Rudderstack’s hosted cloud option charges by the event instead of user, significantly reducing the penalty for sites with high bounce rates and low conversion rates (View Highlight)
Segment’s Monthly Tracked Users (MTU) pricing approach means that a B2C eCommerce site with visitors that rarely convert, browse once and never return pays the same as a B2B site with high-value, logged-in frequently returning users that are far more likely to respond to personalized user journeys and precisely (View Highlight)
They do this is by not holding any of your event data in their own cloud storage, relying on you the customer streaming those events into your own cloud data warehouse.
Which is great, in-fact, if like most businesses you’re looking to own your own first-party data and store it the same location as your legal jurisdiction. What’s not so great is finding out that your backup has failed and then realising that Rudderstack doesn’t have a copy either (View Highlight)
Note: Rudderstack pro: direct connection to dwh
Con: bring your own backup strategy
consume Snowplow as a managed service through another one of our partners, SnowcatCloud, who take care of all the hosting, configuration, scaling and monitoring for you; and in an age where third-party cookies are disappearing and services like Google Analytics uses machine learning to fill-in the gaps in user data they no longer connect, SnowcatCloud’s new Snowplow-based Iceberg identity graph service offers the promise of still being able to build a complete, 360-degree view of all customer interactions across all of their devices (View Highlight)
Data CDP. These systems gather customer data from source systems, link data to customer identities, assemble unified customer profiles, and store the results in a database available to external systems … In practice, these systems also can extract audience segments and send them to external systems. Systems in this category often employ specialized technologies for data management and access. Some began as tag management or Web analytics systems and retain considerable legacy business in those areas. (View Highlight)
Analytics CDP. These systems provide the features of a data CDP plus analytical applications. The applications always include customer segmentation and sometimes extend to machine learning, predictive modeling, revenue attribution, and journey mapping. These systems often automate the distribution of data to other systems. (View Highlight)
Campaign CDP. These systems provide data assembly, analytics, and customer treatments. What distinguishes treatments from segmentation is that treatments can be different for different individuals within a segment. Treatments may be personalized messages, outbound marketing campaigns, real time interactions, or product or content recommendations. These systems often include features to orchestrate customer treatments across channels. (View Highlight)
Delivery CDP. These systems provide data assembly, analytics, customer treatments, and message delivery. Delivery may be through email, Web site, mobile apps, CRM, advertising, or several of these. Products in this category often started as delivery systems and added CDP functions to support advanced analytics, personalization, or multi-channel campaigns. (View Highlight)
