Integrated Customer Data for Triggered Target Audiences
October 08, 2021
Integrated Customer Data for Triggered Target Audiences
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Treasure Data
Treasure Data is being used to create a unified customer view across first-party customer data, CRM data, e-commerce orders, web visitors, mobile app users, ad impressions, email activity, SMS activity, and social activity that is the basis for higher-performing targeted audiences and activations.
Pros
- Catalog of existing integrations.
- End-user friendly segment definitions and queries.
- Predictive and cluster models.
- High up-time and operations response times.
Cons
- Unified customer reporting view.
- Log details and operations debugging.
- We had 111% increase in response rate on targeted emails.
- We got a 3x click-through rate increase.
- Increased addressability of consolidated customer file by 40%.
- Keeping prospective audiences anonymous for analysis and targeting, while also being able to merge PII to activate to ad audiences.
- Using large volumes of location-based data to profile users who pass by a lat/long to determine the best advertising options, or choosing the best store location.
- Tealium AudienceStream and Salesforce Marketing Cloud Interaction Studio (formerly Evergage + MyBuys)
Both Tealium and Evergage are mostly focused on online sources. They don't have as easy or robust data model capability to ingest CRM, e-commerce, or offline data. Bluevenn has good identity resolution like TD, but the Unify data processes/model are not exposed to the customer to modify or develop data load workflows.
Do you think Treasure Data delivers good value for the price?
Yes
Are you happy with Treasure Data's feature set?
Yes
Did Treasure Data live up to sales and marketing promises?
Yes
Did implementation of Treasure Data go as expected?
Yes
Would you buy Treasure Data again?
Yes
Comments
Please log in to join the conversation