Technology

Best 8 Data Management Platforms (DMPs) for Business

There are multiple robust stand-alone DMPs to select from, and also numerous marketing clouds that provide powerful DMPs as part of the suite. This alphabetically organized list involves the most common DMPs from both types, and later you will also see some notable mentions and specialist DMPs that concentrates on certain areas.

Adobe Audience Manager

Adobe Audience Manager is located within the Adobe Experience Cloud and provides to support marketers connect their consumer data ingested from different diverse sources with brand experiences across numerous touchpoints — both online and offline. Marketers can realize their most valuable audiences, and then distribute targeted advertisements with a greater opportunity of conversion, thanks to Adobe Sensei, their AI and machine learning framework, which supports estimate audience-segment gain with higher confidence. A impression of the platform is that it is able to combine data to a persistent ID, for ongoing audience segmentation that keeps relevant and current. (almost doing what a CDP does to create more powerful first-party customer profiles). Thanks to its progressive analytics ability and of course its integration with Adobe experience cloud, its mostly business customers can tie in audience management to the larger marketing stack.

Dataxu OneView

Dataxu OneView: identity & data management platform permits agencies and marketers to realize individuals and construct a more complete picture of their behavior across devices by layering on data about the consumer’s behaviors and interests to create a 360-degree view. It also matches first-party data with third-party data sources to create out a more appropriate understanding of customers and prospects. On the measurement end, OneView can map even the most sophisticated omni-channel, multi-touch consumer journeys to arrive at right attribution.

Google Audience 360

Google Audience 360 supports brands create and execute a cross-channel media plan in a single tool. Display & Video 360 includes the end-to-end campaign management functions you need, like innovative workspaces and automated bidding, to distribute quicker insights, enhanced collaboration, and better outcomes. It incorporates with Analytics 360 to gain specific audiences with greater precision, and advertisers can also find the performance of Display & Video 360 campaigns in Analytics 360 for a more complete view of outcomes. Being Google, media inventory from Google Preferred, YouTube Reserve and TrueView are all offered to purchase in Display & Video 360 itself, as well as the capability to bid on or prevent impressions from lots of third-party changes. Within the Google universe, this tool permits marketers to apply progressive insights and automation to reach viewing audiences more successfully.

Lotame

Lotame provides what it calls an ‘unstacked DMP’ which can gather data, create audiences, distribute campaign analysis, and offer scale audience suites with one of the most comprehensive data marketplaces in the space. However, it is an independent DMP, and not section of a larger marketing cloud. Among its best abilities are its dynamic and hierarchical segment building which allows a greater flexibility in responding to market signals, predictive analytics, and second- and third-party data availability. It is heavily concentrates on DMPs core use-cases but is also operating on its identity resolution and security standards. Moreover, it also provides publishers a good platform to monetize first-party data and is deeply concentrated on supporting publishers, marketers and agencies look for new customers, raise engagement, and develop revenue through audience data.

Neustar IDMP

Neustar IDMP or identity-DMP states to comprehensively ingest data about audience behavior, media events, and consumer engagement across the marketing ecosystem (online and offline) with their OneID system. Marketers can motivate personalized experiences across all touchpoints and strive to distribute contextual experiences by normalizing across first, second, and third-party data. Neustar is created around a flexible data science environment to adapt audience segmentation, resource allocation, media spend, and attribution, and empowers marketers to know accurately how marketing is impacting sales and conversions with progressive analytics and measurement abilities. With connection to more than 200 data sources, involving caller ID, wireless, and directory assistance data and is therefore able to provide high-quality person household,  and device-level identity resolution and customer data onboarding abilities.

Nielsen DMP

Nielsen’s traditional advantages in media planning are further expended with their DMP which offers a single view of customer data across all offline, online and mobile channels. It allows marketers to connect their first-party data as well as Nielsen’s own rich set of audience data to support grow detailed insights across thousands of consumer attributes. With more than 60,000 built-in segments to support adjust key audiences depended on a marketer’s exact filters, and the capability to automate audience model creation with Nielsen Artificial Intelligence (Nielsen AI), the platform supports marketers stay real-time, flexible and at scale to activate data across hundreds of incorporated search, email, social, website and content personalization platforms.

Media Math Terminal One DMP

Media Math Terminal One DMP supports marketers segment, onboard, understand and activate their audiences in omni-channel environments and in real time. Users can combine audience data suites from first- and third-party data sources, target audience interactions in and across devices, discover log-level audience data with strong and intuitive data mining tools, and adapt their segments in real time to combine the speed of online customer interactions. The DMP is especially common among large agencies handling some of the biggest brands in the world, contributing higher ROI on media spends.

Oracle DMP

Oracle acquired BlueKai and made it a section of its Data Cloud, calling itself a ‘big data platform that allows marketing organizations to personalize online, offline, and mobile marketing strategies with richer and more-actionable data about targeted audiences’. With connection to a big third-party data consortium, Oracle’s represents functions is its capability to scale data to extend audience segments, and also deepen segments with curated vertical-specific audience creation. Nevertheless, the effect of privacy regulations on this big third-party data ecosystem and globally tightening data protection, and Oracle’s steps to safeguard marketer interests in this regard are still displays out. Acknowledging the explosive development in connected devices that has built immense chances for marketers to match with consumers at the moments that truly matter, Oracle provides robust cross-device audience management and permits both – audience segmentation and optimized media buys by device.

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