In parallel with advertising in Google Ads, the college was also promoted on Facebook and Instagram

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Plus, recommendations were prepared for optimizing the site to improve its conversion rate, most of which were applied.

Meta Ads

Before launching the campaigns, we worked out a detailed targeting of el salvador telegram the audiences we planned to launch advertising on. We divided and grouped interests/behavior/job titles into 10+ target audience groups (schoolchildren from Russian-speaking families in Bishkek and their parents; Kyrgyz-speaking schoolchildren in Bishkek; students wishing to change their profession; IT specialists wishing to improve their skills; as well as by design areas - media design, fashion, architecture, creative business, IT business, etc.), which can attract potential clients - each audience had its own unique messages and creatives. After launching the groups, we regularly monitored the results obtained to evaluate the effectiveness of the advertising campaigns.

In addition to traffic campaigns for audiences to the site, we also tested conversion goals and, using A/B testing, left the most effective formats, and launched posts on the college pages for promotion in order to reach new audiences. Thanks to this, the target audience was attracted directly to the profile itself, which was simultaneously active, which is very important. This helped promote targeted events, such as, for example, the “Open Day” and attract visitors.

In addition, of course, we collected a remarketing audience from those who visited the site in order to show ads to the segment of those users who already have an idea about the college and are interested in an educational institution for themselves or their children.

For example, to target advertising to parents, it was important for us to identify segments of users with a high income level and parents of teenagers who are looking for colleges/institutions in the design field. Therefore, we used detailed targeting by interests, GEO, location, age, etc. in our settings, thanks to which we were able to identify the desired target audience.

What other forms of application collection have we tested:

LeadAds lead generation campaigns on Facebook/Instagram. Based on their results, we created a Look-alike audience of those who left LeadAds applications, thus identifying the most interested, and launched new campaigns for warm users.