Checkout.com Organic Growth Opportunities

Create a massive encyclopedia of pages, one for each 6-8 digit Bank Identification Number (BIN), detailing its issuer, country, and card type. Enrich these pages with proprietary performance data like approval rates and fraud scores to become the definitive resource for developers and fraud teams.

Example Keywords

• "bin 556865 country"
• "426684 visa debit details"
• "mastercard bin 535555 approval rate"
• "amex iin 377794 issuer"

Rationale

Developers, fraud analysts, and gateway engineers google individual BINs thousands of times per day to identify card origins and risk profiles. By providing the most detailed, data-rich resource on the web, Checkout.com can capture this high-intent traffic, which no competitor currently serves at scale.

Topical Authority

Checkout.com processes billions of transactions, giving it a unique and proprietary view into the performance of every BIN globally. Publishing this anonymized data establishes unparalleled authority and creates a resource that is impossible for competitors to replicate, solidifying Checkout.com as the expert in global payment data.

Internal Data Sources

Leverage internal BIN directories for card attributes, and fuse them with anonymized, aggregated data from the payment processing platform, including auth-rates, fraud-rates, and 3-DS friction scores. Card scheme files can provide interchange and product mapping, while product databases can supply issuer logos.

Estimated Number of Pages

120,000+

Programmatically capture and analyze the checkout flows of the world's top 10,000 e-commerce sites. Create a browsable gallery of these tear-downs, annotating each with data on payment methods offered, field validation, and UX patterns to attract product managers and designers.

Example Keywords

• "nike checkout ux analysis"
• "shein payment flow review"
• "best checkout for conversion 2024"
• "luxury ecommerce payment experience"

Rationale

Product managers, UX designers, and developers constantly research competitor checkout flows to inform their own design and conversion optimization efforts. By creating the world's largest, most detailed library of these flows, Checkout.com can capture massive top and mid-funnel traffic from an audience of potential buyers.

Topical Authority

While competitors may write one-off blog posts, no one has created a comprehensive, at-scale encyclopedia of checkout experiences. This play establishes Checkout.com as the authority on payment UX and conversion, creating a highly linkable asset that demonstrates a deep understanding of the merchant's ultimate goal: selling more.

Internal Data Sources

This play would use an automated headless-browser recorder to capture public web flows, storing DOM, screenshots, and timings. This external data can be enriched with internal conversion-rate benchmarks to compare flows against an 'ideal' and include links to Checkout.com's own UI components that replicate best-in-class patterns.

Estimated Number of Pages

10,000+

Build a comprehensive library of country-by-country guides that explain how to integrate and accept local Alternative Payment Methods (APMs). Each page will serve as the definitive resource for a specific method, such as Boleto in Brazil or BLIK in Poland, targeting mid-funnel developers and product managers.

Example Keywords

• "boleto bancário integration guide"
• "upi payment gateway for ecommerce"
• "blik payments for online stores"
• "multibanco api integration"
• "swish payment fees for merchants"

Rationale

As businesses expand globally, their developers and product teams search for specific, actionable guides on how to implement local payment methods. Checkout.com already supports over 150 APMs but has minimal content coverage, representing a significant opportunity to capture search traffic currently dominated by Stripe and Adyen.

Topical Authority

Checkout.com's existing support for a vast array of payment methods provides natural topical authority. By creating deep, technical content enriched with proprietary data, Checkout.com can prove its expertise and become the go-to resource for any business looking to enable local payments, moving beyond a simple feature list to a true knowledge hub.

Internal Data Sources

Inject API reference snippets and code samples directly from developer documentation. Differentiate content by including real, anonymized approval-rate benchmarks from the Checkout.com network, country-specific scheme rules from an internal knowledge base, and live screenshots from the merchant dashboard setup flow.

Estimated Number of Pages

1,800+

Create a comprehensive troubleshooter with a dedicated page for every API error string and webhook failure code. These pages will diagnose the problem and provide copy-paste code fixes and links to relevant documentation, targeting developers in a moment of urgent need.

Example Keywords

• "webhook signature mismatch checkout"
• "error 409 payment duplicate request"
• "shopify checkout callback failed 500"
• "woocommerce api error code cko-gpe-101"

Rationale

When an integration breaks, developers search for the exact error message they see, representing a high-intent, problem-solving search query. By creating a first-party, SEO-optimized knowledge graph for every possible error, Checkout.com can capture this traffic, solve a developer's problem instantly, and build significant brand loyalty and trust.

Topical Authority

Competitors often rely on scattered community forums or generic documentation for error handling. By providing official, data-enriched solutions, Checkout.com establishes itself as the most reliable and helpful platform for developers. This turns a negative customer experience (an error) into a positive brand interaction.

Internal Data Sources

Enrich each error page with anonymized incident data, such as error frequency and mean-time-to-resolve (MTTR), from internal monitoring tools. Automatically pull relevant code snippets from GitHub, link to pre-configured Postman collections for testing, and match error fingerprints to proven solutions from the internal support ticket knowledge base.

Estimated Number of Pages

1,200+

Develop an encyclopedia with a dedicated page for every card issuer decline code, such as '05 Do Not Honor' or '51 Insufficient Funds'. Each page will explain the code's meaning, common root causes, and actionable steps a merchant can take to fix it and recover the transaction.

Example Keywords

• "response code 203 meaning"
• "issuer decline 05 fix"
• "do not honor code 62 how to resolve"
• "visa decline code 14 merchant guide"

Rationale

Payment declines are a major source of lost revenue, and developers and operations teams frequently search for specific decline codes to understand and resolve them. While competitors offer generic lists, a deep, per-code diagnostic resource enriched with performance data would be a unique and highly valuable asset, capturing high-intent, bottom-funnel traffic.

Topical Authority

By processing billions of transactions, Checkout.com has a proprietary, data-driven understanding of why payments fail. Publishing this insight, such as approval rate deltas and recommended retry logic per code, demonstrates a level of expertise that competitors cannot match and positions the company as a leader in payment optimization.

Internal Data Sources

For each decline code, surface anonymized success/decline statistics from the data platform. Incorporate machine-learning insights from the Intelligent Acceptance product (e.g., 'best time to retry') and embed relevant log snippets from the merchant dashboard. Pull proven merchant fixes from the internal support knowledge base.

Estimated Number of Pages

800+

Improvements Summary

Revise and expand payment concept explainer articles to target exact-match keywords, add structured data, and strengthen internal linking. Launch a glossary hub, embed explainer videos, and introduce downloadable resources to improve rankings and user engagement.

Improvements Details

Rewrite H1s and meta tags to match primary keywords like 'payment reversal' and 'liability shift', add FAQ schema and comparison tables, and update content with long-tail modifiers. Internally link from high-authority pages and create a glossary hub with links to each term. Add explainer videos, downloadable PDFs, and new articles based on keyword gaps, while updating older posts with cross-comparisons and canonical tags.

Improvements Rationale

These actions address the mismatch between high search volume and low traffic by aligning content with user intent and search engine requirements. Structured data and internal links help capture featured snippets and pass authority, while new assets and regular updates increase topical relevance and user retention. This approach is expected to move articles from page 2 to page 1, driving significant organic traffic growth and supporting broader site authority.