Our musings on making video personal
Personalized videos are impactful in connecting with customers, but one important early consideration is how to generate the videos. As digital marketers commit more resources toward personalization and leveraging the power of ‘big data’ to maximize the results of those initiatives, real-time video is fast becoming the preferred content format for personalization.
To qualify as real-time, a video must generate at the time the consumer clicks to view it. This means the video includes content that is either “fresh” or cannot be constructed or calculated in advance.
In summation: if a consumer watches the same video twice, two minutes apart, and potentially receives two different videos – it’s real-time video.
For personalized engagement with real-time video, brands must determine a delivery approach for their data in alignment with personalization strategies and, ultimately, the desired customer experience. The more real-time, “fresh” content there is in videos, the more the consumer feels the video “talks to him” and “understands her.” This is key in strengthening customer engagement.
Personalized real-time videos require data unique to an individual, meaning sensitive customer information must be secure and within a brand’s control. In a real-time delivery format, this data is used in memory only, but is not stored. The video streams to the viewer upon request. Following the video’s generation and consumption, all traces of the data and the video erase promptly. If the consumer wants to view the video again, the consumer requests another video, and the video generates in real time – again.
Real-time video generation ensures videos are delivered with the most accurate and up-to-date data available, creating a much more involving and customized experience. When a video depicts the most current status of a consumer’s account, it’s as if the video is “alive,” reacting instantly to a consumer’s responses. The actions flow from one to another seamlessly, with no lag time in between. In one continuous engagement, for example, a consumer can view their video bill, pay the balance and receive a video confirmation of payment.
There may be cases where pre-made, batch videos make sense, e.g., if consumer data changes infrequently or if retrieving a real-time feed of particular data types is too challenging.
However, if brands want to remain engaged with customers, delivering highly personalized real-time videos leveraging dynamic customer data is the most efficient way.