Case Study: IGN increases traffic and scales ad spend with Trapica

IGN, How A Large Content Publisher Increased Traffic And Scaled Their Ad Spend

IGN, a large content publisher, wanted to increase traffic from Facebook ads in a cost-effective way while managing campaigns with different objectives. Trapica helped IGN address high CPA and difficulty scaling budgets, using products including Targeting AI and Bidding Optimization.

With Trapica’s AI automating targeting and bidding, IGN was able to optimize each campaign individually and stop manually adjusting criteria. Trapica then enabled Autonomous Scale, helping IGN cut CPA by about 30% in the first few days and scale ad spend while maintaining profitability, with the case study also reporting results of 680%, 230%, and 30%.

IGN