Nominow helps brands easily bridge data silos and low-quality data to create experiences that drive customer intimacy at scale…
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.
25 businesses
Is bad customer data keeping you from AI and cx success? At redpoint, we tackle one of the most persistent challenges in customer…
Customerlabs helps performance marketers transform the way they run ecommerce and lead generation campaigns through signal…
Stop guessing. Start growing. Fragmented data leads to fragmented customer experiences. Lexer is the customer data platform that…
Ngdata is a global digital experience company that partners with businesses to harness the power of data to drive…
Iwinback helps marketers "win back" the power to understand and communicate with their customers through automation, channel…
Optimove, the creator of positionless marketing, frees marketing teams from the limitations of fixed roles, giving every marketer…
Blueconic is the leading customer growth engine, helping brands unlock the full value of their customer data. By combining…
Firsthive is an intelligent customer data platform that builds unique customer identities by ingesting data from all sources of…
Blueconic is the leading customer growth engine, helping brands unlock the full value of their customer data. By combining…
Lemnisk’s composable cdp provides the data and AI platform for real-time marketing activation, while keeping your data where you…
Tealium helps companies collect, govern, and enrich their customer data in real-time to power AI initiatives and delight…
Founded in 2006, eulerian is a french marketing analytics platform that helps marketing teams accurately measure the true ROI of…
Contentstack’s data & insights (cdp) enables marketers to unify customer data, generate actionable insights, and orchestrate…
With the mission of transforming everyday businesses, antsomi is a marketing technology company building the first artificial…
At bamboobox, we deliver intelligent ABM as a fully managed, tech-powered service. What sets us apart is our ability to implement…
Bridg, a division of cardlytics, inc., is a different type of identity resolution platform that converts transactions into…
Your users marketing & sales data in one place.
How should your business react to the new era of digital marketing? Here, we share with you the power and magic of the latest…
Exacaster accelerates returns on data, AI, and customer value management (cvm). Founded in 2011, we began by building predictive…
At flyde, we believe that managing customer data shouldn’t be complicated. That’s why our customer data platform (cdp) combines…
At gravito, we are experts in consent management, making it effortless for our clients to comply with regulations and stay…
Onecount is a customer data platform coupled with a robust marketing tech stack (mts). The highly integrated platform is ideal…
Scal-e is an end-to-end agile platform that collects valuable data on how customers interact with a brand. Doing so, we cleanse…
Showing 24 of 25 — 1 more to see.
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.