Scaling Ramp to the Fastest-Growing
SaaS in History

Sri Batchu

Head of Growth, Ramp
(ex-Instacart, Opendoor)

JUN 25 2023

Core Concept

The B2B Growth Ladder

"Channels get more expensive as you go further along, but also more effective as you understand your customers."

Start with founder-led sales: learn to sell yourself first
Add salespeople, then low-cost content & community
PR before paid, credibility before spend
SEO & paid together, only once you know the customer

Framework

The Ramp Growth System: Tech × Data × Every Channel

4×

revenue growth in 1 year

2yr

to $100M ARR

<500

employees at that scale

Growth eng co-owns quota: engineers accountable for pipeline driven, not just product metrics
Technologize every channel: AI for lead scoring, outreach drafting, prospect prioritization, 2 years before it was trendy
Cap table as growth strategy: co-founders put early-stage founders on the cap table → first customers who loved and referred the product
Skunk works team: small cross-channel squad tests TikTok, Reddit, referral UX, and first-party events
PR as market moment: fundraise announcements packaged with unique business data makes each round a top-of-funnel event

Sri's secret sauce The distribution mix is not unusual, what's different is every channel is driven by technology and data. Ramp builds a competitive moat inside each channel, not just across them.

Growth System Deep Dive

North Stars, Translation Layers & Payback Period

The Two-Metric Rule

Every growth team needs two north stars: one for volume (motivating, intuitive, directly impactable) and one for efficiency (payback period). Revenue is too lagged; vanity metrics are too loose.

Instacart north star: Monthly Active Orderers. Ramp: Dollars of SQL Pipeline.

The Translation Layer

Sub-teams own local metrics (app load time, checkout conversion rate). A finance+data model converts each local metric into MAO or SQL pipeline impact, enabling cross-team resource allocation on a single currency. Updated every 6 months.

Why Payback Period beats CAC

CAC focuses on cost, ignores value, you can "win" CAC by acquiring cheaper, lower-quality customers
LTV/CAC is too assumption-laden for companies under 5 years old
Payback period uses contribution margin (revenue minus all variable costs including support), grounded in recent reality
Example: $5K acquisition ÷ $500/mo contribution margin = 10-month payback

Velocity culture: days.ramp.com

Every board deck and all-hands shows the live day count since founding (Day 1,529.43…). The decimal is always ticking. Cultural message: work in days, not quarters. Never put off tomorrow what can ship today.

Tactics

Fail Conclusively & Hire on Slope

Fail conclusively, not just fast: in B2B you can't get large N, so maximize treatment effect, throw every tactic at the hypothesis at once, then cost-rationalize if it works
30% experiment success rate is normal, build culture where learning from failure counts as winning
MECE your problem space: before brainstorming, collectively exhaust all possible root causes (revenue slow? new acq? activation? retention? product line?)
Hire on slope, not intercept: invest in people growing fast; only hire when teams are genuinely stretched
Data-driven sourcing: use SimilarWeb traffic data to find which companies are actually best at the function you're hiring for

Calendar as strategy "You ship your calendar." Weekly calendar audits, personal and team, ensure time allocation reflects actual priorities. Ramp's People team has a template for it.

Contrarian

Growth Myths Sri Batchu Rejects

✗ Reduce CAC to improve growth efficiency INSTEAD → ✓ Minimize payback period on contribution margin. Obsessing over CAC brings in cheaper, lower-value customers, you win the metric and lose the business.

✗ Team structure is what makes a great growth engine INSTEAD → ✓ Culture, rituals, and cadences matter far more than org design. A team that hypothesizes, evaluates quickly, and ships MVPs beats any org chart.

✗ Fail fast, just run small quick experiments INSTEAD → ✓ Fail conclusively. In B2B you rarely get statistical power from small N. Maximize treatment effect so a negative result closes the door permanently, not just delays the same debate.

✗ Compress comp bands for fairness INSTEAD → ✓ Design for 10× comp for 10× operators. Small elite teams outperform large average ones. Equal bands are a talent retention trap that slowly degrades your talent density.