Signals are tags you can apply to your calls to help you classify and segment them. Each Signal you create in your Invoca account acts as a condition, and Invoca checks every call to see if that condition is met or not.
Signals can segment your phone calls based on data captured before your call begins — such as the customer information gathered with Marketing Data — as well as insights that occur during the phone call itself. Here are a few different types of insights you can gather with Signals, along with some sample business cases your Signals can address:
Invoca processes different Signals at different times, which can be important depending on your business case and how you want to put your Signals to work. Let’s take a look at the differences between Signals that process before your phone call takes place and Signals that process shortly after your phone call ends.
To access your Signals, login to Invoca and select Signal in the gray menu ribbon. Here you’ll see a list of Signals you’ve created in your account, along with columns showing relevant information about that signal. From this page, you can also create new Signals, Import call conversions via Signal file upload, and train the accuracy of your Signal AI.
To create a new signal, click the + New Signal button, then select whether you want to create a rule-based Signal, in which you define conditions you want Invoca to check in your phone calls, or an AI Signal, which uses machine learning to predict when Signals occur during the conversation between the caller and your business. You can also create Signals to track your callers' touch-tone IVR keypresses you include in your call treatment. To learn more about creating these types of Signals, check the links above.
From your Signal menu, you can also pause your Signals, which stops them from being processed on your phone calls, or delete your Signals, which removes the Signal from your Invoca account. Please note, we do keep some historical records of deleted Signals on past calls but the specific Signal column will be deleted from Invoca reports. You can also edit your Signals in this menu, but we strongly recommend that you don't change the name of your Signals, so as not to disrupt your historical reporting data, as well as any integration that might rely on those Signals.
You can change the value of your Signals for a given call, in case there's an inaccuracy in the automated voice transcription service or your file upload import. You can change your Signal Values to True, False, or Not Applied — meaning the phone call had no opportunity for that Signal to take place. Correcting your Signal values can help improve your Invoca reports, better evaluate your sales representatives, and train your Signal AI models. To learn more, see How to change your Signal results manually.
To pause or delete a Signal, return to your Signals menu and find the Signal you want to manage in your list of Signals. In the Actions column, click the ellipsis button, then select Pause Signal or Delete Signal.
Do you want Invoca to find new insights you may want to turn into Signals? No problem! You can use our Signal Discovery feature to put our unsupervised machine learning engine to work analyzing and clustering your calls into common themes or topics. Each topic in Signal Discovery is already trained and ready to be created into a new AI Signal to get real-time advanced insights from your phone calls. See Signal AI: Automatically analyze and detect Signal topics using Signal Discovery to learn more.
Now that you’ve set up your Invoca account to tag your phone calls with the Signal insights that are important to your business, it’s time to put that data to work. Check out our Basic Knowledge: Integrations to learn how to send your Signal data to your other marketing apps. You can also include Signals in your call treatment to customize your caller’s experience, or collect several Signals together to evaluate your phone calls and sales representatives using call scoring. Finally, read Viewing Signals in your Invoca reports to track your Signal insights and share them with the rest of your team.