B2Proxy × Vmcard: Implementing "precision filtering" , more stable and cost-effective

<p><strong>Introduction:</strong></p><p>More and more campaign teams are using residential proxies to address the network challenges of "reach and stability." However, the other half of the variables that truly impact campaign effectiveness lie on the "payment side." When both network accessibility and payment continuity are managed simultaneously, the learning period is more stable, budgets are more controllable, and anomalies are easier to detect. This article will combine B2Proxy's residential proxies with Vmcard enterprise virtual cards to provide a practical dual-engine approach from "network to payment."</p><p><br></p><p><strong>I. Why is dual filtering at the "network layer + payment layer" necessary?</strong></p><p>1) Learning Period Continuity: Payment failures or risk control triggers can interrupt learning, leading to algorithm regressions and increased costs. A smooth network and stable payments ensure a complete learning period.</p><p>2) Budget Certainty: Giving channels/advertising groups independent payment vehicles (virtual cards) combined with daily, monthly, and transaction limits can prevent budget deviations at the first gate.</p><p>3) Troubleshooting Granularity: Dual-line targeting based on "IP/device fingerprint" and "card → ad group/creative" allows for faster identification of anomalies and more effective loss prevention.</p><p>4) Transparent Reconciliation: Card groups represent cost centers, with clear settlement across projects and clients, reducing redundancy and rework.</p><p><br></p><p><strong>II. B2Proxy × Vmcard Collaboration</strong></p><p>• B2Proxy is responsible for the "network layer": a stable residential proxy pool with multi-regional coverage, minimizing blockages and unnecessary risk control triggers.</p><p>• Vmcard is responsible for the "payment layer": providing enterprise virtual cards for scenarios such as Facebook/Google/TikTok/X, cloud services, and tool subscriptions, supporting multi-dimensional limits, card pool isolation, and detailed export.</p><p>• Collaboration Result: Campaigns have evolved from "whether they work" to "stable and accurate execution," maximizing budget investment on effective impressions and convertible audiences.</p><p><br></p><p><strong>III. Implementation Method: Integrate "Filtering" into Daily Campaigns in Three Steps</strong></p><p><br></p><p>Step 1: Create Card Groups (VMcards) by Channel/Market/Ad Group</p><p><br></p><p>— Bind each campaign group to a separate virtual card; manage test and volume cards in a hierarchical manner.</p><p>— Set transaction/daily/monthly limits, and automatically block transactions exceeding those limits.</p><p>— Naming convention: Channel-Ad Group-Purpose-Person in Charge (e.g., FB-Lead-US-Allen).</p><p><br></p><p>Step 2: Card Segment (BIN) Adaptation and Backup Routing (VMcards)</p><p>— Select the most suitable card segment for different merchants/regions and establish a primary/backup strategy.</p><p>— Automatically switch to a backup segment or lower the limit if the authorization success rate drops for two consecutive days.</p><p>— During major promotions or new market expansion, conduct a "small sample warm-up" before expanding the card pool.</p><p><br></p><p>Step 3: Network Node and Account Structure (B2Proxy)</p><p>— Plan the city and ASN distribution of residential agents based on the campaign area to reduce abnormal clustering.</p><p>— Set up independent agent pools for different placements/markets to avoid "single point anomalies dragging down the entire market."</p><p>— Map one-to-one with payment card groups for easy cross-review.</p><p><br></p><p><strong>IV. Key Metrics and Dashboard Recommendations</strong></p><p><br></p><p>• Payment Side: Authorization success rate (target ≥95%), revocation/rejection rate, top failed cards, top over-limit cards, and top refunded cards.</p><p>• Network Side: Successful request rate, fingerprint consistency, passive/active risk control trigger ratio, and regional/ASN distribution health.</p><p>• Attribution Side: Single card ROI, combined efficiency of card group, creative, and audience. Combine platform feedback and in-house BI for weekly review.</p><p>• Trigger Threshold Examples:</p><p><br></p><p>— Authorization success rate &lt;90% (for two consecutive days) → Switch card segments/adjust limits;</p><p>— Top failed card ratio &gt;20% → Review merchant adaptation and creative strategy;</p><p>— Increased agent anomalies in a certain region → Adjust node/ASN weights.</p><p><br></p><p><strong>V. Frequently Asked Questions (FAQs)</strong></p><p><br></p><p>Q1: Does Vmcard support payment collection?</p><p>A: No. Vmcard is a "payment-only" enterprise virtual card product used for top-ups and payments, not for payment collection.</p><p><br></p><p>Q2: Does it require complex system integration?</p><p>A: You can start with a lightweight process of "card group - limit - review." Once you're comfortable with it, connect to the API for automated card activation and reconciliation.</p><p><br></p><p>Q3: How can I ensure compliance?</p><p>A: Please use only for legal and compliant commercial and advertising scenarios; platform policies are subject to the respective official websites.</p><p><br></p><p><strong>Conclusion:</strong></p><p>When the network and payment platforms share the responsibilities of "filtering and routing," advertising becomes "replicable" rather than "hit-and-run." B2Proxy ensures more stable accessibility, while Vmcard ensures more accurate budgeting. Together, they can maximize investment in truly effective exposure and conversions.</p><p><br></p><p><span style="color: rgb(230, 0, 0);">After successfully registering and logging in, you'll first need to complete the card usage survey based on your needs.</span></p><p><span style="color: rgb(230, 0, 0);">Once you complete the KYC verification, your account will be automatically activated.</span></p>