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    Amperity Customer Data Cloud

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    Sold by: Amperity 
    Deployed on AWS
    Amperity's Customer Data Cloud is the intelligent data foundation for brands looking to unlock AI-powered identity resolution, customer unification, and real-time activation at scale. Built on enterprise-grade AI and machine learning, Amperity enables organizations to unify fragmented first-party data, generate actionable insights, and activate audiences seamlessly.
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    Overview

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    Amperity's Customer Data Cloud is an AI-powered platform designed to help brands rapidly transform raw customer data into actionable business assets. By leveraging advanced AI and machine learning, Amperity enables organizations to unify fragmented data, generate comprehensive customer profiles, and activate insights across their ecosystem, leading to enhanced customer engagement and business growth.

    Our products:
    AI-powered Identity Resolution uses patented machine learning algorithms to unify customer profiles across data sources, ensuring accurate and consistent identities even as customer information evolves.

    Customer 360 provides an enterprise-grade, unified customer view, enabling brands to seamlessly access and analyze comprehensive customer data, facilitating strategic insights and personalized experiences.

    Reverse ETL enables seamless data operations by automating and monitoring customer data transformations and workflows, ensuring data is consistently available across your organization without the need for SQL, scripts, or manual CSV uploads.

    Audience Hub is a customer intelligence and activation platform that enhances marketing effectiveness by leveraging unified customer data to improve contact rates and personalize every touchpoint.

    AmpAI is an AI-powered toolkit designed to enhance decision-making for marketers, analysts, and data engineers by accelerating data modeling, enabling smarter decisions, uncovering hidden revenue opportunities, and building trust in data through advanced AI and machine learning capabilities.

    Highlights

    • Powered by AWS - Amperity's Customer Data Cloud runs on AWS, ensuring scalability, security, and seamless integration across cloud environments.
    • Enterprise-Scale Identity Resolution - Our patented AI/ML technology accurately unifies billions of customer records for real-time, AI-driven insights.
    • Flexible, Modular Architecture - Use all or parts of the platform to seamlessly integrate with your existing tech stack, filling critical data and activation gaps.

    Details

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    Deployed on AWS
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    Pricing

    Amperity Customer Data Cloud

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    36-month contract (1)

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    Dimension
    Cost/36 months
    Amperity Full License
    $2,750,000.00

    Vendor refund policy

    All fees are non-cancellable and non-refundable except as required by law.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Vendor resources

    Support

    Vendor support

    Amperity Customer Data Cloud Support
    All Amperity customers receive comprehensive support throughout their journey, including:

    • Pre-sales consultation to align on business needs.
    • Implementation support to ensure seamless deployment.
    • Post-sale customer support & advisory for ongoing success.

      Support inquiries will be addressed during normal business hours. For assistance, contact bd@amperity.com .

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    25
    In Automotive
    Top
    10
    In Master Data Management, Healthcare & Life Sciences, Financial Services
    Top
    50
    In Data Preparation

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    9 reviews
    Insufficient data
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    AI-Powered Identity Resolution
    Patented machine learning algorithms unify customer profiles across multiple data sources, ensuring accurate and consistent identities with real-time processing capabilities for billions of customer records.
    Unified Customer Data Platform
    Enterprise-grade unified customer view that consolidates fragmented first-party data into comprehensive customer profiles accessible across the organization for analysis and insights.
    Reverse ETL and Data Automation
    Automated data operations and workflow management that transforms and monitors customer data transformations, enabling consistent data availability across the organization without requiring SQL, scripts, or manual uploads.
    Customer Intelligence and Activation
    Platform for leveraging unified customer data to enhance marketing effectiveness through audience segmentation, contact rate improvement, and personalized touchpoint activation.
    AI-Powered Analytics Toolkit
    Advanced machine learning capabilities for data modeling, decision support, revenue opportunity identification, and data quality validation for marketers, analysts, and data engineers.
    Entity Resolution
    Patent-pending Flexible Entity Resolution Networks (FERN) with LLM-powered pre-trained ML models enabling rule-free matching with high accuracy across industries
    Natural Language Interface
    Reltio Intelligent Assistant (RIA) providing gen AI and natural language chat-based search capabilities for complex technical content integrated into the platform
    Data Quality Monitoring
    ML-powered automation for continuous inspection and detection of data anomalies with immediate flagging of unusual patterns
    Cloud-Native Architecture
    Microservices-based architecture supporting real-time bidirectional data exchange with operational systems at scale
    Multidomain Master Data Management
    Unified data unification, standardization, and enrichment from disparate sources with entity resolution and 360 data products capabilities
    Universal Query Engine
    AutoSQL provides a universal query engine for unified data access across disparate data sources.
    Data Discovery and Classification
    Watson Knowledge Catalog enables real-time discovery and classification of data with automated cataloging capabilities.
    Automated Policy Enforcement
    Pervasive privacy framework with automated policy enforcement for sensitive data protection across all users in the organization.
    Model Operations and Governance
    ModelOps on Watson Studio synchronizes application and model pipelines while monitoring and governing AI models to manage risk, reduce drift and bias, and enhance transparency.
    Data Fabric Architecture
    Data fabric technology connects siloed data on premises or across multiple clouds without requiring data movement, enabling consolidated and governed views of enterprise data.

    Contract

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    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

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    4.4
    56 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    62%
    32%
    4%
    0%
    2%
    1 AWS reviews
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    55 external reviews
    External reviews are from G2  and PeerSpot .
    Prakhar Birthare

    Unified customer insights have transformed reporting agility but still need richer custom analytics

    Reviewed on Jun 18, 2026
    Review provided by PeerSpot

    What is our primary use case?

    Amperity  is leveraged for centralized customer analytics and executive reporting. With fragmented customer data scattered across systems like CRM  and e-commerce platforms, Amperity  acts as a customer data platform, ingesting and resolving identities to provide a unified customer view. My day-to-day involves translating this data into strategic reports and dashboards to track customer behavior and drive decision-making.

    Prior to adopting Amperity, comparing website user behavior against CRM  database reporting required labor-intensive manual SQL joins or Excel VLOOKUPs, but Amperity automates this process. Amperity's AI-driven identity resolution engine helps merge customer profiles using a hybrid framework of deterministic rules and machine learning, processing data from varied systems like CRM, e-commerce, web logs, offline POS, or loyalty apps.

    The deployment of Amperity has fundamentally changed the dashboarding and reporting layer. Historical dashboards were template-driven for historical trends. Now, instant querying is available to correlate digital interactions with historical CRM data without manual data cleaning.

    Amperity offers robust audience segmentation and personalization features, although our marketing team handles that segment. Amperity's reporting visualizations and dashboarding are notable features, built on the proprietary AI-driven identity resolution engine that merges disparate identifiers into a master profile.

    What is most valuable?

    The best features Amperity offers include its reporting visualizations and dashboarding layer, which sits atop the proprietary AI-driven identity resolution engine. It efficiently matches disparate identifiers into a single master profile. Its robust audience segmentation tools further enhance its utility. Furthermore, Amperity stabilizes data as a single source of truth, leading to increased operational velocity and enhanced data trust. By resolving data discrepancies from isolated systems and reducing the feedback loop for data validation, leadership can make faster, more confident strategic decisions.

    What needs improvement?

    Amperity's ad hoc and non-standard reportational limitations present significant challenges. While the platform provides a solid framework for standard dashboards, it becomes rigid for highly specific, customized data requests from executive leadership. Writing manual queries or exporting data to external tools like Tableau becomes necessary for deeper analysis, undermining its centralized analytical tool premise.

    The internal UI lacks the deep calculation capabilities for complex conditional formatting found in dedicated business intelligence software, causing workflow friction. The platform's rigidity in generating custom reports is a primary bottleneck and reiterates that the native analytics and visualization capabilities have not caught up to its powerful back-end database.

    Data export bottlenecks compromise Amperity's centralized analytical tool claims. Analysts often need to extract data externally for complex requests due to the limited native visualization capabilities.

    For how long have I used the solution?

    I have been utilizing Amperity on a nearly daily basis for approximately seven to eight months.

    What do I think about the stability of the solution?

    Amperity is stable, and I have not experienced any downtime or reliability issues since I started using it. The AI identity graph primarily strengthens its stability in resolving customer data.

    What do I think about the scalability of the solution?

    The scalability of Amperity has been seamless. As our e-commerce traffic and CRM database sizes have increased significantly, Amperity has efficiently handled the larger data volumes.

    How are customer service and support?

    My experiences with Amperity's customer support have been positive due to the platform's stability. I have not had to log system down tickets, and most inquiries have been technical how-to questions involving complex reporting configurations.

    Which solution did I use previously and why did I switch?

    Before Amperity, I did not have a dedicated CDP. I used a manual pipeline where analysts extracted CSVs separately from CRM and e-commerce platforms. This process was unscalable, prone to human error, and created bottlenecks whenever leadership requested cross-channel data points.

    What was our ROI?

    The operational ROI is clear and measurable. Constructing monthly cross-channel executive reports used to take six to eight hours of manual data tasks. With Amperity, data is pre-aggregated, reducing this time to under an hour.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup costs, and licensing is that financial metrics, licensing tiers, and implementation costs are managed by department heads and procurement teams. The licensing models have not hindered operations.

    Which other solutions did I evaluate?

    I did not evaluate other options before choosing Amperity. My friends recommended Amperity to me.

    What other advice do I have?

    Amperity could be improved with high-value customer and cohort-level metrics such as cross-channel engagement frequency, lifecycle transitions, and behavior trends. Emphasizing macro-level trend matrices aids in delivering insights rather than focusing on granular data events.

    To understand why certain parts of the tool are sophisticated while others feel rigid, it is important to recognize the platform's reliance on acquired capabilities for downstream campaigning or orchestration and predictive analytics.

    For those considering Amperity, it is advisable to evaluate specific analytical workflows beforehand, especially if your goal is to unify customer identities or build standardized dashboards for leadership. My overall rating for this product is 6.5 out of 10.

    John Hur

    Marketing team has gained self-service access to clean customer data and runs targeted campaigns

    Reviewed on Apr 21, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for Amperity is for marketing and e-commerce, and we use all our customer data and push to Amperity to have a white glove service for data analytics.

    A specific example of how I use Amperity for marketing and e-commerce is that we pull our customer information; our e-commerce department uses queries to find data such as the top 100 customers who may purchase a TaylorMade driver this year, and our marketing and e-commerce team will extract the customer list and execute the marketing campaign.

    We are using Amperity for data analytics.

    What is most valuable?

    Amperity offers very clean data and good analytics as its best features.

    Amperity helps with data cleanliness by removing all duplicates, consolidating all multiple data and repetitive data, and they do a great job on cleansing our data and making it into information.

    Amperity has positively impacted my organization because our marketing and e-commerce team does not require the IT team's help anymore; they are very self-driven and operating under a self-service model, and I am very happy to have that solution.

    This shift to self-service has led to measurable results, such as the ease of pulling the data using AI functionality and the speed of getting data because everything is so easy to use.

    What needs improvement?

    Amperity could be improved by making the implementation a little faster, as there were some delays and I believe it could have been a faster implementation.

    Their machine learning works very well.

    For how long have I used the solution?

    I have been using Amperity for about four years.

    What do I think about the stability of the solution?

    Amperity is 100% stable; I have not noticed any downtime.

    What do I think about the scalability of the solution?

    Amperity's scalability is very good for our size of data; there are no issues.

    How are customer service and support?

    Amperity has a very good customer service team, and if there are any concerns, questions, or issues, they address them right away.

    The customer support was excellent.

    I would rate the customer support a 10, but I would give it 100 if I could give 100.

    I gave it a 10 because of the excellent customer service; the technology is already good, I knew that and got a good reference before we purchased Amperity, but their customer service was excellent as well.

    Which solution did I use previously and why did I switch?

    I did not previously use a different solution because we did not have the proper CDP before Amperity.

    What was our ROI?

    I have seen a return on investment with fewer employees needed and also the speed of getting data; everything is so easy to use, including their AI-based reporting feature, so we are very happy to have that tool.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing is that it was not cheap, but I believe it is reasonable after seeing what we are able to get from them.

    Which other solutions did I evaluate?

    Before choosing Amperity, I evaluated other options, but it has been over five years, so I cannot remember what they were; there were two other solutions we looked at, and Amperity was recommended by our chief marketing officer.

    What other advice do I have?

    My advice to others looking into using Amperity is to make sure you get good pricing and know your size of data. I give Amperity an overall rating of 10.

    Avi Cherny

    Unified fragmented customer data has created a single view that reveals true buying behavior

    Reviewed on Mar 23, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I am exploring how to unify customer data from different sources and improve visibility across systems. We have email on one system, phone on another system, and orders on a third system, and we wanted to unify and understand what the specific user is buying.

    I came up with a simple example of how I used Amperity  to unify that customer data. We explored how data from different systems would be unified into a single customer view, which helped us better understand user behavior and identity gaps in our data flow. We took data from the CRM  and unified it with the orders since there were gaps in this data. So we unified it and we even revealed that we thought a specific customer does not buy anything and just exists there, but it appears that he is buying continuously. It really was helpful.

    It was mainly part of a broader effort to improve how we handle and analyze customer-related data across multiple tools.

    What is most valuable?

    The best features Amperity  offers are its strong data unification, relatively intuitive interface, and the ability to create a more complete customer profile. Eventually, you can combine data and really understand who this buyer is. You can come back to him because you now have his phone and address. There are regulatory matters that you cannot combine things together in one system, and using this system, we could understand who our customer is.

    Amperity has positively impacted my organization by helping improve visibility into customer data and supporting better decision-making.

    What needs improvement?

    Amperity needs better onboarding documentation. Although it is very clear and intuitive, having guidance for initial setup would be helpful.

    I think there should be a kind of template for guidance. There is a tool I cannot recall the name of, but it highlights the main features. Showing a demo at the beginning and giving quick tips and tricks would be beneficial, as sometimes, the remaining twenty percent of information is hidden.

    For how long have I used the solution?

    I have been working with Amperity for about a year.

    What other advice do I have?

    I find this interview pretty clear. Speeding it up a bit would be beneficial. My review rating for Amperity is eight.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Sahana R.

    Unifies Customer Data for Actionable Insights

    Reviewed on Dec 22, 2025
    Review provided by G2
    What do you like best about the product?
    What I like best about Amperity is how it unifies customer data to deliver clear, actionable insights. I also appreciate the innovative approach and collaborative environment that makes working with data both impactful and exciting.
    What do you dislike about the product?
    Honestly, there’s not much I dislike, but like any fast-growing tech company, things can move quickly, which sometimes means adapting to new processes or changes on the fly. I see it more as an opportunity to learn and grow.
    What problems is the product solving and how is that benefiting you?
    Amperity is solving the challenge of fragmented customer data by unifying it into a single, actionable view. This helps me by making analysis more accurate, insights more reliable, and decisions faster and more data-driven.
    Marketing and Advertising

    useful and quite interesting

    Reviewed on Oct 20, 2024
    Review provided by G2
    What do you like best about the product?
    Data unification, collecting user data from different channels into one profile, as this provides a complete and accurate view of user behavior and preferences. The data analytics tools help companies stay on trend and identify trends for decision-making.
    What do you dislike about the product?
    Costs, learning curve, dependence on third parties, and I am concerned about privacy and information leakage that may exist. I am not saying that it does, but I am saying that it may exist. For this, they must comply with privacy regulations.
    What problems is the product solving and how is that benefiting you?
    It avoids data fragmentation and creates a user profile where I can have everything organized.
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