Teams that talk to their customers at a scale people cannot
Fintechs, lending teams, neobanks, and B2B SaaS companies use Boom to reach customers a human team never could, recover the ones slipping away, and turn every conversation into something they can act on.
Trusted by teams that grow with Boom
Start with research, then put the rest of the workforce to work
Most teams begin where the pain is sharpest: talking to customers to learn why they stay, why they leave, and what they would pay for. Retention, onboarding, and win-back then run on that same shared context, so the intelligence compounds with every customer reached.
- Research opens the door; retention and win-back compound on the same context
- One shared context across every channel and use case
- Conversations turned into reasons and patterns you can act on
What teams reach with the workforce
Real deployments, anonymized by industry. Most of these are research pilots, where teams start. Retention, win-back, and onboarding build on the same context. Your own numbers depend on your base and use case.
- 450 → 70
A neobank reached 450 customers and held 70 effective conversations in about a week, work that would take one person many days.
Customer research pilot, neobank
- 15 in 2 days
A lending team ran 15 effective customer interviews in two days, versus 2 done by hand in a full week.
Customer research pilot, lending
- 97 → 74
A B2B SaaS team gathered 97 responses and turned 74 of them into deep conversations worth analyzing.
Research pilot, B2B SaaS
See what it looks like on your customers
Pick the outcome you want to see proof of and we will run it on your own base in the demo.