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First things first. 

The previous step before carrying out any execution is to conduct a thorough market research to understand what the competition is doing in order to detect best practices and bring them to the execution to pave the way for success.

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¿What does  data cleaning service include?

The Digital Transformation process forces us to ensure the quality of the data, to consequently be able to rely on data-driven decision making.

Data cleansing in Email Marketing or data cleansing will help us to correct or eliminate duplicate data, detect spam traps, inactive or hyperactive users, incorrect or incomplete within a data set. 

Importance of email verification to improve deliverability:

  • Keeps data clean and available.
  • Ensures IP and domain reputation are healthy.
  • Increased deliverability.
  • Improves sender score and sender quality.
  • Helps in-boxing and consequently increase ROI.

0.1

Data Analysis

The first phase is to perform a data audit in order to analyze the data and identify spamtraps, bounced, invalid or other unwanted emails.

0.2

Mapping rules

Next, the workflow defines the detection of anomalies detected in the previous phase. It is specified after data analysis to obtain information about existing anomalies.

0.4

Verification

In this phase, the correctness and effectiveness of the transformation workflow is evaluated. This phase consists of multiple iterations to verify that all errors are being corrected correctly.

0.4

Backflow of Data Cleaned

Once the data is verified and validated, transformation steps will be executed to update the data in the data warehouse.
Finally, after all errors have been removed, the erroneous data must be replaced with the cleaned data.

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