The Next Frontier For CIOs: Finding More Meaning in the Existing Marketing Data

Top 10 Customer Data Platform Solution Companies - 2021

Today, digitally savvy marketing organizations not only have 360-degree view of their customers but also actively engage with customers across the channels of their choice. Customer Data Platforms lay a strong foundation for this. From the look of it, CDPs are becoming a standard part of everyone's corporate IT architecture, so we must prepare for this new reality, and we cannot fully prepare without understanding the associated problems with this developing technology.

While a number of point solutions have adopted the name CDP and claim to solve the use cases CDPs are supposed to solve, the reality is that separate point solutions struggle to actually deal with the complex, nuanced technological challenges associated with unifying data and activating it across channels. But it’s clear the challenge is real. The CDP use cases must be addressed, and marketing and IT teams need a solution. Existing point CDPs may not be the solution these teams need for a number of reasons. For one thing, there’s a lot of confusion about what a CDP is and what exactly it should do. But beyond that, analyst firms are wary about whether CDPs in their most basic form can take businesses all the way to the customer experience finish line.

Above all, CDP success depends on learning to build successful customer experiences. Today’s consumers demand a delicate balance of personalization, convenience, efficiency, control, and privacy. The unified, complete, accessible data provided by CDP makes it easier to deliver this balance, but it’s still up to marketers and others throughout the organization to design the right experiences and execute them effectively. Marketers who focus on delivering great experiences will find they naturally develop into effective CDP users. Marketers who don’t focus on customer experience will find that even the most skillful CDP use creates little long-term value.

Still, companies need to solve the problems of disparate data and disconnected journeys. Adobe’s real-time CDP offering provides an integrated, robust solution that builds on your existing technology. This allows you to focus your attention on your customers instead of complicated integrations or costly workarounds. Just because point CDPs have failed to live up to their hype doesn’t mean you can’t solve the problem they were meant to address.

We present to you, “Top 10 Customer Data Platform Solution Providers - 2021.”

Top Customer Data Platform Solution Companies

Actable is an accelerator for marketing technologies that handle first-party customer data like customer data platforms, multi-channel marketing tools, and more. At the core, Actable is singularly focused on one aspect: make customer data work better. In doing so, the team empowers clients with its rich expertise and solutions to analyze, enhance, orchestrate and activate customer data through their owned and licensed data and technology stack to maximize marketing impact. The company’s solutions are underpinned by three essential components: consulting, delivery, and data science practices

www.actabledata.com

Built by analysts who understand the type of customer insights that a specific client data could yield and how to get them, Ambition Data’s approach is tailored to each business such that the data flows correctly and easily. Ambition Data has built the Rubano platform, which includes customizable CLV formulas and breakpoints, algorithms that measure customer cadence and track who is on/off cadence, and measures of velocity based on geography and product. All this is designed to help a company see where the customer base is lagging before it’s too late

www.ambitiondata.com

BlueConic, the leading pure-play customer data platform, liberates companies’ first-party data from disparate systems and makes it accessible wherever and whenever it is required to transform customer relationships and drive business growth. Over 300 companies worldwide, including Hearst Newspapers, Heineken, ING, T-Mobile, and VF Corp, use BlueConic to unify data into persistent, individual-profiles, and then activate it across customer touchpoints and systems in support of a wide range of growth-focused initiatives, including customer lifecycle orchestration, modeling and analytics, digital products and experiences, audience-based monetization, and more

www.blueconic.com

QuickPivot's self-service platform enables marketers to ingest data from existing marketing and sales channels and normalize, standardize, clean, and match it to analyze it further to understand their customer base and accordingly personalize relevant cross-channel messages. The company has made this possible by building out-of-the-box connectors to hundreds of systems which make it easy to pull data from new and already identified sources

quickpivot.com

Adobe

Adobe

Adobe is the global leader in digital media and digital marketing solutions. The firm’s creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. With Adobe Experience Cloud they can harness their data and deliver personalized experiences that drive business growth and customer loyalty

Amperity

Amperity

Amperity, the leading Customer Data and Identity Platform, helps the world’s most loved brands take control of their customer data. Leveraging machine learning and cloud-scale, Amperity is revolutionizing customer identity resolution and data management, and provides the core customer data foundation. Amperity helps brands get to know their customers, make strategic decisions, and consistently take the right course of action to better serve their consumers and continue growing their businesses

Leadspace

Leadspace

Leadspace helps companies take back control of their marketing and sales data with their leading intelligent B2B Customer Data Platform. The firm helps customers get healthy, with the most robust and open B2B data engine in the industry. They help them get smart, applying a deep and unique understanding of B2B personas for more effective scoring, targeting, and insights. Then, help them get busy, by activating that enhanced intelligence in real-time across sales and marketing systems

LiveRamp

LiveRamp

LiveRamp enables companies and their partners to better connect, control, and activate data to transform customer experiences and generate more valuable business outcomes. LiveRamp’s fully interoperable and neutral infrastructure delivers end-to-end addressability for the world’s top brands, agencies, and publishers. Headquartered in the technology hub of San Francisco, LiveRamp delivers privacy-conscious solutions that honour the best practices of leading associations, including the Digital Advertising Alliance’s (DAA’s) ICON and AppChoices programs, the Interactive Advertising Bureau (IAB), the Data & Marketing Association (DMA), and the Advertising Research Foundation (ARF)

Lytics

Lytics

Lytics customer data platform enables marketers to build personalized digital experiences and 1-to-1 marketing campaigns by focusing on behavioral data and combining it with their advanced data science and machine learning decision engine. In a world where brands need to compete with Amazon, Netflix, and Spotify, Lytics help them thrive. At the core of Lytics’ mission is a commitment to the recruitment of outstanding individuals from diverse backgrounds, each bringing their own unique and impactful perspective

Treasure Data

Treasure Data

Treasure Data helps over 400 customers—including some of the world’s most recognizable brands—generate new data opportunities. Treasure Data’s sophisticated cloud-based customer data platform empowers companies to responsibly collect and understand massive amounts of data, transform their businesses and create new customer experiences. Global leader in Customer Data Platforms (CDP) and enterprise data management. Providing the ability to aggregate and translate massive volumes of scattered and siloed data