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

As always, for both new themes and existing themes, we also created settings sets, like the ones below, so that the client can autonomously manage all aspects of the new elements added to the website:

Of course, there were also 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 to carry one out).

Marketing Service

Our data-driven marketing activity 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 convert most visitors into buyers.

By analyzing data, content, 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 as their objective: link clicks, reach, and only a few rare offers were promoted with conversion as an objective).

The first step was to set up search campaigns aimed at covering traffic related to keywords linked to the brand and Performance Max campaigns to leverage shopping, display, and video. In this way, we ensured that we effectively captured the attention of aware users and converted them into customers.

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

This activity proved to be far from trivial, as it always involves a phase of research, negotiation (we usually manage to work in exchange for goods), contracting, and follow-up to ensure that everything goes according to what was agreed.

Once the UGCs were obtained, we also created ad-hoc creatives capable of communicating directly and persuasively the reasons for purchasing the client's products.

At this point, we structured the campaigns on Meta Ads to effectively cover all levels of the funnel, leaving nothing to chance, with the aim of generating the maximum number of conversions and achieving the revenue targets.

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

Through an iterative process, we progressively tested, optimized, and scaled the campaigns, eventually spending several hundred euros per day to achieve the established goals.

 

Current situation

After a period of 3 months of development only, followed by another 3 months of development and marketing, the monthly KPIs have become the following:

Conversion rate trend

Revenue per user trend