Founded in 2015, Pypestream created the Customer Engagement Center (CEC), a conversational AI solution where the core product, the Customer Engagement Center (CEC), is an all-in-one, cloud-based suite of 12 components designed to transform any business into a fully automated digital brand. With headquarters in New York, Pypestream has a customer base that includes Shell, Chase, Procter & Gamble, Google, Sling, and HBO Max. Pypestream provides customer engagement in several key industries,…
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Verint Channel Automation
Score 8.0 out of 10
Mid-Size Companies (51-1,000 employees)
Verint Channel Automation is a social customer service software that enables companies to engage in large volumes of social media conversations with their customers. The cloud-based software combines intelligent prioritization with team management workflows.
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.
It is well suited for larger organizations that see a lot of content. If you're a very small business with little engagement, Conversocial may not be the most appropriate tool for you. I would ask yourself how much content you see each day/week, is that number going to increase for any reason, and based on that Conversocial may be the perfect fit.
Businesses can analyze how long it takes different agents to respond to customer inquiries on social media. This helps them understand staffing, response time, and how to become more efficient with customer care.
By utilizing the tagging and sentiment features across all conversations, businesses can better understand what their customers are talking most frequently about on social media and whether it's positive or negative. This can help identify frequent product issues that may lead to future design improvements.
Through the dashboard, customer representatives can also easily assign conversations to the appropriate team member. This makes it more efficient for different managers to handle different conversations related to their product expertise.
Determining the sentiment of a social message is something that every predictive modeled Social CRM tool can improve on.
Mechanism for posting to a native site might be more robust. Although our business did not choose to post through the tool. We did not use any other mechanism to automate our posts.
The only two reasons we would not continue using Conversocial are it's lack of comprehensive analytics and its lack of Radian6's categorization tools. Tags make up for the categorization pretty well, however, and we're considering switching everything over to this now that we've tested tags for a couple months within Conversocial. (I previously wrote that Conversocial lacks support for some social channels like Instagram, LinkedIn, and YouTube, but they have now added Instagram and YouTube.)
Because of the number of features it offers and the manner in which they're presented. I've explored a number of other tools that just don't do it as well. When sorting through and responding to hundreds of social media messages each day, the number of clicks it takes to do something really matters. Conversocial does a great job of minimizing clicks and presenting the data we need without having to click to find it
Our account rep at Conversocial has set up a call with me every two weeks to check in, talk about new features, or answer questions. I know I can email or call her for help anytime. Their support team also responds quickly.
Comprehensive training in all aspects of the software and general usages (including social media) for both agents and managers. Simulation workshops really made the live deployment process very smooth.
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.
Early on we did comparisons with Hootsuite and later with Adobe. While they have similarities, the difference at the time and likely currently, was the personal interest and general accessibility of Conversocial's platform and people. The combination of an effective CRM solution and a team that was readily available to help proved to be the winning formula for our business.
One of the biggest benefits we are seeing is that we have reduced the number of post-holiday complaints coming into head office. Since we are responding to issues and concerns as they arise, we can impact overall customer satisfaction.
The efficiencies gained from using a centralized platform for managing the response process has enabled us to reduce our team by 50%.
We can track that we are responding to a fan's first message within 30 minutes.
We can track the number of messages each user engages with.
We can see the most effective times of day to post and reply.
