We were always told that the future was shrouded in a fog. That it was impossible to know what would happen in an hour, a day, a week or even a year.
Then came along Business Intelligence (BI) software and gave us more insight, more knowledge, but that was just the wind blowing the clouds a little bit farther away . Even with BI it seems that only in retrospect can we know whether we made the right choice or whether a decision paid off. At the very best we learnt lessons and applied them to future business decisions – but without clarification.
We at Curve want the fog to dissipate completely – by using and analyzing the data correctly and applying our machine learning technology – we have done just that.
To empower all growth-teams to easily collect, understand and act on user-data, so they can create a better customer experience and increase customers’ Life-Time Value
Like most stories, Curve was born out of personal pain
In 2011, faced by the challenging fragmentation of devices, operating systems and versions, our CEO and founder, Roei Livneh, started a company called Gingee – a service for building apps and converting them to run seamlessly on all operating systems and devices.
But something was missing…
Our clients could build anything and easily convert it across various OSs and versions, but they couldn’t analyze their apps and products in a holistic, cross-organizational way. There was too much data, it was spread across too many different analytical platforms and stored in isolation from any other tool they were using. It made it hard to get real insights. It made it even harder to take the right actions.
And then along came Curve
In 2014, having recognized the need for a unified dashboard for the entire organization–one able to track, analyze and provide actionable insights- Roei and the team built Curve.
Curve empowers all growth teams to collect, understand and act on user data, in order to create a better customer experience and increase customers’ Life-Time Value. Curve does so by getting the right metrics, across all platforms and in real-time, from a single customized dashboard.
But it doesn’t end there…
At Curve, we understand there is no substitute for the marketer or growth expert when it comes to insights, building experiments and optimization, but we also know there’s no reason for businesses to waste valuable time tagging events and looking at the wrong data points.
That is why we introduced Auto-Tagging and Curve Automated Insights. These features provide businesses with machine-learning automated insights derived from existing and analyzed customer-journey patterns – all in real time.
Curve provided us with more data, and by highlighting our users' real-time behavior, it allowed us to optimize all of our mobile apps across OS ad platforms faster, based on better, more relevant data.
Real-time user data is the driver for increasing lifetime customer value.
Curve delivers real-time data faster and more efficiently, enabling us to optimize our app performance when it matters most.
We've worked with several user funnel solutions and each provided us with actionable insights on marketing, UX, product and Q&A. Curve was the only solution capable of supporting all of our organization's needs.