Increase marketing efficiency and lower operating costs
Success for marketing is changing. It is no longer just about growth, new customers, and logos, it’s about executing with efficiency. Marketing is now tasked with measuring both channel and campaign contributions to optimize their spending. Identifying ways to reduce overlap and get better ROAS and ROI can drive efficiency.
Key use cases include:
- Multi-touch attribution and channel revenue optimization
- Cost of acquisition, LTV, and Customer Churn
- Back-office analytics
- Measuring the TCO for campaigns and martech
Are you drawing the right conclusions from your customer data?
Your customers and prospects prefer to interact with companies who know them and offer a positive value exchange. Having insights on customer interactions, campaign performance, and channel revenue optimization helps fuel a connected customer experience.
Treasure Data delivers marketing insights and allows you to:
Share customer data across teams
Quickly respond to global market changes and trends
Increase marketing efficiency and lower operation costs
Using your own data to identify the cost of acquisition, customer lifetime value, and churn rates helps you focus on your most profitable customers. This focus enables you to optimize your global marketing spend and operation efforts.
“Treasure Data CDP for Marketing is now our playground to understand our customers and do things like better targeting and segmentation, and predictive analytics. It’s also our single source of truth for the whole company, which is just what we needed.”
Tessa Bicard
VP of Marketing, Trifecta Nutrition
Technical Benefits
Boosting Campaign Performance
Marketing insights from multi-touch attribution and campaign performance reduce risk and highlight upcoming global trends. By using these insights to make decisions, you can increase revenue, build trust, and increase share of wallet. Treasure Data shows you how to interpret campaign performance and channel revenue results.
Finding the Agility to Innovate
Combining customer data with Machine Learning allows marketing, data, and operations teams to apply the data and become more agile in their approach to enhance the customer experience. This visibility increases transparency and agility across your global organization.
Data-driven Customer Insights for Customer Strategy
Using customer data to determine churn, customer Lifetime Value (LTV), and Cost of Acquisition (CAC) can dramatically increase your marketing efficiency. Deep insights from the data can help you understand your customers’ attitudes around aspects of their customer experience including pricing, customer service, and engagement.
See it in action
