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Boost SaaS User Satisfaction With Surveys & Quizzes

Qrvey

What’s the easiest way to discover what your SaaS users like and dislike most about your software? For far too long, user feedback has been a tedious and often overlooked part of software development. Qrvey is unique in that we are an all-in-one analytics platform.

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Don’t obsess over your product — obsess over your market

Modus Create

A few months ago, I joined Arman Eshraghi (CEO and founder of Qrvey , provider of embedded analytics for SaaS applications) on his podcast SaaS Scaled to share my experience launching SaaS products. After developing and launching multiple apps, I have definitely learned to be in the second camp.

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The Benefits of Infused Analytics for SaaS Applications and Companies

What’s the biggest challenge for SaaS companies? There are only so many priorities your product team can manage and there are only so many things your developers can afford to devote their time, attention and resources to. See how infused analytics can take your SaaS applications to the next level.

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Start Taking Your Embedded Partnerships Seriously

But if everyone knows that the development team is the lifeblood of your application and company, why are they often saddled with embedded technologies they don’t enjoy using? Here at Qrvey, we’re built for the way you build software. It’s time to start taking your embedded partnerships seriously.

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Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics

Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital.

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“Build vs Buy Analytics?” The Question ALL SaaS Leaders Need to Answer in 2024

As a SaaS leader, you know that the more metrics, insights, and analytics you add to your products, the more engagement you’ll have – and the stickier your product will become with customers. At what point do you decide to keep building your analytics in-house or invest in an embedded analytics solution?