Ecommerce OS · Online Pharmacy5 min readUpdated November 2, 2026

Online Pharmacy Benchmarks: Conversion Rate, AOV, CAC and Churn

What benchmarks exist for online pharmacies (few), the all-sector reference points worth using, and how to measure your own conversion, AOV and churn.

Nick Bonnassies, CMO at Tagada · checked against 8 sources

Article summary

TL;DR

As of November 2026, no source publishes conversion, order value, CAC or churn benchmarks for online pharmacies with a clear method and sample. Use all-sector ecommerce figures as reference points, say where they come from, and build your own baseline. In a pharmacy, count orders waiting for review and track the approval rate, or your numbers will mislead you.

Shoppers abandon about 70% of carts on average across 50 studies (Baymard, September 2025).
Failed payments cause 25% of lost subscriptions, according to Stripe (January 2024).
Post-purchase upsells average 4.7% acceptance across sectors (ReConvert, 2023 data).
The one "online pharmaceutical" panel we found tracks 15+ retailers with no published method. Don't benchmark against it.

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On this page

This guide is part of our playbook on the best ecommerce platform for online pharmacies. The general guide, for any business: checkout optimization. Brands that want the prescription side run for them can apply to Tagada Rx, a stack with storefront, doctors, pharmacy and payments.

Why there is no online pharmacy benchmark

Online pharmacy data exists, but none of it is fit to compare against.

Panels without a method
Grips Intelligence shows a conversion rate and AOV range for "online pharmaceutical", but on "15+ retailers tracked", with no country or method stated6.
Market reports, not store metrics
Market size studies tell you nothing about your checkout.
Mixed models
A refill pharmacy, a clinician-led brand and an OTC catalog convert differently. One average would hide all three.

If you see a pharmacy conversion rate without a sample, date and method, treat it as marketing.

All-sector reference points

These figures come from all ecommerce sectors. They are ceilings and floors to test against, not pharmacy targets.

Metric	Value	Source and sample
Cart abandonment	70.22%	Baymard, average of 50 studies, updated September 20251
Checkout abandoned because the card was declined	10% of abandoners	Baymard, US shopper survey1
Subscriptions lost to failed payments	25%	Stripe, January 20242
Failed payment recovery at one merchant	53% to 71%	Recurly, April 2026, two cases3
Post-purchase upsell acceptance	4.7% average; 28.3% for top offers	ReConvert, 2023 data4
Upsell acceptance, optimized stores	16.2%, about 4% otherwise	Zipify, 15,000+ stores, July 20265

Fig. 1All-sector reference points, with their samples

70.22%

Cart abandonment · Baymard, average of 50 studies, September 2025

25%

Subscriptions lost to failed payments · Stripe, January 2024

53% to 71%

Failed payment recovery at one merchant · Recurly, April 2026, two cases

4.7%

Post-purchase upsell acceptance, average · ReConvert, 2023 data

All sectors: ceilings and floors to test against, not pharmacy targets.

Baymard, updated September 2025; Stripe, January 2024; Recurly, April 2026; ReConvert, 2023 data.

Fig. 2Upsell acceptance: the offer makes the gap

Top offers (ReConvert)28.3%
Optimized stores (Zipify)16.2%
Average (ReConvert)4.7%
Other stores (Zipify)about 4%4%

Source: ReConvert (2023 data) and Zipify (July 2026)

All sectors, not pharmacy figures.

ReConvert, 2023 data; Zipify, 15,000+ stores, July 16, 2026.

The metrics that differ in a pharmacy

A pharmacy funnel has steps a regular store doesn't: eligibility, prescription, review. Measure them, or the standard metrics break.

Metric	How to calculate it	Pharmacy trap
Conversion rate	Orders (authorized + captured) ÷ sessions	Counting only captured orders understates conversion while reviews are pending
Approval rate	Approved orders ÷ authorized orders	Low approval means the wrong visitors, not a bad checkout
AOV	Revenue ÷ orders, split first order and refill	A blended AOV hides the refill pattern
CAC	Ad and sales spend ÷ new approved customers	Dividing by all checkouts flatters CAC
Refill retention	Share of plans reaching refill 2, 3 and 6	Monthly churn alone hides the drop at the first refill
Payment recovery	Recovered renewals ÷ failed renewals	Declines on refills look like churn

Fig. 3Where standard metrics break in a pharmacy

Counting only captured ordersUnderstates conversion while reviews are pendingOrders (authorized + captured) ÷ sessions
Low approval rateThe wrong visitors, not a bad checkoutApproved orders ÷ authorized orders
Dividing CAC by all checkoutsFlatters CACSpend ÷ new approved customers
Monthly churn aloneHides the drop at the first refillShare of plans reaching refill 2, 3 and 6
Declines on refillsLook like churnRecovered renewals ÷ failed renewals

Eligibility, prescription and review change how you count.

Traps from the table above.

How to turn these into lifetime value: LTV and CAC for an online pharmacy.

What to fix first

Fig. 4Fix in this order

Tracking. Back-office orders and analytics must match before any benchmark means anything. See server-side tracking.
Approval rate. If many orders are declined at review, fix targeting and the eligibility step before the checkout.
Declines. Read refill decline codes weekly; set up retries. See failed payment recovery.
First refill. Remind before the supply runs out. See subscriptions and churn.
Order value. Only then work on add-ons: how to increase AOV.

Each step links to the guide that covers it.

Order value comes last.

Order of the list above.

How Tagada helps

Hold, capture and refill data in one stack

For prescription brands, Tagada Rx runs "storefront, doctors, pharmacy and payments in one stack", with the card held at checkout, captured on approval and rebilled on ship day7. It is open by application; details are on the Tagada Rx page.

On the payment side, TagadaPay scores "every transaction" against your live MID network and routes "to the processor most likely to approve it, retry on decline"8. Your cards, customer profiles and subscription data stay portable: "Switch processors without re-onboarding customers"8. Regulated verticals get enhanced review.

Apply to Tagada Rx

Hold, capture and refill data in one stack

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 is a good conversion rate for an online pharmacy?

No source publishes one with a method as of November 2026. Track yours as authorized plus captured orders divided by sessions, and compare month to month. All-sector data, such as Baymard's 70% average cart abandonment, gives a reference point, not a target.

What is the average order value of an online pharmacy?

There is no reliable published figure. Split your own AOV into first orders and refills: they behave differently, and a blended number hides your refill business.

How do I measure churn for prescription refills?

Track the share of refill plans that reach the second, third and sixth refill, and separate cancellations from failed payments. Stripe attributes 25% of lost subscriptions to failed payments across its data.

Which KPIs matter most for an online pharmacy?

Conversion including authorized orders, approval rate at review, CAC per approved customer, refill retention and payment recovery. The approval rate is the one regular stores don't have, and often the first to fix.

Sources

Checked November 2, 2026

Tagada Rx

Measure approvals and refills, then fix the weakest step

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

01Tell us about your brand
02We review every application
03Go live under your brand after review