For teams
One analyst for the whole team.
Marketing wants to know which spend comes back. Product wants to know where people drop. Leadership wants the number for Thursday. BumbleB Crunch answers all of them, from the same data, with how every number was counted.
Live — “We spent the same on our Google and Meta campaigns. How many sign-ups did each bring in, what was our cost per sign-up on each — and is the cheaper one the one that looked cheaper per click?”
Everything your team asks about, in one place
Website and ad ROI
Your site’s clickstream beside your ad-spend exports: cost per real sign-up, by channel and campaign.
Product behavior
Funnels, drop-offs, sources and repeat use, from one tag — joined with your other datasets when the question needs it.
Your database and data lake, in place
Link tables from Postgres or an Iceberg REST catalog and BumbleB Crunch reads them where they are — no copy to maintain. Or sync a database from behind your firewall with your rule for every field.
Sheets, docs and dashboards
Share an answer as a story, pin charts to a dashboard that stays current, or open the data as a sheet with its co-pilot.
Built for more than one person
Seats and roles
Invite teammates with one bill for every seat and usage built into each. Owners, admins and members each see what their job needs.
Lineage you can show
Data home’s lineage explorer traces how each dataset was built, so a number on a dashboard can be traced back to its source.
Analyses that keep running
Start a long investigation, close the tab, and come back to the answer.
Questions to start with
Ask in your own words. Every answer comes with how BumbleB Crunch™ read the question and how it counted.
“Which campaigns brought people who actually signed up — and what did each really cost?”
“Walk me through our funnel. Which step loses the most people?”
“Which traffic source’s visits turn into customers most often?”
“Why did the quarter go flat? Split it for me.”
Watch it work
Investigations a team would run
Ad spend that comes back, a source worth the spend, a flat quarter split open.
The spend that comes back
“We spent the same on our Google and Meta campaigns. How many sign-ups did each bring in, what was our cost per sign-up on each — and is the cheaper one the one that looked cheaper per click?”
Ad spend joined to website behavior: $12,000 each, but Google brought 960 sign-ups to Meta's 480 — $12.50 a sign-up against $25.00. Meta looked cheaper per click ($0.75 vs $2.00); the cheap clicks were the expensive sign-ups.
The source worth the spend
“Which traffic source's visits turn into sign-ups most often — and is it the one sending the most visits?”
Volume and quality name different sources: paid sends 16,000 visits to organic's 8,000, but organic converts at 30% against paid's 7.5%.
The flat quarter, split
“Revenue's flat quarter over quarter. Overall, what changed underneath — the number of orders or their size — and in which region is the order size moving?”
An orders table, no tracking involved: orders rose from 8,000 to 8,800 while the average order shrank — and it's all the West, down $40 an order while every other region rose.
Which plan
Team plans start from two seats and add your own data lake, sync from behind your firewall, the lineage explorer and the Expert level. Need something shaped around your scale or security? Business plans are arranged with us.
Compare plans → Request a demoFor Business plans. Sales will get in touch.