Pypestream vs. SnapEngage

Pypestream is suited for standard chatbot and conversational flows versus more multi-departmental scenarios. They do very well with guided flow bot services which are great for agent bots within a contact center, but less so for those implementations that have a large document management implementation for FAQs. They do well with service integrations; however, at times troubleshooting edge cases that are impacting performance and adoption can take a while to remedy. I want to believe that better monitoring tools on the platform side would alleviate this for them.

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It helps business grow, if your business is more reliable on marketing or if your business is in starting stage implementing SnapEngage to your website will give a kick start to your business because it helps to get close with the customers which are in need with those quick questions and responses we are getting from customers using chat agent.

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• Native live agent platform
• Managed services for service creation and maintenance
• Custom analytics

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• Allows team members to see type in real-time before it is submitted. This enables us to gather information for responses in a more timely manner.
• We can see which of our team members are available, busy, or not-available.
• Ability to see some biographical information of chatters and to sync information with Salesforce.

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• Generative AI - Large Language Model Support
• Standardized Reporting
• Custom UI Support
• Developer Tools

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• The admin dashboard is the hardest to navigate of any tool I've ever used! THere are 7 tabs in the left-hand panel. Just within the one tab that reads "Settings" (there is a separate tab for "My Account", also Permissions?) there are 9 tabs at the top (which include names like "Agent Settings", "Integrations", "Design Studio", "Options", "Hub"), then at least another 8 tabs WITHIN those 9 tabs, giving you a total of 14 different pages of settings to search through, again, JUST in the Settings tab. What the heck?!
• Something as simple as notification settings are spread throughout the 14 different settings pages mentioned above. Rather than having one area where you can enter email addresses for notifications, I've had to search through the 14 pages and use Ctrl+F on multiple occasions to fully remove a user from all the notifications they received. This should be much simpler!

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I give SnapEngage a 9 due to how successful our company has been while using it. Unless prices were raised by an insane amount, I don't see us using a competing service.

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I have never needed to contact them for support.

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In comparison to Microsoft Bot Framework or now Azure AI service structure, where Pypestream is better suited is in those organizations who want to truly have a partner in development. Pypestream allows the flexibility for your Dev teams to do it themselves, or to be in a managed service where you provide requirements and information and they build and allow you to test and give approvals. They are more willing to work directly with you versus a Microsoft where you will eventually get pushed off to a 3rd party partner to help with advanced implementations.

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We actually demo'ed LiveChat and LivePerson and besides SnapEngage having a better UI and ease of use, the support from their team was worlds and away above the rest. They let us run an extended demo, gave us constant support, and made sure we felt comfortable before we went live with the system.

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• Enabled the contact center business lane to grow a chat agent support channel that has a 2 to 1 (customer to agent) support ratio
• Provides an alternate channel for training, marketing information, and data services which help grow our business and support different value streams

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• It has allowed us to provide more service with a much smaller team than our phone team.
• It provides us with data helpful to not only ourselves, but our marketing team as well.
• It's customizable so it allows us to create and update our platforms immediately when needed.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info