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Why hyper-personalized videos strengthen customer loyalty
500,000 Christmas greetings and not a single cut-off name: What hyper-personalized videos need in large quantities
In mid-December, Annegret Schmidt-Brockhausen opens an email from her car dealership. In the video, the team wishes her a Merry Christmas, with her name in large letters and her dealer's name underneath. Everything is perfectly aligned. The hyphenated name wraps at the right spot, nothing spills over the edge, and the animation runs just as smoothly as it does for Mr. Ott, who received the same email.
For a single video, this is a given. You build it, watch it, make corrections, and you're done. With 500,000 videos, it’s a different story. Somewhere in the database is the longest surname in the country, somewhere is a dealer with a three-line company name, and somewhere is a field that was left blank. And none of these cases can be allowed to stand out.
We built vidflare for exactly these scenarios. What a platform needs to be capable of to handle this is less obvious than it sounds.
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Why data-driven video production at scale requires deterministic systems
Why hyper-personalized videos strengthen customer loyalty
Which elements you can personalize with vidflare
Imagine a customer receives an email from their car dealership three weeks after purchasing their station wagon. Inside is a short video: their specific model in their exact paint color, a voice addressing them by name, a map showing the way to the local service center, and the appointment for their first inspection at the end. Nothing new was filmed for this. The video was created from a template and a single line in the customer database.
That is exactly what this is about: Which building blocks of a video can be linked to data with vidflare, and how can you use them along the customer journey?
500,000 Christmas greetings and not a single cut-off name: What hyper-personalized videos need in large quantities
In mid-December, Annegret Schmidt-Brockhausen opens an email from her car dealership. In the video, the team wishes her a Merry Christmas, with her name in large letters and her dealer's name underneath. Everything is perfectly aligned. The hyphenated name wraps at the right spot, nothing spills over the edge, and the animation runs just as smoothly as it does for Mr. Ott, who received the same email.
For a single video, this is a given. You build it, watch it, make corrections, and you're done. With 500,000 videos, it’s a different story. Somewhere in the database is the longest surname in the country, somewhere is a dealer with a three-line company name, and somewhere is a field that was left blank. And none of these cases can be allowed to stand out.
We built vidflare for exactly these scenarios. What a platform needs to be capable of to handle this is less obvious than it sounds.