Home » Shirofune unlocks predicted LTV & new customer metrics for Amazon Ads

Shirofune unlocks predicted LTV & new customer metrics for Amazon Ads

by Lila Hernandez

Shirofune’s Integration with Amazon Marketing Cloud Unlocks Predicted LTV & New Customer Metrics for Amazon Ads

Shirofune, a leading marketing analytics platform, has recently announced its new integration with Amazon Marketing Cloud. This integration brings a game-changing feature to the table by adding predicted Lifetime Value (LTV) and new customer metrics to the arsenal of tools available to advertisers. By leveraging these advanced metrics, advertisers can now optimize their Amazon Ads not just for immediate returns but also for long-term value and customer retention.

The inclusion of predicted LTV in Amazon Ads is a significant development for advertisers looking to maximize their ROI on the platform. By forecasting the potential lifetime value of customers acquired through Amazon Ads, advertisers can make more informed decisions about their ad spend and targeting strategies. This predictive data allows advertisers to prioritize high-value customers, tailor their messaging to resonate with this segment, and allocate their budget more efficiently to drive long-term revenue growth.

In addition to predicted LTV, Shirofune’s integration with Amazon Marketing Cloud also provides new customer metrics that offer valuable insights into the behavior and preferences of customers acquired through Amazon Ads. Advertisers can now track metrics such as repeat purchase rate, average order value, and customer lifetime value for new customers specifically acquired through their Amazon campaigns. This granular level of insight enables advertisers to understand the true impact of their Amazon Ads on customer acquisition and retention, leading to more effective campaign optimization and increased ROI.

The ability to access predicted LTV and new customer metrics directly within the Amazon Marketing Cloud platform streamlines the optimization process for advertisers. Instead of relying on disparate data sources and manual calculations, advertisers can now access these critical metrics in real-time, allowing for agile decision-making and proactive campaign adjustments. This seamless integration empowers advertisers to stay ahead of the competition, maximize their advertising dollars, and drive sustainable growth on the Amazon platform.

To illustrate the impact of predicted LTV and new customer metrics on Amazon Ads optimization, consider a scenario where an advertiser runs multiple ad campaigns targeting different customer segments. By analyzing the predicted LTV of customers acquired through each campaign, the advertiser can identify which segments are generating the highest long-term value and adjust their targeting and messaging accordingly. Similarly, by tracking new customer metrics such as repeat purchase rate and customer lifetime value, the advertiser can refine their campaign strategies to focus on acquiring high-value customers with strong retention potential.

Overall, Shirofune’s integration with Amazon Marketing Cloud represents a significant advancement in the field of Amazon Ads optimization. By unlocking predicted LTV and new customer metrics, advertisers now have access to the insights they need to drive sustainable growth, maximize ROI, and build long-lasting customer relationships on the Amazon platform. As competition in the e-commerce space continues to intensify, leveraging advanced analytics tools like Shirofune becomes essential for advertisers looking to stay ahead and succeed in the ever-evolving digital landscape.

Shirofune, Amazon Ads, LTV, Customer Metrics, Advertising Strategies

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