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Diffly
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Make your business truly Customer-centric
Diffly helps you digitize and automate the collection of feedback from your prospects and customers (win/loss analysis, churn analysis).
By connecting your CRM to Diffly, you make sure none of your sales cycles ever ends without collecting feedback. Join the 80% of B2B companies worldwide implementing a consistent win-loss analysis process, and boost your conversion rates by up to +50% (Gartner).
The Diffly Solution
B2B companies often leave money on the table by losing deals they could have won, without knowing why. Our mission is to bring a human touch back into the feedback process. In addition to our CRM-integrated software and structured quantitative surveys, we offer a third-party interview service to collecte feedback from your prospects and customers directly. Diffly combines pragmatism, speed, and plug-and-play efficiency through a unique blend of SaaS and Service:
The Service: 30/45-minute one-on-one interviews with your prospects or clients, revisiting the sales process to gather first-hand insights. As a trusted third party, we gather open and honest conversations.
The Technology: Our platform identifies and automates which deals to target. Then, our AI analyzes conversations, detects key themes, and aggregates insights, helping you make informed, strategic decisions across your sales funnel. Difflyโs high valued added Every sales opportunity becomes a learning opportunity: whether won or lost, Diffly kicks in automatically. Through targeted, structured surveys, we uncover the true decision-making criteria of your buyers, along with rich insights about your market, competitors, and positioning, straight from the field.
Actionable insights, not assumptions: Understand the real reasons behind every win and loss, and act on them. Cross-team alignment: Sales, Marketing, and Product teams access the same insights, ensuring a coherent strategy and data-driven decisions.
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{"enterprises" => "Ideal for enterprise-level applications requiring high security, performance, and scalability.", "developers_with_c#" => "Highly suitable for developers with a background in C#, offering seamless integration with existing .NET applications.", "large_web_applications" => "Perfect for developing large web applications, API services, and microservices.", "teams_using_microsoft_stack" => "Best for development teams already using the Microsoft technology stack, including Azure services."}
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Based on our record, ASP.NET seems to be more popular. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Based on libuv, the library that significantly influenced Node.js, Microsoft modernized the aging ASP.NET with ASP.NET Core starting in 2014. Later, Kestrel, a .NET-based engine, was added as a modern foundation. Minimal APIs marked ASP.NET Coreโs arrival in modern web development in 2021. - Source: dev.to / 7 months ago
Learn how to integrate n8n workflows into ASP.NET Core applications. API integration guide for triggering automations from your C# backend. - Source: dev.to / 7 months ago
In the Microsoft world, it is the direct equivalent of ASP.NET Core. Phoenix is known for high developer productivity and exceptional application performance. - Source: dev.to / 8 months ago
Why Use .NET for Microservices? There are many reasons why .NET is a solid choice for microservices development. Cross-platform support: Using .NET Core and the newer .NET versions (6, 7, and 8), you can deploy your services across Windows, Linux, and macOS platforms. This is useful when deploying to cloud environments like Azure, AWS, or even on-premises. Performance: .NET is known for its high performance. It... - Source: dev.to / about 1 year ago
Most of the books teach C# and .NET, ASP.NET, Blazor, or T-SQL. I also found some .NET-specific coverage of wider topics: architecture and design, concurrency, automated tests, functional programming, and dependency injection. - Source: dev.to / over 1 year ago
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