[CASE STUDY] + 780% in Monthly Revenue in just 6 Months

In this article, we will analyze in detail how we helped one of our clients to multiply their monthly turnover by approximately 8 times.

Initial Situation

The client comes to us because he is dissatisfied with the results obtained up to that point.

Having previously worked with other agencies, this Shopify e-commerce already had a history and, among others, had the following KPIs on a monthly basis:

Sales Medium Cart Conversion rate Revenue per user
xxx 22,2 0.58% €0.25

Our business

Those who know us know very well that our support focuses on 2 main areas:

  • Programming front-end solutions and A/B testing for CRO and average cart growth
  • Data driven marketing campaign management with the sole aim of selling

Programming Service

All programming activity was mainly focused on the following aspects:

  • creating elements useful for increasing the conversion rate
  • creating elements useful for increasing the average cart
  • insertion of elements of social proof and trustability

Below are some examples of custom sections and blocks that we have created for this purpose.

Quick add to cart buttons in all product cards

Quick add keys

Progress bar free shipping

Progress bar free shipping

Bundle on product page 

Product Page Bundle

Toast product on offer

Toast product on offer

As always, for both new and existing themes , we have also created presets , such as the ones below, so that the customer can independently manage all aspects of the new elements added to the website:

Hoculus Custom Settings

Clearly, there was no shortage of A/B tests to verify that these elements actually brought improvements in terms of average revenue per user (Find out what an A/B test is and a detailed example of how it is done ) .

Marketing Service

Our data-driven marketing is based on a simple rule: what sells works .

With this client, the initial goal was to plan the strategy on Google ads and Meta ads (Facebook and Instagram) in order to turn most of the visitors into buyers.

By analyzing the data , contents , texts , campaign structures and much more, we noticed how the previous activity was only focused on communication, without being able to convince users to purchase in any way (the campaigns on Facebook and Instagram had the following objectives: clicks on the link, coverage and only a few rare offers were promoted with the conversion objective).

The first step was to set up search campaigns to cover traffic related to branded keywords and max performance campaigns to take advantage of shopping , display and video . In this way we ensured that we were effectively capturing the attention of aware users and converting them into customers .

In the meantime, we activated collaborations with micro-influencers to generate UGC (user-generated contents) in line with the brand, which were able to create interest , interactions and content to be used on Meta ads.

This activity has proven to be anything but trivial, in fact it always involves a phase of research , negotiation (usually we manage to work in exchange for goods), contractualization and follow-up to ensure that everything goes as agreed.

Once we obtained the UGC, we also created ad hoc creatives capable of communicating directly and persuasively about the reasons for purchasing the customer's products.


At this point, we have structured the campaigns on Meta ads in order to effectively cover all levels of the funnel , without taking anything for granted, with the aim of generating the maximum number of conversions and reaching the turnover targets.

Our approach in marketing, as well as in the programming part, is based on tests that allow us to validate, with real and statistically relevant data, the initial hypotheses .

Through an iterative process , we progressively tested , optimized and scaled the campaigns, ending up spending several hundred euros per day to achieve the set objectives .

Current situation

After a 3 month development-only period followed by another 3 months of development and marketing, the monthly KPIs became as follows:

Monthly turnover Medium Cart Conversion rate Revenue per user
Before xxx €22.2 0.58% €0.25
After xxx €62.28 2.41% €1.12
Variation +780% +180% +315% +348%

Average cart performance

average order value

Conversion rate trend

conversion rate

Revenue per user trend

Revenue per user

If you want to learn more about these topics and receive a free consultation for your e-commerce, do not hesitate to contact us!
HERE'S WHAT YOUR E-COMMERCE MUST HAVE TO SELL MORE

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