Data On Demand

Gain actionable customer insights to improve customer experience, reduce friction, increase conversions, and uncover cross-sell and upsell opportunities

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Personalize marketing campaigns, products and services to ideal customers by analyzing purchase and product usage behaviors.

Increase cross-sell and upsell to customers or merchants with deep insights into the value or risk of each with Kount’s unmatched Identity Trust Global Network data.

Continuously monitor and adjust rules and policies based on near-real time fraud trends by making constant data-driven changes.

Approve more good orders and increase manual review accuracy by analyzing and refining approval and velocity rules to quickly minimize customer friction.


 

Grow revenue with actionable customer insights

Kount’s Data on Demand solution enhances a company’s customer knowledge with thousands of additional data points from Kount’s Identity Trust Global NetworkTM. The data can be analyzed on its own or combined with additional company-collected data for deep analytics on one platform. Businesses can uncover actionable customer insights that can amplify revenue growth. Built on Snowflake and hosted by Kount in a private data warehouse, Data on Demand has the performance, scale and security needed for big data analytics.


 

Data From Multiple Sources

Kount’s Data on Demand includes payments data from Kount’s fraud protection platform that is enriched with digital identifier, device, location, email, and Kount’s AI Omniscore decision data from Kount’s Identity Trust Global Network. Additional valuable data types that can be included are geographic lookup data from IP and mobile location services, address lookup data from mailing address, phone number, and name, and the date that email addresses were first seen. This data can be used by itself or further augmented with additional company-collected data.

3 data types

 

Aggregated Data

Data on Demand is built on Snowflake’s cloud architecture. This secure, single, near-zero maintenance platform-as-a-service provides logically integrated compute, storage, and cloud services layers. The layers are scale-independent to support high workloads, enabling quick data manipulation without performance, concurrency or scale limitations. Snowflake runs on the AWS cloud, providing uninterrupted access to data.


 

Deep Analytics For New Insights

Analytics from the aggregated data can uncover insights into fraud anomalies and the value or risk associated with each customer, business, or partner. It can also reveal business operation improvement opportunities, and can surface customer and market insights for product improvements. Analytics can additionally provide a 360-degree view of customers across channels to uncover true omnichannel customer behavior and experience, providing insights for enhanced customer targeting.


 

Types of Accessible Data

Payment type
Payment token
Bank name
Country
Amounts
Currency used
And more

Unique customer data
User Defined Fields
Coupon codes
Loyalty numbers
And more

Physical location

Billing address

Shipping address
Address verification

Time zone

Local time of day
And more

Device ID
Device type/information

IP address

Bill + ship email addresses

Phone number

Logins/sites visited

And more


 

Data on Demand Benefits

Increase revenue with data-driven insights. Make business decisions for new products or features, store locations, markets, or targeted campaigns.

Find insights to business-specific problems that are difficult to view on a transaction level or in real time, by viewing aggregated data from multiple sources.

Discover true omnichannel customer behavior and surface customer and market insights for product improvements, enhanced targeting and increased cross-sell and upsell opportunities.

Determine top performers and risky accounts by assessing value and risk associated with each customer, business or partner.

Build and automate detailed reports to analyze and track fraud or business KPIs with data that isn’t typically available on a payment transaction.

Make more accurate manual-review decisions by recognizing anomalies and trends with connected cart, location, and browser data.

Compare the consistency of fraud analysts by evaluating individual metrics for chargeback, approve, and decline rates.

Learn more about Kount's Data on Demand

Download the Feature Sheet