Best Customer Success Software for Microsoft Azure

Find and compare the best Customer Success software for Microsoft Azure in 2024

Use the comparison tool below to compare the top Customer Success software for Microsoft Azure on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Pipefy Reviews
    Top Pick

    Pipefy

    Pipefy

    $20 (per-user billing)
    578 Ratings
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    Pipefy is the AI-enhanced business process management platform that conserves IT resources and empowers business teams to build and deploy up to 85% of their own workflows, including HR, IT, Finance, Marketing, Sales, and more. Easily build, track, automate, and manage any custom workflow, no matter how complex, with no technical knowledge required. Pipefy’s no-code BPM software delivers an integrated end-to-end operation that improves team productivity, control, and visibility from input to delivery. Speed up deployment, lower implementation costs, and minimize process complexity and expensive stack sprawl with a built-in security suite, connections to 300+ apps and systems out of the box, and HTTP/HTTPS to integrate Pipefy with everything else.
  • 2
    Spotler CRM Reviews

    Spotler CRM

    Spotler

    $17.00/month
    Spotler CRM, formerly Really Simple Systems, is a powerful CRM system designed for teams that are growing and working in B2B. Spotler CRM gives your sales team everything they need to manage prospects, customers and sales without letting technology dictate their strategy. The CRM system is also equipped with integrated email marketing modules and customer service desks and can be accessed anywhere from desktops, tablets, and smartphones. The CRM is designed to be easy to set-up and easy to use. This allows you to train your staff in minutes so that you can focus on growing your business.
  • 3
    sensedata Reviews
    Customer Success is a technology-based platform that helps you build trusting relationships with your customers and employees. Advanced techniques are used to analyze large amounts of data. This creates a unique view of customers and generates insights that will help your company be more proactive and precise in its actions. We understand that every company is unique. SenseScore can be customized to meet your business needs and circumstances. To calculate your customer's health, we take into consideration the key indicators. This allows you to anticipate risks and find opportunities for your business. The SenseData platform connects to your digital tools and data sources. SenseConnect is our own API that connects more than 70 tools and data sources quickly and safely. All the information you need to run your business is available. Our team of experts can help you overcome any data barriers.
  • 4
    Scuba Reviews

    Scuba

    Scuba Analytics

    Scaled self-service analytics. Scuba makes it easy to access your data and start mining it for insights, regardless of whether you are a product manager, a head of a business unit or a chief experience officer. Interana allows you to interactively examine your data in real time to see not only what is happening in your company, but also why. Scuba is always available so you don't have to wait for your data. You have access to all of your data at all times, so you can answer any questions you may have. Scuba is designed for everyday business users. You don't need to know SQL or code.
  • 5
    Bellwethr Reviews
    Customer health scores, and other assessments, are largely subjective. They are based on a small number of trivial data points. To be truly data driven, you must use ALL of your data to identify serious signals that can identify risks/opportunities and improve decision-making. Identify trends, predict customer lifetime value, predict the churn, and even identify the next best actions for driving retention and revenue. You can also get access to our data scientists to help you learn and improve. Keep track of the reasons why your customers cancel. You can see which segments of customers are performing poorly and which are improving. You can't keep all your customers forever. Former customers are 45% likely to reactivate compared to new customers. Data science is difficult, but you want to make data-driven decisions. Customer health scores, and other assessments, are largely subjective.
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