Algonomy helps consumer businesses maximize customer value by automating decisioning across key retail functions. Our AI-enabled…
5.0
1 reviews
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.
Sync customer data from data warehouses to business tools like Salesforce, HubSpot or intercom - everything with #nocode
5.0
3 reviews
Mortar is the AI operating system designed for marketers who expect more - more performance, clarity, and control. Born from…
5.0
1 reviews
Easy. Powerful. Personalization. Nectarom is an omnichannel personalization SaaS company. We work with fortune 500 retailers…
5.0
Nominow helps brands easily bridge data silos and low-quality data to create experiences that drive customer intimacy at scale…
5.0
1 reviews
Is bad customer data keeping you from AI and cx success? At redpoint, we tackle one of the most persistent challenges in customer…
5.0
1 reviews
Welcome to unifida, where we specialise in transforming your marketing strategies with cutting-edge data science and pioneering…
5.0
4 reviews
Customerlabs helps performance marketers transform the way they run ecommerce and lead generation campaigns through signal…
4.9
8 reviews
Taking people on journeys they love. Hive marketing cloud helps marketers in medium sized businesses to accelerate marketing…
4.9
4 reviews
Stop guessing. Start growing. Fragmented data leads to fragmented customer experiences. Lexer is the customer data platform that…
4.9
21 reviews
A Salesforce marketing cloud solution for marketers. Drag-and-drop segmentation, lead scoring and web tracking in sfmc. Start now!
4.8
3 reviews
Healthcare marketing has changed. The expectations are higher, budgets are tighter, and the platforms marketers rely on are less…
4.8
2 reviews
Ngdata is a global digital experience company that partners with businesses to harness the power of data to drive…
4.8
6 reviews
Ometria is the first and only customer data experience platform (cdxp) built for retail brands. We're proud to help brands create…
4.8
21 reviews
Cooladata is a cloud-based, end-to-end, fully-managed data warehouse optimized for behavioral analysis, designed for companies…
4.7
3 reviews
Iwinback helps marketers "win back" the power to understand and communicate with their customers through automation, channel…
4.7
3 reviews
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
Xeno is an AI-powered customer engagement platform Purpose-built for retailers enabling them to maximise repeat Revenue with 10x…
4.7
32 reviews
Hightouch makes it easy to collect, prepare, and sync your data into any ad platform, CRM, email tool and more. No engineering…
4.6
206 reviews
Hull was acquired by bird on March 30th, 2021
4.6
41 reviews
Optimove, the creator of positionless marketing, frees marketing teams from the limitations of fixed roles, giving every marketer…
4.6
97 reviews
Capture, analyze and act on all of your customer data across every channel and every department. For all of your brands, all…
4.5
80 reviews
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 is the AI-powered customer data cloud that helps brands act on real-time customer context. By connecting data…
4.4
13 reviews
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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.