Case: Advertising campaign for online courses
Case: Advertising campaign for online courses
Task: Attract leads for online courses through targeted advertising on Facebook and Instagram. The goal of the campaign was to ensure high efficiency within a budget that allows for attracting large volumes of applications at an affordable price.
Execution steps:
1. Audience analysis:
Targeting was set up for active users interested in learning, developing new skills, and obtaining new certificates. This included demographic data, interests, and behavioral factors.
2. Launching ads:
The campaign was divided into several groups to test different creative options and target audiences.
3. Optimization:
Continuous adjustments were made through A/B testing, which allowed for finding the most effective creatives and targeting.
Results:
Total number of applications: 23,907
Average cost per application: $0.55
Total campaign budget: $5,141.84
Total number of impressions: 715,955
Average cost per 1,000 impressions (CPM): $7.18
Number of clicks: 29,469
CPC (cost per click): $0.17
CTR (click-through rate): 4.12%
Conclusions:
The campaign demonstrated high efficiency with a low cost per application and good audience engagement results.
The cost per 1,000 impressions and per click were optimized through testing and adjusting creatives.
Overall, the campaign allowed for achieving the set business goals and ensuring a steady flow of leads for the client within a limited budget.
Collaboration period: 8 months.
Task: Attract leads for online courses through targeted advertising on Facebook and Instagram. The goal of the campaign was to ensure high efficiency within a budget that allows for attracting large volumes of applications at an affordable price.
Execution steps:
1. Audience analysis:
Targeting was set up for active users interested in learning, developing new skills, and obtaining new certificates. This included demographic data, interests, and behavioral factors.
2. Launching ads:
The campaign was divided into several groups to test different creative options and target audiences.
3. Optimization:
Continuous adjustments were made through A/B testing, which allowed for finding the most effective creatives and targeting.
Results:
Total number of applications: 23,907
Average cost per application: $0.55
Total campaign budget: $5,141.84
Total number of impressions: 715,955
Average cost per 1,000 impressions (CPM): $7.18
Number of clicks: 29,469
CPC (cost per click): $0.17
CTR (click-through rate): 4.12%
Conclusions:
The campaign demonstrated high efficiency with a low cost per application and good audience engagement results.
The cost per 1,000 impressions and per click were optimized through testing and adjusting creatives.
Overall, the campaign allowed for achieving the set business goals and ensuring a steady flow of leads for the client within a limited budget.
Collaboration period: 8 months.