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What A/B Testing Capabilities Exist in MANTL?

MANTL powers digital account opening for growth-minded banks and credit unions. With the right experimentation strategy, you can A/B test offers, flows, and friction in your MANTL funnels to increase application starts, completion rates, and funded accounts—without compromising risk or compliance.

Learn About FI-AI Agent Unlock Banking & Finance Growth

MANTL supports A/B testing as part of a broader experimentation stack: you can design variants of entry points, page layouts, offers, copy, form sequences, and funding flows and route traffic between them using your analytics and testing tools. Banks typically measure uplift in application starts, completion and approval rates, funded accounts, and early engagement, then standardize the winning experience as the new “control” across their MANTL funnels.

What Can You A/B Test Around MANTL?

Acquisition Entry Points — Landing pages, pre-qualification experiences, and offer pages that hand off to MANTL for account opening.
Offer & Messaging — Rate and bonus framing, fee explanations, proof points, and FAQs that build trust before applicants click “Open Account.”
Form Design & Flow — Field order, progressive disclosure, inline help, and microcopy on the steps that live in and around the MANTL experience.
Friction & Risk Controls — When to surface IDV, document upload, or funding verification so you balance conversion with KYC/AML and fraud controls.
Channel & Campaign Routing — How different campaigns, audiences, and channels route to specific MANTL experiences and funnels.
Analytics & Attribution — Tracking setups, event definitions, and funnel views that help you read experiment impact on funded accounts and balances—not just clicks.

Designing an A/B Testing Program Around MANTL

Use this sequence to move from ad hoc tests to a governed experimentation program that continuously improves your MANTL-powered account opening funnels.

Instrument → Hypothesize → Design → Launch → Read → Roll Out → Govern

  • Instrument every step: Ensure your analytics stack captures impressions, clicks, starts, drop-off points, approvals, and funded accounts across pre-MANTL pages and MANTL flows.
  • Prioritize hypotheses: Start with high-impact questions (e.g., “Does simplifying the product grid increase application starts?”) rooted in observed friction and data.
  • Design compliant variants: Coordinate with risk, compliance, and brand so both control and variant meet legal and brand standards before launch.
  • Launch safely: Use traffic splits, guardrails, and clear stop criteria to protect approval quality, fraud, and funding while tests run.
  • Read results to funding: Evaluate experiments on application completion, approval %, funded rate, and early engagement—not just click-through.
  • Promote winners into “control”: Roll out winning variants to 100% of traffic, document learnings, and update playbooks and design systems.
  • Govern experimentation: Establish an experimentation council to manage backlog, approvals, and reporting, aligning tests to deposit, loan, and relationship growth targets.

MANTL Experimentation Maturity Matrix

Capability From (Ad Hoc) To (Operationalized) Owner Primary KPI
Tracking & Events Basic pageviews and clicks on “Open Account” buttons Unified funnel tracking from ad → pre-qual → MANTL → funded accounts and early usage Analytics/RevOps Experiment Readiness Score, Data Completeness
Test Governance One-off tests run by individual teams Central backlog, approvals, and documentation for all MANTL-related experiments Growth/Experimentation Lead Number of Tests per Quarter, Time-to-Launch
Offer & Message Testing Occasional headline tweaks Systematic testing of value props, proof points, and FAQs by segment and product Product Marketing Application Start Rate, Click-to-Start Rate
Funnel & UX Testing Static form flows Variants of layouts, sequences, and microcopy across MANTL funnels and pre-funnel experiences Digital Product Completion Rate, Time-to-Complete
Risk & Friction Testing One-size-fits-all friction Targeted friction placement (IDV, funding checks) that balances conversion with risk Risk/Compliance + Digital Approval %, Funded Rate, Fraud/Charge-offs
Revenue Impact Attribution Click-based reporting on tests View of experiment impact on balances, loans, products-per-household, and relationship depth Finance/RevOps Incremental Funded Accounts, Incremental Balances

Client Snapshot: Testing into Higher-Funded Accounts

A regional bank running MANTL wanted to grow funded accounts without loosening risk. By testing pre-qualification pages, offer framing, and help content around key drop-off points, they drove more qualified traffic into MANTL, increased completion rates, and lifted funded accounts per campaign—while holding approval standards constant. Explore similar results: Comcast Business · Broadridge

The right experimentation strategy turns MANTL into a learning engine for deposits and lending: every test either improves the funnel or teaches you where to focus next.

Frequently Asked Questions about A/B Testing in MANTL

What parts of the MANTL experience can I A/B test?
Most banks focus on the experiences that surround and feed MANTL: landing pages, offer and product grids, eligibility and pre-qualification flows, FAQs, and key steps in the application and funding journey. The goal is to reduce friction and increase qualified starts and completions.
How do I connect MANTL with my experimentation tools?
Typically you combine MANTL with analytics and testing platforms by aligning URL structures, tagging campaigns and variants, and passing experiment IDs through to downstream systems so you can see impact on approvals and funded accounts—not just clicks.
Which metrics should I use to judge MANTL A/B tests?
Look beyond page-level engagement. Measure changes in application start rate, completion rate, approval %, funded rate, funded balances, and early engagement (like digital enrollment or card activation) for each variant.
Is it safe and compliant to A/B test around MANTL?
Yes—when experiments are designed with risk and compliance. Both variants must meet disclosure, fair lending, and UDAAP expectations, and you should avoid tests that target or treat protected classes differently. Involve compliance early and document every test.
How do we prioritize what to test first?
Start where drop-off and volume are highest: key campaign landing pages, the step between “Open Account” and the first MANTL page, and any friction-heavy points like identity verification or funding. Use analytics, session replays, and frontline feedback to build your test backlog.
How does MANTL experimentation tie into revenue marketing?
MANTL sits in the middle of your revenue marketing loop. Experiments help connect demand generation to funded accounts and balances by continuously improving the conversion and experience of your digital account opening funnels.

Turn MANTL Experiments into Measurable Growth

We help banks and credit unions design experiments around MANTL that boost funded accounts, balances, and relationship depth—while staying aligned with risk and compliance.

Explore the Banking Case Study Get your growth audit
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