marketing_ops · saas · workflow
Behind the Scenes of Canva's DesignDNA Campaign: Generative AI Delivers 95 Million Personalized Year-in-Review Experiences
Canva wanted to create a personalized year-in-review experience for millions of users but could not access personal design content due to strict privacy policies, and could not manually create content at the required scale.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Audience selection and consent
Target users were selected based on a minimum threshold of design activity, engagement levels, and consent for personalized marketing.
Tools used
Dream Labgenerative AI
Outcome
Canva delivered 95 million unique DesignDNAs, matched 99% of its target audience to a personalized design trend, and generated over a million poems across 9 locales using generative AI.
Results
Volume95 million
Running sinceDecember 2024
Grounding & classification
Source type: technical build writeup
24 fields verified against source quotes, 2 dropped as unverifiable.
content generationpersonalizationtranslationproduct catalogsocial media postbuilder submittedhuman review describedmetric backednamed customerproduction runtime claimedworkflow describedsoftwarethroughput increasetechnical build writeupmarketing opsai draft human approvaldata sync enrichment