Case Study: Parts Manufacturer | Optimization of Advertising and Improvement of Targeting Accuracy through AI
Maximize results while reducing advertising budget by 25% through AI-driven operational optimization!
This is a case study of a parts manufacturer that improved targeting accuracy and lead acquisition efficiency through AI-driven advertising optimization. Challenges: There were many leads from advertisements, but the probability of them leading to business negotiations was low. Previous advertising operation data was not utilized, resulting in unnecessary advertising budget expenditures. Advertisements were not reaching the appropriate target audience, leading to inconsistencies in the quality of inquiries. Measures: Introduction of AI advertising operations: Analyzed past lead data to identify the target audience with the highest conversion rates. Optimization of creatives: AI automatically analyzed the performance of advertisements and made automatic changes to creatives with high CTR (click-through rates). Automatic adjustment of ad distribution: Ads were delivered only to the most effective targets based on time, region, and device. Results: The conversion rate of advertisements improved by 40%, and the cost per lead decreased. The ratio of leads that led to business negotiations increased by 50%, improving the cost-effectiveness of advertisements. Through AI-driven operational optimization, advertising budgets were reduced by 25% while maximizing results.
- Company：homula
- Price：Other
