Privacy for Eloqua, Using AI in MOPs – Eloqua Office Hours
Insights into privacy compliance based on questions from other Eloqua users. We’ll also discuss leveraging GenAI in Marketing Operations (MOPs).
Software for maximizing your marketing while ensuring privacy compliance
Innovative solutions to do more with Marketing Automation platforms
Visual Segmentation for Marketers
Integration solutions for Eloqua, Marketo, CRM, and other systems
Align corporate and marketing goals
Data capture strategy
Lead scoring, nurturing, segmentation strategy, and funnel framework
Measure results and plan improvements
Ensure compliance with privacy laws
Email, form, landing page, campaign creation, A/B testing, and monthly reporting
Eloqua and Marketo specialists
Improve skills and increase productivity with custom online training and videos
Uncover opportunities to improve performance and outcomes
Enhance email impact through expert analysis
SmartStart, onboarding, and success planning
Data imports, cleansing, deduplication,
company matching, and data stewardship
System integration options using connectors and custom APIs
Custom cloud apps, HTML templates,
JavaScript, and responsive email
Insights into privacy compliance based on questions from other Eloqua users. We’ll also discuss leveraging GenAI in Marketing Operations (MOPs).
Oracle Eloqua tips and tricks and best practices. This month’s topics ranged from attribution to streamlining repetitive processes, unusual open rates due to spam and link checkers, and data privacy.
Personalized marketing materials still work wonders, but how can your company collect enough data for personalization without violating privacy laws? What’s the balance between respecting user privacy and effectively using data? Let’s explore these questions further.
AI in marketing comes with inherent risks still being uncovered. Companies that choose to take advantage of AI need to understand the impact it can truly have, both now and as the technology continues to evolve. One excellent way to start is an AI audit.
Privacy by design incorporates data privacy into your marketing automation strategies from the very beginning. But if your framework is already in place, do you implement privacy measures within existing systems and plans? Here’s what six industry experts suggest.
Marketers are accustomed to handling and manipulating large amounts of vital data. But in the day-to-day process, it can be easy to forget that this data and integrations need regular check-ups. This, simply put, is the role of a data steward.
Data quality is central to marketing’s ability to create targeted campaigns and personalized experiences. New privacy laws align well with marketing data collection practices. Let’s examine the relationship between marketing, data quality, and privacy.
Since customers no longer want to hand out large amounts of personal information (and you may not be allowed to ask in the first place), how can you continue using CTAs effectively when you don’t have explicit consent? One answer comes from a concept cemented in the GDPR: legitimate interest.
Data segmentation, the process of grouping customers based on interests and past activities, allows marketers to develop more targeted promotional materials. However, data segmentation is also useful for data privacy. Let’s take a look at how that works.
Customers aren’t always willing to provide personal data, especially if there seems to be no good reason for them to share it. This kind of consumer behavior prompted marketers to adopt a new habit: data minimization.
Humans love to collect things. But in the corporate world, the most prevalent kind of collecting—data hoarding—is far from innocent and can leave your company vulnerable to data breaches, fines, or worse.
As marketers, we understand it’s crucial to balance utilizing available data and respecting privacy. Today, we’ll look at consumer privacy’s importance and several actionable marketing strategies for handling sensitive data.