Hello. I have a question about getting data into Klaviyo for more personalized product recommendations.
For context, we’re building a Shopify app that uses a special kind of campaign to generate and share dynamic quizzes. So, for example, for Halloween you could automatically generate a quiz like “Are You a Skincare Witch or a Moisture Mummy? Find Out Now!” in a few minutes to your lists, on your site, social channels, etc.
Your customers would take the quiz and get timely product recommendations along with other preference data you could use for follow-on marketing campaigns.
Klaviyo has some built-in options to make recommendations:
But how to we send this new quiz data to Klaviyo to make even more personalized recommendations?
I reviewed the Klaviyo docs on this, but see no obvious way to do this.
The preference would be an option like: Personalize based on “Products a customer may like based on quiz results” where we either 1) give Klaviyo the customer preferences to recommend the products or 2) we just send the specific recommended products for that customer (where our own AI LLM does the recommendation) to Klaviyo based on the responses.
But second best would be to add preferences in tags or some other meta that Klaviyo gets, assuming Klaviyo’s built-in AI can consume those.
Klaviyo’s CDP launch make me think something like this may be available now, but I’m still trying to figure it out. Anyone have any ideas? Has anyone done something similar?
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