Category

Customer Data Platforms (CDP)

For companies whose customer data is scattered across systems and teams, a guide to the platforms that unify it into one usable profile for marketing and service.

60 businesses

Buxton

Fort Worth, Texas, United States

Buxton is changing the way organizations compete and grow by providing tools and insights that put customers at the center of…

4.1 4 reviews

Decide AI

Levallois-Perret

Decide AI helps B2B groups to improve the commercial perfomance of their online prospection. Even in the B2B sector, 60% of the…

4.0 1 reviews

Eulerian

Paris, Île-De-France, France

Founded in 2006, eulerian is a french marketing analytics platform that helps marketing teams accurately measure the true ROI of…

4.0 1 reviews

Hariken

Curitiba, Brazil

Na plataforma da hariken você pode utilizar a inteligência de seus dados para criar segmentos únicos e otimizar seus…

4.0 1 reviews

LeadBoxer

Amsterdam, Noord-Holland, Netherlands

Leadboxer is a lead data platform for lead identification, lead qualification and lead management. Leadboxer is designed to bring…

4.0 2 reviews Usage-based

Meiro

Singapore, Singapore

Meiro is customer data infrastructure that deploys wherever your data needs to live - AWS, Azure, gcp, or on-premise in any…

4.0 2 reviews

Lytics

Austin, Texas, United States

Contentstack’s data & insights (cdp) enables marketers to unify customer data, generate actionable insights, and orchestrate…

3.9 66 reviews

insightXM

Portland, Oregon, United States

Insightxm is a business intelligence platform that provides teams with on-demand data science solutions. We deliver powerful…

3.8 4 reviews

Aislelabs Customer Hub

Toronto, Ontario, Canada

At aislelabs, we believe that data in the built environment has untapped potential. That building systems, like wifi, aren’t just…

3.5 1 reviews

Ascent360

Lakewood, Colorado, United States

Ascent360 is the proven, AI-first customer data platform built for hospitality. By unifying data across pms, f&b, spa, golf…

3.3 2 reviews

AnalyticsIQ

Atlanta, Georgia, United States

Analyticsiq is now part of alliant! 🎉 Want the latest on our data, product updates, and industry insights? Follow alliant to…

Unrated

Antsomi CDP 365

Singapore, Singapore

With the mission of transforming everyday businesses, antsomi is a marketing technology company building the first artificial…

Unrated

Applicata

Giugliano In Campania, Campania

Applicata provides a flexible daas (data as a service) platform that integrates legacy sources, models fragmented enterprise data…

Unrated

BambooBox

Wilmington, Delaware, United States

At bamboobox, we deliver intelligent ABM as a fully managed, tech-powered service. What sets us apart is our ability to implement…

Unrated

Bridg CDP

Los Angeles, California, United States

Bridg, a division of cardlytics, inc., is a different type of identity resolution platform that converts transactions into…

Unrated

BSI CDP

Baden, Kanton Aargau, Switzerland

The swiss software company bsi software designs, develops, and sells market-leading European CRM and cx software that is not only…

Unrated

Castled Data

San Francisco, California, United States

Castled.io is a customer engagement platform (cep) that brings the power of data in the warehouse to the marketer. Essentially…

Unrated

CDP & CRM CareCloud

Praha 9, Czech Republic

Cdp & CRM carecloud, the future of customer data and relationships management in retail, pharma, entertainment, and hospitality.

Unrated

ConvertLab

Shanghai, China

How should your business react to the new era of digital marketing? Here, we share with you the power and magic of the latest…

Unrated

Custobar

Espoo, Uusimaa, Finland

Improve customer engagement and boost revenue with custobar, the platform designed to master data from all touchpoints and…

Unrated

Dataforce

Singapore, Singapore

Dataforce - AI powered customer intelligence & competitor intelligence platform Dataforce, an AI-powered customer intelligence &…

Unrated

Exacaster Customer Data Platform

Vilnius, Vilniaus Apskritis, Lithuania

Exacaster accelerates returns on data, AI, and customer value management (cvm). Founded in 2011, we began by building predictive…

Unrated
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These vendors are hired to take customer data that's scattered across a CRM, an ecommerce platform, email tool, app analytics, point-of-sale system and ad accounts, and turn it into one profile per customer that other systems can actually use. The concrete work is identity resolution (matching an anonymous website visitor to an email subscriber to a paying customer), building pipelines that pull data in from those sources continuously, and pushing unified segments back out to the tools that run campaigns — ad platforms, email and SMS senders, personalization engines, call centre software. Once it's working, a marketer can build a segment like 'lapsed high-value customers who opened the last email but didn't click' without filing a ticket with engineering.

People end up looking for this when the customer picture inside their company has fractured. The same person gets emailed as a prospect after they've already bought. Support has no idea what the customer looked at online before they called. Marketing wants to run a win-back campaign but the data needed to define it sits in three databases nobody can join cleanly, so building the list takes weeks and by the time it's ready the moment has passed. Often there's also a compliance angle: consent and preference data living in yet another system, making it hard to prove who opted out of what.

The providers here split roughly into two camps. One group sells a packaged CDP with its own data store, built-in identity resolution, and marketing features layered on top — segmentation, journey building, sometimes predictive scoring for churn or lifetime value. The other group is closer to reverse-ETL: they assume your data already lives in a warehouse and their job is just to sync it out to activation tools, leaving the modelling to you. That split drives most of the real trade-offs: owning your own warehouse gives more control and avoids duplicating data, but means more engineering work; a packaged CDP gets marketers self-sufficient faster but locks more of your customer data inside the vendor. Beyond that, compare them on how identity resolution actually works (deterministic matching on logged-in IDs versus probabilistic matching across devices), whether they're built for high-volume consumer behavioural data or smaller B2B account-based data, how real-time the activation is, and what's genuinely built-in versus what needs a consultant or integration partner to make work.

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