Riskified Organic Growth Opportunities

Create the first public, SEO-indexed portal for looking up fraud and authorization rates by Bank Identification Number (BIN) and card issuer. This play captures ultra-specific, high-intent searches from payment operations teams investigating performance issues.

Example Keywords

• "fraud rate BIN 4147"
• "[issuer] approval rate ecommerce"
• "low auth rate [bank]"
• "wells fargo visa chargeback trends"

Rationale

Merchants and payment teams frequently Google individual BINs or issuers when they observe performance spikes or dips, but no vendor currently provides public, SEO-indexed pages to answer these queries. By creating a comprehensive lookup tool, Riskified can capture this high-intent traffic and directly introduce its 'Auth Rate Enhance' product to users at their exact moment of need.

Topical Authority

Riskified processes billions of transactions annually, giving it an unparalleled view into issuer-level performance. Leveraging this proprietary data establishes undeniable topical authority on issuer and BIN behavior that competitors cannot replicate, turning a black box into a public resource under the Riskified brand.

Internal Data Sources

Utilize the internal ledger of billions of transactions to extract issuer-level authorization percentages, fraud rates, false-decline rates, and seasonality curves. Incorporate the proprietary 'Issuer Confidence Score' already used in-product and supplement with partner PSP metadata on regional routing and fees.

Estimated Number of Pages

1,200-1,500

Develop a comprehensive atlas detailing the specific fraud, approval, and policy abuse risks for high-volume cross-border e-commerce corridors. This strategy targets high-value merchants planning international expansion who are actively researching the risks of new markets.

Example Keywords

• "fraud rate UK to UAE ecommerce"
• "[origin country] to [dest country] card approval rate"
• "cross-border corridor chargeback risk"
• "mexico to us digital goods policy abuse"

Rationale

Payment and strategy teams constantly Google corridor-specific statistics before launching in new markets, but no public index for this information exists. By creating the definitive atlas for this data, Riskified can become an essential resource in the international expansion planning process for every major e-commerce brand.

Topical Authority

Because Riskified's platform sees both sides of a transaction (the shopper's location and the merchant's), it possesses true cross-border visibility that is unique and defensible. Publishing this data on a per-corridor basis demonstrates a level of global intelligence that establishes clear authority and builds trust with enterprises focused on international growth.

Internal Data Sources

Leverage aggregated data on authorization percentages, fraud rates, shipping-billing mismatch rates, and AVS hit-rates, all segmented by payment corridor (origin and destination country). Incorporate data on customs/HS code denial correlations and currency conversion friction metrics to provide a multi-faceted view of risk.

Estimated Number of Pages

1,500-1,800

Build the definitive encyclopedia of chargeback reason codes, uniquely enriched with empirical data on merchant win-rates by industry and region. This play captures traffic from merchants actively fighting chargebacks and looking for data-driven strategies to improve their success rate.

Example Keywords

• "win rate visa reason code 10.4"
• "how to fight mastercard 4853 chargeback"
• "[reason code] evidence template"
• "merchant win rate amex reason code c08"

Rationale

When a merchant receives a chargeback, they immediately search for the specific reason code to understand how to fight it. Current SERPs are dominated by generic legal blogs, none of which provide empirical data on the likelihood of winning. By publishing its proprietary win-rate data, Riskified can provide unparalleled value and establish itself as the authority on dispute resolution.

Topical Authority

Riskified's Chargeback Guarantee product means it has processed and logged the outcomes of millions of disputes. This historical ledger of win/loss outcomes is an exclusive dataset that no competitor is willing or able to share publicly, giving Riskified unassailable topical authority on the subject.

Internal Data Sources

Use the historical dispute ledger to extract win vs. loss percentages, average recovery amounts, and dispute cycle times, all segmented by reason code. Summarize anonymized text from successful evidence packets to create 'what worked' guides and leverage analytics from the 'Dispute Resolve' product.

Estimated Number of Pages

550-650

Launch a 'news-desk' style content hub that tracks and reports on e-commerce fraud outbreaks on a weekly basis, creating a historical archive of trends. This positions Riskified as the go-to source for timely threat intelligence, attracting operators, analysts, and journalists.

Example Keywords

• "ecommerce fraud outbreak [month/year]"
• "recent fraud trends [vertical] week [##]"
• "gift card cash-out spike [country]"
• "triangulation fraud spike july 2024"

Rationale

Currently, merchants rely on informal channels like Twitter, Slack, and forums to learn about emerging fraud spikes, as no indexed, reliable source exists. By systematically detecting and reporting on these anomalies, Riskified can create a 'news-like' freshness signal that Google's algorithm favors, capturing high-intent traffic and generating valuable backlinks from security and e-commerce publications.

Topical Authority

With a data stream from nearly two billion annual transactions, Riskified's platform can detect anomalous fraud clusters faster and more accurately than any public source. Publishing these findings demonstrates a command of real-time data and deep analytical capability, solidifying authority as a leader in fraud intelligence.

Internal Data Sources

Utilize a live anomaly-detection feed that calculates z-scores for fraud tactics against an 8-week baseline. Enrich this data with device, BIN, and geographic fingerprints for clustering, and inject narrative color by summarizing transcripts from internal fraud analyst 'war-room' Slack channels.

Estimated Number of Pages

1,000+

Create a series of content hubs dedicated to fraud benchmarks for specific e-commerce verticals like fashion, electronics, and luxury goods. This strategy targets high-level decision-makers (VPs of E-commerce, Fraud Ops) with tailored, data-rich reports that address their industry's unique challenges.

Example Keywords

• "[industry] fraud rate"
• "[industry] chargeback benchmark"
• "prevent fraud in [industry] online store"
• "fashion refund abuse statistics 2025"

Rationale

High-intent, long-tail queries for industry-specific fraud data are currently underserved, with no dominant owner in the SERPs. By publishing hard numbers and benchmarks by vertical, Riskified provides immense value to operators and positions itself as the only vendor with this level of granular, actionable intelligence, directly aligning with the pain points of its ideal customers.

Topical Authority

Riskified's existing library of case studies across dozens of verticals (e.g., Meshki in fashion, Costway in home goods) already substantiates its expertise. Systematizing this knowledge into benchmark reports, powered by proprietary data, is a natural extension that solidifies topical authority and proves its solution is effective across the entire e-commerce landscape.

Internal Data Sources

Leverage aggregated and anonymized transaction data to provide metrics like fraud rates, false-decline rates, and refund-abuse share, all segmented by industry (SIC code). Incorporate quantitative metrics and direct quotes from existing case studies and use data from internal market research surveys.

Estimated Number of Pages

350-400

Improvements Summary

Revise and expand key chargeback protection pages to target high-value keywords, improve on-page SEO, and add structured data. Strengthen internal linking, update comparison content, and introduce new assets like a calculator tool and case study hub.

Improvements Details

Rewrite H1s and title tags to front-load primary keywords such as 'chargeback protection' and 'chargeback guarantee.' Expand the product page to 1,500-1,800 words with detailed features, case studies, and a robust FAQ section using FAQPage schema. Update the comparison guide with more vendors and a scoring methodology, add a Spanish subsection, and implement internal links from all cluster pages to the main pillar. Add product and FAQ schema, improve page speed, correct canonical tags, and pitch new content for backlinks.

Improvements Rationale

These actions address low traffic share despite strong keyword opportunities by aligning content structure and depth with user intent and SERP features. Improved keyword targeting, richer content, and better internal linking will help move pages from page 2 to page 1, increasing visibility and demo requests. Structured data and technical fixes support higher rankings and featured snippet eligibility.