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The Complete Guide to SaaS Pricing Strategy

Tom Tunguz

Price low to minimize adoption friction, grow quickly, and then move up-market after developing broad adoption. Skimming is less common in the software world because few startups develop a product at launch that will be accepted by the most sophisticated customers (and those willing to pay prices that generate the greatest margin).

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8 Out of 10 SaaS Founders Are Burning Cash Faster Than Ever — And Why YC is On Fire (SVB’s 2025 Data Breakdown)

SaaStr

So SVB still is the #1 bank for tech companies in Silicon Valley and they have a ton of data. The data shows down rounds comprised 30-50% of IPOs even during “good” periods. US developer salaries are showing signs of weakening. They have 24% of all U.S. Companies are reaching the end of their options.

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The Feedback Loops in Data that Will Change SaaS Architecture

Tom Tunguz

About a year ago, I wrote a post on the hub and spoke data model. Instead, the SaaS ecosystem and the data ecosystem are moving in this direction on their own. Here’s a schematic (click to enlarge) that describes how data flows with a cloud datawarehouse (CDW) fed SaaS app. This may be the next shift.

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OneStream: Benchmarking the S1 Data

Clouded Judgement

Our platform unifies core financial and broader operational data and processes within a single platform, with solutions that maintain the integrity of corporate reporting standards for Finance while providing operationally significant insights for business users.

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The Rise of Vertical SaaS: Achieving 110% NRR from SMBs with Mangomint’s CEO

SaaStr

Onboarding, especially for vertical saas products and tools that oftentimes utilize hardware or require a vendor like a Mangomint to ingest 10+ years of existing data on the fly, is an order of magnitude harder since these businesses are open every day. Mangomint has managed such a high NRR despite having no long-term contracts.

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The Enterprise Journey: 8 Keys to Going Upmarket Successfully with Workiva’s CEO Julie Iskow

SaaStr

Look for an innovative enterprise customer who: Is willing to be a development partner Has clear needs you can solve today Will give you access to testing environments Can help shape your roadmap The goal isn’t to build custom features – it’s to deeply understand enterprise requirements and bake them into your core product.

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4 Unexpected Learnings from Databricks’ Sales Growth Machine From Its VP of Sales

SaaStr

4 Unexpected Learnings from Databricks’ Sales Growth Machine Calendar scraping reveals top performers spend disproportionate time on new prospects – Databricks uses calendar data to track how their best AEs allocate time, discovering that overachievers focus on prospect development over existing accounts.

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