privacy risks
Best Practices

The Hidden Privacy Risks in Your Sales and Marketing Stack

The reality is that sales and marketing stacks process vast amounts of personal data—names, emails, phone numbers, behavioral tracking, and even sensitive financial or demographic details. Without rigorous privacy testing and monitoring, organizations can unknowingly expose customer data to security vulnerabilities, compliance violations, and reputational harm.

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preference center
Marketing Operations

The Marketing Ops Checklist for a Flawless Preference Center

The humble preference center plays a pivotal role in today’s data-driven marketing world. It’s the gateway to personalizing customer experiences, meeting regulatory requirements, and building trust. Yet, too often, preference centers are overlooked—a set-it-and-forget-it feature that only gets attention when something goes wrong. For marketing operations teams, this is a missed opportunity. A flawlessly executed preference center doesn’t just keep

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MOps-Apalooza
Events

5 Key Takeaways for Marketing Ops Professionals from MOps-Apalooza 2024

MOps-Apalooza 2024 proved yet again why it’s the must-attend event for marketing and revenue operations professionals. Held at the Anaheim Marriott, this year’s gathering buzzed with ideas, collaboration, and a shared commitment to elevating marketing operations to its rightful place as a strategic leader on the revenue team. The central theme? Marketing operations is no longer just about process execution

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Poor data quality
Marketing Operations

How Poor Data Quality Undermines Your MarTech Stack—and Your Bottom Line

In today’s business environment, companies invest heavily in MarTech stacks—billions are spent annually to enhance customer engagement, optimize campaigns, and drive revenue growth. Yet, there’s a key factor that often gets overlooked: data quality. In fact, poor data quality costs businesses an average of $12.9 million annually​. No matter how advanced your marketing technology, its performance will be compromised without

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