Redstor launches a new “Ultimate Guide to MSP Growth” podcast series.
Let’s face it, it’s a pretty tough gig today for MSPs with growth performance under the spotlight. While the overall managed service market is growing, and many MSPs secured new business during the pandemic as they helped companies safely digitise, the market is also attracting new entrants, many of whom have hyper-relevant, innovative, turnkey solutions and are crowding out established players.
With customer needs evolving fast, MSPs need to be on the front foot with stand-out propositions. But developing profitable services that meet customer expectations without significant investment, or risk, is becoming harder.
With competition at an all-time high, how can MSPs differentiate and find new ways to deliver sustainable growth? What’s the formula for creating new revenue streams, and what do they need to do to expand their customers’ share of wallet? The Redstor Ultimate Growth Guide sets out the top focus areas for forward-thinking MSPs who want to not only protect revenue, but to grow in a highly competitive market. Get ready for some hot tips!
In this series, Redstor shares ways for MSPs to supercharge their business and deliver sustainable growth.
Some of the topics that are covered include:
- How you can differentiate and find new ways to deliver sustainable growth;
- The formula for creating new revenue streams;
- How recurring revenue impacts your bottom line;
- What you need to do to expand your customers’ share of wallet;
- And more…
Featuring interviews with Redstor’s partners about their own experiences, as well as expert guests with valuable insights and advice, it’s sure not to be missed.
The podcast series can be found here.
Redstor is a disruptive data management SaaS business that has created a smart, cloud-native platform, which delivers rapid protection of data residing on infrastructure and in a wide array of SaaS applications. Using Redstor's all-in-one platform, MSPs can protect data on-premises, within cloud-native infrastructures like Kubernetes and in SaaS applications including M365, Google Workspace, Salesforce and Xero. The platform leverages AI and machine learning to help companies mitigate data fragmentation and failure points, thwart ransomware and malware attacks, reduce downtime and adhere to global regulatory standards, with no hardware requirement.
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