Twilio offers a CPaaS and CCaaS solution, with the combination of its programmable Voice, Video, and Messaging APIs, as well as the Twilio Flex cloud contact center. Additional capabilities include Twilio's Elastic SIP Trunking, as well as API for WhatsApp.
$0
per min per participant
Verint Speech and Text Analytics
Score 8.4 out of 10
N/A
Verint Speech Analytics is a tool used to transcribe and analyze millions of calls to discover customer insights and improve contact center performance in the cloud.
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Pricing
Twilio
Verint Speech and Text Analytics
Editions & Modules
Programmable Video
$0.0015
per min per participant
WhatsApp Business API
$0.0042
Per WhatsApp Template message sent
WhatsApp Business API
$0.005
Per WhatsApp session message
Elastic SIP Trunking
$0.007
Per min for termination
Programmable Messaging
$0.0075
per message sent or received
Programmable Voice
$0.0085
per minute to receive a call
Programmable Voice
$0.013
per min to make a call
Elastic SIP Trunking
$0.045
Per min for origination
Twilio Conversations
$0.05
per active user per month
Twilio Authy
$0.09
per authentication
Programmable Wireless
$0.1
per MB
Twilio Flex (Contact Center)
$1
per active user hour (5000 hours free)
Programmable Wireless
$2.00
per SIM card
Twilio SendGrid Email API
$14.95
per month up to 100k emails. (Up to 40k emails free for 30 days)
Twilio SendGrid Marketing Campaigns
$15
per month for 5,000 contacts and 15,000 emails. Your first 2,000 contacts are free
Twilio Flex (Contact Center)
$150
per named user per month (5000 hours free)
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Offerings
Pricing Offerings
Twilio
Verint Speech and Text Analytics
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
1. Pay-as-you-go pricing: Simple usage-based pricing means you don’t get locked into big contracts.
2. Volume discounts: Discounts trigger as your usage grows, so you always get a fair price.
3. Start building today with free trial credit and full API access.
I found Twilio to be excellent and very easy to use for a programmer in all aspects related to voice, SMS, and other features utilizing their API. I found the node client to be excellent and helpful. We previously used the Apex client for Salesforce before it was discontinued. Although we try not to use Twilio from Apex anymore, using that client was easier than implementing our own.
Using the verint speech to troubleshoot the mobile app and before we did not have any viability on this topic before. Also before we had no way to look at anything that the guest had going on and now we are really able to drill down in every way to take care of the guest needs
One of the things that I find extremely beneficial about Verint Speech Analytics is the transcription. Sometimes you have an hour call, an hour and a half call, and you don't have time to listen to an hour and a half call. The beauty is that we can find the transcription and then we can look in it. It specifies where if you look in the interaction details in the back of the call, you can actually see the transcription. You can see it'll identify where in the call, what line at what timestamp did that call hit your category and with what string, with what term did it hit. And that is extremely beneficial. And we're trying to go through and find those little points of, sometimes they're points of abrasion, sometimes there are things that are going really well. I love that we have a transcription. I love that we can also see the screens that is vital because a lot of times, and again, not that we're trying to find something bad, but the reality is in any industry, there's in any call center environment, should I say, there's call avoidance. There's always going to be some agents, it's just in any call center, in any industry, it happens.
Or sometimes our agents are just struggling. And if you see in real life, for example, a very high silence time, when we notice a trend, we'll start going into those calls and actually looking at those screens and seeing, is silence time call avoidance or could it be the agents are having difficulty utilizing the resources? Are the resources not clear? Is that what the delay is? Are they having trouble trying to find the answer? And a lot of times we found that too. We found they're searching and clicking and searching and clicking and it's because they just didn't know where to go. So that is a coaching opportunity. And sometimes it's a coaching opportunity, not so much in a positive way because they're purchasing things from Amazon. But I think, like I said, that's inherent in any call center environment. I do find the screens, the transcription, the trend analysis that's available within speech, there are so many things I could literally sit here and talk to you for quite some time.
We love it. And I'm even more excited personally now because I learned so much, as I was saying, about being in the cloud and being in that open-source environment where all of these enhancements that Verint has. And they're so often that they enhance their products and their offering now these little bots and AI to help with all of these different aspects, but that's only available if you're in the cloud and the open source. So there's a lot of benefit in being in prem, in net platform, which is where we are. And we were able to provide a lot of meaningful insight and guidance into a lot of different pain points in the company. But I anticipate, and I have full confidence, that we'd be a much more effective team once we're able to move into the cloud. So I'm very hopeful for that. I'm anticipating what else we could discover.
Segment’s email identifier is case-sensitive, which is ridiculous because emails themselves are not case-sensitive. This means that if I send a capitalized email address in an identify call, it will create a duplicate user rather than matching it with the lowercase email. I think this is a technical oversight that should be corrected.
I’d like to see more information about the eventual transition of existing Frontline customers to Twilio Flex
I’d like to see some integrations between Twilio Studio and OpenAI or another open source LLM to provide automated responses, if this hasn’t been done already
I would like to be able to drag and move the actual lines connecting the steps in Twilio Studio, sometimes mine can get pretty messy
I think a Bug Report form would be beneficial for developers
Automated scrubbing of PCI and PII data from transcription transcripts and recordings. Using AI to detect the payment screens in a real time manner vs having to program triggers.
Easier way to bulk export transcriptions and recordings for our legal teams.
Unless we can get this handled quickly -- less than 1 week -- we will likely switch to another provider who, in my opinion, we'll have to spend close to $3,000 in development time to build a new integration for texting. Our clients need texting and I feel Twilio has failed us miserably.
Twilio has well documented APIs and examples. There are several tutorials, videos and Q&As regarding their services. So, usability is very good. I must say that advanced knowledge of telephony, API/Programming and error-handling is essential to make good use of Twilio. It's not just plug-and-play unless you are integrated with a system that has all of the programming built for it.
This platform offers a wide range of features inclusive of the transcript generation which is text analysis and speech analysis. This helps in tracking the customer requirements and getting them a product they desire. Also the API integration with other tools have a scope of improvement. The UI can be improved and costing can be reduced
Twilio executes what it is designed to do: send SMS messages at scale while providing very good deliverability. I believe that Twilio is very good at what we use for adding SMS messages to our comms strategy. We can see those messages get opened and replied to, which is exactly what we are looking to achieve.
I have not had to communicate with Twilio support in the last 3 years but my past experience with them has been very positive. They replied to my previous requests promptly and kept me well informed to resolve my inquiries. With their documentation that's available, I hardly imagine why anyone would need to contact support since it's all there in a concise and easy to understand format. It would probably take you longer to type out a support ticket than to just open their doc websites.
We evaluated many fundraising-based text-to-give programs and found the subscriptions prohibitively expensive for our small scale and uncertain first few years of development. While we may be willing to invest that kind of money after discovering how things work, we're happy with Twilio now and have no desire to start over.
Verint Speech Analytics stacks up well against workforce management, we use workforce management mainly for forecasting and scheduling. We selected Speech Analytics because we want to know not only why customers are calling but what is being said in calls. Sometimes customer might get angry or they might ask for a supervisor so when we need to look at escalated calls Speech Analytics helps us pick those out.
The system is relatively reliable with minimal downtime. However, when there is an issue, it is often addressed slowly and causes significant business issues