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Table of contents

Every month, billions of dollars get processed on Ramp cards for business expenses. And every month, we share the new vendors that customers are purchasing for the first time, to give you a glimpse into emerging market trends, companies on the rise, and much more.

'Tis the season for holiday gatherings and year-end spending.

This month, we saw several vendors with seasonal vibes emerge on our list of top vendors: both Evite and Paperless Post made the list as companies look to spread holiday cheer to clients and employees.

Here’s a breakdown of the top new vendors for November:

By new customer count
By new card spend
1. GoDaddy
2. Canva
3. Microsoft Office / Azure
4. Adobe
5. OpenAI
1. ZoomInfo
2. LinkedIn
3. HubSpot
4. Atlassian
5. Avalara

And the top vendors by the percentage change in spend:

Biggest percentage change in new customer count
Biggest percentage change in new card spend
1. GoDaddy
2. Formstack
3. Evite
4. StackBlitz
5. Paperless Post
1. Skyflow
2. Figma
3. Lattice
4. Chargebee
5. Medallion

StackBlitz burst onto the scene in October with the launch of its web development AI agent, Bolt. Bolt helps developers and designers use leading AI models to generate, deploy, and troubleshoot code directly in the browser. Within four weeks of launch, Anthropic announced that Stackblitz had achieved $4M ARR with the integration of Claude. 

Skyflow has also seen enormous growth this year. Originally an API that stored personally identifiable information (PII) for its customers, Skyflow has expanded into AI data management, protecting sensitive data from being sent to LLMs. Given the number of companies that have deployed AI this year, it’s no wonder that there’s an increased demand for data governance. 

Also AI-related, Chargebee now lets companies offer subscription services based on AI usage rather than the number of seats (or a combination of the two). As we’ve written previously, “every company is an AI company” now, racing to add AI features to their products. For any SaaS company, the traditional per-seat pricing model doesn’t work if the costs to run AI exceed the per-seat price. We expect to see a lot of pricing models change as companies see their customers rely more on AI features.

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Head of Analytics Engineering & Data Science, Ramp
Ian leads the charge of developing Ramp’s cutting-edge data capabilities, and the platform and team behind the products and insights. Ramp’s data team leverages SQL, Python, and ML/AI techniques to empower teams across the company to make informed decisions, and to save Ramp customers time and money. Prior to joining Ramp in 2021, Ian led data teams at B2C the marketplaces Drizly and Wayfair, where he learned quite a bit about data in highly regulated environments (fintech law has nothing on alcohol law), pricing and recommendation algorithms, and everything that can go wrong shipping a rug or sofa. Ian holds a Master of Business Administration from Harvard Business School with honors, and an BA in Mathematics from Dartmouth College, where he was a member of the NCAA Alpine Ski Team. Ian lives in New York with his wife, and is an avid skier, road cyclist, and Red Sox fan.
Ramp is dedicated to helping businesses of all sizes make informed decisions. We adhere to strict editorial guidelines to ensure that our content meets and maintains our high standards.

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