Crypto.com Announces Updated App Referral Feature to Expand User Participation Across the Crypto.com Platform

bitcoinistPublished on 2025-12-15Last updated on 2025-12-15

Abstract

Crypto.com has announced an updated App Referral feature designed to expand user participation and enable both referrers and referees to earn up to US$100 in CRO rewards. The enhanced feature includes a dedicated dashboard for tracking referral activity and rewards, along with trading-based earnings that increase with referred users' trading volume. It also offers personalized sharing options for referral codes. The update emphasizes ease of use, transparency, and scalability, supporting Crypto.com's goal to mainstream cryptocurrency adoption. Both existing and new users can participate and benefit from the program.

Referral Feature to Enable Users to Earn and Track CRO Rewards Through App-Based Referrals

Crypto.com App Referral Feature
December 2025 – Crypto.com, a global leader in cryptocurrency services, today announced an updated App Referral feature to expand user participation across the Crypto.com platform and enable users to earn CRO rewards through app-based referrals.

The updated App Referral feature, which aims to allow users to earn CRO by inviting friends to join the Crypto.com App, marks a significant step in broadening participation in Crypto.com’s ecosystem. The referral feature is designed to provide users with clearer visibility into referral activity and reward progression, while enabling both existing and newly referred users to track CRO rewards more effectively within the app. Additionally, the updated feature prioritizes ease of use, transparent tracking, and scalable participation, making it accessible for a broad range of users.

“We are pleased to introduce updates to the App Referral feature to help expand user participation across the Crypto.com platform through a more structured and transparent referral experience,” said a Crypto.com representative. “The updated referral feature reinforces our commitment to providing users with clear tools to track rewards and engage more actively with the Crypto.com App.”

“Providing more ways for users to engage with cryptocurrency services remains central to our vision of further mainstreaming crypto,” said Eric Anziani, President and COO of Crypto.com. “The App Referral feature update enables users to participate more directly in the growth of the Crypto.com ecosystem while earning CRO rewards tied to referral activity.”

Under the updated referral feature, users can earn up to US$100 in CRO for every friend successfully referred to the Crypto.com App. The feature includes a dedicated dashboard, which allows users to track referred friends, monitor earnings milestones, and view total CRO rewards earned through referrals, all in one place. The updated dashboard provides a consolidated view of referral activity, enabling users to monitor progress more efficiently.

The referral feature also introduces trading-based earning, under which CRO rewards increase based on the trading activity of referred users. As referred users generate trading volume within the Crypto.com App, referral rewards progress accordingly, allowing for smoother reward accumulation and structured milestone tracking.

In addition, the updated referral feature provides more personalised ways to share referral codes and links, enabling users to distribute referrals more easily across supported channels. These updates are intended to allow users to grow their referral networks while maintaining a consistent and streamlined sharing experience within the app.

The referral feature update applies to both existing Crypto.com users and newly referred users. Referred users are also eligible to earn up to US$100 in CRO, track their reward progress more easily, and begin referring additional users themselves once eligible, expanding participation across the Crypto.com ecosystem.

This referral feature update follows Crypto.com’s continued efforts to enhance user experience and expand access to cryptocurrency services across its platform.

About Crypto.com

Founded in 2016, Crypto.com is trusted by millions of users worldwide and is the industry leader in regulatory compliance, security and privacy. Our vision is simple: Cryptocurrency in Every WalletTM. Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of users to participate in a more accessible digital ecosystem.

Learn more at https://crypto.com.

Related Questions

QWhat is the main purpose of Crypto.com's updated App Referral feature?

AThe main purpose is to expand user participation across the Crypto.com platform and enable users to earn CRO rewards through app-based referrals.

QHow much CRO can users earn for each successful referral under the updated program?

AUsers can earn up to US$100 in CRO for every friend successfully referred to the Crypto.com App.

QWhat new functionality does the dedicated dashboard provide in the referral feature?

AThe dedicated dashboard allows users to track referred friends, monitor earnings milestones, and view total CRO rewards earned through referrals in one consolidated view.

QHow does the trading-based earning component work in the referral program?

ACRO rewards increase based on the trading activity of referred users - as referred users generate trading volume, referral rewards progress accordingly.

QWho is eligible to participate in the updated referral program according to the announcement?

AThe referral feature update applies to both existing Crypto.com users and newly referred users, who can also earn rewards and refer additional users once eligible.

Related Reads

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit28m ago

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit28m ago

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit39m ago

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit39m ago

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit2h ago

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit2h ago

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit2h ago

Token Inefficient, Economy Tokenless

marsbit2h ago

Trading

Spot
Futures
活动图片