Iterable is an AI-powered customer communication platform that activates customers across channels in real-time. With intelligent personalization, dynamic content, and a cross-channel suite, Iterable helps brands create seamless, data-driven experiences across email, SMS, push, and in-app notifications.
N/A
Pypestream
Score 7.0 out of 10
N/A
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,…
Iterable is great for any marketing team looking to ramp up the capabilities on lifecycle marketing specifically if you're a company with a lot of data and/or SKU's the product makes handling a lot of complexities much simpler and enables my team to move much faster even as a small team
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.
Locale management: being able to copy and past a template section/row/content from a locale to another. Also, be able to duplicate any locale to any locale. So far we can just duplicate the default locale into the rest of the locales
Outages - I feel in the last 1 and half, more outages are happening, impacting their clients
Iterable is super easy to use. I have experience with competing platforms, but Iterable is by far the most intuitive platform to use. I also really appreciate the way the product team is willing to accept product requests
Iterable is there like 99.9% of the time. However, when it goes down, it grinds us to a halt. Most of the time, outages are an hour or less, but if that's at a peak time, it can be a nightmare. That said, when the worst does happen, there are frequent updates and an easy situation tracker that give you an estimate of how much longer you'll have to wait for the issue to be resolved.
The API is super quick. The UI can be a little sluggish depending on what you're loading, but overall Iterable performs great. Iterable appears to do a good job of making processes async so that one action isn't blocking another.
I've never experienced any issues with Iterable. As I and my colleagues have learnt the system and it's features, response to questions and advice from our account manager is always quick. Kevin knows the product well, and with the few tricky questions has hasn't been able to answer he's been quick to get back to us.
As mentioned previously, I was hired to do a migration from ActiveCampaign, and I stayed for 2 years as a power user of Itearble. Since leaving OneVision Resources, I have continued to volunteer my time in a regional user group, which I would not do if the platform, product, and company were not so strong and so marketer-forward.
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.
We've definitely tested scalability, and it's no line - it works. The process is pretty easy. Most of the times it goes off without a hitch. Any time we do encounter issues, our support team is quick to get on the job and very communicative as they work us through a successful launch.
I do not have hard numbers, as I am not in the department that deals with those kinds of quantifications of impact. However, I do believe the use of Iterable has been a positive thing for us in providing more comprehensive data that is useful when dealing with customer tickets.