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How to adapt your marketing for the new era of data analytics by Salesforce

Martech

Last year, 83% of marketers described their cross-channel coordination as dynamic as opposed to siloed or duplicated – up from just 68% in 2021. What gets measured, gets done,” said Erika De Haas, vice president of marketing communications at Sobeys. “As

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Leveraging Integration Projects: How to Keep Your CRM Data Clean

SmartBug Media

The good news is that data cleanup is never as bad as it seems, and the benefits far outweigh the temptation to move the integration project or any data analysis task along a little faster by skipping this crucial step. This could mean removing incomplete data, data that is not formatted correctly, or data that is duplicated.

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AWS unveils AWS Entity Resolution

Martech

The AWS Entity Resolution customer uses the AWS Management Console to match and de-duplicate records with a flexible and configurable workflow that takes only minutes to execute. AWS Entity Resolution helps organizations match, link and analyze records stored across multiple applications, channels and data stores.

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Google Analytics vs ActiveDEMAND Agency Reporter

ActiveDEMAND

We really love using Google Analytics for website performance analysis and optimization. Without getting too crazy with your GA setup, you’ll get some duplicate conversions. These duplicate conversions are part of what causes over-reporting conversions , which can be a problem. What Google Analytics is great for.

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27 RevOps best practices for driving revenue growth

Rev

CRM, marketing automation platform or data warehouse) for data tracking and analysis so that all teams can easily access the same key performance indicators and data points. Set revenue targets based on data and analysis, not just gut feelings or guesses. Address any roadblocks that may be hindering progress.

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Ulta Beauty’s “Skincare Routine Quiz”: A Personalized Marketing Case Study

Outgrow

or if they want to take an in-depth skin analysis. Configure Lead Form Configure the lead form by setting its position, adding fields (name, email, phone number), enabling field validations, and configuring lead enrichment and de-duplication settings. This includes understanding issues like large pores, dryness, aging, etc.

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The Minimum Value Data Point as Key Criteria in Your Data Management

LeanData

When conducting data analysis, the minimum viable data point is the threshold level of criteria to be met in order for the data to advance to the next stage – either in your data flow, your analysis, etc. Then, as data matures and meets minimum viable data point requirements, move its next stage in your process or analysis. .