Marketing & AdTech

How Ampush Cut Total Cost of Ownership by 50% After Migrating from Tableau to Knowi

Ampush, one of Facebook's earliest marketing partners (acquired by Tinuiti in 2023), migrated from Tableau to Knowi and reduced their total cost of ownership by 50%. The growth marketing company, which scaled Dollar Shave Club from 25,000 to 3 million subscribers and Uber from 10 to 600 cities, uses Knowi's dataset-as-a-service capabilities for 90% of their data transactions, automated report generation replacing manual processes, and real-time data pushes to analysts on hourly, daily, and weekly schedules.

"The smartest decision is to build data architecture around Knowi. We could see not just operational benefits, but our TCO costs go down by 50%."
Maksim Pavlishin, Head of Engineering at Ampush

Complex NoSQL Infrastructure with No Efficient Reporting Layer

In 2015, Ampush shifted from spending-based compensation to earnings based on incremental revenue and customer acquisition. This fundamental business model change required deeper analytical capabilities across design, conversion optimization, attribution analysis, and post-purchase behavior.

However, the company's existing analytics tools were inadequate for the advanced media metrics they needed to track:

  • Complex data infrastructure reliant on NoSQL databases
  • No efficient integration, reporting, or visualization methods for NoSQL data
  • Existing analytics tools inadequate for advanced media metrics
  • Manual report generation consuming engineering resources
  • Required deeper analytical capabilities across design, conversion optimization, attribution analysis, and post-purchase behavior

The inability to efficiently query and visualize their NoSQL data created a bottleneck that limited Ampush's ability to deliver the data-driven performance their clients expected.

"The smartest decision is to build data architecture around Knowi. We could see not just operational benefits, but our TCO costs go down by 50%."
Maksim Pavlishin
Maksim Pavlishin
Head of Engineering, Ampush

Dataset-as-a-Service Powering 90% of Data Transactions

Ampush migrated from Tableau to Knowi for its native NoSQL connectivity, enabling direct querying and visualization of their complex database infrastructure without requiring data extraction or transformation layers.

Knowi's dataset-as-a-service functionality quickly became the backbone of Ampush's data operations, handling 90% of all data transactions across the organization. The platform delivered several key capabilities:

  • Automated report generation replacing manual processes entirely
  • Real-time data pushes (hourly, daily, weekly) to analysts instead of requiring them to query platforms
  • Dataset API processing large datasets in a fraction of previous time
  • Self-service BI enabling non-technical team members to access data independently
  • Built a team of 10 Knowi analyst experts, many without extensive programming backgrounds

By pushing data to analysts on automated schedules rather than requiring them to pull from multiple platforms, Ampush fundamentally changed how their organization consumed and acted on data.

50% Cost Reduction with Organization-Wide Data Access

50% TCO Reduction

Cut total cost of ownership in half after migrating from Tableau to Knowi's integrated analytics platform.

90% Dataset-as-a-Service

Dataset-as-a-service capabilities now power 90% of all data transactions across the organization.

Automated Reporting

Replaced manual report generation with real-time data pushes to analysts on hourly, daily, and weekly schedules.

10 Analyst Experts

Built a team of 10 Knowi analyst experts, many without extensive programming backgrounds, democratizing data access.

Frequently Asked Questions

Ampush migrated from Tableau to Knowi because their complex NoSQL database infrastructure lacked efficient integration, reporting, and visualization methods with Tableau. Knowi's native NoSQL connectivity and dataset-as-a-service capabilities handled 90% of their data transactions, while reducing total cost of ownership by 50% and eliminating the need for manual report generation.
Knowi's dataset-as-a-service allows organizations to process, transform, and deliver datasets via API. Ampush uses this capability for 90% of their data transactions, with the Dataset API processing large datasets in a fraction of the time their previous infrastructure required. This enables real-time data pushes to analysts on hourly, daily, and weekly schedules.
Yes. Ampush built a team of 10 Knowi analyst experts, many without extensive programming backgrounds. Knowi's self-service BI capabilities and user-friendly interface enabled non-technical team members across the marketing organization to access and analyze data independently, without requiring engineering resources.