Plick – Driving installs with a multi-channel strategy

User growth in 2020


Precis were able to enhance performance by localising Plick’s core users across platforms through channel experimentation and detailed demographic segmentation, resulting in a YoY monthly active user growth of 300%.

Decrease in cost per install


By feeding platform algorithms with user behaviour signals, the efficiency in targeting increased significantly and Plick’s Cost per Install decreased by 61%.

Increase in click through rates


By experimenting with ad content, Precis helped Plick identify what the user wants and what resonated with them. By basing their social media marketing on user-generated content we increased ad Click Through Rate by 139%.

  • Through our partnership with Precis, we’ve seen our marketing investment reach all-time highs. By working closely together we’ve been able to stay one step ahead and establish a near automated marketing machine.

    Jimmy Heibert
    CEO Plick

Success factors

1. User-generated content

Mixing user-generated content with dynamic product ad formats provided a feed based and automated marketing engine, where algorithms did the heavy lifting.

2. Signal-based targeting

Detailed targeting combined with in-app based signals proved to be incredibly efficient in driving down install and sign up cost while continuously pushing in-app activity to new heights.

3. Creative testing

Continuous and structured testing of creative assets gave efficient production sprints and ultimately higher clicks throughs.

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