CallRail offers phone call tracking, recording and analytics.
$50
per month
Observe.ai
Score 8.0 out of 10
N/A
Observe.AI, a provider of Contact Center AI in San Francisco, supports customer experiences and agent performance by helping to analyze interactions, extract sentiment insights and streamline workflows. With Observe.AI, businesses transcribe interactions to coach agents while gaining visibility into customer service operations. Observe.AI technology includes agent assistance, automatic speech recognition, and Natural Language Processing (NLP) to contact centers.
This is great software for differentiating where phone traffic is coming from. Whether it's paid/organic search, you can see exactly where the calls are coming in from. I'd love to see them add text/SMS features in the future, but it does what it claims. I'd also like to see more CRM integrations, but not sure that other users share the same sentiment
I can not think of any scenarios where Observe.AI is not well suited and believe that the use cases are limited to the imagination of the individual creating the moments. Observe.AI is like having a personal coach for each and every one of our sales and customer service personnel. We have even rolled this out to our operations team to ensure that we have compliance with company standards on all of our calls.
Reporting - We love the breakdown for attribution and sources for calls. CallRail makes reports easy to understand and lets you share them with clients.
Call Tracking - This may be obvious, but you get so many options with CallRail in terms of your number pool, recording options, picking your numbers, etc. It gives you the metrics you care about and they haven't experienced any calls mis-forwarding.
Support - With other companies, I've had to wait for days and days to hear back. With CallRail, they normally get back to us on our tickets fairly quickly and they have a great knowledge base for common questions too!
Sometimes the automatic tagging can be wrong, in terms of whether it's a lead or not, or what the call was about.
It's not an all-encompassing platform, and would be so much better if it weren't so isolated to its core functionality - would like to see some more integrations.
Setting up the phone numbers can be difficult for some people.
We are very satisfied with the features, support, follow up and value that Observe.ai has brought to our organization. They are also very easy to deal with and very willing to listen to recommendations to help boost the solution.
The platform is easy to use and we really don't have any complaints with using it so far. The information is invaluable for clients that rely on phone calls to drive more business. Not much negative to say about it at this point. We're actually really happy with it so far and the cost is manageable.
Their UI is very easy to navigate and understand. Most features are easily accessible and they seem well balanced and connected with each other. Users at our company have been trained with good proficiency levels in just a few hours, and high proficiency can be achieved in a week or less if you spend the time to practice.
Fortunately, we had a lot of experience with CallRail. That in itself is an indicator that it has just worked for us, and done what the product is supposed to. We've never once wondered if the data was tracking accurately. This is unfortunately less common these days it seems, but we're happy with CallRail as a whole in our organization
We have utilized Google call tracking within AdWords before, but considering it is a Google product, it can sometimes be biased. Having that third party vendor elevates that. Google Call tracking is only limited to running AdWords campaigns, so if we need to use a phone number in any other fashion within our business, it couldn't be used.
Historically, I used CallRail for hundreds of Clients and it allowed us to track more than 50% of conversions that came from a website for service style businesses. It's actually extremely eye opening to see how much comes in for phone calls for some types of services. With SaaS it's interesting to see how reliant on a human conversation people can be in order to make a decision about something so intangible.
