Case studies: measured results on Shopify

Case study

Multi-brand fashion boutique

The shopping window, four times busier.

Google Shopping clicks, monthly, Mar 2025 to Aug 2026

+302.3%

Google Shopping clicks

Multi-brand fashion boutique

Seen more, and clicked far more.

March to July 2026, against the same months of 2025.

Google Shopping impressions+133.3%

Google Shopping click-through rate+72.4%

Google Ads click-through rate+30.3%

Google Ads cost per click-12.7%

What changed on the store

Product pages rewritten from catalogue data, attribute by attribute.
Merchant Center feed rebuilt so the shopping listings match the pages.
Editorial content and trust signals added to the product pages.

Read the full case

Case study

Heating and cooling retailer

From an Italian store to a European one.

Google Shopping clicks, monthly, Mar 2025 to Aug 2026

4% → 52%

Share of revenue outside Italy

Heating and cooling retailer

From 4% to 52% of revenue outside Italy.

May to August 2026, against the same months of 2025.

Google Shopping impressions+37.0%

Google Shopping clicks+23.5%

Google cost per click-29.4%

Google click-through rate+20.2%

Meta cost per click-50.7%

What changed on the store

Native German and French, written for each market rather than translated.
One Merchant Center feed per country, instead of one feed for everywhere.
Technical content and trust signals on high-consideration products.

Read the full case

Case study

Artisan fresh-cheese producer

Less support, more sales.

Where is my order? And how does it ship?

Delivered in 24 to 48h, in an insulated box. Here are the ones people order most:

Website and WhatsApp, around the clock

-60%

Repeat questions to support

Artisan fresh-cheese producer

The same question, answered once.

Lia, the AI agent, trained on the real shipping policy.

Questions handled without a human~70%

Chat conversion+18%

Average order value with AI suggestions+12%

First reply timehours to seconds

“We used to spend hours answering the same shipping questions. Now Lia does it for us, and she brings in sales too.”

Chief Marketing Officer

What changed on the store

Lia trained on the real rules: insulated packaging, lead times, shipping days, islands, thresholds.
She answers 24/7 on the website and on WhatsApp, and suggests the right products.
Every contact lands in the CRM, so the conversation is not lost.

Case study

Womenswear brand

From a question to a whole look.

I need a look for dinner, size M, smart but comfortable

Here is a complete look in size M. Three pieces that work together:

Website and WhatsApp, around the clock

+22%

Chat conversion

Womenswear brand

The chat stopped answering, and started styling.

Lia, the AI stylist, trained on the catalogue, the fit and the house style.

Items per order+15%

Returns-18%

Repeat questions on size and fit-55%

Average order value+19%

“Customers always asked about size and how to match things. Now Lia guides them: they buy the whole look and send less back.”

Chief Marketing Officer

What changed on the store

Lia builds a whole look instead of suggesting one item.
She recommends the size, which is where most fashion returns start.
Catalogue, sizes and CRM are connected, so the advice is based on real stock.

Real stores,
measured results.

Seen more, and clicked far more.

What changed on the store

From 4% to 52% of revenue outside Italy.

What changed on the store

The same question, answered once.

What changed on the store

The chat stopped answering, and started styling.

What changed on the store

Want the same read on your store?

Real stores,measured results.

Seen more, and clicked far more.

What changed on the store

From 4% to 52% of revenue outside Italy.

What changed on the store

The same question, answered once.

What changed on the store

The chat stopped answering, and started styling.

What changed on the store

Want the same read on your store?

Real stores,
measured results.