Best Customer Communications Management Software for Snowflake

Find and compare the best Customer Communications Management software for Snowflake in 2025

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

  • 1
    Pylon Reviews

    Pylon

    Pylon

    $59 per month per seat
    50 Ratings
    See Software
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    Pylon is an All-in-one B2B Support Platform for modern B2B businesses. We provide everything a post-sales team needs, including a ticketing software, B2B omnichannel (Slack Connect and Microsoft Teams), a modern chat widget, a knowledge base, an AI support bot, customer marketing and account management. Support system for B2B businesses. Support your customers wherever they want and allow multiple support levels. Let AI create support articles based on the resolutions of your issues. Use Triggers to codify workflows and business processes, and create Macros for common responses. Track engagement and broadcast new features, newsletters and more to customers. All customer data can be stored, tracked and organized in a dedicated location. Shared view that gives your stakeholders visibility on their team's current issues. If you use or want Slack for customer support, we should talk. Our Slack power users average 180+ customer channels
  • 2
    involve.ai Reviews
    involve.ai is a platform that uses no code to unify all fragmented customer data into an early warning dashboard. Scale quickly without the need for dozens of data analysts or CSMs. Unify all fragmented data to gain complete visibility of customers and scale your customer experience. You can get personalized recommendations for actions across the entire customer journey so you know which customers to prioritize each day and how to be proactive. Sentiment analysis provides accurate customer health information that can help you identify churn risks and upsell/cross-sell opportunities before they occur. Historical data analysis can be used to recommend Segmentation or Benchmarking in order to identify the leading indicators.
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