Featured Case Study · Fabric Store · Ecommerce

+320% Conversions in a 90-Day Sprint

This case-study record describes a fabric store · ecommerce engagement centred on Google Ads. The current ITARV case-study page reports +320% for conversions, -48% for cpa, and a period of 90 days.

Conversions +320%
CPA -48%
Orders 1,400+
Period 90 Days

Evidence note: these figures reproduce the claims already stated on ITARV's current case-study page. No external verification link is supplied on that page, so they are presented here as ITARV case-study claims rather than independently verified results. They are not a guarantee of future performance.

The Starting Point

What Was Holding Growth Back

The case record points to three issues before the rebuild.
Problem 01

Conversion Efficiency

The current record points to a need to scale conversion volume without allowing acquisition costs to rise unchecked.

Problem 02

CPA Pressure

The published result highlights a 48% CPA reduction, indicating cost efficiency was a core part of the optimisation work.

Problem 03

Ecommerce Scale

The case is positioned as a 90-day ecommerce growth sprint focused on generating materially more order volume.

The Diagnosis

The Performance Problem Needed a Clearer System

The current case-study card points to improvements across google ads, efficiency and commercial outcomes.
Campaign Focus The case is centred on Google Ads performance rather than broad traffic growth.
Efficiency The published result includes -48% for cpa, making efficiency a key part of the story.
Commercial Outcome The page reports +320% for conversions, linking media performance to a business outcome.
Context The stated period is 90 days; where baseline data is not published, this page does not invent it.
What ITARV Changed

What Changed in the Google Ads Setup

A focused optimisation sequence built around Google Ads, efficiency and scale.
Step 01

Tighten Campaign Structure

The case is framed around a focused Google Ads growth sprint, with the emphasis on improving conversion efficiency before pushing harder on scale.

Step 02

Improve Conversion Quality

The reported CPA reduction suggests optimisation centred on higher-intent traffic, better campaign control and stronger conversion efficiency.

Step 03

Scale Winning Demand

The page reports 1,400+ orders and a 320% conversion increase over 90 days, showing the scale phase followed efficiency improvements.

Reported Results

Reported Results · 90 days

One headline outcome, supported by two additional reported metrics from the current case-study record.
Headline result
+320%

The current ITARV case-study page reports a 320% increase in conversions over a 90-day sprint.

-48%
CPA reduction reported
1,400+
Orders stated on the page
Evidence & Context

How To Read These Numbers

Context matters more than a headline percentage.
Business model Fabric Store · Ecommerce.
Channels referenced Google Ads.
Measurement period 90 days, as stated on the existing case-study page.
Verification status No external analytics export or independent verification link is supplied on the current page.
Why It Worked

The Result Came From a Focused Optimisation

The current card gives outcome metrics but limited implementation detail, so this page keeps the explanation conservative.
01

Commercial Focus

The case is framed around conversions and cpa rather than vanity traffic metrics.

02

Efficiency Discipline

The published outcome includes -48% for cpa, indicating efficiency improved alongside scale.

03

Channel Fit

The result is tied to Google Ads, so the takeaway is about a focused channel strategy rather than a universal tactic.

Relevant For

Who This Case Is Most Useful For

Use the case as a strategic example, not a performance promise.

Ecommerce Retailers

Relevant for online stores looking to increase conversion volume while improving acquisition efficiency.

Brands With High CPA

Useful where growth is constrained by rising acquisition cost or inefficient campaign structure.

Teams Planning a 90-Day Sprint

A good fit for businesses wanting a focused optimisation-and-scale window rather than an open-ended test.

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