Overview

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CRM data quality directly shapes marketing performance. In this course, you’ll learn how to optimize your CRM to ensure campaigns reach the right audience, workflows trigger correctly, and results can be trusted. Using a real-world B2B marketing scenario, you’ll analyze CRM data health and understand how incomplete, inaccurate, or outdated data impacts campaign outcomes. You’ll identify common data issues such as missing fields, duplicate records, inconsistent values, and stale lifecycle stages, and learn how to diagnose them before they affect performance. You’ll then apply practical data cleaning techniques, including deduplication, standardization, and enrichment, using tools like HubSpot CRM. Through hands-on activities, you’ll practice auditing datasets, prioritizing fixes, and executing structured cleanup workflows. Finally, you’ll design automated CRM workflows to maintain data quality over time. You’ll learn how to build triggers, update properties, and configure re-enrollment logic so your data stays accurate without constant manual effort. This course is designed for CRM administrators, marketing operations professionals, CRM specialists, database managers, and marketers responsible for maintaining customer data and supporting campaign execution. Basic familiarity with marketing campaigns and CRM tools, such as HubSpot, is helpful for understanding the concepts and completing the hands-on activities. By the end of this course, you’ll be able to manage CRM data as a core driver of marketing success by improving targeting, personalization, reporting accuracy, and campaign ROI.

Syllabus

CRM Optimization: Data Health Analysis

Effective marketing campaigns depend on reliable CRM data. This module introduces the three core dimensions of CRM data health: completeness, accuracy, and recency and shows how weak data quality creates workflow failures, broken personalization, unreliable reporting, and poor campaign targeting. By the end of this module, learners will be able to diagnose common CRM data problems, assess their impact on campaign performance, and conduct a structured data health audit in HubSpot.

CRM Optimization: Data Cleaning

Identifying CRM data problems is only valuable if teams can fix them systematically. This module focuses on the core CRM cleaning techniques used in marketing operations: deduplication, standardization, and enrichment. Learners explore how to sequence cleanup activities efficiently, apply bulk updates in HubSpot, and document cleanup decisions to support repeatable processes. By the end of this module, learners will be able to execute a structured CRM cleanup that improves campaign readiness and data reliability.

CRM Optimization: Maintenance Workflows

A one-time cleanup does not prevent future data decay. This module introduces the workflow logic patterns that keep CRM data accurate over time, including property update triggers, lifecycle stage progression rules, duplicate monitoring, and re-enrollment conditions. Learners examine how automated maintenance workflows reduce recurring manual cleanup and sustain long-term campaign readiness. By the end of this module, learners will be able to design CRM maintenance workflows in HubSpot that continuously support data quality and operational efficiency.