Shieldryx helps online review & delivery businesses detect fake engagement, promo-abuse, refund abuse and problematic deliveries before it impacts revenue, using cross-platform intelligence.
Fake engagement
Online review and delivery platforms are increasingly targeted by fake engagement, including fabricated reviews, ratings, comments, and order activity. Malicious actors ranging from competitors to fraud networks, manipulate user-generated content to artificially boost visibility, damage reputations, or exploit trust-based systems. These fake signals distort platform algorithms, mislead customers, and degrade the quality of recommendations.
Impact: Loss of customer trust, distorted search and recommendations algorithms, reputational damage, platform devaluation, higher operational costs, skewed analytics, legal and regulatory risk, higher return rates.
Fake engagement—such as fabricated reviews, ratings, orders, and social signals—poses a multi-billion dollar threat to online review and delivery platforms globally: Fake online reviews influence over $152 billion in global consumer spending annually, misleading customers into purchases that often fail to meet expectations (Source: World Economic Forum). Up to 34% are fake (Source: Harvard Business School, ReviewTrackers). Higher return rates are 3x more likely to return an item, contributing to an estimated $18 billion in return-related losses globally (Source: NRF, Statista, Trustpilot Fraud Index).
Fake engagement - how Shieldryx can help
Shieldryx combats fake engagement by identifying and neutralising the misuse of digital identities across your platform and beyond. Instead of relying solely on surface-level content moderation, Shieldryx analyses user behaviour, account history, device fingerprinting, and cross-platform identity signals to detect when reviews, ratings, and order activity are artificially generated or manipulated. This allows platforms to uncover fake accounts, whether created by fraud networks, bots, or competitors and disrupt coordinated campaigns before they influence rankings or damage reputations. By revealing connections between seemingly legitimate users who share behavioural anomalies or patterns of abuse,
Shieldryx mitigates the wide-ranging impact of fake engagement by exposing fraudulent users, synthetic identities, and coordinated abuse across platforms—before they distort your ecosystem. By validating users through behavioural, device, and cross-platform identity intelligence, Shieldryx helps platforms maintain authentic reviews and ratings, preserving customer trust and the integrity of recommendation algorithms. This reduces reputational risk for both the platform and its merchants, while preventing platform devaluation
With fake reviews influencing over $152 billion in annual consumer spend and driving an estimated $18 billion in return-related losses, platforms need more than surface-level moderation. Shieldryx uses advanced identity graphing, behavioural analytics, and device intelligence to detect when reviews, ratings, and orders are being generated by bots, synthetic accounts, or fraud networks. By uncovering these patterns across platforms, not just from a single platform, Shieldryx stops coordinated manipulation before it distorts customer decisions, recommendation engines, or brand reputation. This not only helps reduce return rates driven by deceptive claims but also protects platform integrity, rebuilds trust, and delivers more credible engagement to users and advertisers alike.
Promo-abuse
Online review and delivery platforms are increasingly targeted by promotion abuse, where users, both opportunistic and fraudulent, exploit discount codes, referral bonuses, and first-time customer offers multiple times using fake or duplicate accounts. These tactics are often automated using bots or coordinated fraud networks, allowing bad actors to bypass standard checks and claim promotions at scale.
Impact: Revenue loss, inflated customer acquisition costs (CAC), skewed campaign performance, undermined loyalty programs, operational disruption, degraded user trust.
Promotion abuse is a rapidly growing threat and contributes to an estimated $5–10 billion in global losses annually (Source: Forter, Riskified, Merchant Risk Council, 2024). Up to 20% of promo codes are redeemed fraudulently (Source: Riskified Promo Abuse Report). Promo-abuse can consume 10–25% of the total promotional budget.
Promo-abuse - how Shieldryx can help
Shieldryx helps eliminate promotion abuse at its source by identifying and linking user identities across accounts, devices and platforms, stopping fraudsters before they can repeatedly exploit promotions. Rather than relying on email addresses, IPs, or basic fingerprinting, Shieldryx uses advanced identity intelligence, behavioural signals, and cross-platform correlation to detect when users are gaming referral systems, reusing promo codes, or pretending to be “new customers.” This allows platforms to block fake or duplicate accounts, whether created manually or via bots, before promotional offers are applied.
Shieldryx mitigates the downstream impact of promo-abuse by targeting the identity layer, stopping fraud before it distorts performance or drains your promotional budget. By detecting duplicate, fake, or bot-controlled accounts in real-time, Shieldryx prevents revenue loss from repeated discount claims and enforces true eligibility for incentives. This protects customer acquisition costs (CAC) from artificial inflation and ensures campaign performance data reflects real, high-quality user engagement. Shieldryx also strengthens the integrity of loyalty and referral programs, reducing abuse while keeping genuine users rewarded.
With promo-abuse contributing to $5–10 billion in global losses and up to 25% of promotional budgets wasted, Shieldryx delivers significant ROI by identifying when seemingly unique users are actually part of coordinated fraud networks or duplicate identities. Using real-time identity intelligence, behavioural signals, and cross-platform recognition, Shieldryx detects repeat offenders whether they use bots, email aliasing, or device spoofing and blocks them from accessing discount codes, referral bonuses, or “first-time” offers. This ensures that marketing spend is directed only to legitimate users, reducing acquisition waste, protecting margins, and restoring trust in performance data at scale.
Refund abuse
Online review and delivery platforms are increasingly impacted by refund abuse, where customers, opportunistic and fraudulent, these users exploit lenient return and refund policies to gain undue reimbursements. This includes tactics like falsely claiming non-delivery, tampering with product condition, or repeatedly requesting refunds using multiple accounts. In many cases, bad actors use bots, spoofed identities, or coordinated networks to avoid detection and maximise payouts. These behaviours lead to lost revenue, increased operational costs, strained support teams, and a growing mistrust between platforms, merchants, and customers. Traditional fraud systems often fail to detect repeat abuse spread across different accounts or platforms.
Impact: Revenue loss, inflated opertional costs, higher chargeback rates, repeat abuse across platforms, policy pressure, distorted risk models, erosion of trust.
Refund abuse is a growing global threat to online review and delivery platforms with global losses due to refund abuse are estimated to exceed $3.5 billion annually (Sources: Merchant Risk Council, Forter Industry Benchmark, Riskified, 2024). Up to 10–15% of all refund requests are believed to be fraudulent or opportunistic (Source: Riskified & Phocuswright).
Refund abuse - how Shieldryx can help
Instead of relying solely on surface-level signals like email addresses or device IDs, Shieldryx builds a deep understanding of user behaviour and identity over time, even when fraudsters attempt to mask themselves using bots, alias accounts, or coordinated networks. By linking seemingly separate refund claims back to the same underlying user or behaviour pattern, Shieldryx enables platforms to stop repeat abuse at the source. This allows customer support and fraud teams to make smarter decisions, reject suspicious claims proactively, and reduce the burden of manual investigations.
Shieldryx stops repeat offenders from abusing refund systems under new or hidden identities—dramatically reducing revenue loss and the operational cost of repeated claims. With its behavioural intelligence and identity graphing, it flags chargeback-prone behaviours early, allowing teams to proactively prevent abuse before it escalates. Shieldryx also protects platforms from distorted risk models by providing clearer visibility into user authenticity and intent.
Shieldryx helps reduce the $3.5+ billion in global refund abuse losses by exposing and stopping identity-driven fraud before it drains operational and financial resources. With up to 15% of refund requests deemed fraudulent, platforms need more than rule-based systems to combat repeat offenders. Shieldryx leverages advanced identity resolution and cross-platform behavioural analysis to link multiple refund claims, no matter how well-disguised, back to the same underlying actor or fraud pattern. This allows platforms to flag and block repeat abusers, fake accounts, and coordinated refund networks in near real time. By preventing illegitimate claims before they are approved, Shieldryx significantly reduces refund payouts, lowers chargeback risk, and ensures promotional and policy-driven generosity is protected for legitimate customers—directly addressing the financial root of global refund fraud. Shieldryx uses its data and automated APIs to detect threats early, giving you the power to act before incidents even happen.
Problematic deliveries
Online review and delivery platforms are increasingly challenged by problematic deliveries, including late arrivals, failed drop-offs, false non-delivery claims, and manipulated delivery confirmations. These incidents are often caused or exploited by bad actors—such as users submitting fraudulent claims, drivers gaming the system, or coordinated networks abusing refund and loyalty policies. Traditional systems struggle to verify the legitimacy of complaints, especially when identity fraud and repeat abuse are involved.
Impact: revenue loss, increased refund and chargeback volume, policy exploitation, merchant strain and attrition, distorted performance metrics, operational burden.
Problematic deliveries are costing online review and delivery businesses billions annually estimated to exceed $6 billion per year (Sources: Riskified, Forter, Delivery Consumer Trust Index 2024). Up to 8–10% of all online orders result in a delivery complaint (Sources: Riskified, Forter, Delivery Consumer Trust Index 2024).
Problematic deliveries - how Shieldryx can help
Shieldryx helps platforms detect and prevent problematic delivery abuse by uncovering hidden patterns of identity misuse, repeat claims, and behavioural anomalies across accounts and platforms. By linking user activity across multiple identities—even when disguised with different emails, devices, or IPs—Shieldryx enables platforms to identify users or networks systematically submitting false delivery claims or exploiting refund policies.
Shieldryx helps online review and delivery platforms reduce their share of the $6+ billion in global losses caused by problematic deliveries by exposing repeat abuse and fraudulent behaviour hidden behind fragmented identities. With up to 10% of all online orders generating delivery complaints, many unverifiable or opportunistic, Shieldryx uses advanced identity intelligence to connect related claims across aliases, accounts, and behaviours, enabling platforms to block repeat offenders, bots, and manipulation networks in real time. By preventing false non-delivery claims and detecting policy abuse before payouts occur, Shieldryx dramatically reduces refund volume, chargebacks, and operational waste. It also empowers platforms to maintain more accurate delivery metrics and provide merchants with fairer resolution outcomes delivering measurable savings and restoring trust in the fulfilment process.
By resolving fragmented user identities even across multiple accounts and devices Shieldryx stops repeat offenders from exploiting refund policies or filing false non-delivery claims under new identities. This helps reduce revenue loss, lower refund and chargeback volumes, and prevent policy exploitation at the source. For merchants, Shieldryx strengthens fraud controls that prevent illegitimate claims being passed back to partners easing merchant strain, reducing attrition, and reinforcing trust in platform operations.
Additional benefits
Shieldryx can integrate into your existing order, returns, and customer service workflows. It enables real-time decisioning at checkout, account creation, or return request — so you can act before the loss happens.
By linking accounts over time, Shieldryx builds a timeline of user activity, exposing repeat abusers who exploit return policies seasonally or during major sales.