Top programs are combining Socure Verify with consent-based SSN checks to resolve onboarding decisions, increase approvals, and reduce friction, without slowing trusted users down

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At fast-growing <a href="https://www.socure.com/industries/fintechs">fintechs</a> and <a href="https://www.socure.com/industries/banking">banks</a>, the hardest onboarding calls are the ones in the middle. Applications sail through when signals are strong and stall when they’re weak, but the challenge comes from the gray area in-between, where data appears plausible but not fully confirmed, and teams must balance conversion with caution.
<h3>Where eCBSV Fits When Signals are Unclear</h3>
Many programs are now incorporating a consent‑based SSN verification step using <a href="https://www.socure.com/products/identity-verification">Socure Verify</a> to confirm key identity details directly with a government source and bring clarity to uncertain cases.
The setup is straightforward. Firms run Socure Verify or Verify+ to assess identity, device, network, and behavioral signals, where most applicants pass without friction. When results remain ambiguous, the flow captures consent and checks that the name, date of birth, and SSN provided align with government-held records using <a href="https://www.socure.com/products/ecbsv">eCBSV </a>(Electronic Consent-Based Social Security Number Verification).
Some teams add a focused document step only for a small residual subset after a successful match, keeping mobile experiences fast and conversions high.
<h3>Cross‑Vertical Wins: Measurable Lift Without Blanket Friction</h3>
Results show measurable gains without blanket friction:
<ul>
<li style="font-weight: 400;" aria-level="1">Programs report up to a 6%+ lift in verification rates for Gen Z and other hard to verify populations when they gate eCBSV behind Verify at the top of the funnel.</li>
<li style="font-weight: 400;" aria-level="1">A large brokerage measured about a 4% approval lift after A/B testing the gate and scaling it to all traffic.</li>
<li style="font-weight: 400;" aria-level="1">A digital bank reported a 4.44% incremental approval gain when stepping up only borderline outcomes, which reduced manual reviews while rescuing legitimate applicants.</li>
</ul>
Investing apps have seen cohort-level gains. One program posted a:
<ul>
<li style="font-weight: 400;" aria-level="1">6.5% absolute approval lift at go-live</li>
<li style="font-weight: 400;" aria-level="1">48% increase for under-20 applicants after deploying new sources and eCBSV</li>
<li style="font-weight: 400;" aria-level="1">4.03% incremental lift for a minors-focused product line</li>
</ul>
Consumer platforms in gaming also reported gains, with:
<ul>
<li style="font-weight: 400;" aria-level="1">5% overall approval lift (rising to 9% for the 18-21 demographic)</li>
<li style="font-weight: 400;" aria-level="1">Loss-rates that held steady, even during volume spikes</li>
</ul>
<h3>What the Match Signal Changes for Approval Decisions</h3>
The benefit is the clarity of the match signal. A positive match supports confident approval, while a non-match is a decisive stop that prevents progression of applications with inconsistent or unverifiable information.
This added signal helps resolve uncertainty that can arise from incomplete or conflicting data, ensuring trusted users stay on the fastest path possible.
In addition to accuracy, speed is also critical. With <a href="https://www.socure.com/solutions/riskos">RiskOS™</a> orchestration, firms can seamlessly build workflows with 20+ Socure products and 100+ partner integrations in a no‑code layer, delivering real‑time risk decisions while enabling rapid testing, policy iteration, and change rollouts without heavy engineering lift.
The design lets decisions tie to specific cohorts and steps in the flow, making results easier to validate, measure, and govern.
<h3>The Winning Combination</h3>
Leading programs are following a clear pattern:
<ul>
<li style="font-weight: 400;" aria-level="1">Keep trusted users on a light path.</li>
<li style="font-weight: 400;" aria-level="1">Apply authoritative checks for high-risk segments.</li>
<li style="font-weight: 400;" aria-level="1">Measure lift at the cohort level and scale what holds up under scrutiny.</li>
</ul>
For teams managing growth and risk, the question is no longer whether to add a consent-based verification step, it’s where to place it to convert the most good customers at the lowest friction cost and the highest degree of certainty.

Outperform: How Leading Programs Turn Gray Areas into Clear Approvals with eCBSV

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Mark Bahl