A/B Testing for Telehealth: What to Test on Landing Pages and Intake Flows

Why A/B Testing Matters for Telehealth

In telehealth, small conversion improvements add up fast. A landing page converting at 5% instead of 3% means ~67% more patients from the same ad spend. Yet many clinics and brands still rely on opinions instead of running structured experiments.

This guide covers what to test on your landing pages and intake flows—so you can stop guessing and start optimizing.

A/B testing concept for telehealth websites

Landing Page Elements to Test

Key landing page elements to optimize

1. Headlines and Value Propositions

Your headline sets expectations in the first few seconds. Even small changes can lift click-through and form starts.

Test Ideas:

What to measure:

• Bounce rate
• Scroll depth
• Click-through to intake

2. Hero Section Layout

The hero section is your biggest “trust + clarity” zone above the fold.

Test Ideas:

• Image vs. video: Does a short provider intro outperform a static image?
• Patient photos vs. provider photos: Which builds more confidence?
• Before/after imagery: Sometimes it helps, sometimes it hurts trust (test carefully)
• Text-first hero: A clean hero with no image can outperform busy layouts

3. Call-to-Action (CTA) Buttons

CTAs are often the highest-leverage thing to test because they control the next step.

Button text tests:

• "Get Started" vs. "Start My Consultation"
• "Book Now" vs. "Check My Eligibility"
• "See If I Qualify" vs. "Begin Assessment"

Button design tests:

• Contrast vs. background
• Size (large vs. standard)
• Position (above fold, sticky, repeated CTAs)
• Micro-urgency (avoid hype; test subtle wording like “Limited availability”)

4. Social Proof Placement

Trust signals can make or break telehealth conversion.

Test Ideas:

• Review summary: “4.8★ average rating” vs. a full review widget
• Licensing clarity: “Licensed providers in your state” near the CTA
• Media logos: “As seen in” blocks (only if legitimate)
• Testimonials: Video vs. text, named vs. anonymous (privacy-friendly)

Tip: Avoid compliance badges that imply certification unless you can back them up. Use accurate trust language like “secure messaging” or “privacy-focused workflows” instead.

5. Pricing Presentation

Pricing affects both conversion and lead quality.

Test Ideas:

• Show price upfront vs. after eligibility check
• Monthly price vs. per-visit price
• “Starting at” vs. exact price
• Clear “what’s included” breakdown vs. one-line price
• Insurance messaging (generic “insurance may be used” vs. detailed plans)

6. Form Placement and Length

The transition from landing page → intake is where many funnels drop.

Test Ideas:

• Embedded form vs. separate intake page
• Single-step vs. multi-step wizard
• Number of fields shown initially
• Progress indicator (Step 1 of 5)
• Reassurance copy (“Takes ~2 minutes”)

Multi-step intake form flow

Intake Flow Optimization

1. First Question Strategy

Your first question sets momentum and confidence.

Test Ideas:

• Easy start: “What are you looking to improve?”
• Qualification first: “What state are you in?” (routing and rules)
• Outcome-oriented: “What result are you aiming for?”
• Logistics first: “Have you used telehealth before?”

2. Question Order and Grouping

Order affects completion more than most people expect.

Test Ideas:

• Group by topic vs. progressive disclosure
• Sensitive questions early vs. later (usually later wins)
• Required fields first vs. spread out
• Conditional questions (show only what’s relevant)

3. Progress Indicators

People complete more when they know what’s left.

Test Ideas:

• Progress bar vs. step count
• Time estimate (“~2 minutes left”)
• No progress indicator for short forms

4. Field Types and Input Methods

Input friction matters, especially on mobile.

Test Ideas:

• Dropdown vs. radio buttons
• Checkboxes vs. multi-select dropdown
• Structured inputs vs. free text
• Date picker vs. text
• Slider vs. number input for weight/height

5. Mobile Optimization

Most telehealth traffic is mobile. Don’t treat it as a “responsive afterthought.”

Test Ideas:

• Single column layouts
• Larger tap targets
• Correct keyboard types (numeric for phone/ZIP)
• Auto-advance where it helps
• Sticky “Continue” button

6. Error Handling and Validation

Bad error UX kills completion.

Test Ideas:

• Inline validation vs. validate on submit
• Friendly error tone vs. clinical tone
• Highlight missing fields clearly
• Autosave + “Continue later” messaging

High-Impact Test Ideas

Landing Page Tests

Intake Flow Tests

These ranges depend on traffic source, offer, and program type. Use them as direction—not guarantees.

A/B Testing Best Practices

Statistical Significance

Avoid calling winners too early:

• Minimum sample size: Aim for at least 100 conversions per variant (more is better)
• Duration: Run for 7+ days to include day-of-week effects
• Confidence: Target 95%+ confidence before shipping
• One variable at a time: Keep tests focused so you know what caused the lift

Avoiding Common Mistakes

Don’t:

• Stop a test on the first “good day”
• Run tests during unusual traffic events (holidays, PR spikes)
• Ignore mobile vs. desktop differences
• Optimize only for clicks (track downstream conversion quality)

Do:

• Document every test with a hypothesis and expected outcome
• Track the full funnel, not just the tested step
• Start with big changes, then iterate on details
• Segment results by channel and device

Testing Tools

Popular options for telehealth experimentation include:

• Optimizely: Enterprise experimentation + feature testing
• VWO: Strong testing suite and UX tooling
• AB Tasty: Testing + personalization
• Convert: Lightweight and privacy-conscious
• Statsig / LaunchDarkly: Great for product + feature experiments

Note: Google Optimize has been discontinued, so plan on using an alternative. oai_citation:0‡Google Help

A/B testing metrics dashboard

Measuring Success Beyond Conversion Rate

Primary Metrics

• Form start rate: % of visitors who begin the intake
• Form completion rate: % who finish the intake
• Booking rate: % who schedule the first visit (if applicable)
• Show rate: % who attend

Secondary Metrics

• Time to complete: Faster isn’t always better (it may signal confusion)
• Drop-off points: Where do people leave?
• Return rate: Do patients come back to finish?
• Lead quality: Are completed intakes actually a good fit?

Long-Term Metrics

The best winner isn’t always the one with the highest immediate conversion:

• Patient LTV: Some pages attract higher-value patients
• Retention: Some funnels convert fast but churn quickly
• Refund rate: High conversion may increase chargebacks/refunds if expectations are unclear
• Referrals: Better experience drives word of mouth

Building a Testing Culture

Create a Test Backlog

Maintain a prioritized list of test ideas:

1. Rank by potential impact (high/medium/low)
2. Estimate implementation effort
3. Prioritize high-impact, low-effort tests
4. Review results weekly and plan the next test

Document Everything

For each test, record:

• Hypothesis and rationale
• Variants tested
• Traffic allocation
• Start and end dates
• Results and statistical significance
• Decision and next steps

Iterate Continuously

A/B testing is never “done”:

• Winners become the new baseline
• Test the next hypothesis
• Revisit old ideas when traffic patterns change
• Share learnings across growth + ops + clinical teams

Getting Started: Your First 5 Tests

If you’ve never run A/B tests, start here:

1. CTA button text: Improve clarity of the next step
2. Form length: Remove 2–3 non-essential fields
3. Social proof: Add testimonials or reposition them
4. Mobile hero: Improve above-the-fold clarity on phones
5. Progress indicator: Make the intake feel manageable

These tests are low-risk, fast to implement, and often produce measurable results.

Conclusion

A/B testing is one of the highest-ROI activities for telehealth growth. By systematically improving landing pages and intake flows, you can increase patient acquisition without increasing ad spend.

Start with high-impact, low-effort tests. Let data—not opinions—drive decisions.

Ready to optimize your patient acquisition? Explore our telehealth platform or contact us to learn how we can help you convert more patients.