Tagada
Ecommerce OS · Online Pharmacy6 min readUpdated November 2, 2026

Checkout A/B Testing for Online Pharmacies

What to A/B test on an online pharmacy checkout, what never to change, which metric decides a test, and how to keep health data out of your tools.

Nick Bonnassies, CMO at Tagada · checked against 6 sources

Article summary

TL;DR

Test what removes friction: the order of steps, how the card hold is explained, express payment, supply length options and delivery choices. Decide each test on approved orders, not on checkouts completed, because a page that converts more but gets more orders declined at review loses money. Never vary required disclosures, and keep health answers out of your testing tool.

  • Kronans Apotek, a Swedish pharmacy chain, tested delivery options at checkout: fewer low-margin orders and higher net margin revenue, despite a slight dip in conversion, as reported by CartHook.
  • A telehealth brand that renamed its post-checkout step "Complete your consultation to get your order" saw 8.5% more consultations started (2022 case study).
  • Kameleoon, a testing vendor, notes that "PHI is only counted as PHI when it's possible to identify an individual from it" (2021).
  • Subscription terms must be clear and consented to before billing (ROSCA). They are not a test variable.
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On this page

This guide is part of our hub on the best ecommerce platform for online pharmacies. The general guide, for any business: custom ecommerce checkout.

What to test on a pharmacy checkout

Start where patients hesitate. Baymard's survey of US shoppers lists extra costs, forced accounts and long checkouts among the top reasons for abandoning5Baymard Institute, Cart abandonment rate statistics and reasons for abandonment, updated September 22, 2025.

TestHypothesisDecide on
How the hold is explained ("authorized now, charged only if approved")Fewer drop-offs at payment, fewer "unknown charge" ticketsApproved orders per visitor
Eligibility before vs. after checkoutFewer orders declined at reviewApproval rate and approved orders
Guest checkout vs. account firstFewer drop-offs at the account step5Baymard Institute, Cart abandonment rate statistics and reasons for abandonment, updated September 22, 2025Checkouts completed, then approved
Express payment placementFaster mobile checkoutMobile approved orders
Supply length options shown (1 vs. 3 months, where the prescription allows)Higher margin per orderMargin per approved order
Delivery options and pricesBetter margin, as in the Kronans case1CartHook, Checkout A/B testing: boosting conversion rates, Kronans Apotek example, undated, read November 2, 2026Net margin per visitor
Post-checkout next step wordingMore patients finish what review needs2Natalie Writes Things, Web checkout A/B test, telehealth case study, 2022Orders reaching review

Fig. 1Same checkout, two ways to explain the hold

Variant A

  1. CheckoutButton: Pay now
  2. thenReviewPatient unsure why the card is held

Decide on approved orders per visitor

Variant B

  1. CheckoutAuthorize now, charged only if approved
  2. thenReviewFewer unknown charge tickets

Decide on approved orders per visitor

Read the result on approved orders, not on checkouts completed.

Illustrative example.

What never to test

Some elements are not up for optimization. Keep them identical in every variant.

  1. Licensing and pharmacist information

    Patients and ad platforms look for them.

  2. Subscription terms and consent

    Price, frequency and how to cancel, shown before billing, with express consent415 U.S.C. § 8403, Restore Online Shoppers' Confidence Act.

  3. The statement that payment is not approval

    The Tagada Rx docs require storefront copy to make clear the hold "is not clinical approval"6Tagada docs, Tagada Rx introduction, read November 2, 2026. Test how you say it, not whether you say it.

  4. Eligibility questions set by the pharmacist

    Their wording belongs to the clinical side.

Pick the right metric

The usual checkout metric misleads a pharmacy. Use a chain of metrics, and decide on the last one you can measure in time.

MetricWhat it tells youTrap
Checkout completionFriction at paymentCan rise while approvals fall
Approval rateWhether the right patients check outIgnores volume
Approved orders per visitorThe real conversionNeeds enough traffic
First refill rateWhether the promise heldTakes a full cycle to read
Margin per approved orderWhether options payLower conversion can still win1CartHook, Checkout A/B testing: boosting conversion rates, Kronans Apotek example, undated, read November 2, 2026

Fig. 2The chain of metrics, from first to last

  1. Checkout completionFriction at payment
  2. Approval rateThe right patients check out
  3. Approved orders per visitorThe real conversion
  4. First refill rateTakes a full cycle to read

Decide on the last one you can measure in time.

Order of the metrics in the table above.

Example

Variant B moves the eligibility questions before payment. Checkout completion drops from 40% to 34% of starts, but the approval rate rises from 75% to 92%. Approved orders per 100 checkout starts: 30 for A, 31 for B. B wins, and fewer patients see a declined order. (Hypothetical numbers.)

Health data and your testing tool

Most tests do not need health data at all. Keep it that way.

PHI is only counted as PHI when it's possible to identify an individual from it.

Kameleoon, How to do HIPAA-compliant A/B testing, August 7, 2021 (vendor article)
  • Test pages and copy, not people's answers. Kameleoon lists images, copy, buttons and email subject lines as tests that need no protected data3Kameleoon, How to do HIPAA-compliant A/B testing, August 7, 2021 (vendor article).
  • Never pass intake answers or product names into the testing tool's events or audiences.
  • Segment on non-health data: device, traffic source, state.
  • If a test must use health data, you need a tool that will sign a business associate agreement, and legal advice. Many testing vendors will not sign one.

Run a clean test

  1. Write the hypothesis and the deciding metric before you start.
  2. Change one thing. Everything else, including required disclosures, stays the same.
  3. Estimate the sample with a sample size calculator, on approved orders. If a variant cannot reach it in a month, test bigger changes or upstream pages.
  4. Run full weeks, at least two, to cover weekday and weekend traffic.
  5. Read the chain: completion, approval, approved orders, then the first refill a cycle later.
  6. Ship the winner, log the result, and move to the next test.

One change per test, decided on approved orders.

More test ideas for any store: A/B testing guide.

How Tagada helps

Run checkout tests where the hold and the payment happen

  • Tagada Rx for prescription brands: storefront, doctors, pharmacy and payments in one stack, LegitScript included. The card is held at checkout and captured only once a doctor approves6Tagada docs, Tagada Rx introduction, read November 2, 2026. US patients only; open by application to a selected group of brands.
  • A/B tests on checkout, order bumps and upsells, built into the Tagada checkout.
  • One-page checkout with Apple Pay and Google Pay, standalone or on Shopify, WooCommerce or headless.
  • Server-side tracking to Meta, Google and TikTok, so test results and ad data use the same orders.
Apply to Tagada Rx
Run checkout tests where the hold and the payment happen

Updated on November 2, 2026

Nick Bonnassies

CMO at Tagada

CMO at Tagada. Before Tagada, Nick built direct-to-consumer brands that generated over $115M in sales, raised over $25M in crowdfunding and sold two of them. He also works as a fractional CMO on marketing operations and AI systems.

Frequently asked questions

What should I A/B test on an online pharmacy checkout?

Start with friction: how the card hold is explained, whether eligibility comes before payment, guest checkout, express payment placement, delivery options and supply length choices. Judge each test on approved orders per visitor, not on completed checkouts alone.

Can I A/B test a healthcare website under HIPAA?

Yes, for most tests. Changing copy, images, buttons and layouts does not require health data. Keep intake answers and product names out of the testing tool. If a test needs health data, use a vendor that signs a business associate agreement and get legal advice first.

Which metric should decide a pharmacy checkout test?

Approved orders per visitor. Checkout completion can rise while more orders are declined at review, which costs you acquisition spend and support time. When you have the traffic, confirm the winner on first refills a cycle later.

How long should a checkout test run?

At least two full weeks, and until each variant reaches the sample size you calculated before starting, counted in approved orders. Low-traffic pharmacies should test bigger changes, or test landing pages where traffic is higher. See landing pages for online pharmacies.

Sources

Checked November 2, 2026
  1. CartHook, Checkout A/B testing: boosting conversion rates, Kronans Apotek example, undated, read November 2, 2026
  2. Natalie Writes Things, Web checkout A/B test, telehealth case study, 2022
  3. Kameleoon, How to do HIPAA-compliant A/B testing, August 7, 2021 (vendor article)
  4. 15 U.S.C. § 8403, Restore Online Shoppers' Confidence Act
  5. Baymard Institute, Cart abandonment rate statistics and reasons for abandonment, updated September 22, 2025
  6. Tagada docs, Tagada Rx introduction, read November 2, 2026

Tagada Rx

Test the checkout, decide on approved orders

Tagada Rx runs the stack behind your brand. Open by selection: every application is reviewed, and we reply to each one.

Apply to Tagada Rx
  1. 01Tell us about your brand
  2. 02We review every application
  3. 03Go live under your brand after review