Top SaaS Companies in San Diego
List of the largest SaaS companies in San Diego, United States (Click to apply)
These are the top SaaS companies in San Diego, United States. In todays day and age its possible to launch a company from anywhere. We wanted to show some love for San Diego by featuring these 30 companies with combined revenues of $2.3B.
Together, San Diego SaaS companies employ over 10K employees, have raised $132.6M capital, and serve over 27K customers around the world.
- Measurabl $1.0M
- eSUB $1.0M
- SeatAdvisor $1.0M
- TapHunter $1.0M
- SmartDraw $1.0M
- TrustandWill $5.0M
- Buildfire $4.8M
- Mapp-Digital $10.0M
- OnSolve $10.0M
- Cloudbeds $10.0M
- Teradata $2.2B
- Classy $54.0M
- Miva $21.6M
- Biznessapps $18.0M
- LeadCrunch $11.7M
- 01
Teradata
Teradata Corporation is a provider of database and analytics-related software, products, and services.
$2.2B
—
—
9K
1979
San Diego
- 02
Classy
Vertical Industry Software
Classy is an American software company and an online fundraising platform designed for nonprofit organizations.
$54.0M
$57.6M
2K
220
2011
San Diego
- 03
Miva
E-Commerce Software
Miva, Inc. is a privately owned ecommerce shopping cart software and hosting company with headquarters in San Diego, California and a data center in Tampa, Florida.
$21.6M
$18.0M
6K
163
1997
San Diego
- 04
Biznessapps
Development Software
The #1 app maker for small business. Revenue generating features. Easy app builder. 24/7 support. Over 500,000+ small business apps created. Try us free!
$18.0M
$110.0K
3K
90
2010
San Diego
- 06
OnSolve
OnSolve provides solutions for mass notification and critical event management to deliver information and alerts to employees, clients and stakeholders.
$10.0M
—
—
51
1998
San Diego
- 07
Mapp-Digital
Mapp Cloud is a badass digital marketing platform for companies that don’t want to follow the flock.
$10.0M
—
—
251
2000
San Diego
- 08
Cloudbeds
Vertical Industry Software
Award-winning property management software that helps hotels, hostels, vacation rentals and inns save time and automate operations. One system, one login, always in-sync!
$10.0M
$21.0M
9K
384
2012
San Diego
- 10
Buildfire
Development Software
Build powerful custom mobile apps for iOS & Android using our intuitive and easy to use mobile app builder. Powering over 10,000+ apps in the App Store.
$4.8M
$2.5M
1K
30
2012
San Diego
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NextWhat are the fastest growing companies doing?
83 of the fastest growing companies that also have the most revenue have a clear expansion revenue strategy. On average, sales reps are selling plans where starting contract value is $4,606.
Those same companies employ 1,678 sales reps that carry a quota. The most common compensation plan used by these companies is a 1:5 ratio of sales rep on target earnings (OTE) to quota. Meaning if a rep can earn $200k in base and commissions, quota target for that year is set at 5x, or $1m in new ARR closed.
If you’re going to build a high growth SaaS company, you need to figure out how to scale with quota carrying sales reps.
Which CEO’s are the most efficient capital allocators?
We can measure this a variety of ways. Which company has the most revenue per employee? What about dollars in revenue compared to dollars raised? What about time, which founder went from $0 to $10m the fastest?
Looking deeper at dollars in revenue compared to dollars raised, bootstrappers take the cake because they self fund (denominator zero). When we look at companies that have raised at least $1m, Actito is the clear winner generating $21m in revenue, growing 100% yoy, on just 1m raised ($.05 dollars raised for every $1 of revenue).
Omnisend comes in a close second with $.08 dollars raised for every dollar of revenue. Doing $19m as of December 2020. Proposify gets honorable mention with $0.46 dollars raised (3.25m) for every dollar of revenue ($7m).
The worst performers here are companies like YayPay with $3.68 dollars raised ($14m) per dollar of revenue ($3.8m). Many of the worst performers just did a round of funding and haven’t had a chance to deploy to drive growth yet. That makes this data less valuable but still illustrative.