金融科技 - JuicyScore 博客

现代的在线公司不仅需要找到新的渠道来吸引客户和推广其服务，还必须保护自身和客户资产。

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Today’s online businesses should not only find new channels to attract clients and promote their services, but also protect both customers’ and brand’s existing assets. Following our experience, the toxic or risky traffic proportion estimates around 15-20% to existing customers depending on the degree risk assessment on early stages. As for the new traffic, it varies between 25 and 30%.

Apart from obviously fraudulent traffic with high-risk attributes, there is also a low-quality toxic primary traffic with low conversion rates. In some cases, it may even exceed the company's fraud volume.

## What Is JuicyLightning?

In fact, the product helps to prevent online fraud. Every time fraudulent events occur on the client's website or with the personal account, the system activates specific triggers.

The new solution can be used for protection when downloading applications and media assets, as well as providing basic bot filtering against media fraud.

In addition, the solution is suitable for user account monitoring and protection within financial institutions. It keeps classifieds safe and prevent account takeovers via remote access.

## How Can JuicyLightning Help?

- **Monitoring and protecting personal account online sessions**. The product uses online triggers to monitor user activity and prevent threats. This includes tracking remote access, account hacking attempts, verifying associated credentials, and monitoring high-risk actions (any type of high-risk user behavior). It allows to quickly respond to potential risks, ensuring account protection during active sessions.
- **Low-value assets Protection**. JuicyLightning focuses on safeguarding "low-value" assets, such as media assets and accounts in services like taxi apps and classified listings. To protect more "high-value" assets, it’s recommended to use JuicyScore or JuicyID-level solutions/technologies.

## What Types of Fraud Can JuicyLightning Prevent?

JuicyLightning effectively prevents remote access threats and social engineering attacks, such as fraudulent calls, phishing, and credential manipulation. JuicyLightning can also efficiently detect suspicious access attempts to personal accounts and identify linked accounts, helping to track connections between a single user’s multiple accounts.

JuicyLightning tracks high-risk user behavior, such as the use of virtual machines, randomizers, toxic VPNs, or TOR networks, injection attempts, and other technical threats.

Bots represent automated software applications that visit websites or use online services. It’s crucial for companies to recognize bot traffic to protect their resources and ensure the reliability of their online operations.

**Click bots** are programs that automatically click on ads. They become increasingly popular. **Scraping bots** can steal content, violating intellectual property rights and damaging brand reputation.

Additionally, setting up bot blocking and detection helps to establish a stronger business’s network and server infrastructure against DDoS attacks and hacking attempts. Bots can account for 20% to 60% of all clicks, negatively impacting return on investment.

Malicious bots can damage website analytics, leading to inaccurate data analysis and poor business decision-making. They utilize server resources and communication channels slowing down the website speed and performance. It results in downtimes and unexpected financial losses.

Click fraud is used to mispresent a company’s organic traffic stats. It happens through display ads, videos, social media, or search, often using anonymous VPNs. This traffic generates zero revenue. What’s more, it may cause companies to leave a compromised promotional channel.

Ad stacking is a common form of mobile fraud, especially in pay-per-click advertising. It involves multiple ads stacked on top of each other. The problem here is that users see ser only the top ad. As a result, advertisers pay for impressions and clicks even though the user never sees the ad.

JuicyLightning also helps with other tasks related to protecting assets in the online environment.

## What is the Difference between JuicyScore, JuicyID, and JuicyLightning, and How Can They Work Together?

![Table_Eng.png](/uploads/Table_Eng_7172c30de8.png)

**JuicyScore** is the core of an advanced anti-fraud solution designed to protect higher-value assets that range from significant bonuses to loans. With this solution, online businesses can significantly reduce application fraud risks, attract new customers, and build trust. JuicyScore allows for segmenting incoming traffic by risk levels, improving the accuracy and efficiency of decision-making systems.

**JuicyID** is a lighter version of JuicyScore. It is designed to protect online service accounts. The product protects lower-value assets in a fast response time. JuicyID uses Device ID, one of the most reliable digital fingerprints, with a data vector containing 130+ attributes. This allows the system to create various rules to prevent fraud and detect suspicious activity from virtual users while maintaining cost efficiency.

**JuicyLightning** is a specially developed independent technology designed to filter high-risk events and detect media fraud. It is one of the fastest and most effective solutions on the market boasting a response time between 100 and 300 milliseconds including data delivery time. JuicyLightning also plays a crucial role in combating fraud related to bot traffic.

All three products — JuicyScore, JuicyID, and JuicyLightning — are interconnected and address different fraud prevention tasks. Together, they form a unified ecosystem to deliver high-end protection against various types of fraud and enhance overall security. They can seamlessly utilize each other's data to increase accuracy.

JuicyLightning is a highly effective system when instant responses to red flags are needed. It improves prompt decision-making. In cases of elevated risk, the system triggers back-push events according to their risk level. We present one of the fastest and most effective solutions on the market, which effectively filters out applications showing signs of high risk and commercial fraud, a growing global issue over the years. 

JuicyLightning is the new solution that can be used for protection when downloading applications and media assets, as well as providing basic bot filtering against media fraud.

JuicyLightning: A New Product for Event filtering, Account monitoring and Real-Time media asset protection

新商品：事件过滤、会议室监控和媒体资产实时保护

2023年金融科技行业经历了稳健增长。这是由[数字创新和消费者行为变化]所驱动的(https://insights.discoverglobalnetwork.com/insights/global-state-of-fintech-executive-summary)。金融科技公司通过引入新技术、面向客户的价值提案以及灵活多样的团队，显著改变了金融服务行业的格局。今天我们想介绍金融科技领域的主要趋势，这些趋势可能会在2024年改变金融行业

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Driven by [digital innovation and changing consumer behavior](https://insights.discoverglobalnetwork.com/insights/global-state-of-fintech-executive-summary), the financial technology industry saw strong growth in 2023. Fintech companies are significantly changing the financial services landscape. They introduce new cutting-edge technologies that feature customer-centric value propositions delivered via agile and versatile teams. Today, we want to highlight the top financial technology trends that could reshape the financial sector in 2024.

What we see now is the rapid growth of Fintech companies due to the strong development of not only the financial services sector in general but also rapid digitalization. Customers change their preferences in favor of simplified procedures for obtaining financial services and growing investor support. In turn, the development of the Fintech and insurance industries promotes deep-tech technology development and popularization. These technologies appear to be the core of Web3. They make it possible to move all transactions with significant financial assets online as well as increase their accessibility.

## AI as the Foundation of the Financial Industry

According to [Juniper Research](https://www.juniperresearch.com/research/fintech-payments/banking/generative-ai-in-banking-market/), online banks and Fintech companies will spend around 85 billion by 2030 on using artificial intelligence. They believe AI-driven technologies will let them drill down into the customer experience.

It should be noted that Fintech companies have increasingly relied on artificial intelligence over the last few years. AI has grown into a new trend helping businesses better understand the customer journey, optimize operations, and make more accurate and informed decisions to grow online businesses.

Indeed, financial services are gradually becoming better thanks to advances in AI and data analytics. Fintech companies are using intelligent algorithms to analyze different spending patterns and adapt marketing strategies, risk profiles, and investment preferences.

## AI and New Challenges in the Field of Digital Risk Management

While the effectiveness of digital technologies evolved over the years, we still see a clear trend towards the need to expand the range of solutions. This is triggered by new challenges and complexities of online risk management, the consolidation of fraud networks, and the proliferation of usage of AI approaches for online fraud.

In particular, social engineering methods are improving along with the development of new technologies. Some common approaches are vanishing into the past. Fraudsters are equipped with the latest digital tools letting them use deepfake and AI to steal money. For example, a Hong Kong-based company lost[ $25.6 million](https://www.juniperresearch.com/research/fintech-payments/banking/generative-ai-in-banking-market/) in a single video conference. A local employee from the finance department received a phishing message allegedly from the company's CFO. In his message, a fraudster asked to urgently conduct a major transaction. On a group call, the employee actually saw his boss, who confirmed the need to transfer the specified amount.

There is another significant problem with AI applications in reference to online fraud. Artificial intelligence gradually learned to bypass the existing protection means based on the analysis of users' photos and voices, which are general measures to protect cryptocurrencies. 

For example, deepnet and darknet actively spread deepfake services that can generate driver's licenses, passports, and other types of IDS despite the country. Oppositely, service owners claim that such actions are not illegal, as they are not responsible for these particular forgeries. At the same time, using such services, fraudsters can defraud the KYC systems of many cryptocurrency exchanges, online wallets, and financial services.

All financial market participants have to face the truth and consider this negative aspect of AI development. It will let them grow the number of security solutions as well as increase their implementation and update speed.

## A2A and Mobile Payments – A New Alternative to Brick-and-Mortar Services

In the field of E-commerce and digital wallets, the rise of Account 2 Account (A2A) payments is already replacing traditional cards. Experts expect the seamlessness of A2A payments to become an effective alternative to traditional E-commerce payment solutions.

Besides, mobile payments will grow significantly in 2024. Experts predict their critical transformation: mobile payments may go beyond one-off transactions with the shifting focus on offering more advanced banking services. It will eventually result in reduced dependence on traditional payment systems.

## B2B BNPL will Fill the Gap for SME Financing

Buy Now Pay Later (BNPL) services for B2B transactions will become essential financing tools for SMEs. These solutions will address budget shortfalls by providing SMEs (Small and Medium Enterprises) with affordable and flexible financing options.

## The rising popularity of Central Bank Digital Currencies

The growing popularity of central bank digital currencies is another trend that shapes the industry greatly. CBDCs are already moving from theoretical discussions to practical implementation in a large number of countries.

Some central banks started actively introducing or developing their digital currencies. They believe it will help them modernize payment instruments and empower the financial system. Specific use cases for CBDCs will emerge, contributing to their substantial advancement and bringing the industry into the phase of growth and further technological adoption.

## Financial Accessibility to Boost the Development of Digital Banking

For many years, the Fintech industry has been trying to resolve crucial social problems for many years. At some point, it is the only alternative to traditional lending and one of the few instruments to ensure effective regulation by Central Banks for low-income segments of the population.

According to [CreditSummit](https://www.google.com/url?q=https://www.mycreditsummit.com/microfinance-statistics/?ref%3Djuicyscore.com&sa=D&source=docs&ust=1707476006431683&usg=AOvVaw1thNksqHnXLauWOQGzN-E8), about 65% of the world's microcredit consumers are concentrated in suburban areas with no or even ATMs. Less than 20% of borrowers (residents of developing countries) obtained a loan through traditional financial instruments.

The segment is very huge making it extremely attractive for all market players despite the country mainly because of low customer profitability. Unlike classical financial institutions with their significant operating costs, this segment creates favorable conditions for Digital Banks and Fintech companies’ development. 

## The new Secure Access Service Edge architecture

It is sufficient to observe that SASE is not just another trend. It is a mandatory element of the architecture and development of all global or large web resources and applications.

The Secure Access Service Edge (SASE) concept was developed by global research and analysis agency Gartner in 2018 in response to the growing use of mobile devices, cloud applications, and services. SASE is a secure access technology also known as a new network architecture that combines the functionality of network and security services.

We believe that the use of SASE methodology is one of the fundamental Fintech trends for the next 5-10 along with A2A payments and digital currencies.

The importance of this trend is driven by the ongoing need to reduce operational risk costs and demand for growing data compliance requirements for Digital Banks and Fintech companies.

## What is Secure Access Service Edge (SASE)?

SASE introduces a large technological set for secure access to web resources and applications. It involves a software-defined network with a new architecture, secure web gateways, tools for secure access to resources and/or applications on this network, session verification tools, and global firewalls (one of the trends in cyber security) as core capabilities.

Implementing this type of solution can significantly reduce operational risks, improve the availability and responsiveness of applications/web resources, and increase manageability and compliance with localization and compliance requirements for handling all types of data.

The key elements and benefits of the SASE model are as follows:
- significantly higher security level and a wider range of tools to mitigate operational risks;
- significantly higher network speed with the lowest possible latency;
- significantly higher availability of applications and resources to end users;
- a broader set of available data and tools to mitigate operational risks;
- lower the overall cost of maintaining and managing the infrastructure by reducing its complexity and 
- increasing management transparency (especially relevant for large companies with an international presence);
- increased privacy and data localization for web and mobile applications.

SASE is often associated with a standalone service to help companies if per-session risk validation is required (i.e., assuming there are no absolutely trusted sessions - zero trust approach) to provide real-time device authentication-based access, as well as in the context of security policies and regulatory compliance.

## Implementation Scenarios: when the SASE model will suit organizations?

The SASE methodology is primarily useful for medium and large-sized companies that need reliable and continuous access to cloud resources and data. This kind of information is essential for businesses that cannot afford different kinds of issues and long downtimes.

Unfortunately, most of today's security solutions fail to deliver the required level of speed, performance, security, and access control that organizations and their users' needs. So, SASE is a qualitative rather than quantitative stage in the process of networking technologies’ development alongside business strategies that utilize these technologies.

The main difference between SASE and other technological approaches is the placement of network security management mechanisms within the perimeter of the cloud edge zone. In most traditional models, security management is centralized. As a result, SASE negates the need for services that call for individual configuration and management. Instead, SASE provides a standardized set of network and security services that enable a more robust and efficient network architecture.

The main goal of the majority of our research is to explore new risk-management tools and increase the level of trust.

At the moment, there are practically no full-cycle SASE solution providers that are represented globally in the market. There are no companies with sufficient expertise in all elements and understanding of the market architecture. At the same time, we can see a growing number of individual solutions with a focus on only a part of the required SASE functionality.

We believe that all global companies and service providers will need to adopt these technologies or their analogs in the next few years.


Driven by digital innovation and changing consumer behavior, the financial technology industry saw strong growth in 2023. Fintech companies are significantly changing the financial services landscape. They introduce new cutting-edge technologies that feature customer-centric value propositions delivered via agile and versatile teams. Today, we want to highlight the top financial technology trends that could reshape the financial sector in 2024.

Fintech 2024: the Future of Finance

未来的金融科技：技术趋势、挑战和解决方案

金融科技公司之间的高度竞争和它们对不断变革和创新的准备使它们能够成功争夺信贷领域的领导地位并增加市场份额。可靠的合作伙伴帮助把这种增长变得更稳定的。国际金融科技公司ID Finance Mexico（品牌 MoneyMan: moneyman.com.mx）与风险管理和反欺诈解决方案市场领先企业JuicyScore合作已经3年了。


31 Aug 2023_MoneyMan MX leverages JuicyScore to increase approval rate x 1.5 times.png

Technological agility helps fintech leaders to stand out from competition and increase the market share. Strong and reliable partners make this growth even more sustainable and significant. ID Finance in Mexico (MoneyMan brand - moneyman.com.mx) has been cooperating with JuicyScore, risk management and antifraud leader, for the last 3 years.

In comparison with other solutions JuicyScore has a number of benefits, such as stable Device ID and highly informative data vector, which allowed JuicyScore to become a part of the Company's decision making strategy. Moreover JuicyScore let to strengthen risk management technological stack and company's scoring models.

## Which variables performed best on being plugged into the model?

Dmitry Mikolauskas, Risk Director at ID Finance Mexico has shared his experience of working with JuicyScore team: “We managed to increase our model separating capacity 1,4 times, adding to the predictive model combinations of variables related to user behaviour on the web-site. For example, cursor distance covered, cursor movement speed, time spent on a web-page, screen idle time, and device quality segmentation.”

Dmitry Mikolauskas also noted “According to A/B test results of the predictive model, which included JuicyScore latest generation technologies, the updated version showed significant effect, which let us to increase new applications approval rate 1,5 times, given that risk management metrics remained at the same level.”

Group of companies ID Finance is currently cooperating with JuicyScore in Mexico and a number of other countries, for JuicyScore had already showed a great performance on the markets of Asia and Europe. JuicyScore distinctive feature is unique devicometry technologies, that help to build probabilistic device fingerprint and device authentication as well as does not store, process or even uses online users direct identifiers. JuicyScore solutions really helps to thoroughly deal with the risks, occuring on a device level or within the frames of an internet session.

Alexander Akhlomov, Chief Product Officer at JuicyScore believes that despite the fact that LatAm bank lending market may be considered to be rather developed, millions of people living in this region still do not have access to traditional financial products. ID Finance offers financial products range designed for financial access improvement of an abundance of the so-called “unbanked” on “underbanked” population - i.e. those people, who do not have access to banking products or have a range of limitations. By means of technological development the company offers tailored solutions for the consumers and has strongly taken place of one of the leading fintechs in the region.

## What are the main advantages of such approach?

Natural persons' direct identifiers include identity document information, full name, full phone numbers, full bank cards numbers, photos, email addresses and other data sources, which allow to directly identify an individual or build a direct system of communications with a user. Despite huge investments of companies in IT infrastructure and organizational measures, in some cases direct identifiers, contacts and sensitive data breach may happen, which usually leads to reputational and financial losses for all the parties.

## About MoneyMan MX

ID Finance Mexico is an international fintech company offering term loans in various countries around the world. The MoneyMan brand, part of the group of companies, offers its customers a PDL product of up to MXN 15,000 with maturities of up to 90 days. The company deals with the issues related to financial inclusion in Latin America, being one of the key players in the region offering alternative lending products.

Technological agility helps fintech leaders to stand out from competition and increase the market share. Strong and reliable partners make this growth even more sustainable and significant. ID Finance in Mexico (MoneyMan brand - moneyman.com.mx) has been cooperating with JuicyScore, risk management and antifraud leader, for the last 3 years.

MoneyMan MX leverages JuicyScore to increase approval rate x 1.5 times

La alta competencia entre las empresas de tecnología financiera y su disposición a la transformación e innovación constantes permiten competir con éxito por el liderazgo en el segmento de préstamos y aumentar la participación de mercado. Los socios confiables ayudan a que este crecimiento sea más sostenible. La empresa internacional fintech ID Finance México (marca MoneyMan: moneyman.com.mx) coopera con JuicyScore, líder del mercado en gestión de riesgos y soluciones antifraude, desde hace aproximadamente 3 años.

En comparación con otras soluciones en el mercado, JuicyScore ofrece ventajas significativas: una identificación de dispositivo estable y un vector de datos altamente informativo, lo que finalmente permitió que la solución se convirtiera en una parte integral de la estrategia de toma de decisiones de la Compañía. Además, la solución permitió fortalecer significativamente el stack de tecnologías relacionadas con las tareas de prevención del riesgo de fraude y fortalecer los modelos de scoring de la Compañía.

¿Qué variables, cuando se incluyeron en el modelo, obtuvieron mejores resultados?

Dmitry Mikolauskas, Director de Riesgos de ID Finance México, compartió su experiencia con JuicyScore: “La implementación de una combinación de variables relacionadas con el comportamiento del usuario en el sitio, como la distancia recorrida por el cursor, la velocidad de movimiento del cursor, el tiempo que pasa en la página, el tiempo de inactividad de la pantalla , y una serie de otros parámetros, así como la segmentación del flujo basada en los atributos de calidad del dispositivo, hicieron posible el aumento de el poder de separación del modelo 1,4 veces”.


Dmitry Mikolauskas también señaló: “Según los resultados de la prueba A / B del modelo predictivo, que incluye la última generación de datos de JuicyScore, la versión actualizada mostró un efecto significativo, gracias al cual fue posible aumentar la tasa de aprobación de nuevas solicitudes 1,5 veces manteniendo los indicadores de gestión de riesgos en el mismo nivel."

El grupo de empresas ID Finance coopera con JuicyScore en México y en otros países del mundo, ya que la empresa ha demostrado su eficacia en los mercados de Europa y Asia como una solución antifraude y de gestión de riesgos de alta calidad, el sello distintivo son tecnologías métricas de dispositivos únicas que proporcionan la construcción de una huella digital probabilística del dispositivo y la autenticación del dispositivo, así como la falta de procesamiento de identificadores directos de los usuarios en línea. La solución de JuicyScore le permite comprender los riesgos que surgen a nivel del dispositivo o dentro de la sesión de Internet de la manera más detallada.

Alexander Akhlomov, director de productos de JuicyScore, cree que, a pesar de que el mercado de préstamos bancarios en América Latina está bastante desarrollado, millones de ciudadanos que viven en esta región, incluido México, todavía no tienen suficiente acceso a los productos financieros tradicionales. ID Finance ofrece una línea completa de productos financieros para ampliar el acceso a la financiación para un gran número de la llamada población no bancarizada o subbancarizada, es decir, la población que no tiene acceso a productos bancarios de calidad o tiene un acceso limitado: a través del desarrollo de tecnologías y la introducción de productos innovadores, la Compañía ofrece soluciones personalizadas para los consumidores y es uno de los principales actores del mercado en la región.

_¿Cuáles son las ventajas de no tener que almacenar ni procesar identificadores directos de usuarios reales?_

Los identificadores directos de personas incluyen datos como información sobre un documento de identidad, nombre completo, números de teléfono completos, números completos de tarjetas bancarias, fotografías, direcciones de correo electrónico y otras fuentes de datos que le permiten identificar directamente a una persona o construir un sistema de comunicación directa con el usuario. A pesar de las enormes inversiones de las empresas en infraestructura de TI y medidas organizativas, lamentablemente no son raros los casos en que identificadores directos, contactos y datos confidenciales caen en manos de estafadores. Todo esto puede provocar pérdida de información y pérdidas económicas para todos los participantes en el proceso.


_Acerca de MoneyMan MX_

ID Finance México es una empresa fintech internacional que ofrece préstamos a plazo en todo el mundo. La marca MoneyMan, parte del grupo de empresas, ofrece a sus clientes un producto PDL de hasta MXN 15,000 con vencimientos de hasta 90 días. La empresa aborda temas relacionados con la inclusión financiera en América Latina, siendo uno de los actores clave en la región que ofrece productos crediticios alternativos. Los microcréditos ocupan su lugar en el mercado de servicios financieros y las organizaciones de microfinanzas se han convertido en una institución importante capaz de resolver muchos problemas sociales y económicos.


La alta competencia entre las empresas de tecnología financiera y su disposición a la transformación e innovación constantes permiten competir con éxito por el liderazgo en el segmento de préstamos y aumentar la participación de mercado. Los socios confiables ayudan a que este crecimiento sea más sostenible. La empresa internacional fintech ID Finance México (marca MoneyMan: moneyman.com.mx) coopera con JuicyScore, líder del mercado en gestión de riesgos y soluciones antifraude, desde hace aproximadamente 3 años. 

MoneyMan MX aumenta 1.5 veces su tasa de aprobación con JuicyScore

MoneyMan MX与JuicyScore一起将批准率提高了1.5倍

先买后付（BNPL）的市场在迅速增长，吸引越来越多的新投资者。根据研究公司 [Grand View Research] 的数据，到2028年全球先买后付（BNPL）市场的总规模将超过204亿美元。


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BNPL market is now growing by leaps and bounds and investors keep showing that they are really interested in it. According to [Grand View Research](https://www.grandviewresearch.com/press-release/global-buy-now-pay-later-market?ref=juicyscore.com), by 2028 market size is expected to reach 20.40 billion USD.

## How BNPL solutions work?

BNPL (Buy now, pay later) basic scenario is the following: a client purchases goods on the web-site or in the store and pays in installments over the next 2-12 months. A wide range of goods can be purchased this way, ranging from basic consumer goods, such as food, clothes or children’s goods up to brand-name goods and jewellery.

Despite a slight marginality reduction, retailer has the opportunity to push up the sales substantially as well as to improve access to the goods offered. The average check and resale chances also increase immensely.

BNPL solutions are a great alternative to credit cards, which allow customers to make a purchase and pay for it in instalments later. Revo Technologies (the owner of [Mokka](https://mokka.ro/?ref=juicyscore.com) brand) is the largest BNPL company, operating in Russia and Central Europe since 2012\. Today the experts shared their experience of cooperation with [JuicyScore](https://juicyscore.com/en/about/?ref=juicyscore.com), one of the leading risk management and anti-fraud solutions provider.

According to Sergei Bogdanov, Chief Risk Officer at Revo Technologies, “We chose JuicyScore, because it had already showed a great performance on the market and highly experienced team helped us to adapt the data to our processes and product specific features.”

## How easy was the integration?

Integration was set up in two stages. We put the finishing touches to the widget, where we also included JavaScript from JuicyScore. Via this widget we managed to collect information necessary for JuicyScore service operation right on our iframes, integrated with retailer’s platform, at the moment of making a purchase. For Mokka mobile application JuicyScore SDK integration was set up in order to collect primary device and behavioural data. In web and mobile channels this information is sent to JuicyScore API and we get the response at once - statistics on device and user behaviour.

## What results have been achieved?

According to Sergei Bogdanov, JuicyScore data helps to achieve significant savings. For instance, in 2021 we managed to save 500 thousand USD. JuicyScore allows to cut off 2-3% of application flow with average risk of 30-40%.

JuicyScore helps to mitigate operational risks really well, in this regard we use stop factors related to frequency characteristics. For example, the number of applications or requests from the same device or virtual user with a certain time periodization, which had been observed previously as well as the variables, verifying the probability of application sending from foreign IP addresses (by verification of the real IP address and/or DNS server location), - it considerably helps to mitigate fraud risk and the number of defaulted debts.

Apart from that, markers of additional verification are widely used. For example, the marker of data manipulation (email login or phone number in reduced format) in comparison to the previous application, sent from the same device. The use of suspicious plugins and specific browser settings installed on the device also refers to additional verification and applied in the model.

Some variables allow to set up a score value for conservative fraud policies or more aggressive ones in terms of risk. Besides, those variables help in such cases when credit bureau data is not enough or data provided is rather low quality.

On addition to the use case provided, we would also like to highlight a few BNPL trends that characterise the market.

## What BNPL-trends are going to affect business in the nearest future?

Despite that fact that BNPL-platforms currently occupy only 2 percent of lending market, it is quite obvious that BNPL industry will continue to grow, since the need in goods is essential.

In the wake of e-commerce grow (in 2021 market grew by 32% in Russia and exceeded 4 trillion rubles), the need for BNPL solution also grows immensely. One more factor, which affects the growth is the increasing popularity of such services among the young people, who sometimes do not have access to alternative banking solutions due to insufficient credit history.

On the one hand, BNPL market will face rather tough competition, on the other hand, leading companies and key players, which pay great attention to mobile application development and tools for payments tracking designing as well as provide customers with new high-quality solutions for b2c and b2b, are going to win the market in the long run.

Juicy Team continues to maintain a high pace of development and delight our customers and partners with new product functionality, for one can ensure high competitiveness and business safety only through efficient and hard work in a dynamic digital world.

BNPL market is now growing by leaps and bounds and investors keep showing that they are really interested in it. According to Grand View Research  , by 2028 market size is

“Revo Technologies” BNPL company success story along with JuicyScore

“Revo Technologies” 先买后付（BNPL）公司和JuicyScore在一起的成功案例

冠状病毒病 (Covid-19)从根本上影响到网上商业的发展， 尤其是卫生领域引起了很大的关注。 
据专家的评价， 与印度卫生有关的BNPL （先买后付）市场将快速发展， 因为印度居民每年约有价值1200亿美元的医疗支出，增长率为15%。


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Covid-19 pandemic has fundamentally affected the development of many online and offline businesses and healthcare has become an area of massive interest. [Experts believe](https://timesofindia.indiatimes.com/blogs/voices/the-rise-of-bnpl-services-in-india-and-how-it-is-revolutionising-healthcare-sector/?ref=juicyscore.com) that embedded finance platforms for healthcare in India are much needed given that out of pocket expense is very high and insurance penetration is among the lowest in the world. According to experts, Indian healthcare expense is estimated to be around $120 billion per annum and is growing at the rate of 15 % every year. The government has already shown its support encouraging startups to create leading-edge solutions in order to provide people with affordable high-quality medical services.

Embedded finance platforms in India are expected to be one of the largest contributors to retail payments in the country due to tremendous usage and high frequency. Today the experts from the first healthcare finance solutions in India SaveIN will share their experience of cooperation with [JuicyScore](https://juicyscore.ai/en/about/?ref=juicyscore.com), one of the leading risk management and anti-fraud solutions provider.

## How embedded finance solutions work?

Embedded finance healthtech solutions allow customers to make avail healthcare products and services at clinics and pay for the same in simple zero/low cost EMIs. Basically, the customer can split the cost of treatment or service , while embedded finance player pays the healthcare partner upfront, net of commission/fee/subvention, on behalf of the customer who is borrowing money for availing such service. The customer, in turn shall return the full amount to the embedded finance company in the prescribed time period

In case of SaveIN , It caters to healthcare needs by offering financing and credit options to patients at zero-cost equated monthly instalments (EMIs) across its network of healthcare providers. The fintech startup is creating a network of healthcare providers to offer embedded finance and pay-later options at merchants and clinics in healthcare business across the country and plays a very important function of developing an innovative model of online lending in healthcare.

## Cooperation with JuicyScore

The companies launched a pilot project in the first quarter of 2022\. The robust and stable device ID and JuicyScore data vector informativeness has significantly strengthened the company's risk technology stack and has already proven to be effective in identifying a number of aspects related to fraud risk prevention and score models significant improvement.

The scoring model was developed on the basis of issued loan applications, which may serve as an illustration how JuicyScore data can be used to develop new predictors and score models based on data received from the client.

SaveIN intends to use JuicyScore alternate data to better understand and control fraud and credit risk at very early stage of the customer journey. The variables provided by JuicyScore will help SaveIN to filter out high risk applications in the funnel.

During the pilot, device behaviour markers were widely used - an aggregated index from JuicyScore standard output data vector, which includes risk markers, combination of user behaviour and device markers characteristics. For example, a combination of secondary risk markers and device anomalies, where each anomaly individually may indicate a possible risk that should be taken into account when verifying a borrower, and their combination, if triggered simultaneously, which highlights a high-risk area.

In addition, other IDX variables, created with deep machine learning algorithms were widely used. For example, a variable that is a combination of 50+ rare events, which show high probability of fraud through technical manipulation of the device. This variable includes the whole variety of device randomization tools, techniques of interference into "digital fingerprint" as well as determines the most dangerous markers of user high risk behaviour and network connection markers. The variable can be used both in rules and also as a component of a fraud prevention model to identify the most dangerous customer segments. The risk level raises along with the parameter value, high values may be used as filters for automatic denial.

## Why JuicyScore data is so valuable for embedded finance platforms? 

Due to the combination of digital risk management and antifraud solutions, as well as high information value along with fair pricing approach, our clients achieve 10x ROI on the cash flow, adding 5+ Gini points to decision engine score models. Wide data vector based on proprietary technologies of data collection, processing and engineering in combination with embedded external services help our clients to grow much faster than most of the competitors.

# About JuicyScore

JuicyScore company was established in 2016\. It provides technological solutions for fraud prevention in online-business and financial products risks reduction, it also provides customized score, analytics and consult on score modeling and decision making system in 17 countries all over the globe. All the solutions are customized due to the clients need providing analysis of data flow and score. The main feature of JuicyScore is that personal or sensitive data as well as direct user identifiers are not used, which has certain positive impact on the clients' reputation. The company is compliant to EU legislation on personal data (GDPR) all the device authentication technologies and data algorithms are proprietary, the company has 4 patents.

## About SaveIN

SaveIN has a vision of creating India’s largest integrated healthcare ecosystem powering access, quality and affordability in private healthcare.

SaveIN is a healthcare focused financial technology platform that aims to facilitate timely and quality healthcare for Indians with enhanced affordability. The company has created class leading embedded finance solution for healthcare providers and has created a pan-India network of thousands of healthcare providers while growing rapidly since its launch in January 2022.

Globally, SaveIN mirrors the business models of US-based Sunbit, Walnut and Scratchpay.

Covid-19 pandemic has fundamentally affected the development of many online and offline businesses and healthcare has become an area of massive interest.  Experts believe   that embedded finance platforms for healthcare

JuicyScore helps to reduce risks: SaveIN, India's first embedded finance platform for healthcare use case

JuicyScore 如何帮助第一印度卫生BNPL （先买后付）服务降低风险

不管我们最近几年看见的是金融科技的迅速发展， 只有强大的和可靠的合作伙伴才能帮增长变得更稳定的、更有意义的。 


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Amid rapid economic growth of fintech industry which we have witnessed for the last few years, strong and reliable partners make this growth even more sustainable and significant. JuicyScore started a very successful collaboration with ATM online - one of the leaders of online lending industry. The group companies conduct very remarkable and successful activities in Vietnam and in a number of other countries in South and Southeast Asia.

## Cooperation with JuicyScore

The companies started cooperation in the second half of 2020 by launching a pilot project in Vietnam on a new credit applications flow. Sustainable and stable device identifier as well as the informativeness of data vector of JuicyScore solution helped to create stronger risk technology stack and to deal with several challenges related to fraud risk prevention as well as enhanced company's scoring models.

The key result of the pilot project is implementation of score and a range of other vector parameters in antifraud model and borrowers' credit risk assessment; since February 2021 ATM Online launched JuicyScore product commercial use on their platforms in Vietnam.

As a part of fraud prevention JuicyScore made it possible to filter out the applications with evidence of high risk and commercial fraud.

According to Denis Aleksandrov, Risk Director of ATM Online Group in Asia, “Data vector parameters, such as combination of user online behaviour markers, combination of markers of internet connection quality, device technical parameters have been included in credit risk assessment models, which allows to add 5 Gini points to the model resolution. Among with implementation of antifraud rules based on JuicyScore device identifier it also reduced the level of credit risk as well as yielded in quick ROI during the first months of cooperation (expected 5 times ROI with strategy further adjustment on 6-month horizon)."

JuicyScore also helped to reduce the level of commercial fraud significantly.

## About JuicyScore

JuicyScore company was established in 2016. It provides technological solutions for fraud prevention in online-business and financial products risks reduction, it also provides customized score, analytics and consult on score modeling and decision making system in 17 countries all over the globe. All the solutions are customized due to the clients need providing analysis of data flow and score. The main feature of JuicyScore is that personal or sensitive data as well as direct user identifiers are not used, which has certain positive impact on the clients' reputation. The company is compliant to EU legislation on personal data (GDPR) all the device authentication technologies and data algorithms are proprietary, the company has 4 patents.

## About ATM online

ATM online is an international online lending company that offers customized consumer loans with the single-platform solution. The company was established in 2015. The service is based on the latest technologies such as holistic scoring and highly predictive models. The service has over 500,000 registered users and is growing immensely - today's credit portfolio reaches 7 mln USD. Retention rate of the company is extremely high: 9 out of 10 customers come back to take another loan. ATM online integrated all major payment channels, such as Payoo, Viettel and bank transfers.

Amid rapid economic growth of fintech industry which we have witnessed for the last few years, strong and reliable partners make this growth even more sustainable and significant. 

Two times 5 in Vietnam: +5 Gini to the models, 5x data ROI. ATM Online case study

越南的成功案例：ATM online的案例

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