Know what drives your revenue.
Complete CRM data, the patterns that win, the strategy behind them.
Trusted by the world’s best
A CRM you can trust. Complete data first, then what your best reps do differently, then whether the strategy holds.
Every email captured, every call transcribed, and anything else spoken straight into the CRM. Complete data, without anyone typing it in.
Agents read how your team sells: which follow-ups get replies, which openers land, what your best reps do differently. What works becomes what everyone does.
Agents look across every deal to show which customers drive revenue, where you lose them and whether your ICP still holds.
“All CRM work runs through Spiich. We never update Attio manually anymore.”
FAQ
Something we have not answered? Talk to us.
How can I get sales analytics and insights from our CRM data?
Spiich first fills in the CRM: recorded meetings become notes and CRM updates, reps say anything else out loud, and each rep’s connected inbox is read alongside the CRM. On that data, Spiich writes a deal close-likelihood score to a CRM field after a recorded meeting, and the Sales Performance Analysis agent sends a monthly leadership report on what drives revenue, where deals are lost and whether the ideal customer profile (ICP) still holds. The report is read-only research: it does not update CRM records, create tasks or send outreach. See how to set up the Sales Performance Analysis.
How does Spiich find what our sales team should repeat or change?
Spiich’s Sales Performance Analysis agent reads the CRM history, notes, meeting transcripts and connected email behind your deals, then compares what happened in the deals that closed with the ones that did not. Its monthly report states what the team should repeat or change, using individual deals as evidence for team-wide findings, and links each finding to the original sources and the counterexamples it was tested against. See the monthly Sales Performance Analysis.
Can AI do a win-loss analysis of our deals?
Spiich’s Sales Performance Analysis agent writes a monthly report on what helps the team win and grow accounts and what costs it business, reading the CRM history, meeting transcripts and connected email behind won and lost deals, including expansion and renewals. The report keeps patterns found in a few researched deals apart from team-wide figures such as win rate, which need the whole accessible deal population. Between reports, you can ask Spiich in chat which deals were won and lost this month and whether the losses share a reason. See prompts for pipeline and win-loss questions.
How do I check whether our ideal customer profile (ICP) is still right?
Check the ideal customer profile (ICP) against the customers who actually buy, renew and grow. Spiich’s Sales Performance Analysis agent looks across new business, expansion, renewals and repeat purchases to show which customers drive revenue, where the team loses them and whether the ICP still holds. It chooses how far back to look from sales cycles, available outcomes and changes in pricing, customer mix or sales approach, and can compare earlier and recent performance, including an earlier approach that worked better. See how the analysis chooses its history.
Can AI score how likely a deal is to close?
After a recorded sales meeting, Spiich writes a close-likelihood score to a field in your CRM, derived from the meeting, the emails, the CRM history and web research. Each workspace chooses whether the score appears as a percentage, a band or a qualitative verdict. Spiich publishes no accuracy figure for the score.
Do we need to change how we work for the data to be complete?
No. Each rep connects Gmail or Outlook once, and Spiich reads that mailbox with read-only access. Meetings recorded by the Spiich Recorder, or transcripts brought in from Fathom, Fireflies or Google Meet, become meeting notes and CRM updates, and anything else can be said out loud instead of typed. See how Spiich turns calls into CRM updates.
