Utilities App in Lithuania

Pay Bills and Other Utilities

Driving Scalable Growth for a Utility App Through Data-Driven Paid Acquisition

Driving Scalable Growth for a Utility App Through Data-Driven Paid Acquisition

CPA$0
50.65%
CVR0%
32%
Install rate0%
10%
Installs0
5%

Overview

Overview

An utilities app has a userbase of registered users who sign up on the app to pay their utilities bill. The app has both Android and iOS versions. Their goal is to retain active users in the app and have them pay their bills and subscription consistently through their app. They have different channels of marketing including traditional channels and also brand awareness and performance marketing when it comes to digital marketing.

The Challenge

The Challenge

The team was facing several challenges. They were related to challenges towards acquiring high quality users and as well costs of acquiring new users. They needed strategies, marketing and acquisition tactics that would help them make the process of acquiring higher users without drastically increasing costs.

What I did

What I did

I started with a full audit of their advertising channels. To identify what were the current processes in terms of campaign strategy, targeting, creatives testing and overall hygiene. There were several things that needed to be changed. There was a lack of strategy in terms of how campaigns were launched and targeting that were tested. They were also targeting users who were easy to acquire at a cheaper cost but they were churning very fast. They had the budget but not the structure and the alignment. I conducted a deep analysis of audience signals to identify which segments were converting best and engaging at the lowest cost, and analyzed creative performance to understand what resonated most with the audience in terms of tone, elements, and messaging. Based on these insights, I built a two-month creative strategy focused on multiple A/B tests, reviewed conversion data to design testing strategies across CPI, CPA, and ROAS campaigns, and assessed historical performance to account for seasonality and its impact on results.