With rising ad costs, marketers are recognizing that acquiring any new customer is no longer sufficient. Ideally, customer spend should be high and ad costs low to grow profitably. So how do you define – and find more of – these high value customers?
How do your new customers differ from returning customers? One-time purchasers vs multi-purchasers? Highest vs. lowest LTV customers? Discount purchasers vs. full price? Learn ways to use comparative analytics to fine-tune marketing efforts.
In our last webinar, we talked about using brand personas in your marketing strategy. We’re taking it a step further to explore how product and channel affinity varies by persona.
Your key customer personas can influence everything from your brand’s voice to your choice of creative, where you advertise, and more. Learn how to determine personas and use them for growth and remarketing efforts.
Today’s marketers know that casting a wide net is not the best way to win new business or retain existing customers. By positioning the right products with the right audiences, you can create more successful campaigns and spend your ad budget efficiently.
Customer acquisition cost (CAC) is notoriously difficult to calculate. Some understate CAC value, some over-estimate, and some should be used primarily for benchmarking purposes. To top it off, recent privacy changes are making calculations even more difficult.
Predictive analytics allows you to use your existing historical data to make informed predictions about customer behavior. From re-engaging customers to increasing retention, improving LTV, and beyond, predictive analytics can make a significant impact on your business. We’ll disucss the functionality, methodology, and customer use, and how to take action on predictive analytics reports.