How a Leading Ayurvedic D2C Brand Achieved 47% Checkout Conversion with Fastrr Checkout

For a fast-growing D2C wellness brand, increasing traffic is only one part of the growth equation. When thousands of shoppers reach checkout every day, even small amounts of friction during login, address entry, payment, or order confirmation can translate into significant revenue loss.

A leading Ayurvedic D2C brand serving customers across India faced a similar challenge. With a large product portfolio spanning herbal juices, Ayurvedic medicines, personal care, and wellness products, the brand needed a checkout experience that could convert high-intent shoppers while reducing COD and RTO risks.

The brand partnered with Fastrr Checkout to reduce checkout friction, encourage prepaid payments, and recover customers who dropped off during the purchase journey.

Over the last 30 days, the brand processed 3,48,256 orders with a 47% session-to-order conversion rate and maintained an Average Order Value (AOV) of ₹614.07.

The Challenge

How did this D2C brand reduced checkout drop-offs?

For mobile-first D2C brands, login and address entry can become major friction points. Requiring customers to manually enter OTPs or repeatedly provide delivery information can create unnecessary steps between product discovery and purchase.

The brand also faced a challenge that is common across the Ayurvedic and wellness category: high dependence on Cash on Delivery (COD). When customers prefer COD over prepaid payments, brands can face higher RTO exposure and additional fulfillment costs.

At the scale of thousands of daily transactions, manually recovering abandoned purchases or identifying potentially risky orders was not a sustainable approach.

The brand’s key priorities were:

• Reduce manual steps during customer login.
• Improve checkout conversion by removing friction.
• Increase prepaid order adoption.
• Identify potentially risky orders before fulfillment.
• Recover customers affected by payment failures.
• Maintain a smooth checkout experience at high order volumes.

How Fastrr Checkout Helped Improve Checkout Conversion

Fastrr Checkout addressed multiple points across the customer journey starting from authentication and trust-building to payment and order recovery.

How did it made customer login faster?

Fastrr integrated Truecaller, otpLess, and SSO (Single Sign-On) to reduce the effort required to authenticate shoppers.

Instead of relying only on conventional OTP-based login, customers could use faster authentication methods to enter the checkout journey with fewer manual steps.

The results were significant:

• Truecaller Login: 52.41% peak conversion rate
• otpLess: 51.13% conversion rate

These conversion rates demonstrate the potential impact of reducing friction at one of the earliest stages of checkout.

How did the D2C brand build trust during checkout?

For Ayurvedic and wellness products, customer confidence can play an important role in completing a purchase.

Fastrr integrated social proof and customer testimonials directly into the checkout drawer, giving shoppers access to trust signals without requiring them to leave the purchase journey.

This helped address hesitation at the point where the customer was closest to completing the transaction.

How did it increased prepaid orders?

The brand wanted to reduce its dependence on COD while giving customers a stronger reason to choose prepaid payment.

Fastrr implemented a 5% additional discount on prepaid orders, creating a direct incentive for customers to pay online.

The checkout also used QuickPay to highlight preferred UPI applications, making prepaid payment faster and more convenient.

Together, these payment optimizations helped the brand achieve a 39.07% prepaid order share despite operating in a category with traditionally high COD preference.

How did the brand reduced RTO risk?

High COD volumes can expose D2C brands to potentially risky orders and subsequent RTO losses.

Fastrr’s Doubtful Address Detection helped identify potentially high-risk addresses before orders moved further into the fulfillment process.

This gave the brand an additional layer of protection while allowing genuine customers to continue through the checkout experience.

How did it recovered failed or abandoned orders?

A customer dropping off at payment does not necessarily mean the purchase intent is lost.

Fastrr’s Automated Order Recovery provided customers with another opportunity to complete their purchase after a failed payment. Customers could retry their payment or switch to COD, helping recover high-intent shoppers who might otherwise have been lost.

The Results

The combination of frictionless authentication, trust signals, prepaid incentives, address intelligence, and automated recovery delivered measurable results at scale.

Over the last 30 days, the brand achieved:

• 3,48,256 orders processed
• 47% session-to-order conversion rate
• ₹614.07 Average Order Value
• 39.07% prepaid order share
• 52.41% conversion through Truecaller Login
• 51.13% conversion through otpLess
• 63.43% conversion from Google Search traffic through the Fastrr flow

Google Search traffic delivered the strongest conversion performance, with a 63.43% conversion rate, showing how effectively high-intent traffic could be converted through the optimized checkout journey.

The authentication experience also emerged as a key conversion driver, with both Truecaller and otpLess crossing 51% conversion rates.

The Takeaway

For a high-volume D2C wellness brand, checkout optimization is not limited to reducing the number of clicks. It requires removing friction, building trust, improving payment choices, managing COD risk, and recovering customers when transactions fail.

By bringing these capabilities together, Fastrr Checkout helped the brand achieve a 47% checkout conversion rate while processing more than 3.48 lakh orders in 30 days.

The result is a checkout experience built to do more than process transactions—it helps D2C brands convert more shoppers, increase prepaid adoption, recover lost orders, and manage checkout risk at scale.