Case Studies – YallaSaaS

Vertical SaaS

14d → 7d Close cycle

Vertical SaaS — Series B

$22M ARR · 6 entities · Prepping Series C

Close was a 14-day marathon. Deferred revenue was a mess. The lead investor for the Series C wanted audit-ready numbers in 60 days and a defensible ARR bridge for the last 8 quarters. We rebuilt rev rec under ASC 606, cleaned cohorts, and delivered the Series C data room on time.

“The Series C lead said it was the cleanest diligence book they'd seen from a SaaS at our stage.”

7 days

Close cycle

$40M

Series C raised

0

Audit findings

DevTools

guess → 47 Rule of 40

DevTools platform — Series A

$6M ARR · Founder-led finance · Usage-based pricing

Founders were running finance in spreadsheets. Unit economics were unclear, usage-based billing didn't reconcile cleanly to rev rec, and the board was flying blind on payback. We built a driver-based model, rebuilt cohorts, and stood up a proper board pack.

“For the first time, we actually know whether our new customer acquisition is paying back. Our Rule of 40 went from guess to fact.”

47

Rule of 40

11 mo

CAC payback

118%

NRR

Horizontal B2B

3 → 1 Targets closed

Horizontal SaaS roll-up

$48M ARR · PE-backed · Aggressive M&A mandate

The platform was evaluating three tuck-in targets in parallel. We ran Quality of Earnings on all three, flagged one with aggressive revenue recognition that would have triggered a post-close restatement, and helped close the cleanest target at a favorable multiple.

“We walked away from two deals that would have hurt us. The third closed 12% under our original bid, and Day 100 came in under plan.”

12%

Price reduction

$4.66M

Adjusted EBITDA

Day 100

Plan delivered

Sell-Side Exit

2x → 3x ARR multiple

Vertical SaaS exit

$2M ARR · Founder exit · Strategic buyer

The founder was exit-ready but the books weren't. We ran a 6-month exit readiness program: clean rev rec, proactive seller-side QoE, a buyer-facing CIM, and a focused outreach list of strategic acquirers. The result was a competitive process with multiple LOIs and a full turn above initial indications.

“We went from a 2x indicative to closing at 3x ARR. Clean books made the difference.”

3x ARR

Exit multiple

$6M

Deal value

6 mo

Prep to close

AI Platform

burn → 18 mo Runway

AI infrastructure platform

$9M ARR · Series A · Heavy COGS from GPU spend

Fast growth was masking a dangerous burn rate. Gross margin was negative on half the customer base because GPU costs weren't being allocated. We rebuilt cost-to-serve, segmented unit economics by tier, and modeled a pricing change that preserved growth while extending runway.

“The pricing change paid for itself in month one. We stopped subsidizing customers who weren't ever going to pay back.”

18 mo

New runway

+22%

Gross margin

✓

Series B ready

Usage-Based SaaS

manual → Day 7 Board pack

Usage-based analytics SaaS

$14M ARR · Series B · Overcome board friction

The board was losing patience with a controller who took three weeks to produce a pack, and the numbers always had caveats. We took over the close, built a single source of truth for ARR and usage revenue, and delivered Day-7 board packs every month from month two onward.

“Our board went from asking us to justify our numbers to asking us what to do next. That's the real unlock.”

Day 7

Board pack

100%

On-time close

−$180K

Revenue leak fixed