Trustly Organic Growth Opportunities

This play involves creating thousands of static pages, each targeting a specific Merchant Category Code (MCC) and geographic region. These pages will serve as pre-populated calculators showing how much a business in that niche would save by switching from card payments to Trustly's Pay-by-Bank solution.

Example Keywords

• “interchange fee mcc 7995”
• “credit card fees europe travel agency”
• “payment processing cost mcc list”
• “lower card fees gambling sites”

Rationale

Merchants are constantly searching for ways to reduce payment processing costs, which are a major pain point. By creating hyper-specific pages that directly address their industry and location with hard numbers, Trustly can capture extremely high-intent traffic from decision-makers actively looking for cost-saving alternatives.

Topical Authority

Trustly has access to real, proprietary blended fee data from merchants who have already onboarded. This allows them to create content with a level of accuracy and authority that generic financial blogs cannot match, establishing Trustly as the definitive source for payment cost analysis.

Internal Data Sources

Utilize internal pricing sheets, financial models from the onboarding process, and anonymized partner card statements to generate accurate savings projections for each page.

Estimated Number of Pages

9,000+ (600 high-volume MCCs × 15+ key regions)

This strategy creates a comprehensive library of comparison pages, pitting Trustly against every major global and regional payment method. Each page will be a standardized, data-driven showdown focusing on key decision-making criteria like fees, settlement speed, and fraud exposure.

Example Keywords

• “trustly vs paypal fees”
• “sofort alternative uk”
• “zelle for business international?”
• “fednow vs ach settlement speed”

Rationale

Comparison keywords represent bottom-of-the-funnel search intent from users who are actively evaluating their options and are close to making a decision. By creating dedicated pages for these queries, Trustly can intercept potential customers at the most critical point in their buying journey and directly address their competitive questions.

Topical Authority

While many sites offer opinions, Trustly is one of the few entities that possesses first-party, real-world performance data (like approval rates, net cost, and settlement times) across different payment rails. This unique data provides unmatched authority and credibility, making these comparison pages the most definitive resource on the web.

Internal Data Sources

Leverage internal transaction ledgers grouped by payment rail, Total Cost of Ownership (TCO) models from the finance team, and clustered pain points from support tickets related to competitor products.

Estimated Number of Pages

800+ (80+ global payment methods × 10+ key locales)

This play creates a definitive resource library with one page for every specific credit card decline and chargeback reason code. Each page will explain the error, why it happens, and present Trustly's Pay-by-Bank as the reliable, lower-risk alternative to prevent future failures.

Example Keywords

• “visa decline code 05 fix”
• “mastercard error code 14 meaning”
• “do not honor alternative payment”
• “chargeback code 4837 prevention”

Rationale

Card declines and chargebacks are a universal, high-cost pain point for any online merchant. Searches for specific reason codes indicate an immediate and urgent problem. By providing a clear explanation and a direct solution on the same page, Trustly can attract highly motivated merchants looking for a way to stop losing revenue.

Topical Authority

No other payment provider has built a comprehensive library that marries the problem (the error code) with a direct solution (their product). Trustly's ability to inject unique, anonymized data on issuer-level decline rates for cards vs. its own service provides a level of original insight that will be rewarded by search engines and valued by users.

Internal Data Sources

Use internal merchant dispute CSVs, aggregated issuer decline dashboards, and support team macros to provide context and data for each error code.

Estimated Number of Pages

660+ (Covering ~420 ISO 8583 decline codes + ~240 chargeback codes)

Develop a large-scale library of targeted guides for every major marketplace and gig-economy platform (e.g., Uber, Etsy, DoorDash). Each page will detail how that specific platform can leverage Trustly to solve common payout pain points like weekend delays and high processing fees for their earners.

Example Keywords

• “instant payout for uber drivers api”
• “faster payments for etsy sellers”
• “same day payout gig workers eu”
• “how to pay taskrabbit workers instantly”

Rationale

The gig economy and marketplace sector is a massive, growing market where fast, reliable payouts are a key competitive differentiator for attracting and retaining earners. Content targeting this niche is currently sparse, creating a significant opportunity for Trustly to position itself as the go-to provider for this complex, high-volume use case.

Topical Authority

Trustly already has a proven track record of handling high-volume, time-sensitive payouts in the online gaming industry. This existing expertise and infrastructure provide credible authority that can be directly translated to the gig-economy context, making Trustly a believable expert in the space.

Internal Data Sources

Use sandbox payout API examples tailored to different verticals, actual merchant settlement SLA charts to showcase speed, and internal compliance memos on worker payout regulations to add depth.

Estimated Number of Pages

2,000+ (250+ global gig/marketplace brands × 8+ key regions)

This programmatic SEO play involves creating a dedicated landing page for every single financial institution that Trustly supports globally. Each page will act as a hub with bank-specific information, including login flows, deposit limits, security messaging, and FAQs.

Example Keywords

• “instant bank transfer with Chase”
• “ACH alternative for Bank of America merchants”
• “open banking connection Wells Fargo API”
• “deposit from Navy Federal to sportsbook instantly”

Rationale

This strategy captures a massive volume of long-tail search traffic from both merchants and consumers looking for information about their specific bank. By creating a page for every institution, Trustly builds a wide net that reinforces its brand as a universally compatible and deeply integrated payment network.

Topical Authority

Trustly is uniquely positioned to execute this play because it already publishes lists of supported banks and owns the first-party performance data (like success rates and settlement times) for each one. No competitor or third-party comparison site can match this level of granular, proprietary data, giving Trustly an insurmountable authority advantage.

Internal Data Sources

Leverage merchant portal data for bank-level success/decline rates, engineering knowledge base for OAuth and flow diagrams, and consumer support tickets to source the most common questions for each bank.

Estimated Number of Pages

3,200+ (Covering ~2,300 U.S. institutions, ~500 EU banks, and ~400 in the rest of the world)

Improvements Summary

Consolidate competing support and contact pages into a single authoritative hub to address keyword cannibalization and improve search visibility. Optimize on-page elements, implement structured data, and expand with targeted sub-articles to capture all branded support queries.

Improvements Details

Redirect all overlapping URLs to /us/contact-support and set canonical tags to centralize authority. Update title tags, headings, and intro copy to target high-value keywords like 'trustly customer service' and 'trustly phone number.' Add ContactPoint and FAQ schema, create an FAQ accordion, and link out to new sub-articles for phone numbers and transaction issues. Strengthen internal linking from help articles and product pages, and improve technical SEO with faster load times and mobile-friendly contact options.

Improvements Rationale

Combining fragmented pages into one hub eliminates keyword cannibalization and focuses ranking signals, making it easier to outrank low-competition third-party sites. Structured data and clear contact information increase the chance of rich results and higher click-through rates. A streamlined user journey and improved accessibility will drive more organic visits and support future content growth.