I gave two talks at Dreamforce, a show where the stakeholder who matters most never came up
I spoke twice at Dreamforce this year. The first talk was about a category gap: agents are the new front…
I spoke twice at Dreamforce this year. The first talk was about a category gap: agents are the new front…
Part 2 of 2. Part 1: We replaced mmap with io_uring in our Rust query engine. It got slower. Part…
In the beginning, there was mmap. It was convenient: it let us lazily read huge numbers of Arrow IPC files…
This recognition validates our mission to transform how enterprises understand and act on consumer interactions.
Conviva’s Data Feeds provide a rich, compact source of data that is easy to work with and cost-effective. Conviva aggregates every aspect of each user’s interaction into a single line, allowing you to focus on high-value analysis.
Introducing Conviva Cohort Replay (Beta): Turn anomalies into answers with Conviva Cohort Replay (Beta) — Watch real user sessions to avoid wasted analysis and optimize performance.
Conviva is named a G2 Fall 2025 Leader in Digital Analytics, with top rankings in DEM, ease of implementation, and regional growth.
This playbook reveals five hidden pain points that keep product teams stuck in reactive mode, and the proven strategies that leading digital organizations use to break through.
Discover how a single atomic counter caused a major slowdown in Conviva's high-scale streaming analytics platform. This post unpacks the concurrency pitfalls behind a mysterious latency spike and offers lessons for Rust developers working with DAGs, actor models, and shared state.
Discover how automated high-cardinality cohort analytics can prevent misleading product insights, avoid Simpson’s paradox, and drive smarter decisions with Conviva’s next-gen Operational Data Platform.
Discover how poor digital experiences are driving 91% of consumers to frustration, causing 55% to abandon purchases and 50% to switch competitors. Learn the hidden costs of digital friction and proven strategies to deliver for your customers.
When your north star business metric — whether it’s conversions, engagement, bookings, or another KPI — declines, do you immediately know why? How long does it take to get answers? How many people need to be involved? And how often do you never actually pinpoint the cause? On the flip side, you want to increase conversions. Do you know what levers to pull or are you always guessing?