Vertically-integrated product analytics tools collect and ingest customer data outside your secure environment, creating security and privacy concerns. This silo also makes it difficult to provide a complete and consistent view of the customer journey.
Data is duplicated when event data is exported to the warehouse or when reverse ETL is used to move snapshots back. This leads to inconsistent data between BI and product analytics tools.
You are inundated by time-critical requests for one-off reports. Authoring new queries is time-consuming, especially for funnels. BI tools were never designed for event-oriented time series data.
You pay for product analytics based on event volumes, which is expensive and difficult to predict and budget. You even pay for the data you don’t use, but removing data limits the depth of analysis.
