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.

27 businesses

Nominow

Amsterdam, Netherlands

Nominow helps brands easily bridge data silos and low-quality data to create experiences that drive customer intimacy at scale…

5.0 1 reviews

UniFida

London, England, United Kingdom

Welcome to unifida, where we specialise in transforming your marketing strategies with cutting-edge data science and pioneering…

5.0 4 reviews

CustomerLabs CDP

Willington New Castle, Delaware, United States

Customerlabs helps performance marketers transform the way they run ecommerce and lead generation campaigns through signal…

4.9 8 reviews

Hive Marketing Cloud

Bristol, England, United Kingdom

Taking people on journeys they love. Hive marketing cloud helps marketers in medium sized businesses to accelerate marketing…

4.9 4 reviews

Lexer

Melbourne, Victoria, Australia

Stop guessing. Start growing. Fragmented data leads to fragmented customer experiences. Lexer is the customer data platform that…

4.9 21 reviews

journy.io

Warszawa Mazowsze, Mazovia, Poland

Journy.io empowers SaaS companies to identify signups that are most likely to buy, to expand, or the churn; and let them engage…

4.7 5 reviews

Hull

Atlanta, Georgia, United States

Hull was acquired by bird on March 30th, 2021

4.6 41 reviews

Optimove

New York, New York, United States

Optimove, the creator of positionless marketing, frees marketing teams from the limitations of fixed roles, giving every marketer…

4.6 97 reviews

Velocidi

New York, New York, United States

Velocidi is a first-party audience solution for e-commerce marketers. Brands and their agencies use our product to automatically…

4.5 1 reviews

Amperity

Seattle, Washington, United States

Amperity is the AI-powered customer data cloud that helps brands act on real-time customer context. By connecting data…

4.4 13 reviews

BlueConic

Boston, Massachusetts, United States

Blueconic is the leading customer growth engine, helping brands unlock the full value of their customer data. By combining…

4.4 6 reviews

FirstHive

Sunnyvale, California, United States

Firsthive is an intelligent customer data platform that builds unique customer identities by ingesting data from all sources of…

4.4 13 reviews

Jebbit

Boston, Massachusetts, United States

Blueconic is the leading customer growth engine, helping brands unlock the full value of their customer data. By combining…

4.4 6 reviews

Lemnisk

Bengaluru, Karnataka, India

Lemnisk’s composable cdp provides the data and AI platform for real-time marketing activation, while keeping your data where you…

4.4 4 reviews

mParticle

New York, New York, United States

Mparticle, an end-to-end customer data platform (cdp), turns customer data into customer joy by seamlessly orchestrating the…

4.4 18 reviews

Blueshift

San Francisco, California, United States

Blueshift, headquartered in San Francisco, enables brands to automate and personalize engagement across every marketing channel…

4.3 215 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
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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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