The pandemic in 2020 has accelerated the digital transformation across companies and this has boosted the need for CDP. The massive amount of data that got created due to acceleration of digital transformation spurred the need for a unified customer database, by pulling in and aggregating raw data collected from various sources.
At the same time, we have seen active M&A happening in this space. CRM and marketing automation vendors are naturally progressing towards including CDP in their stack and it has led to interesting choices available for business users.
At Cuspera, our research team has picked top 80+ CDP products and our AI engine has curated insights from peers and experts to showcase their unique capabilities. Learn why Customer Data Platforms are important for your business and how to choose the right software.
What is the right solution for you depends on your business context and needs. Let us help you firm up your needs and find you the right-fit solutions. Get your personalized assessment report now!
Read more about how companies in different industries are using Customer Data Platform software to drive results.
Read more about the latest news and updates in Customer Data Platform.
Updated By Cuspera
Last updated: Sep 27, 2024
Relationship Marketing Hub that help marketers drive growth by transforming customer data into actionable insights
Optimove is a Relationship Marketing Software as a service platform that drives measurable growth through targeted campaigns, measurement and optimization. It is suited for enterprises looking to use intelligent communications to understand and impact customer behavior.
It features Micro-segmentation, theme-guided analytics, single customer view, dynamic customer journeys, cross-channel campaign automation, behavior-triggered interaction, test vs control, self-optimizing campaigns and autonomous insight generation.
It allows to gain access to customer data, discover insights and identify customer engagement opportunities. It helps to plan, design and organize cross-channel journey unique to every customer. It helps to measure incremental impact of your campaigns and strategies and predict customer behavior. It provides deep customer insight and bridges gap between data science and marketing with actionable insights for continuous optimization of customer communications.
Optimove empowers our internal teams to quickly execute and measure the things they want to do, to proactively influence customer behavior, to optimize the impact that their efforts are having over time and to easily showcase to management how their efforts are paying off.Emma Rushe
Vice President of Performance Marketing
Sweaty Betty
Vendor: Optimove Inc.
Company Size: 101-250
HQ Location: 217 West 21st St., 2nd Floor, New York, New York 10011, US
Financials: SERIES A
Agentic Experience Platform for Marketing
Treasure Data a Customer Data Platform that brings together various customer data through online, offline, and even from IoT devices – to create individual customer profiles. It helps to increase ROI, sales & revenue.
It is used by the marketers, to reach the customers across devices to offer promotions based on time and context to push the customers to step into a physical store. It helps to understand customer behavior across devices, locations and time.
Treasure Data an enterprise-grade CDP that provides the complete information of the customers. It flexibly and securely ingests IoT data from any connected device or machine, correlates data from multiple data sources and leverage AI/ML-powered insights to act on custom insights and applications.
Our new customer data system built on the Treasure Data platform is fundamentally changing how we communicate with our customers. Blasting emails to everyone who tried samples or bought a particular product won’t lead to customer delight. Detecting a mood swing in each customer and changing the ton...e of push notifications does.
Kenji Yoshimoto
Chief Analyst for Direct Marketing
Shiseido
Vendor: Treasure Data, Inc
HQ Location: 2565 Leghorn St, Mountain View, CA 94043, US
Customer Data Platform that activates data across the entire omnichannel customer journey
Blueshift is a Customer Data Platform including Multi Channel activation. Emails, Mobile Push, SMS, Personalized web experiences, Conversational marketing and Audience Ad targeting are some of the channels used for customer conversion campaigns.
Blueshift provides a complete 360 degree profile of every customer which can be activated whenever needed for making customer conversations or multi-channel campaigns. Blueshift enables Predictive Intelligence through marketer accessible AI, which ensures that the right customer is allocated to the right channel all the time. Customer segmentation is dynamically updated based on the latest customer activity.
Blueshift provides the tools for Multi-channel campaigns that include simplified user interface, quick launch of campaigns with available templates that can be customized and tools for analysing ROI.
Blueshift really puts the customer needs first and they have an incredibly powerful platform, yet easy to use. Blueshift staff is there for you, open for out-of-the box solutions, powerful tool while the platform is nothing I've experienced before. Modern marketing and end-customer needs and expect...ations are being raised every day. Blueshift helps us to be relevant, interesting and personalized to our end-customers.
Fredrik Salzedo
Director of Retention
Discovery, Inc
Vendor: Blueshift Labs, Inc.
Founded: 2014
Company Size: 11-50
HQ Location: San Francisco, CA
Financials: SERIES B
The Single Platform that Unlocks Data Agility
Marklogic Data Hub Platform is a Data Integration platform for Enterprises . It is used in the Financial Services, Healthcare, Insurance and other Manufacturing Industries and Media
It integrates multi-structured enterprise data and curates it for analytical and operational applications.
It is powered by a NoSQL database which provides speed, flexibility and scalability and ensures security and data consistency.
Marklogic Data Hub Platform is built to work in any environment - hybrid, on-premises or cloud.
Two years ago, they used to do time-consuming, flight-by-flight analysis. Today, they can compare thousands of tests quickly—this is part of the multi-flight analysis revolution.” Laurent PeltierLaurent Peltiers
Test Data Processing Expert, Flight & Integration Test Center
Airbus
Vendor: Progress Software Corporation
Founded: 2014
Company Size: 1001-5000
HQ Location: 14 Oak Park Drive Bedford, MA 01730
Financials: IPO
Customer Insight and Engagement Platform
Hive Marketing Cloud is a Customer Insight and Engagement Platform that enables marketers to increase the value of their customers through guided and personalised engagement across multiple channels and devices.
It accelerates marketing revenues by enabling them to deploy highly personalised, sophisticated, multi-channel marketing from a single technology platform surfacing all of their data for an improved, relevant customer experience that engages and converts. It collects and combines all of customer details, illustrated customer behaviour and leads to interesting segments, and drag and drop sequencing of messages, with each customer’s experience personalised based on their engagement.
Its capabilities include customer data platform, multichannel engagement, data intelligence, audience management, customer journey automation, and visual analytics. It integrates with salesforce,shopify, sugar CRM, Xero, Zoho CRM, Quickbooks online, Magento, Dynamics CRM and more.
Vendor: Hive Marketing Cloud
Company Size: 11-50
HQ Location: Unit 3 - North Court, The Courtyard, Bradley Stoke, Bristol, BS32 4NQ, GB
Financials: PRIVATE
Customer Data Platform to Power Connected Customer Experiences
Reltio is a customer data platform that enables customer experience to drive hyper-personalization, accelerate real-time operations, and simplify compliance with consent and privacy laws. It helps to gain business agility, and bring big ideas to life.
Reltio manages all data types including multi-domain master data, transaction and interaction data, third-party, public and social data. Identifies complex relationships among individuals, entities, products and services, locations, and more. Creates holistic, up-to-date, and actionable customer profiles make it easier to drive hyper-personalization, accelerate real-time operations, and simplify compliance and consent management at scale.
Reltio features include accelerating time-to-value, reduce TCO and upgrade without disruption, quickly onboard new data sources, enrich profiles with thousands of attributes, relationships, transactions, and interactions from hundreds of data sources, gain deep, data-driven, and actionable insights about all customers to deliver hyper-personalized experiences, and more.
Reltio Connected Customer 360 gives us capabilities to fuel the experiences of the future at Hyperion X with the data that matters most to our business. It gives us the business agility, enterprise scale, and the insight-ready data we need for big ideas so we can compete effectivelyMiguel Baptista
Chief Data Officer
Hyperion X
Vendor: Reltio, Inc.
Company Size: 101-250
HQ Location: 100 Marine Parkway, Redwood Shores, CA 94065, US
Financials: SERIES D
Tamr Inc.: Tamr Agile Data Unification and Management ...
Tamr is an Enterprise data mastering platform that combines machine learning-based models, rules, and human feedback to quickly and easily publish accurate, up-to-date enterprise data. It helps to improve visibility to organization's data operations and accelerates business outcomes through data-driven insights.
Tamr combines machine learning software with data science expertise to provide accurate analysis. Tamr combines disparate data sources across the enterprise and maps differing data schemas to create a unified view of highly variable data sets. Tamr has open API based architecture to integrate organization's data eco-system. It provides data categorization through human guided machine learning platform through active learning. It analyses data sources by applying advanced algorithms and machine learning to connect and curate attributes and records.
Vendor: TAMR, Inc.
Company Size: 101-250
HQ Location: Cambridge, MA
Financials: SERIES B
Build data-driven, personalized customer experiences that grow lifetime value
Twilio Engage is the marketing solution that combines the power of a native customer data platform (CDP) and native multichannel in order to enable businesses to deliver data-driven personalization and promote efficient growth.
With Twilio Segment, we can get visibility into the complete environment in which our cameras are being used. We can see how and when cameras are being used, and also when people within the club are accessing the recordings. Ultimately, we’re working towards gaining a complete picture of how people... within a club are connected. And this will be game changing in terms of how we communicate and engage different stakeholders in a relevant and timely manner.
Rasmus Nilsson
Paid Marketing Manager
Veo Technologies
Vendor: Twilio Inc.
Founded: 2008
Company Size: 1001-5000
HQ Location: 375 Beale Street, Suite 300, San Francisco, CA 94105
Financials: IPO
Customer Data Platform to improve the performance of every go-to-market initiative.
Openprise RevOps Performance Platform helps to automate critical data management processes so you can execute more effective campaigns and accelerate growth. It is suited for any business looking to scale up, simplify and auto-manage all key processes in marketing and sales.
It features Data cleansing, Lead routing, data unification, dedupe, segmentation, campaign attribution, data enrichment, lead scoring, ABM activity analysis, data onboarding, GDPR compliance, data marketplace, data mechanic and integrations.
It helps to cleanup your data, focus on the right targets, scale your processes and simplify your MarTech stack. It offers better segmentation, personalization and routing to boost campaign performance. It consistently merges dupes, hence there’s no need to manually review.
Vendor: Openprise, Inc.
Company Size: 11-50
Financials: SERIES A
Customer Data Platform to drive personalized customer engagement with industry-leading data & AI
Leadspace Customer Data Platform helps B2B sales and marketing team to drive personalized customer engagement with a focus on growing revenue. This CDP platform helps to manage customer data with AI backed technology.
Leadspace Activation products provide a way to integrate Leadspace CDP into existing Sales and Marketing channels, as well as to visualize, analyze and optimize data and scoring models on-demand. Lead-to-Account Matching, Real-Time and On-Demand Data Enrichment, Predictive Account Scoring, Intent Scoring, Persona Scoring, Look-a-Like Modeling and Ideal Customer Profile Analysis are some of the key features of the Leadspace CDP.
It helps to get more qualified leads, understand the customers, deliver smart communication. The platform permits users to analyze and understand audience segments, whether they already know them or not yet. They can determine how profitable these audience segments are. Because of this, they will be able to easily identify potential customers or discover the opportunities with their existing customers.
Leadspace systematically helps us find and prioritize the right people in our target accounts. We can map our universe – one of the core tenets of our account-based marketing strategy at BloomReach.Jason Seeba
Chief Marketing Technologist
BloomReach
Vendor: Leadspace
Founded: 2016
Company Size: 51-100
HQ Location: 445 Bush Street, Suite 900 San Francisco, CA 94108
Financials: SERIES C
Customer data is the information that any potential consumer offers up in their exploration and interaction with digital entities. This could be as simple as demographic data such as names, emails, and age, transactional data when they shopped online or in-store, or as complicated as behavioral data which covers what they browse online, like and share on social media and over other digital channels.
Knowing and collecting data on customers as they use the internet and interact with a business online through websites, blogs, e-commerce portals, and in-store interactions can bring together a valuable picture of the customer's intent.
A Customer Data Platform (CDP) is a pre-built system that brings together and organizes customer data from various sources. The objective is to create a unified customer database, by pulling in and aggregating raw data on the customer from various touchpoints and making this information available to other systems and departments including marketing, customer service, and customer relationship. This centralized data can be used to integrate applications and analyze data.
In most Customer Data Platforms, data is pulled in a raw form and structured, cleaned and combined to create a more coherent customer picture. The platform then empowers businesses with the ability to search and micro-target with a defined set of audience parameters. And some CDPs are powerful enough to offer this capability in real-time.
This means that as customers continue to interact with brands and browse the internet, more data on their activities are being added and updated every second.
There are four main kinds of customer data that Customer Data Platforms can collect and work with.
A unique identity number plus data such as name, demographics, location and contact information, social handles and professional details come under identity data.
Descriptive data gives a fuller picture of the customer background and interests, and the data collected depends on the type of company/industry that the business is in. Descriptive data can include career and lifestyle information, family size and marital status, and hobby or activity interests that are relevant to the business.
Behavioral data allows businesses to understand how a customer engages with their organization and can include transaction information, recency, frequency, monetary value, email usage data, online activity information, product views, and social media engagement.
Attitudinal Data is driven by customers’ feelings and emotions. This is also referred to as qualitative and it helps provide context for customer profiles. This includes things like motivations, opinions, preferences, sentiments, product desirability and customer satisfaction.
Source: MarTech Advisor
A commonly asked question is what is the difference between CDP and DMP as they both seem to have very similar underlying technology components. The key difference lies in their usage.
CDP is primarily focused on managing company owned data i.e first party data. DMP focuses on 3rd party data. Very often they integrate with each other. One of the main differences between a CDP and DMP is a CDP is all about managing an individual customer with a single profile, while a DMP is about managing segments of customers with anonymous profiles. DMP can not store Personally Identifiable Information as they are more about sharing audiences.
DMP is primarily used for ad targeting and its primary users include advertisers and marketing agencies. CDP is used by marketers for various marketing activities including campaigns, customer communication, and smarter engagement.
Customer data in a company can reside in multiple applications and can come from multiple sources - first party, second party or third party. Customer Data Platforms are built to collect data from a wide range of sources and bring it together to give businesses a comprehensive view of the customer. This data is cleansed, normalized and reliable making it easier for marketers to consume.
CDP makes it possible to have a unified 360-degree view of customers by bringing data from all aspects - identity, behavioral, qualitative. This makes it possible for marketers to run effective campaigns to deliver the right content at the right time to customers. Also, this helps to run targeted marketing, personalized marketing which in turn improves conversion rate.
The task of integrating point solutions and setting up new technologies and tools used to be resource-intensive, while also not being very reliable, as custom solutions are hard to maintain. Customer Data Platforms centralize customer data with maintained turnkey integrations saving hours of integration work.
With a Customer Data Platform in place, marketers gain a complete view of customer behavior that can be used to drive the most comprehensive customer experience in their campaigns without blind spots. This helps to optimize campaigns which inturn optimizes marketing spend.
Most businesses that engage with end customers across channels or in a personalized manner will find a Customer Data Platform very useful. This is especially critical for those that depend on long term continuous engagement and repeat visits to drive revenue - such as businesses in BFSI, insurance, grocery, fashion, departmental stores, food & beverage, entertainment, and telecom.
one of the few fundamental changes in marketing technology in the past decade, because it shifts control of the customer database from IT to marketers
There is a critical need for businesses to interact with their buyers through a highly personalized engagement. This requires that customers be engaged in a seamless fashion across all channels to provide appropriate product recommendations/information tailored to their immediate needs. When businesses have access to customer data in a fragmented fashion, it is very difficult to deliver a unified customer experience. CDP helps marketers to solve this problem.
Brands are constantly playing a game of “catch up” when it comes to meeting their customer needs at the right time. Even though businesses have access to more data than ever before, the sheer overload of information can be a staggering superset that provides little to no guidance to the fundamental question “What do customers want?”
According to a Gartner study, 52% of marketing leaders responsible for data and analytics cite data management, data integration and formatting as some of their most time-consuming activities. CDP solves this problem for marketers.
A Customer Data Platform is the first step towards solving the problem of fragmented, siloed data. It arranges customer data in a way that provides a complete 360-degree view of a customer. A Customer Data Platform provides a centralized data hub that enables teams the ability to provide omnichannel experiences that are always up-to-date with the latest customer interactions.
Customers need to be engaged through their preferred choice of channels. Also, across all these channels, consolidated and accurate data needs to be delivered and the experience has to be seamless. This can become more complicated when different departments drive different marketing campaigns targeting the same set of customers. This problem is solved by CDP as it can help to unify marketing efforts across multiple cross channels.
By leveraging the information obtained in a Customer Data Platform, businesses can build customer profiles that enable them to truly understand their customers’ wants. Supported by customer behavior analysis, marketers can then formulate effective loyalty-building strategies and make personalization at scale possible
Additionally, Customer Data Platforms help companies comply with data privacy regulations like the GDPR. With privacy law compliance becoming a priority in the wake of serious lawsuits hitting data powerhouses like Facebook and Google, having a consistent, reliable and secure way of protecting consumer data is important. CDP helps companies to achieve this goal.
Data Management involves the ability to collect, integrate, cleanse and organize complex data to a form that is usable. CDP should have the ability to ingest raw data from multiple sources - online, offline, historical, first/second/third party data, multiple devices. The data should be unified to create individual customer profiles.
Products like Arm's Treasure Data Enterprise CDP collect data from different sources and reduce the need for data cleaning and preparation. The platform integrates customer attribute and behavioral data in a single system, including PoS, IoT, web, SaaS, mobile and offline – in batch and streaming – for multi-channel marketing.
CDP should necessarily have the ability to deal with large scale data and deliver the right level of performance in providing trends, analysis, and reports out of this data.
Visitor Stitching is the ability to combine multiple visits of a single person across multiple devices into a single profile. This capability is crucial to understand the customer journey across multiple channels and gain insight into customer behavior. Many of the CDP platforms incorporate AI and ML technologies to implement visitor stitching.
CDP provides data analysis capabilities to create and define new customer segments which help to create personalized campaigns. CDP helps to build segments based on various attributes including behavioral attributes. For e.g. customers who visited the website in the last month, customers from the west coast region, customers in the age group of 25-38, etc. CDP helps to keep the customer data up to date with automated updates so that segmentation stays relevant. Segmentation helps in running targeted and personalized marketing campaigns.
Our old friend segmentation is not going away in this new CDP-led world, in fact, segmentation becomes more powerful and more important with any CDP
Most CDP software provide native reporting and dashboards for visualization. Custom reports provide drill-down abilities to get deeper insight. Dashboards help visualize customer profile trends and help to create, maintain and update audience groups. Dashboards also provide the interface to review and analyze customer profiles and segments. Dashboards also provide visual representation 360-degree view of Customers.
Most Customer Data Platforms are designed to enable the data to be made accessible to marketing and sales tools for campaign management, analysis, and business intelligence.
A truly unified customer experience requires integration across your entire marketing technology stack - including analytics platforms, customer data management solutions, and customer experience channels.
Products like Tealium, Amperity and Treasure Data provide out-of-the-box integrations with leading marketing tools across email, display, site personalization, clienteling, customer care, and more enable you to clone predictive individual-level insights throughout your marketing stack – ensuring that personalization tools are delivering the most consistent and relevant experiences to every customer.
Many Customer Data Platforms are also beginning to offer AI-based analytical tools to insightfully interpret customer behavior and offer predictive analytics to anticipated customer activity. Predictive Analytics helps to make sense of the attribute data of the customer profile and also predict trends in the customer journey. These predictions can be based on historical data, customer behavior, and even consolidated customer data across channels. Predictive analytics takes the guesswork out of marketers about when and how to reach the customers - provide accurate and reliable information and triggers to run effective campaigns.
CDP needs to store a large volume of customer data from multiple sources and this could include personal data. Companies are responsible for ensuring data privacy. Security is the foundation of data privacy. Rigorous security protocols are necessary in order to safeguard the privacy of sensitive customer data. CDP needs to provide a mechanism to secure private data and support compliance mechanisms like GDPR in accordance with local regulations.
AI brings in advanced data analytics capabilities such as automated insights, anomaly detection, and contribution/driver analysis in order to quickly uncover more insights from their customer data.
Resolving customer identities from data collected from multiple sources is a complex task. The traditional rule-based approach will not scale as it needs ongoing upkeep and maintenance. This is where AI and ML technologies help. Companies like Amperity use patented ML technology to unify customer records from every system accurately and comprehensively, even when records lack an email address, phone number, loyalty number, or other traditional identity markers.
AI in CDP helps to build predictive modeling that provides insights into customer behaviors.. Using key attributes and behaviors, AI technology helps to build models that help to create right-sized customer segments.
According to Forbes, 93% of executives expect that using more customer data in their campaigns will “create a noticeable shift in their ability to meet disruptive and competitive challenges.”
The choice of CDP can depend on the type of your industry and there are CDP tailored for B2C and e-commerce.
There are CDPs that are tailor-made for specific verticals like BFSI, healthcare, e-commerce.
It is important to analyze your omnichannel strategy while choosing CDP. Some CDPs can be strong in providing orchestration with specific channels like email and website and not so much with social media. If your strategy is leaning towards social media, then you have to choose CDP which is strong in all these channels.
CDP deployment can be complex as it needs integration with several other tools like data collection sources on one side and marketing stack tools for data activation. So it is important to understand integration capabilities and time to set up and run and the complexities involved. Also, it is important to analyze how compatible CDP is with your company’s tech stack.
CDP, by its very nature, needs to deal with a large volume of data and the platform should provide necessary scale and performance.
The underlying technology in CDP can be complex and it is important to understand the capabilities of the underlying data engine and data integration abilities. Also, AI plays a key role in analytics and building a 360-degree customer view.
Since CDP very often involves storing and managing private data of customers, CDP should have support to maintain data privacy and provide compliance as per local regulations.
In sectors such as banking, finance, and insurance;, healthcare, legal, etc, it is crucial to maintain prospect and customer privacy, as well as have the most real-time, up to date customer data available to communicate with them accurately and securely. So CDP should provide a robust and secure data management stack to facilitate this.
CDP is a great tool for marketers. But they can come at a cost, not just in the cost of the software, but also with additional professional services cost and ongoing support. It is good to understand the total cost implications to deploy CDP fully. However, ROI over a period of time could fully justify this investment.
Deploying a Customer Data Platform can be complex. Every business is different and comes with its own unique legacy data, which needs to be sifted through and incorporated. Added to that are the business / industry-specific requirements and the marketing objectives, which can further complicate implementation.
Here are some of the common challenges faced by businesses when implementing a Customer Data Platform.
For a Customer Data Platform to become fully operational in a company, there could be a lag due to time taken for new data to arrive. It could take a considerable time for new data to be gathered and ready for loading to the platform.
For organizations not used to CDP, there would be training and skill-building needed to effectively use CDP. Though CDP is meant for marketers, they could be challenged if they are first time users.
Customer data can grow exponentially over a period of time and specifically if it is multi-channel and in a B2C environment. The Customer Data Platform also needs to be future-proof to company growth, else it can become obsolete in no time. A scalable architecture that can handle expected types of integration and sources is important.
Implementation can be easy or hard depending on the current state of data within the business. Also, every business will have different requirements, goals, and tools – so very often, it would be difficult to predict deterministically how long the implementation process will actually take.
Research from McKinsey shows companies deliver five to eight times the RoI on marketing spend, and boost sales by 10 percent or more when they leverage data-driven personalization.
But in addition to serving customers and prospects in a meaningful way, a Customer Data Platform can also impact your RoI through:
With sales, marketing, and service automation getting more advanced, a Customer Data Platform will provide a firm foundation for future operational changes.
Customer Data Platforms play an important role in both compliance and administration, saving on both associated costs and penalties.
Better data enables marketing teams to optimize targeting and save dollars on wasted clicks and impressions.
Understanding customers also implies the ability to serve them with content or services that they need. Customer Data Platforms can, therefore, enable more paths to monetization through targeted advertising of your products and services as well as your advertisers or partners.
It costs a business more money to find a new customer than to retain an existing one. A Customer Data Platform helps improve your communication and response with existing customers and delivers a positive impact on your bottom line.
Get AI-generated right fit software based on peer experience in just a minute.
An Universal Data Marketing Platform and Customer Success Manager
Vendor: mediarithmics
Company Size: 51-100
HQ Location: 3, Rue de Stockholm, Paris, Ile-de-France 75008, FR
Financials: SERIES B
Airline Omni Channel Retailing with Dynamic Offer management and seamless cross-channel support
Vendor: OpenJaw Technologies.
Company Size: 51-100
HQ Location: Dublin
Financials: PRIVATE
Customer Data Platform | Open Source CDP - Pimcore
Vendor: Pimcore GmbH
Company Size: 51-100
HQ Location: Söllheimerstraße 16, Gusswerk Halle 6, Salzburg, Salzburg 5020, AT
Financials: SERIES B
The ultimate solution for WhatsApp marketing
WebMaxy analyzer is used by digital marketers, owners, product marketers, and other decision-makers to make informed decisions. It is simple to use, powerful, and easily integrates with your present tech sack. It helps you find the missing dots in analyzing user behavior.
Vendor: Webmaxy Pvt. Ltd.
Company Size: 51-100
HQ Location: Baner, Pune, India, 411045
Financials: PRIVATE
Oddity Software - Databases, Web Development & Design
Vendor: Oddity Software LLC.
Customer Data Platform to activate audiences and signals useful to the advertising and content industry.
Sirdata is a Customer Data Platform that helps to analyze, structure, process and make activatable audiences and signals useful to the advertising and content industry. It provides the clients with the guarantee of reaching captive or purchase intents audiences through targeting whether through contexts and its cookieless predictive tools and/or through tracers and consent management.
Vendor: Sirdata
HQ Location: 20 rue Saint Fiacre 75002 Paris, France
E-mail Marketing - Data-Driven Marketing
Vendor: ReachLocal, Inc.
Company Size: 1-10
HQ Location: Sepapaja tn 6, Lasnamäe district, Tallinn, Harju 15551, EE
Financials: PRIVATE
Cloud-Based Platform to understand the behavior of each visitor
Hariken is a cloud-based platform that uses big data and predictive analysis to understand behavior of each customer and export the data to marketing tools. It is suited for companies looking to understand and predict consumer behavior.
Vendor: Hariken
Company Size: 11-50
HQ Location: Rua Fernando Amaro, 60, Curitiba, PR 80130000, BR
Financials: SERIES A
Better personalisations and more conversion
Vendor: Spotler Limited
Founded: 2005
Company Size: 11-50
HQ Location: The Old Byre, Peper Harow, Godalming, Surrey, GU8 6BQ
Financials: M&A
1st party CRM data onboarding solution. Make marketing strategies more relevant and optimize on ROI
Vendor: Graphinium SAS
Company Size: 1-10
HQ Location: 16 Rue de Bucarest 75009 Paris
Financials: PRIVATE
