Optimization and personalization
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Improve your chances of success in adopting a MACH-based DXP. Here are key considerations when assessing potential vendors.
Only 19% of those surveyed felt strongly that they had the right technology to execute on personalization efforts.
DXPs help marketers to deliver coherent, customized and compelling user experiences to more devices and platforms than ever before.
While DAM platforms can help marketers deliver consistent experiences, there are questions of process, training and budget to answer before beginning the buying process.
Having an effective first-party data strategy means you can balance two sets of customer needs — personalization and privacy.
You want to learn how easy a platform is to use and whether the vendor seems to understand your business and your marketing needs.
While “one-to-one” and “omnichannel” are the goals, you can start incrementally and work your way toward them.
Looking at the methods used to personalize, how efficiently they are performed and how they are improved over time is part of measuring ROI.
Track the ROI of personalized content by looking at individual and incremental performance and using a multi-touch attribution model.
While DXPs promise holistic, cross-platform seamlessness, organizations must be prepared to invest long-term before implementation.
Learn ways to measure the returns of personalization by audience performance and why creating a first-party data strategy matters.
Programmatic advertising is the inexpensive way to target an audience and get actionable, real-time performance insights.
Marketers can create and share segments with CDP, enhance them with additional account attributes and activate engagement across channels
Xanterra is using a customer "Golden Record" to deliver on its promise of personalized customer experiences.
Movable Ink's new Da Vinci AI offering is aimed at serving lifetime customer value rather than immediate revenue maximization.
Crossing Minds' algorithms leverage user behavior to surface personalized product recommendations.