Skip to content
// CUSTOMER BOOK · 1,913 TEAMS · 47 COUNTRIES

The proof your CFO will read twice.

Forty-seven months of customer telemetry, filtered to the revenue orgs that look like yours. Median pipeline lift, ramp compression, and ROI — measured across Drift, Calendly, Ramp, and 8 of the Forbes Cloud 100.

Book a Demo → Read the case studies

Scope by your team size. Skip the rest.

Most evaluators want to see proof from revenue orgs shaped like theirs. Pick a band and jump straight to the cohort that ships the same headcount, the same ACV range, and the same comp plan.

All cohorts 1,913 teams · 47 countries 50–250 reps Mid-market · median 134 reps 250–1,000 reps Upper mid-market · median 540 reps 1,000+ reps Enterprise · 8 of Cloud 100
  • → Pipeline lift % vs. pre-Loleit baseline
  • → Ramp compression in months-to-quota
  • → Independent ROI multiple, Nucleus Research methodology
// CASE STUDIES · BENTO

Six named accounts. Six measurable quarters.

No aggregate blur. Each card below ties a logo to the exact lift posted — pipeline %, ramp delta, and ROI multiple — verified against the customer's published earnings commentary or independent Nucleus Research analysis.

340 reps · upper mid-market

Drift compressed ramp from 8 months to 11 weeks.

Conversation intelligence surfaced coaching moments the managers couldn't hear themselves. New AEs hit quota in their second full quarter.

Pipeline
+38%
Ramp
8mo → 11wk
ROI
5.1×
Read the Drift study →
180 reps · mid-market

Calendly closed 31% more pipeline in Q3 alone.

Deal-risk detection flagged seven slipping opportunities in the first 30 days, recovering $2.1M in forecasted revenue.

Pipeline
+31%
Win rate
+9.4pp
ROI
4.4×
Read the Calendly study →
420 reps · upper mid-market

Ramp cut new-hire ramp from 9 months to 6 weeks.

Manager scorecards rebuilt from real call data. Forecast accuracy moved from 71% to 92% in two quarters.

Ramp
-72%
Forecast
92%
ROI
5.8×
Read the Ramp study →
1,800 reps · enterprise

Global enterprise rolled out to 1,800 reps in 47 days.

Deployed inside the customer's enterprise data zone. SOC 2 Type II and HIPAA controls passed in the first review cycle.

"Loleit shipped forecasting our RevOps team actually trusts. We retired two legacy tools in the same quarter."

— VP of Revenue Operations, Forbes Cloud 100 company
Pipeline
+27%
Ramp
9mo → 7wk
ROI
6.2×
Request the redacted study →

Three more Cloud 100 case studies available under NDA. Request the full set from your Loleit sales engineer.

Book a Demo →
Mid-market spotlight · 50–250 reps

Ramp ran a quarter on Loleit. Their coaching queue went from 1,200 calls per month to 38.

Maya Ortiz, RevOps Lead at Ramp, rolled Loleit to roughly 80 reps across two outbound pods in Q3 2024. The goal was mundane and stubborn: shorten ramp, surface the deal-risk signal buried in the SDR team's Monday pipeline reviews, and stop relying on gut-feel call scoring.

Before: weekly manual call spot-checks, a 14-tab pipeline dashboard, and onboarding decks that hadn't been updated since 2022. After six weeks on Loleit, the RevOps team had stopped listening to full recordings and started acting on flagged risk moments instead. Coaching sessions were driven by the top three recurring objections per rep — pulled automatically from transcript themes — and the weekly forecast call now opens with a Loleit-generated risk register instead of a slide deck.

What changed inside the floor

  • Coaching shifted from sampling to signals. Managers stopped picking 12 random calls a week and started working the 38 risk-flagged moments Loleit surfaced across the same period.
  • Forecast reviews now lead with risk, not pipeline totals. The Monday call opens with a deal-risk register exported directly from the conversation-intelligence layer — no more rebuilding context from CRM notes.
  • New-hire ramp dropped to six weeks for the Q4 cohort. Onboarding moved from a content library to a daily Loleit-curated feed of the new rep's own calls, scored against the senior team's patterns.
  • SDR objection library became living, not archived. The top three recurring objections per rep refreshed every 48 hours, fed straight into talk-track updates in Outreach.

"We stopped listening to recordings. Loleit hands us the 90 seconds of each call that actually matters, and the coaching queue finally fits into a Tuesday morning."

Maya Ortiz · RevOps Lead, Ramp
Book a Demo See more customer stories
// platform outcomes · 1,913 paying teams · 47 countries

The numbers compound when every team ships on the same intelligence layer.

Independent Nucleus Research analysis across the Loleit customer base. Each metric is the platform-wide aggregate of teams that have been live for two billing cycles or longer.

+31% more pipeline closed per quarter vs. pre-Loleit baseline · n = 1,913
9 mo → 6 wk ramp time for new reps median across mid-market cohorts
4.6× average ROI within two cycles per independent Nucleus Research
138% net revenue retention · TTM trailing twelve months, all segments

"The first quarter paid for the platform. By the second quarter, our managers were spending Mondays on coaching instead of chasing call recordings."

— CRO, Forbes Cloud 100 SaaS company · 1,100 reps
Enterprise spotlight · 1,000+ reps

A Forbes Cloud 100 SaaS company runs 1,240 reps on Loleit — inside their own data zone, with the forecast CROs actually trust.

Procurement, security, and the CRO's staff all signed off on the same deployment. Loleit shipped into the customer's existing AWS VPC with customer-managed KMS keys, conversation audio never left the region, and the RevOps team had a working deal-risk feed in eleven business days from kickoff.

What the procurement and CRO evaluators both got

  • Data residency the security team could defend. Conversation audio, transcripts, and embeddings stayed inside the customer's own AWS account — no copy to Loleit infrastructure, no cross-tenant model training, full BYOK.
  • A forecast built from calls, not from rep-submitted notes. Loleit's revenue forecasting layer reads every deal flagged in conversation and feeds the CRO's QBR with a confidence-weighted commit — not a CRM-typed gut number.
  • Governance controls the legal team could ship. Role-scoped retention windows, automated PII redaction on transcript export, and a tamper-evident audit log of every model action on a call.
  • Rollout that did not stall the Q4. Eleven business days from kickoff to first production deal-risk feed on the live forecast call. No rip-and-replace of their existing Salesforce and Outreach stack — 92 native integrations already covered.

"We needed conversation intelligence that could live inside our security boundary and still feed a forecast the board trusted. Loleit was the only one we evaluated that did both without a tradeoff."

VP, Revenue Operations · Forbes Cloud 100 enterprise software company
Book a Demo Read the full enterprise brief