How Fast Insights Improve Customer Acquisition: The Real Growth Lever You’re Not Using
How Fast Insights Improve Customer Acquisition: The Real Growth Lever You’re Not Using
Customer story
|
November 7, 2025
2x
conversion rates at checkout
8.2%
increase in click rate
Industry
Transportation
Company size
5,000
“Speed is everything at our scale. Anylytics helped us move from waiting for reports to acting on insights in real time.”
— Alec Baldwin, Senior Product Manager at Uber
Uber operates one of the world’s most complex, data-driven marketplaces. Every decision — from pricing to rider experience to driver incentives — depends on fast, accurate, and actionable insights. With teams spread across Growth, Operations, Marketplace, and Engineering, Uber relies heavily on analytics to guide day-to-day decisions.
Despite having massive internal data infrastructure, many teams still struggled to get the reports they needed quickly. Custom dashboards, region-specific comparisons, and performance breakdowns often required engineering or analyst involvement. That meant delays, context switching, and growing backlogs.
What should have been simple questions — “Which markets are dipping this week?” “How did a promo perform yesterday?” — sometimes took days to answer.
As one Uber operations lead put it:
“We had the data, but not the speed. Even small reporting requests slowed down experiments.”
This bottleneck made it difficult for teams to iterate quickly or respond to live changes in rider and driver behavior.
To reduce reliance on engineering for everyday reporting, Uber tested Anylytics as a way to empower non-technical teams to build and modify reports on their own.
The rollout was straightforward: connect existing data sources, set role-based permissions, and allow teams to explore data directly through Anylytics’ Report Builder, conversational Copilot, and collaborative Canvas workspace.
Suddenly, teams no longer needed to file tickets or wait for dashboards. They could simply ask questions in plain English, build charts instantly, merge datasets when needed, and share insights with leadership — all without engineering support.
An engineering manager described the shift simply: “We stopped waiting for insights — we just asked for them.”
The result was immediate and noticeable across teams.
Teams began generating their own reports in minutes, freeing engineers from routine analytics tasks and giving analysts more time for deeper strategic work. Decision-making sped up dramatically — especially among marketplace and regional operations teams who rely on fast iteration.
Leaders also gained faster visibility into what was happening across markets, without asking for slides or waiting for scheduled updates. Insights became something teams could pull instantly, not something they waited to receive.
As one data analyst summarized:
“We stopped waiting for insights — we just asked for them.”



