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A Marketo Database Cleanup That Increased Lead Engagement by 45% for a Marketing-Driven Organization

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Manual Work Reduced

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Engagement Boost

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Faster Follow-Ups

Client Overview

A marketing-driven organization faced challenges with their cluttered Marketo database, leading to inefficient marketing investments and reduced ROI.

Challenges

1

Fragmented workspaces and person partitions.

2

Inconsistent data caused by a lack of governance.

3

Ineffective operational campaigns affecting data accuracy.

Objectives

1

Conduct a comprehensive database audit.

2

Implement a structured cleanup and data management framework.

3

Establish ongoing monitoring for sustained database health.

Solution Implementation

Step 1: Understanding the Database Challenges

We documented the existing setup and identified gaps in data governance, partition rules, and operational campaigns.

Step 2: Auditing the Marketo Database

We conducted a detailed audit to uncover and address inconsistencies.

1

Workspace and Partition Assessment:

Evaluated alignment between business units and configurations.

2

Documenting Partition Rules:

Recommended smart campaigns for partition assignments and ensured default workspace access.

3

Smart List Analysis:

Created custom smart lists for critical field completeness, duplicate records, and inactive leads.

4

API and CRM Sync Investigation:

Resolved mismatches causing CRM sync errors.

Step 3: Creating a Cleanup and Data Management Framework

We implemented structured campaigns and governance processes.

1

Data Normalization Campaigns:

Standardized field values for countries, job titles, and industries.

2

Database Cleanup Campaigns:

Targeted invalid, duplicate, and inactive records. Conducted reactivation campaigns before purging non-marketable leads.

3

Centralized Governance:

Established governance processes and created a data dictionary.

Step 4: Setting Up Monitoring and Reporting

We developed a robust monitoring and reporting system

1

Smart Lists:

Monitored demographic field completeness and lead activity.

2

Automated Reports:

Configured lead performance reports and scheduled periodic reports.

3

Periodic Reviews:

Established a 30-day review cycle for cleanup and monitoring campaigns.

Results Delivered

1

Improved Database Health:

Reduced invalid and inactive records by 65%.

2

Enhanced Data Accuracy:

Centralized processes ensured consistent data across partitions.

3

Boosted ROI:

Better data quality improved targeting and personalization, increasing lead engagement by 45%.

4

Sustained Maintenance:

Ongoing monitoring reduced future cleanup efforts, saving time and resources.

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