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  • CRO EXECUTION · PRODUCT PAGE · MAY 2026

One product page fix.
Seven days. +13.8% conversions.

An Ayurvedic D2C brand with strong organic loyalty and paid traffic across Facebook and Instagram. The product worked. The page was losing buyers before they could decide.

+13.8%

Overall visitor to purchase rate

+11.1%

Add to cart rate lift

+253

Additional completed purchases in 7 days

CATEGORY

Ayurvedic Wellness · D2C

MEASUREMENT

GA4 + Shopify Analytics

01

the starting point

Strong brand. Strong traffic.
Weak conversion path.

The brand had consistent paid traffic from Facebook and Instagram, a returning customer rate above 40%, and an average order value of Rs 2,059. The product had over 2,265 customer ratings and clear market demand.

The conversion rate was 1%. With the traffic volumes arriving daily, the gap between visitors and completed purchases was the single largest untapped lever in the business.

A 40%+ returning customer rate and Rs 2,059 AOV are not signs of a product problem. Buyers who made it through the funnel were satisfied. The problem was getting more visitors to that decision point.

2,777

Sessions in the 90-day baseline period

1%

Conversion rate — 28 of 2,777 sessions completed purchase

40.47%

Returning customer rate — product satisfaction confirmed

Rs 2,059

Returning customer rate — product satisfaction confirmed

02

WHERE THE FUNNEL BROKE

92.7% of visitors never added to cart.

The funnel diagnosis showed three distinct drop-off layers before any development began. Each existed independently — fixing one would not mask the others. All three needed to be sequenced across the engagement.

FUNNEL STEP

SESSIONS

RATE

DROP-OFF

Total sessions

2,777

100%

—

Added to cart

204

7.34%

92.7% lost here

Reached checkout

79

2.84%

61% cart drop

Completed purchase

28

1%

65% checkout drop

A 40%+ returning customer rate and Rs 2,059 AOV are not signs of a product problem. Buyers who made it through the funnel were satisfied. The problem was getting more visitors to that decision point.

03

DIAGNOSIS BEFORE EXECUTION

Nine specific friction points.
Each mapped before touching code.

The product page redesign was not a visual refresh. Every change addressed a specific identified failure in the mobile purchase experience. The Figma comparison documented all nine changes before any development began — no task started without a reason connected to the funnel.

Change 01

Hero carousel showed only one product. Next slide not hinted — swipe discovery dead on mobile.

Change 02

Rating count (2,265 reviews) buried below the fold. Social proof invisible at first glance.

Change 03

Star rating not adjacent to product title. Two separate visual anchors where there should be one.

Change 04

No variant selector above the fold. Size options and pricing hidden until user scrolled significantly.

Change 05

Variant cards had no discount labels. 4% and 8% savings not visible at the point of choice.

Change 06

Trust certifications (Ayurvedic, GMP, Ayush) placed after the fold with no visual weight near the CTA.

Change 07

No sticky CTA. Add to Cart disappeared as user scrolled through a long product description.

Change 08

2,265 customer ratings existed but were hidden. The strongest trust signal on the page was invisible.

Change 09

Pincode delivery check placed at the bottom. A purchase-decision point was being left for last.

04

WHAT CHANGED

Same page. Different hierarchy.

The changes were structural, not stylistic. The goal was to move the elements that drive purchase decisions into the first scroll on mobile, and remove the obstacles between intent and action.

BEFORE

✕

Single hero image, no next-slide hint

✕

Variant selector below the fold

✕

No sticky Add to Cart button

✕

Reviews not visible at entry

✕

Trust badges buried in footer area

✕

Discount % not shown on variant cards

✕

Delivery check far below the CTA

AFTER

✓

Carousel edge visible — next slide hinted

✓

Variant selector with pricing in first scroll

✓

Sticky CTA persists as user scrolls

✓

Rating count beside product title on entry

✓

Certifications placed directly below CTA

✓

4% / 8% discount labels on variant cards

✓

Pincode check moved up near the CTA

05

THE RESULT

GA4 funnel: May 1–7 vs May 8–15, 2026.

The before-window opened May 1st. Changes went live and the after-window ran May 8–15. Traffic dipped 3.4% in the second period, meaning the conversion improvement was not carried by higher visitor numbers.

FUNNEL STEP

MAY 1–7

MAY 8–15

CHANGE

Total visitors

186,580

180,243

−3.4% traffic dip

Add to cart rate

3.05%

3.39%

+11.1% · +0.34pp

Initiated checkout (of cart)

66.49%

65.74%

−0.75pp marginal

Completed purchase (of checkout)

64.0%

66.6%

+10.4% · +2.6pp

Overall: visitor → purchase

1.30%

1.48%

+13.8% · +0.18pp

Completed purchases (count)

2,421

2,674

+253 purchases

Traffic fell 3.4% in the after-window. The conversion rate improved despite fewer visitors. The lift was not a traffic effect.

06

FIRST-TIME VISITOR SIGNAL

The ATC lift held for new visitors specifically.

Shopify Analytics cross-referenced the same period by first-time visitor cohort only, isolating the product landing path. This removed the returning customer effect and tested whether the page was genuinely more efficient with visitors who had no prior brand familiarity.

MAY 1–7 · BEFORE

69,046

First-time visitor sessions

ATC rate: 6.19%

Sessions with cart add: 4,272

MAY 8–15 · AFTER

85,095

First-time visitor sessions (+23.2%)

ATC rate: 6.88% (+0.69pp)

Sessions with cart add: 5,856 (+37.1%)

Cart addition sessions grew 37.1% while total sessions grew 23.2%. The page was converting a higher proportion of each visitor — not just receiving more of them. The improvement held for people encountering the brand for the first time.

+37.1%

Growth in sessions with cart adds — outpacing the 23.2% session growth

+0.69pp

ATC rate improvement for first-time visitors specifically

7 days

Measurement window. No new ad spend, pricing change, or traffic source.

07

SCOPE AND CONTEXT

What this was, and what it was not.

The seven-day after-window is short. A longer observation period will confirm whether the lift holds at this magnitude. What the data shows is that the page converted a higher percentage of the visitors it was already receiving — including visitors with no prior brand exposure.

This was a product page UX fix executed against a documented diagnosis. Nine structural changes on one page, measured against a clean before-and-after window. Nothing else changed in the business during the measurement period.

Cart-to-checkout drop (61%) and checkout completion rate are Phase 2 priorities. Those leaks exist independently of the product page and are the next focus of this engagement.

WHAT THIS ENGAGEMENT DID NOT INCLUDE

— No new ad spend or audience changes — same campaigns throughout both windows

— No pricing or discount changes — same product prices in both periods

— No new apps or third-party tools installed on the store

— No brand identity or visual style changes — layout and hierarchy only

— No A/B testing — a single directional change with clean before/after measurement

— No revenue guarantees — Hopiant’s commitment is execution quality and measurement integrity

PHASE 1 — COMPLETE

Product page

Nine structural changes. +13.8% overall conversion in 7-day window.

PHASE 2 — NEXT

Cart to checkout

61% of cart sessions never initiate checkout. Friction diagnosis in progress.

PHASE 3 — PLANNED

Checkout completion

65% of checkout initiations do not complete. Full audit once Phase 2 data is clean.

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