These are the top SaaS companies in Peru. In todays day and age its possible to launch a company from anywhere. We wanted to show some love for Peru by featuring these 17 companies with combined revenues of $23M.
Together, Peru SaaS companies employ over 339 employees, have raised $6.2M capital, and serve over 21M customers around the world.
Latka gets data on SaaS companies by interviewing the founders directly. Over 3,000 interviews organized in excel.
Top SaaS Companies with $5 - $10M ARR
Top SaaS Companies with $10M+ ARR
Latin America's first marketplace platform to bring together retail and brand stores under one online shopping mall site.
Event Management Software
Developer of a karaoke application designed to revolutionize the karaoke singing experiences. The company's karaoke application is a cloud-based karaoke song repository and streaming management system which can make musics interactive, competitive and social, enabling users to search songs on their smartphone or smart TV by title, artist or a section of the lyrics and then they can select songs and add them to a playlists.
Quantico is a Social Analytics, web based tool for the Hispanic and Latin America Market.
The Quickbooks for workflow automation.
LAUS is a cloud-based HSE management software to facilitate compliance in medium sized organizations in Latin Americ
Developer of a gym management and retention software designed to help in the growth of gym and sports centers. The company's software offers client management, class attendance, inventory, operating reports and more to increase sales and client retention, enabling clients to attract more customers.
E-signatures with identity verification for Latin America
Delivery Service Software
Provider of an on-demand logistic platform intended to optimize the time of the shipments. The company's logistic platform tracks the courier in real time, take charges of only the shipments and deliver products with additional security, enabling shipping and logistics businesses to perform courier services and express logistics in multiple means of transport.
Live Digital Learning that reinvents educational systems & corporate training worldwide with Artificial Intelligence.
Financial Services Software
Provider of an online comparison platform. The company helps its users to find and compare different services based on their needs.
What 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.