity in data analysis are crucial for making informed decisions. Data Blend by Adriel empowers marketers by providing:

1- Real performance metrics:

Move beyond clicks and impressions to see the real impact on revenue. Data Blend helps you track the entire customer acquisition journey from ad spend to final sale.

2- Accurate reporting: 

By integrating and cross-referencing data from different platforms, Data Blend 2.0 minimizes discrepancies and enhances the accuracy of your reports.

3- Save time accessing data: 

No need to juggle between different solutions or spreadsheets, or ask co-workers for insights. Data Blend centralizes all your data, making it easily accessible in one place.

4- Enhanced campaign optimization: 

Blend data, and visualize it within Adriel, or redistribute it to other tier-platforms. Identify trends and performance issues swiftly, allowing for immediate adjustments and better ROI.

5- Customizable dashboards: 

Create personalized dashboards that display the most important metrics to your campaigns.

6- Improved collaboration: 

Facilitate better communication between marketing and sales teams with clear, consolidated data.

7- Flexibility and autonomy: 

Blend different data sources on the fly without relying on data scientists, giving you more control and agility.

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How to blend your data with Adriel?

Step 1: Select your data source

Choose the secondary data source you want to blend with your initial data.

‍Optional step: Define your date settings. Some data sources require a date setting.

Step 2: Choose the blending method

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There are several ways to combine data, each with its own specificities. Adriel proposes 2 ways of blending data:

• Left Join: This enriches your primary data source with additional information from a secondary source. You will see all your primary data enriched with secondary data when there is a matching

• ‍Full Join: This also combines your primary data source with all the data from a secondary source even the ones not matching the primary data. You get a complete view of all information from both sources, whether there is a match or not.

Step 3: Set up your breakdown mapping

This step is crucial in the data blending process. It allows you to input your breakdown mapping conditions, setting up the rules to blend data rows between your primary and secondary data sources.

Step 4: Set up your metric mapping

This step is also crucial in the data blending process. It allows you to input your metric mapping conditions, setting up the rules to blend data metrics between your primary and secondary data sources.

Step 5: It’s done! You can now use your blended data within all your widgets

If you have any questions or require any assistance during the process you can also contact your CSM.

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