How else might they be monetizing free users - would be interested to hear others views.
Some thoughts below, just spitballing, again apologies if this has been discussed already. And yes, some of it is for paid users. But for a lot of this to make sense, they need a large installed base of “free” customers.
1 - Transcription itself. Already offered, I see. A full, searchable record of every call.
2 - Voice biometrics. Who was present on the call (not just logged into the call, but who actually spoke)? Who spoke the most during the call? Was there a lot of cross-talk (interruptions during the call)? What percentage of the call was men talking versus women talking (Gender Identification), something that could be relevant to some institutions to ensure all people are being heard, etc.
3 - Scripting of calls (important during more structured calls or meetings). Did the host state the agenda of the call at the beginning of the call? Did the host outline clear “next steps” at the end of the call? For financial or healthcare transactions, did the company use the proper script before initiating the transaction, e.g. “Please confirm that you agree to transfer ____ from account ____ to account ___” or whatever…
4 - Emotion detection during the video call. Did people get angry or upset during the call? This is an area that is still in its infancy, and very culturally dependent (when using voice only). Now it’s more about people raising their voices, or certain “key words” that are used. But with so much data, Zoom can start to build their own voice models here and provide more feedback to users, or flag certain calls, etc.
In addition, when you combine voice data with video analytics, you have a much better idea of the emotion of people on the call. Zoom has this, obviously, as they are filming all callers! Can you image how valuable that will be to companies trying to sell services to callers through Zoom? Companies could analyze a ton of data (e.g. revenue per call, or customer satisfaction) based on specific scripts used on the call, then modify those scripts to increase sales, provide better service, etc. Companies do this now in their call centers to some degree, but they are limited by having only voice. They can’t “see” their customers’ facial reactions during a traditional call, which helps a lot with emotion detection (especially when combined with the voice data).
And this brings up another huge area for Zoom (again, apologies if already discussed):
5 - Zoom’s platform could easily be integrated into existing call centers, much like we see now with WhatsApp and other messaging platforms, at least here in Europe and the Middle East (can’t comment on the USA, as it’s not my market). As more people get comfortable with Zoom’s platform, I could see companies offering video calls to customers. It will make the interaction more personal, etc. So customers would be using Zoom’s “free” version, while companies contact them, or customers use Zoom to reach out to various companies to resolve issues, get info, etc.
There is a ton of companies now moving their call centers from premise based (10’s if not 100’s of people jammed together in one room, not safe!) to more virtual configurations, with call center agents working from home. The perfect catalyst to drive more video calling. All of the analytics I described above become much more relevant in this kind of environment, e.g. call transcription, voice biometrics, emotion detection, etc. Companies will want to know what is happening on all of these video calls.
Again, just spitballing here. As I wrote some months ago, the problem before Zoom was that most video calling platforms sucked, or they were linked to a mega corporation (Cisco, Microsoft), making it harder for other companies to adopt their solution. Zoom is seen as independent, flexible, and less threatening. And if they can attract so many free users to become the de facto standard, Zoom will also be seen as the go-to platform through which companies can reach their customers and vice versa.
As this virus vaults Zoom into the lead with everyday consumers, those “free” accounts will be monetized through interactions with corporations who are paying top $$ for the privilege. So many possibilities!