Case: Advertising on a complex topic for a credit broker
Platforms: Facebook and Instagram
Duration of cooperation: 12 months
Project goal:
— Attracting quality applications for credit services.
— Reducing lead cost and optimizing advertising budget.
— Increasing conversion and effectiveness of advertising campaigns.
Implementation
▸ Strategy development
— Detailed analysis of the target audience and formation of three main segments.
— Launching A/B testing of creatives and advertising offers.
— Using Lookalike audiences to scale successful campaigns.
▸ Campaign setup
— Advertising formats: Lead Ads and conversions on the website.
— Using retargeting to attract warm leads.
— Testing different types of creatives (videos, carousels, static banners).
▸ Optimization
— Analyzing effectiveness and excluding unprofitable audience segments.
— Working on increasing CTR and reducing CPC.
— Using dynamic creatives for automatic testing of the most effective options.
Results
— Total number of applications: 23,907
— Average cost per application: $0.46
— Total budget: $11,016.20
— Average CTR: 4.51%
— CPC: $0.14
Thanks to deep analysis, proper audience segmentation, and constant optimization, it was possible to achieve the lowest lead cost, significantly increasing the profitability of the advertising campaign.
Duration of cooperation: 12 months
Project goal:
— Attracting quality applications for credit services.
— Reducing lead cost and optimizing advertising budget.
— Increasing conversion and effectiveness of advertising campaigns.
Implementation
▸ Strategy development
— Detailed analysis of the target audience and formation of three main segments.
— Launching A/B testing of creatives and advertising offers.
— Using Lookalike audiences to scale successful campaigns.
▸ Campaign setup
— Advertising formats: Lead Ads and conversions on the website.
— Using retargeting to attract warm leads.
— Testing different types of creatives (videos, carousels, static banners).
▸ Optimization
— Analyzing effectiveness and excluding unprofitable audience segments.
— Working on increasing CTR and reducing CPC.
— Using dynamic creatives for automatic testing of the most effective options.
Results
— Total number of applications: 23,907
— Average cost per application: $0.46
— Total budget: $11,016.20
— Average CTR: 4.51%
— CPC: $0.14
Thanks to deep analysis, proper audience segmentation, and constant optimization, it was possible to achieve the lowest lead cost, significantly increasing the profitability of the advertising campaign.