What are Data Management Platforms (DMP)?

For companies that collect large amounts of data regarding the impact of marketing and advertising campaigns, data management and analysis is key. Data management platforms (DMPs) help companies store and analyze data that can come from multiple sources. Since advertising and marketing campaigns, as well as customer and audience sentiment and reactions, are ever-changing, DMPs are crucial to companies for quick and easy analysis. DMPs are used for customer insight development, targeted media buying, CRM software optimization, and marketing content optimization, just to name a few. Due to the breadth of DMP functionality, businesses across industries must make sure to align their goals with what a DMP can offer. Specific companies have different reasons for managing data, and must make sure their DMP organizes, analyzes, and presents customer data in an effective way. Depending on a company’s particular industry, the type of data gathered and the way it is used will vary. As you consider adopting this technology, be aware of what data you need to gather and access, as well as what works well for your particular industry. Key Benefits of DMPs Improve audience data collection, organization, and utilization More effectively market and prospect potential customers Customize content gathered from a CRM or other data sources Improve channel and campaign flexibility Generate unique audience insights

Why Use DMP Software?

Cross-referencing first- and third-party data can lead to extremely positive results for marketers. Examining both types of data provides opportunity to hyper-target and hyper-personalize marketing toward customers, helping deliver the right message at the right time. That being said, it’s important to note that DMPs integrate first- and third-party data differently from one another. Integration of data is such a priority for businesses because it helps create rich, well-rounded customer profiles, allowing marketers to create more thoughtful, targeted messages. When shopping around for a customer data platform, understand how data can be input and exacted from the platform. Benefits that users said they received from implementing and using DMPs include a unified data hub and a higher accuracy in audience targeting and segmentation. Data hub — DMPs are, by definition, centralized storage hubs for behavioral data. Many reviews left for the products in this category discuss the effectiveness of those hubs. As your business scales, you are likely to cull marketing data, user data, and audience data from various channels using a diverse stack of software. Just as master data management software is designed to centralize and manage internal operations data, these tools help to manage consumer insights in one convenient place. DMPs will often integrate with CRM platforms so that valuable marketing-based information can be exported as CRM data. More accurate targeting — Segmentation and targeting of customers needs to be accurate, or companies face losing customers. Tracking audience data in response to advertising and marketing campaigns significantly helps retargeting efforts, especially if a company wants to expand their audience. Collecting data from a variety of sources helps businesses create robust customer profiles, enabling them to better understand who they are targeting. Also, when determining the direction of a campaign, a larger data set typically leads to better results, and assists greatly in advertising efforts and placements.

The high-level insights made possible with these tools are especially useful for certain departments within an organization. The following are the ideal users of this technology. Marketers — For a digital marketing team involved with programmatic ad buying and campaign development, there is no limit to the amount of consumer insights that are worth collecting. Marketers can leverage the audience data within these platforms to make educated choices in the messaging, timing, and placement of advertisements on digital channels. From content marketing to location-based mobile ads, each decision needs to be carefully thought out, due to the resources and effort involved. Having this far-reaching consumer data in one convenient location is a boon for marketers seeking to make the most of every campaign. Sales — There is a plethora of sales software designed to give these teams a leg up on the competition and perform at the highest level. Data management platforms can complement these solutions by giving sales teams a deeper understanding of target customers and the channels they frequent. While marketing teams leverage this centralized data for digital advertising campaigns, sales leaders can use it to refine outreach tactics and assemble the best possible list of leads. The sales and marketing departments should work in tandem to ensure that messaging is aligned and the needs of customers met. Sharing the insights that are gathered on DMPs can go a long way in unifying these efforts. Product — A product strategy should never stop evolving. When a product team has a firm grasp on brand reputation, customer behaviors, and audience demographics, they can deliver the right offerings at the optimal time, and shape these products and services around the consumers who stand to benefit. This also goes for executive teams and others involved with plotting the direction of a brand’s offerings or marketing. Having easy access to audience data from a wide array of sources helps decision-makers keep a finger on the pulse of their most valuable assets: the consumers.

Page 4 | Best Data Management Platforms (DMP): User Reviews from September 2026

Kensu

Our low latency data observability solution alerts about data issues, prevents their propagation, and highlights which applications are impacted. To foster a data-driven culture, automation of data observability at scale is essential. The best way to achieve this is through what is called Data Observability Driven Development [DODD] which implies observable information is produced by the applications. The method is a paradigm shift that allows data teams and data usage to scale efficiently. DODD is done from within the applications to enable data projects with synchronized observability, continuous validation, and contextual observability.

Average Rating: 4.3/5.0

Total Reviews: 10

How Do G2 Users Rate Kensu?

Ease of Admin: 7.7/10 (Category avg: 8.4/10)
Internationalization: 8.3/10 (Category avg: 8.4/10)
Performance and Reliability: 8.3/10 (Category avg: 8.8/10)
What is your organization's estimated ROI on the product (payback period in months)?: 3.3/10 (Category avg: 10/10)

Who Is the Company Behind Kensu?

Seller: Kensu
Year Founded: 2018
HQ Location: San Francisco Bay Area, US
Twitter: @kensuio
253 Twitter followers
LinkedIn® Page: www.linkedin.com
9 employees on LinkedIn®

Who Uses This Product?

Company Size: 50% Medium, 40% Small

What Are Recent G2 Reviews of Kensu?

"For safer database, use Kensu."

Rating: 4.5/5.0 stars

— Sheina G.

Best Data Management Platforms (DMP) - Page 4

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